A Static Hand Gesture and Face Recognition System for Blind People

This paper presents a recognition system, which can be helpful for a blind person. In the Hand gesture system Skin color detection has been done in Ycbcr color space and to discover hand convex defect character point of hand is used where different features like fingertips, angle between fingers are being extracted. 

While in face recognition, Haar Cascade Classifiers and LBPH recognizer are being used for face detection and recognition respectively. Various hand gestures and human faces have been detected and identified using this system. The hand gesture was recognized with an accuracy of 95.2% was achieved and facial recognition was done with an accuracy of 92%.