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Proceedings Paper

Dorsal hand vein recognition based on Gabor multi-orientation fusion and multi-scale HOG features
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Paper Abstract

Kinds of factors such as illumination and hand gestures would reduce the accuracy of dorsal hand vein recognition. Aiming at single hand vein image with low contrast and simple structure, an algorithm combining Gabor multi-orientation features fusion with Multi-scale Histogram of Oriented Gradient (MS-HOG) is proposed in this paper. With this method, more features will be extracted to improve the recognition accuracy. Firstly, diagrams of multi-scale and multi-orientation are acquired using Gabor transformation, then the Gabor features of the same scale and multi-orientation will be fused, and the features of the correspondent fusion diagrams will be extracted with a HOG operator of a certain scale. Finally the multi-scale cascaded histograms will be obtained for hand vein recognition. The experimental results show that our method not only improve the recognition accuracy but has good robustness in dorsal hand vein recognition.

Paper Details

Date Published: 31 October 2016
PDF: 7 pages
Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 1002438 (31 October 2016); doi: 10.1117/12.2246060
Show Author Affiliations
Tuo Han, Tianjin Univ. of Technology (China)
Zhiyong Wang, Tianjin Univ. of Technology (China)
Xiaoping Yang, Tianjin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10024:
Optics in Health Care and Biomedical Optics VII
Qingming Luo; Xingde Li; Ying Gu; Yuguo Tang, Editor(s)

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