Abstract-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%.
Even though many techniques have been developed in this field, very few works have been done in recognition of Indian Sign Language. REF Proposed a system for recognizing ISL gestures using Eigen value weighted Euclidean distance as a classification technique.
Indian Sign Language Recognition Using Eigen Value Weighted Euclidean Distance Based Classification Technique
ArXiv
ArXiv
Computer Science