Data Encryption and Decryption Using Python Source Code - Cryptography Using Python Source Code

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 ABSTRACT

            Message security is an utmost concern in the web attacks are become more serious. The Message  encryption and decryption has applications in internet communication, military communication, medical imaging, multimedia systems, tele-medicine, etc. To make the data secure from various attacks the data must be encrypted before it is transmitting. Absolute protection is a difficult issue to maintain the confidentiality of Message through their transmission over open channels such as internet or networks and is a major concern in the media, so Data Cryptography becomes an area of attraction and interest of research in the field of information security. The project offer proposed system that provides a special kinds of image Encryption data security, Cryptography for encrypted Message to extract. This approach provides high security and it will be suitable for secured transmission of data over the networks or Internet.

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Prof. Roshan P. Helonde
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Lossless Image Compression Using Huffman Algorithm Full Matlab Project Source Code

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 ABSTRACT

            The lossless compression is that allows the original data to be perfectly reconstructed from the compressed data. Lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that probable. The main objective of image compression is to decrease the redundancy of the image data which helps in increasing the capacity of storage and efficient transmission. Image compression aids in decreasing the size in bytes of a digital image without degrading the quality of the image to an undesirable level. Image compression plays an important role in computer storage and transmission. The purpose of data compression is that we can reduce the size of data to save storage and reduce time for transmission. Image compression is a result of applying data compression to the digital image.

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Video Steganography (Hiding Audio In Video) Using Matlab Source Code

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 ABSTRACT

             Steganography is one of the methods of secret communication that hides the existence of message so that a viewer cannot detect the transmission of message and hence cannot try to Extract it. It is the process of embedding secret audio file in the cover Video file without significant changes to the cover video. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide security. In this project we perform Video Steganography for Hiding Secret Audio In cover video using matlab.

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Prof. Roshan P. Helonde
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Audio Steganography For Hiding Secret Audio In Audio Using Matlab Source Code

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 ABSTRACT

             Steganography is one of the methods of secret communication that hides the existence of message so that a viewer cannot detect the transmission of message and hence cannot try to Extract it. It is the process of embedding secret data in the cover Audio without significant changes to the cover audio. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide security. In this project we perform Audio Steganography for Hiding Secret audio In Cover audio using matlab.

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Prof. Roshan P. Helonde
Mobile: +91-7276355704
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Email: roshanphelonde@rediffmail.com
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Image Steganography For Hiding Secret Image In Image Using Python Source Code

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ABSTRACT

             Steganography is one of the methods of secret communication that hides the existence of message so that a viewer cannot detect the transmission of message and hence cannot try to Extract it. It is the process of embedding secret data in the cover image without significant changes to the cover image. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide security. In this project we perform Image Steganography for Hiding Secret Image In Cover Image Using Python.

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Prof. Roshan P. Helonde
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Image Encryption Decryption Using AES Algorithm Python Project Source Code

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 ABSTRACT

            During the last decade information security has become the major issue. The encrypting and decrypting of the data has been widely investigated because the demand for the better encryption and decryption of the data is gradually increased for getting the better security for the communication between the devices more privately. The cryptography play a major role for the fulfillment for this demand. The purpose of this project is to provide the better as well as more secure communication system by enhancing the strength of Advance Encryption Standard (AES) algorithm. AES algorithm was known for providing the best security without any limitations.

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Matlab Code for Brain Tumor Detection Using CNN (Convolutional Neural Network) Matlab Project Source Code

              

 ABSTRACT

          Brain tumors are the most common issue in children. Approximately 3,410 children and adolescents under age 20 are diagnosed with primary brain tumors each year. Brain tumors, either malignant or benign, that originate in the cells of the brain. The conventional method of detection and classification of brain tumor is by human inspection with the use of medical resonant brain images. But it is impractical when large amounts of data is to be diagnosed and to be reproducible. And also the operator assisted classification leads to false predictions and may also lead to false diagnose. Medical Resonance images contain a noise caused by operator performance which can lead to serious inaccuracies classification. In this work we used Brain Tumor Detection Using Convolutional Neural Network CNN.

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Message Encryption Decryption Using AES Algorithm Python Project Source Code

           ,    

 ABSTRACT

            During the last decade information security has become the major issue. The encrypting and decrypting of the data has been widely investigated because the demand for the better encryption and decryption of the data is gradually increased for getting the better security for the communication between the devices more privately. The cryptography play a major role for the fulfillment for this demand. The purpose of this project is to provide the better as well as more secure communication system by enhancing the strength of Advance Encryption Standard (AES) algorithm. AES algorithm was known for providing the best security without any limitations.

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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DCT Based Image Steganography and Compression Matlab Project Source Code

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 ABSTRACT

            Steganography is one of the methods of secret communication that hides the existence of message so that a viewer cannot detect the transmission of message and hence cannot try to decrypt it. It is the process of embedding secret data in the cover image without significant changes to the cover image. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide security. The proposed technique use Discrete Cosine Transform (DCT). The proposed method calculates each DC coefficient and replace with each bit of secret message. The proposed embedding method using DCT. In this project we perform DCT Based Image Steganography and Compression.

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Social Distance Detection & Alerting System (Covid19) Python Project With Source Code

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 ABSTRACT

          In addressing the worldwide Covid-19 pandemic situation, the process of flattening the curve for coronavirus cases will be difficult if the citizens do not take action to prevent the spread of the virus. One of the most important practices in these outbreaks is to ensure a safe distance between people in public. This paper presents the detection of people with social distance monitoring as a precautionary measure in reducing physical contact between people. This study focuses on detecting people in areas of interest using object tracking and OpenCV library for image processing. The distance will be computed between the persons detected in the captured footage and then compared to a fixed pixels' values. The distance is measured between the central points and the overlapping boundary between persons in the segmented tracking area. With the detection of unsafe distances between people, alerts or warnings can be issued to keep the distance safe. In addition to social distance measure, another key feature of the system is detecting the presence of people in restricted areas, which can also be used to trigger warnings. 

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Shape Detection and Recognition Using Image Processing Matlab Project Source Code

         

 ABSTRACT

               Doing image processing and especially blob analysis it is often required to check some objects' shape and depending on it perform further processing of a particular object or not. For example, some applications may require finding only circles from all the detected objects, or quadrilaterals, rectangles, etc. Human vision seems to make use of many sources of information to detect and recognize an object in a scene. At the lowest level of object recognition, researchers agree that edge and region information are utilized to extract a “perceptual unit” in the scene. Some of the possible invariant features are recognized and additional signal properties (texture or appearance) are sent to help in making the decision as to whether a point belongs to an object or not. In many cases, boundary shape information, such as the rectangular shapes of vehicles in aerial imagery, seems to play a crucial role. Local features such as the eyes in a human face are sometimes useful. These features provide strong clues for recognition, and often they are invariant to many scene variables. The study of shapes is a recurring theme in computer vision. For example, shape is one of the main sources of information that can be used for object recognition. In medical image analysis, geometrical models of anatomical structures play an important role in automatic tissue segmentation. The shape of an organ can also be used to diagnose diseases. In a completely different setting, shape plays an important role in the perception of optical illusions (we tend to see particular shapes) and this can be used to explain how our visual system interprets the ambiguous and incomplete information available in an image. Characterizing the shape of a specific rigid object is not a particularly hard problem, although using the shape information to solve perceptual tasks is not easy.

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Real Time Face Recognition Using Python Project Source Code

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 ABSTRACT

             The subject of face recognition is as old as computer vision because of the practical importance of the topic and theoretical interest from cognitive scientists. Despite the fact that other methods of identification (such as fingerprints, or iris scans) can be more accurate, face recognition has always remains a major focus of research because of its noninvasive nature and because it is people's primary method of person identification. This Project is about real time face recognition from camera Using Python. In computer literature face detection has been one of the most studied topics. Given an arbitrary image, the goal of this project is to determine real time face recognition. While this appears to be a trivial task for human beings, it is very challenging task for computers. The difficulty associated with face detection can be attributed to many variations in scale, location, view point, illumination, occlusions, etc. Although there have been hundreds of reports reported approaches for face detection, if one were asked to name a single face detection algorithm that has most impact in recent decades, it will most likely be the face detection, which is capable of processing images extremely rapidly and achieve high detection rates.

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Prof. Roshan P. Helonde
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Python Code for Barcode Recognition using Image Processing Final Year Project

              

 ABSTRACT

            Barcodes are the symbols which represents the products information which is present at the backside of the product of a company. Barcodes are the thick and thin lines which are parallel to each other and it is in the form of rectangle shape. Barcodes are easy way to enter the information of the product than the manual methods. Its speed and reliability improves many operations like forwarding, packing, reception, and manufacturing. Barcodes can be found in the libraries (in the backside of book), factories, blood banks, supermarkets etc. Barcodes are the efficient way to encoding the machine readable information on most books and products. The barcode reading system is based on image processing, providing more information than laser barcode readers at a time. So, it’s started gaining more importance than laser barcode readers. In this project, we are adopting some type of barcode algorithms which segmenting the barcode patterns from images. In this project, we are going to adopt the effective barcode algorithm for various types of images.

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Handwritten Digit Recognition using Python Project Source code

              

 ABSTRACT

           Handwriting recognition is one of the compelling research works going on because every individual in this world has their own style of writing. It is the capability of the computer to identify and understand handwritten digits automatically. Because of the progress in the field of science and technology, everything is being digitalised to reduce human effort. Hence, there comes a need for handwritten digit recognition in many real-time applications. Many Machine Learning and Deep Learning Algorithms are developed which can be used for this digit classification. This project performs Digit Recognition and the analysis of accuracy of algorithms Deep Learning Algorithm.

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Prof. Roshan P. Helonde
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Employee Attendance Monitoring from Face Recognition Using Python OpenCV Source Code

              

 ABSTRACT

        Preserving the attendance is very crucial in all the institutes for checking the overall performance of students. Each institute has its very own method in this regard. A few are taking attendance manually using the old paper or document based approach and some have adopted techniques of automated attendance the use of few biometric techniques. There are many computerised methods to be had for this reason i.e. biometric attendance. All these methods additionally waste time due to the fact that college students or employees have to make a queue to contact their thumb on the scanning device. This gadget makes use of the face recognition approach for the computerised attendance of students in the study room environment without lectures intervention or the employee .This attendance is recorded with the aid of usage of a digital camera connected in the study room or the working environment i.e. constantly shooting photos of students or employees, discover the faces in pix and examine the detected faces with the database and mark the attendance.

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Prof. Roshan P. Helonde
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Audio Steganography Using Python Source Code - Data Hiding In Audio Python Project Code

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ABSTRACT 
              Steganography is one of the best data hiding technique in the world which can be used to hide data without its presence felt. In today’s digital world most of us communicate via use of electronic media or internet. Most people among us remain unaware about the data loss or data theft which can happen on online transmission of data or message. Valuable information including personal data, messages transmitted through internet is vulnerable to hackers who may steal or decrypt our data or messages. This poject is about enhancing the data or message security with use of Audio Steganography using LSB algorithm to hide the message into multiple audio files. The message hidden by this application is less vulnerable to be stolen than other similar applications. This is due to following reasons: Firstly files are taken to hide high amount of message which enhance information hiding capacity. Secondly before being hidden, the message is broken into parts and shuffled randomly based on permutation generated at runtime so even if the LSB gets encountered the message is still unarranged and meaningless which enhances its security. This application is capable to carry large amount of information with greater security. 

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Prof. Roshan P. Helonde
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Email: roshanphelonde@rediffmail.com
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Matlab Code for Liver Cancer Detection Using Image Processing Full Project Source Code

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  ABSTRACT

        Liver cancer is one of the most severe types ofcancerous diseases which is responsible for the death of many patients. Liver cancer images have more noises which is difficult to diagnose the level of the tumor. It is a challenging task to automatically identify the tumor from images because of several anatomical changes in different patients. The cancer is difficult to find because of the presence of objects with same intensity level. In this proposed system, fully automated machine learning is used to detect the liver tumor from input image. Region growing technique is used to segment the region of interest. The textural feature are extracted from Gray level co-occurrence matrix (GLCM) of the segmented image. Extracted textural features are given as input to the designed support vector machine classifier system. Performance analysis of SVM classification of liver cancer image is studied. This will be useful for physician in better automatic diagnosis of liver cancer from input images.

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Prof. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Data Encryption Decryption using RSA Algorithm Python Project Source Code

           ,    

 ABSTRACT

            Message security is an utmost concern in the web attacks are become more serious. The Message  encryption and decryption has applications in internet communication, military communication, medical imaging, multimedia systems, tele-medicine, etc. To make the data secure from various attacks the data must be encrypted before it is transmitting. Absolute protection is a difficult issue to maintain the confidentiality of Message through their transmission over open channels such as internet or networks and is a major concern in the media, so Data Cryptography becomes an area of attraction and interest of research in the field of information security. The project offer proposed system that provides a special kinds of image Encryption data security, Cryptography using RSA algorithm for encrypted Message to extract using RSA algorithm. This approach provides high security and it will be suitable for secured transmission of data over the networks or Internet.

PROJECT OUTPUT 


PROJECT VIDEO

Contact:
Prof. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Python Code for Image Steganography for Hiding Message in Image Using Python Project

           ,    

 ABSTRACT

           Steganography is the process of hiding a secret message within a larger one in such a way that someone can not know the presence or contents of the hidden message. The purpose of Steganography is to maintain secret communication between two parties. Unlike cryptography, which conceals the contents of a secret message, steganography conceals the very fact that a message is communicated. In this project secret message is embedding in cover image while sending to receiver at extraction part secret message is extracted from cover image which is called as message hiding in image. Although steganography differs from cryptography, there are many analogies between the two, and some authors classify steganography as a form of cryptography since hidden communication is a type of secret message.

PROJECT OUTPUT


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Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Audio Watermarking Using Matlab Project Source Code Final Year Project

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 ABSTRACT

           Currently over the millions of digital audio files such as digital songs are copied illegally during file-sharing over the networks. It has resulted as the loss of revenue for music and broadcasting industries. The traditional protection schemes are no longer useful to protect copyright and ownership of multimedia objects. These challenges have prompted significant research in digital audio watermarking for protection and authentication. Watermarking is a technique, which is used in protecting digital information like text, images, videos and audio as it provides copyrights and ownership. The identity of the owner of the audio file can be hidden in the audio file which is called Watermark. Therefore, digital audio watermarking is the process of hiding some information into the audio file in such a way that the quality and the audibility of the audio is not affected. It helps to prevent forgery and impersonation of audio signal. Audio watermarking is more challenging than image watermarking due to the dynamic supremacy of hearing capacity over the visual field. This paper presents a novel audio watermarking using wavelet transformation. The proposed method involves Embedding and extraction of audio signal using wavelet transformation. The audio signal which is in .Wave or Mp3 format undergoes segmentation, transformation and embedding the watermarked data and at the last inverse transformation will be carried out. We attempt to develop an efficient method for hiding the information in the audio file such that the copyright information will be protected from illegal copying of the information

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Mr. Roshan P. Helonde
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Image Steganography Using LSB Algorithm In Python Source Code - Data Hide in Image Using Python Project Code

           ,    

 ABSTRACT

           Steganography is the process of hiding a secret message within a larger one in such a way that someone can not know the presence or contents of the hidden message. The purpose of Steganography is to maintain secret communication between two parties. Unlike cryptography, which conceals the contents of a secret message, steganography conceals the very fact that a message is communicated. In this project secret message is embedding in cover image while sending to receiver at extraction part secret message is extracted from cover image which is called as message hiding in image. Although steganography differs from cryptography, there are many analogies between the two, and some authors classify steganography as a form of cryptography since hidden communication is a type of secret message.

PROJECT OUTPUT


PROJECT VIDEO

Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Liver Tumor Detection Using Matlab Project Source Code IEEE Based Projects

           ,    

  ABSTRACT

        Liver tumor is one of the most severe types of cancerous diseases which is responsible for the death of many patients. Liver tumor images have more noises which is difficult to diagnose the level of the tumor. It is a challenging task to automatically identify the tumor from images because of several anatomical changes in different patients. The tumor is difficult to find because of the presence of objects with same intensity level. In this proposed system, fully automated machine learning is used to detect the liver tumor from input image. Region growing technique is used to segment the region of interest. The textural feature are extracted from Gray level co-occurrence matrix (GLCM) of the segmented image. Extracted textural features are given as input to the designed SVM classifier system. Performance analysis of SVM classification of liver tumor image is studied. This will be useful for physician in better automatic diagnosis of liver tumor from input images.

PROJECT OUTPUT


PROJECT VIDEO

Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Python Project On Face Mask Detection Using Deep Learning Full Source Code

              

 ABSTRACT

                 Recognition from faces is a popular and significant technology in recent years. Face alterations and the presence of different masks make it too much challenging. In the real-world, when a person is uncooperative with the systems such as in video surveillance then masking is further common scenarios. For these masks, current face recognition performance degrades. An abundant number of researches work has been performed for recognizing faces under different conditions like changing pose or illumination, degraded images, etc. Still, difficulties created by masks are usually disregarded. The primary concern to this work is about facial masks, and especially to enhance the recognition accuracy of different masked faces. A feasible approach has been proposed that consists of first detecting the facial regions and then face mask. In this project we implement Real Time Face Mask Detection Using Deep Learning.

PROJECT OUTPUT


PROJECT VIDEO

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Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Image Steganography Using Python Project Source Code - Message Hide in Image Using Python Project

           ,    

 ABSTRACT

           Steganography is the process of hiding a secret message within a larger one in such a way that someone can not know the presence or contents of the hidden message. The purpose of Steganography is to maintain secret communication between two parties. Unlike cryptography, which conceals the contents of a secret message, steganography conceals the very fact that a message is communicated. In this project secret message is embedding in cover image while sending to receiver at extraction part secret message is extracted from cover image which is called as message hiding in image. Although steganography differs from cryptography, there are many analogies between the two, and some authors classify steganography as a form of cryptography since hidden communication is a type of secret message.

PROJECT OUTPUT


PROJECT VIDEO

Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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COVID-19 Face Mask Detection Using Camera Python Project Source Code - Real Time Face Mask Detection Using Deep Learning

              

 ABSTRACT

                       Recognition from faces is a popular and significant technology in recent years. Face alterations and the presence of different masks make it too much challenging. In the real-world, when a person is uncooperative with the systems such as in video surveillance then masking is further common scenarios. For these masks, current face recognition performance degrades. An abundant number of researches work has been performed for recognizing faces under different conditions like changing pose or illumination, degraded images, etc. Still, difficulties created by masks are usually disregarded. The primary concern to this work is about facial masks, and especially to enhance the recognition accuracy of different masked faces. A feasible approach has been proposed that consists of first detecting the facial regions and then face mask. In this project we implement Real Time Face Mask Detection Using Deep Learning.

PROJECT OUTPUT


PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Types of Breast Cancer Detection Using Matlab Project Source Code

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 ABSTRACT

            Cancer is the second cause of death in the world. 8.8 million patients died due to cancer in 2015. Breast cancer is the leading cause of death among women. Several types of research have been done on early detection of breast cancer to start treatment and increase the chance of survival. Most of the studies concentrated on mammogram images. However, mammogram images sometimes have a risk of false detection that may endanger the patient’s health. It is vital to find alternative methods which are easier to implement and work with different data sets, cheaper and safer, that can produce a more reliable prediction. This project we proposes a model of Machine Learning (ML) algorithms including Support Vector Machine (SVM). Here it also detect types of Breast Cancer in different categories like NORM=Normal, CALC=Calcification, CIRC=Circumscribed Masses, SPIC=Speculated Masses, MISC=ill-defined Masses, ARCH=Architectural Distortion, ASYM=Asymmetry.

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Mr. Roshan P. Helonde
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Matlab Project on Fruit Disease Detection Using Neural Network Image Processing Project Source Code

         

 ABSTRACT

            Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide. In this paper, a solution for the detection and classification of fruit diseases is proposed and experimentally validated. The image processing based proposed approach is composed of the following steps; in the first step K-Means clustering technique is used for the image segmentation, in the second step some features are extracted from the segmented image, and finally images are classified into one of the classes by using Neural Network. Our experimental results express that the proposed solution can significantly support accurate detection and automatic classification of fruit diseases.

             Fruit diseases can cause significant losses in yield and quality appeared in harvesting. For example, soybean rust (a fungal disease in soybeans) has caused a significant economic loss and just by removing 20% of the infection, the farmers may benefit with an approximately 11 million-dollar profit (Roberts et al., 2006). Some fruit diseases also infect other areas of the tree causing diseases of twigs, leaves and branches. An early detection of fruit diseases can aid in decreasing such losses and can stop further spread of diseases. A lot of work has been done to automate the visual inspection of the fruits by machine vision with respect to size and color. However, detection of defects in the fruits using images is still problematic due to the natural variability of skin color in different types of fruits, high variance of defect types, and presence of stem/calyx. To know what control factors to consider next year to overcome similar losses, it is of great significance to analyze what is being observed.

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Mr. Roshan P. Helonde
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RSA Encryption Decryption of Message using Python Source Code - Encryption Using RSA Algorithm

           ,    

 ABSTRACT

            Message security is an utmost concern in the web attacks are become more serious. The Message  encryption and decryption has applications in internet communication, military communication, medical imaging, multimedia systems, tele-medicine, etc. To make the data secure from various attacks the data must be encrypted before it is transmitting. Absolute protection is a difficult issue to maintain the confidentiality of Message through their transmission over open channels such as internet or networks and is a major concern in the media, so Data Cryptography becomes an area of attraction and interest of research in the field of information security. The project offer proposed system that provides a special kinds of image Encryption data security, Cryptography using RSA algorithm for encrypted Message to extract using RSA algorithm. This approach provides high security and it will be suitable for secured transmission of data over the networks or Internet.

PROJECT OUTPUT 


PROJECT VIDEO
Contact:
Prof. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Encryption & Decryption Using DES Algorithm Matlab Project Source Code - Cryptography Using DES Algorithm

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 ABSTRACT

            The data encryption standard is also known as DES. DES has been the most extensively used encryption algorithm standard in recent times. Encryption and decryption comprise of cryptography. Cryptography terminology is used in the data encryption standard along with standard algorithm to hide the original text. DES applies the cipher algorithm to each data block. Data encryption is being used to hide the true meaning of data so that it is very hard to attack or crack. This project deals with the simulation and synthesis results of implemented DES algorithm. Analysis of implementation is shown in step by step process. A test case is analyzed step by step to check the results at each step of the algorithm.

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Prof. Roshan P. Helonde

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Liver Cancer Detection Using Image Processing Matlab Project Source Code

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 ABSTRACT

        Liver cancer is one of the most severe types ofcancerous diseases which is responsible for the death of many patients. Liver cancer images have more noises which is difficult to diagnose the level of the tumor. It is a challenging task to automatically identify the tumor from images because of several anatomical changes in different patients. The cancer is difficult to find because of the presence of objects with same intensity level. In this proposed system, fully automated machine learning is used to detect the liver tumor from input image. Region growing technique is used to segment the region of interest. The textural feature are extracted from Gray level co-occurrence matrix (GLCM) of the segmented image. Extracted textural features are given as input to the designed SVM classifier system. Performance analysis of SVM classification of liver cancer image is studied. This will be useful for physician in better automatic diagnosis of liver caner from input images.

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Prof. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Types of Breast Cancer Detection Using Matlab Source Code

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 ABSTRACT

            Cancer is the second cause of death in the world. 8.8 million patients died due to cancer in 2015. Breast cancer is the leading cause of death among women. Several types of research have been done on early detection of breast cancer to start treatment and increase the chance of survival. Most of the studies concentrated on mammogram images. However, mammogram images sometimes have a risk of false detection that may endanger the patient’s health. It is vital to find alternative methods which are easier to implement and work with different data sets, cheaper and safer, that can produce a more reliable prediction. This project we proposes a model of Machine Learning (ML) algorithms including Support Vector Machine (SVM). Here it also detect types of Breast Cancer in different categories like NORM=Normal, CALC=Calcification, CIRC=Circumscribed Masses, SPIC=Speculated Masses, MISC=ill-defined Masses, ARCH=Architectural Distortion, ASYM=Asymmetry.

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Prof. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
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Encryption Using RSA Algorithm - Cryptography Using RSA Algorithm Matlab Project Source Code

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ABSTRACT

            Image security is an utmost concern in the web attacks are become more serious. The Image encryption and decryption has applications in internet communication, military communication, medical imaging, multimedia systems, tele-medicine, etc. To make the data secure from various attacks the data must be encrypted before it is transmitting. Absolute protection is a difficult issue to maintain the confidentiality of images through their transmission over open channels such as internet or networks and is a major concern in the media, so image Cryptography becomes an area of attraction and interest of research in the field of information security. The project offer proposed system that provides a special kinds of image Encryption image security, Cryptography using RSA algorithm for encrypted images to extract using RSA algorithm. This approach provides high security and it will be suitable for secured transmission of images over the networks or Internet.

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Prof. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Steganography using DCT (Hide Text Message in Cover Image) Matlab Project Source Code

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ABSTRACT

            Steganography is the science and art of secret communication between two sides that attempt to hide the content of the message. It is the science of embedding information into the cover image without causing a loss in the cover image after embedding. Steganography is the art and technology of writing hidden messages in such a manner that no person, apart from the sender and supposed recipient, suspects the lifestyles of the message. It is gaining huge attention these days as it does now not attract attention to its information's existence. In this project the secret message is encrypted first then DCT technique is applied. Moreover, Discrete Cosine Transform (DCT) is used to transform the image into the frequency domain.  DCT algorithm is implemented in frequency domain in which the stego-image is transformed from spatial domain to the frequency domain and the payload bits are inserted into the frequency components of the cover image

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Steganography using DCT Matlab Code

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Prof. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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Prof. Roshan P. Helonde
Mobile: +917276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com

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