期刊名称：Inteligencia Artificial : Ibero-American Journal of Artificial Intelligence
印刷版ISSN：1137-3601
电子版ISSN：1988-3064
出版年度：2019
卷号：22
期号：63
页码：101-120
DOI：10.4114/intartif.vol22iss63pp101-120
出版社：Spanish Association for Intelligence Artificial
摘要：This paper describes in detail different hand vein recognition methods based on Wavelet-SVM, Wavelet-ANN and Image Registration. A new image segmentation and processing algorithm is proposed to efficiently locate vein regions and suitable for feature extraction (wavelet coefficients and normalized vein imagens) and classification (SVM, ANN and Image Registration). For real time recognition and high recognition rate, we proposed an integrated system which combines three above mentioned classification methods. The simulation results reveal that the proposed integrated system achieves 1% false rejection rate (FRR) and 0.02% false acceptance rate.
关键词：Human gestures recognition; convolutional neural networks; Microsoft Kinect; MSRC-12 dataset; Mobile robot.
