A Support System for Speech Impaired People using the Indian Sign Language
Pushpendra Kumar Tiwari, Sithara Kamalakkannan, S.V. Karthigaipriya, Logeshwari R "A Support System for Speech Impaired People using the Indian Sign Language", International Journal of Engineering Trends and Technology (IJETT), V46(7),363-366 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Sign Language Recognition is a rapidly growing field of research. Several techniques have been developed recently. In this paper, we propose a system that uses Support Vector Machine (SVM) with image feature extractionas a classification technique for the recognition of the Indian Sign Language. The system comprises of four parts: Image capture,Background Subtraction, Feature Extraction and Classification. 26 signs were considered in this paper, each having over 200 samples to train the data. An accuracy of 98% was achieved during testing.
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Indian sign language, Support Vector Machine, feature extraction, image classification.