American Sign Language interpreter system for deaf and dumb individuals

Abstract

The proposed scheme recognizes and interprets American Sign Language symbols that have static gestures. The system provides an opportunity for deaf and dumb individuals to communicate and learn using computers. American Sign Language is a widely used and accepted standard for communication by people with hearing and speaking impairments. The proposed system recognizes and translates static hand gesture of alphabets in AS L into textual output. This text can further be converted into speech. The user of the system is free from data acquisition devices. The concepts of Principal Component Analysis (PCA) are used on the static gesture images of the AS L alphabet. The PCA features extracted from the image are used to classify the image into one of the AS L alphabet. The recognition of AS L gestures results in a textual output and is then can be converted into speech. Thus, the scheme helps the hearing and speech impaired to talk using computers.