  Sign Language Recognition is one of the most growing fields of research
today. Many new techniques have been developed recently in these fields. Here
in this paper, we have proposed a system using Eigen value weighted Euclidean
distance as a classification technique for recognition of various Sign
Languages of India. The system comprises of four parts: Skin Filtering, Hand
Cropping, Feature Extraction and Classification. Twenty four signs were
considered in this paper, each having ten samples, thus a total of two hundred
forty images was considered for which recognition rate obtained was 97 percent.
