Sign Language Recognition System
Journal: International Journal of Computational Engineering Research(IJCER) (Vol.03, No. 6)Publication Date: 2013-06-21
Authors : Er. Aditi Kalsh N.S. Garewal;
Page : 15-21
Keywords : Edge Detection; Human Computer Interface (HCI); Image Processing; kNN Search; Peak Detection; Sign Language Recognition System (SLRs);
Abstract
Communication is the process of exchanging information, views and expressions between two or more persons, in both verbal and non-verbal manner. Hand gestures are the non verbal method of communication used along with verbal communication. A more organized form of hand gesture communication is known as sign language. In this language each alphabet of the English vocabulary is assigned a sign. The physically disabled person like the deaf and the dumb uses this language to communicate with each other. The idea of this project is to design a system that can understand the sign language accurately so that the less fortunate people may communicate with the outside world without the need of an interpreter. By keeping in mind the fact that in normal cases every human being has the same hand shape with four fingers and one thumb, this project aims at designing a real time system for the recognition of some meaningful shapes made using hands.
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Last modified: 2013-06-21 13:51:43