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International Journal of Nonlinear Analysis and Applications، جلد ۱۲، شماره Special Issue، صفحات ۹۵۱-۹۵۸
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عنوان انگلیسی Hand vein recognition with rotation feature matching based on fuzzy algorithm
چکیده انگلیسی مقاله The Bodily motion or emotion, which can be obtained for example from a hand or a face, originates gestures. Every individual has a unique pattern of dorsal hand veins. The vein pattern's orientation changes when one rotates their hand in a particular direction. This study focused on hand-gesture recognition using dorsal hand veins. The aim of this work is a novel technique to track and recognizing hand vein rotation using fuzzy neural network, and the change in orientation was considered as a gesture and measured. The algorithms were tested over various rotations ranging from $-45^{circ}$ to $+45^{circ}$. We successfully detected various rotations in both clockwise and anti-clockwise directions, achieving $93%$ accuracy and a reasonable time execution. This problem can be solved because a person can steer a car wheel merely by rotating his/her hand. An infrared camera captured the rotation of hand veins, so car wheel steering was unnecessary.
کلیدواژه‌های انگلیسی مقاله Complex Walsh transform, Dorsal hand vein pattern, feature extraction, Fuzzy neural network, Sectorization
نویسندگان مقاله Haitham S Hasan |
Business Information Technology Department, Business Informatics College, University of Information Technology and Communications, Baghdad, Iraq.

Mais A Al-Sharqi |
Bioinformatics Department, BioMedical Informatics College, University of Information Technology and Communications, Baghdad, Iraq.

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_5536_da8160246350abb864887ab762295722.pdf
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