期刊名称:International Journal of Multidisciplinary Approach & Studies
电子版ISSN:2348-537X
出版年度:2015
期号:1201
页码:151-167
出版社:IJMAS
摘要: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. 24 signs were considered in this paper, each having 10 samples, thus a total of 240 images was considered for which recognition rate obtained was 97%.