Sign Langauge Recognition Framework Using Pattern Matching and Computer Vision : A Review

Computer Science and Engineering

Sign language is a specialty of passing our thoughts and feelings without using any vocal. Sign language sorts for SL is the principle correspondence implies for the people who cannot speak or hear. They impart their thoughts and feelings through a number of hand signals or can be a facial expressions. The right translation of SL is even more significant for effective communication, since the hard of hearing and unable to speak comprise almost more than 100 million of the total populace. The basic principle approaches for translation of SL are (I) picture based, where the hand gestures are analyzed and processed by computer and (ii) sensor based, where the sensors are attached to the hand of the person who cant speak or listen. The sensor can sense the motion and based on motion it translate the sign language. This paper reviews different picture or vision based sign language frameworks involving different feature extraction, and motion detection.

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