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Abstract
Today world is running behind the computer industries and pattern recognition is one of the important and vast fields of computer intelligence. Gesture recognition is one of the applications of Pattern recognition and further hand gesture recognition; hand gesture recognition system can be used as an interface between human hand and computer. Our technique provides a human hand interface with computer which can recognize static gestures from American Sign Language. Since 24 gestures from American Sign Language (ASL) are static so, we was able to recognize them. Our objective is to develop a hand gesture recognition system which can recognize most of the static characters from ASL with a good accuracy which can only work offline and is mainly dependent on database.
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