Real Time Static Hand Gesture Recognition System in Complex Background that uses Number system of Indian Sign Language
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 3
Abstract
Hand gestures are powerful means of communication among humans and sign language is the most natural and expressive way of communication for deaf and mute people. Communication between computers (or robot) and humans, just as we humans interact with one another has been the prime objective of human computer interaction (HCI) research. This paper describes a real-time system for human computer interaction through gesture recognition for Indian Sign Language (ISL). ISL number system includes nine characters which are considered for this paper. The work is divided into four stages- image pre-processing, region extraction, feature extraction, feature matching. First stage converts captured RGB colour space image YIQ space images, then using grey threshold to detect the skin colour. Second stage extracts hand region using blob for getting region of interest(ROI). In third stage, we extract the features of ROI; the system compares four feature extraction techniques. Finally comparison is done between the current and database images in fourth stage using Euclidian distance.
Authors and Affiliations
JayshreeR. Pansare , Hrushikesh Dhumal , Sanket Babar , Kiran Sonawale , Ajit Sarode,
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