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

Tuo Han; Zhiyong Wang; Xiaoping Yang

doi:10.1117/12.2246060

31 October 2016 Dorsal hand vein recognition based on Gabor multi-orientation fusion and multi-scale HOG features

Tuo Han, Zhiyong Wang, Xiaoping Yang

Proceedings Volume 10024, Optics in Health Care and Biomedical Optics VII; 1002438 (2016) https://doi.org/10.1117/12.2246060
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

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.

Citation Download Citation

Tuo Han, Zhiyong Wang, and Xiaoping Yang "Dorsal hand vein recognition based on Gabor multi-orientation fusion and multi-scale HOG features", Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 1002438 (31 October 2016); https://doi.org/10.1117/12.2246060

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available