NEW METHOD FOR HAND GESTURE RECOGNITION USING WAVELET NEURAL NETWORK
Keywords:
wavelet, multi-wavelet, neural networksAbstract
This paper present a method for hand gesture recognition through Statistic hand gesture which is namely, a subset of American Sign Language (ASL). The proposed technique presents an image of hand gesture by passing it through four stages, preprocessing, normalization, feature extraction, and classification. The wavelet neural network is used to build information models because it can handle very complex interactions. The practical system is simulated using MATLAB. The performance of suggested method is excellent compared with traditional approaches and the final results of selected patterns recognition are powerful.
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2017-01-01
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This work is licensed under a Creative Commons Attribution 4.0 International License.
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How to Cite
Raheem Rashed, J. ., & Abbas Hasan, H. . (2017). NEW METHOD FOR HAND GESTURE RECOGNITION USING WAVELET NEURAL NETWORK. Journal of Engineering and Sustainable Development, 21(1), 65-73. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/501
