SIGN LANGUAGE RECOGNITION

SIGN LANGUAGE RECOGNITION

SANDU PRAVALIKA

DARGAI ANKITHA

Under the guidance of Mrs. D. Sriveni

Sreenidhi Institute of Science and Technology

ABSTRACT

Sign Language is one of the ways to establish communication with deaf people. One should have knowledge of sign language to interact with them. The process of learning sign language is difficult because there are very few study materials available for sign learning and it is a difficult task. The initial stage of sign learning is Finger spelled sign learning and moreover, are used when no corresponding sign exists or signer is not aware of it. Most of the existing tools for sign language learning use external sensors which are costly. Our project aims at extending a step forward in this field by collecting a dataset and then use various feature extraction techniques to extract useful information which is then input into various supervised learning techniques. Currently, we have reported fourfold cross validated results for the different approaches, and the difference from the previous work done can be attributed to the fact that in our fourfold cross validation, the validation set Correspond to images of a person different from the persons in the training set.