USING SYSTEMATIC DATA FLOW WITH HELP OF HAND GESTURE BASED DIGIT RECOGNITION

Recognition of static hand gestures in our daily plays an important role in human-computer interaction. Hand gesture recognition has been a challenging task now days so a lot of research topic has been going on due to its increased demands in human computer interaction. Since Hand gestures have been the most natural communication medium among human being, so this facilitate efficient human computer interaction in many electronics gazettes . This has led us to take up this task of hand gesture recognition. In this paper different hand gestures are recognized and no of fingers are counted. Recognition process INVOLVES steps like feature extraction, features reduction and classification. To make the recognition process robust against varying illumination we used lighting compensation method along with YCbCr model.