ABSTRACT
Sign language is the basic communication method for those who suffer from hearing impairment. The primary component of a sign language is hand gestures. Gesturing is an instinctive way of communication to present a specific meaning. Sign language is the visual manual modality to convey meaning which is quite similar to the hand gestures. Language is expressed via the manual sign-stream in combination with non-manual elements. Sign languages are full-fledged natural languages with their own grammar and lexicon. Gesture is a distinct form of sign language which involves movement of body such as hands or face to express the meaning. Hand gesture has received a greater importance over the last few years because to remove the barrier of communication between mute people and normal people. It is an object consists of distinct features to extract and recognise the gestures or signs exactly, therefore gesture recognition presents a most difficult and challenging tasks in the fields of image processing, computer vision and image analysis. The images are subjected to image processing steps. In order to achieve a better accuracy the image processing and machine learning techniques are used.
PROJECT OUTPUT
PROJECT OUTPUT
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +91-7276355704
Email: roshanphelonde@rediffmail.com
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