ABSTRACT
The fact that the signature is widely used as a means of personal identification tool for humans require that the need for an automatic verification system. Forgery can be performed either Offline or Online based on the application. However human signatures can be handled as an image and recognized using image processing. With modern computers, there is need to develop fast algorithms for forgery signature recognition. There are various approaches to forgery signature recognition with a lot of scope of research. Forgery signature recognition is a technology that can improve security in our day to day transaction held in society. This project presents a novel approach for offline forgery signature recognition. In this project forgery signature verification done using Image Processing is projected, where the signature is written on a paper are obtained using a scanner or a camera captured and presented in an image format. For authentication of signature, the proposed method is based on geometrical and statistical feature extraction and then the entire database. The extracted features of investigation forgery signature are compared with the previously trained features of the reference signature. This technique is suitable for various applications such as bank transactions, passports with good authentication results etc.
PROJECT OUTPUT
PROJECT VIDEO
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