Boltay Hath for Indian Sign Language Recognition
نویسندگان
چکیده
منابع مشابه
A Review on Indian Sign Language Recognition
Automatic Sign Language Recognition is an extensive research area in the field of human computer interaction. Such recognition systems are meant to replace sign language interpreters. With the development of image processing and artificial intelligence techniques, many techniques have been recently developed in this area. Most of the signs in Indian Sign Language (ISL) are double handed and hen...
متن کاملSpatial Relationship Based Features for Indian Sign Language Recognition
— In this paper, the task of recognizing signs made by hearing impaired people at sentence level has been addressed. A novel method of extracting spatial features to capture hand movements of a signer has been proposed. Frames of a given video of a sign are preprocessed to extract face and hand components of a signer. The local centroids of the extracted components along with the global centroi...
متن کاملSegmentation, Tracking And Feature Extraction For Indian Sign Language Recognition
Sign Language is a means of communication between audibly challenged people. To provide an interface between the audibly challenged community and the rest of the world we need Sign Language translators. A sign language recognition system computerizes the work of a sign language translator. Every Sign Language Recognition (SLR) System is trained to recognize specific sets of signs and they corre...
متن کاملAn Automated System for Indian Sign Language Recognition
Sign Language is a non-verbal communication mode which is used by the people with hearing disabilities, who cannot use voice sounds for communication. Instead, they need signs or actions to express themselves. Normal people are usually unaware of these signs. Therefore, the need of a computer based intelligent system is highly demanding for the dumb community that will enable them significantly...
متن کاملA Vision-Based Approach for Indian Sign Language Recognition
The sign language is the essential communication method between the deaf and dumb people. In this paper, the authors present a vision based approach which efficiently recognize the signs of Indian Sign Language (ISL) and translate the accurate meaning of those recognized signs. A new feature vector is computed by fusing Hu invariant moment and structural shape descriptor to recognize sign. A mu...
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ژورنال
عنوان ژورنال: International Journal of Applied Information Systems
سال: 2014
ISSN: 2249-0868
DOI: 10.5120/ijais14-451103