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A Methodology for Sign Language Video Analysis and Translation into Text in Hindi Language
Abstract
Sign language based communication is basically essential by consistently changing distinctive hand shapes and development by a signer. The proposed framework going to recognize the sign of gesture-based communication from a video stream of the signer and deciphers into relating words and sentences in Hindi. The proposed framework utilizes the image preparing strategies and synthetic intelligence procedures to get the target. To do the proposed task execution it utilizes picture handling strategies, for example, frame differencing based tracking, edge recognition, wavelet change, picture combination systems to area shapes in our videos. It moreover utilizes descriptors of elliptical Fourier for feature extraction of shape and also uses analysis for the purpose of feature set reduction as well as optimization. Extracted features are stored into the database and compared with given input video of the signer by a trained unclear inference system
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References
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Rachana Palaskar, Shweta Pandey, Ashwini Telang, Akshada Wagh, Ramesh Kagalkar,“ An Automatic Monitoring and Swing the Baby Cradle for Infant Care”, International Journal of Advanced Research in Computer and Communication Engineering,Vol. 4, Issue 12, December 2015.
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Ramesh Kagalkar and Dr. Nagaraja H.N “New Methodology for Translation of Static Sign Symbol to Words in Kannada Language”,” International Journal of Computer Applications Volume 121, Page No 26-30,July-2015
Ramesh M. Kagalkar, Dr. Nagaraj H.N and Dr. S.V Gumaste, ”A Novel Technical Approach for Implementing Static Hand Gesture Recognition”, International Journal of Advanced Research in Computer and Communication Engineering ISSN (Online) 2278-1021 ISSN (Print) 2319-5940 Vol. 4, Issue 7, July 2015.
Amit kumar and Ramesh Kagalkar “ Advanced Marathi Sign Language Recognition using Computer Vision” , International Journal of Computer Applications (0975 – 8887) Volume 118 – No. 13, May 2015.
Amit kumar and Ramesh Kagalkar “Sign Language Recognition for Deaf User”, Internal Journal for Research in Applied Science and Engineering Technology, Volume 2 Issue XII, December 2014.
Amit kumar and Ramesh Kagalkar “Methodology for Translation of Sign Language into Textual Version in Marathi”, CiiT, International Journal of Digital Image Processing, Volume 07, No.08 , Aug 2015.
Ramesh. M. Kagalkar and Dr. S. V. Gumaste “Automatic Graph Based Clustering for Image Searching and Retrieval from Database”, CiiT Software Engineering and Technology, Vol 8, No 2, 2016.
Ramesh. M. Kagalkar and Dr. S. V. Gumaste “Review Paper: Detail Study for Sign Language Recognition Techniques”, CiiT Digital Image Processing, Vol 8, No 3, 2016.
Swati Sargule, Ramesh M Kagalkar”Hindi Language Document Summarization using Context Based Indexing Model”, CiiT International Journal of Data Mining Knowledge Engineering, Vol.08 No. 01, Jan Issue 2016.
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