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.
@article{arxiv.1303.0634,
title = {Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique},
author = {Joyeeta Singha and Karen Das},
journal= {arXiv preprint arXiv:1303.0634},
year = {2013}
}