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Real Time Static Hand Gesture Recognition System in Simple Background for Devanagari Number System

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Author(s): Jayshree R. Pansare | Sandip Kadam | Onkar Dhawade | Pradeep Chauhan

Journal: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
ISSN 2278-1323

Volume: 2;
Issue: 3;
Start page: 938;
Date: 2013;
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Keywords: DSL | Discrete Cosine Transform | Edge Oriented Histogram | Hand gesture | Human-Computer interaction

ABSTRACT
Hand gesture recognition is one of the key techniques in developing user-friendly interfaces for human-computer interaction. Static hand gestures are the most essential facets of gesture recognition. User independence is among the important requirements for realizing a real time gesture recognition system in human-computer interaction. Applications of hand gesture recognition range from teleported control to hand diagnostic and rehabilitation or to speaking aids for the deaf. In today’s era of communication, sign language is one of the major tools of communication for physically challenged people. This paper proposes a system of hand gesture recognition for Devanagari Sign Language (DSL) Number System with comparison of feature extraction techniques, Discrete Cosine Transform (DCT) & Edge Oriented Histogram (EOH).
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