Research on Pretreatment Algorithm of Hand Vein Image
YANG Xiao-peng1a, CAI Chao-feng2, PAN Heng1b, ZHAO Yu-xia1a
1. a. Department of Medical Equipment, b. Department of Information, The First Affiliated Hospital of Zhengzhou University, Zhengzhou Henan 450052, China; 2. College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou Henan 450002, China
Abstract：As an innovative authentication way, the hand vein recognition technology is provided with great realistic significance and market potential. Minutiae of hand vein skeleton are usually employed in personal identification recognition. To extract the minutiae of hand vein skeleton accurately, the effective area of hand vein image was extracted firstly and then normalized. Next, the partially overlapped sub-block histogram equalization (POSHE) was employed to enhance the contrast of the image followed by noise reduction. At last, the NiBlack algorithm was employed to segment the image and the Hilditch algorithm was employed to fine treatment to obtain the hand vein skeleton.
杨晓鹏，蔡超峰，潘珩，赵玉霞. 手背静脉图像预处理算法研究[J]. 中国医疗设备, 2013, 28(10): 20-23.
YANG Xiao-peng, CAI Chao-feng, PAN Heng, ZHAO Yu-xia. Research on Pretreatment Algorithm of Hand Vein Image. China Medical Devices, 2013, 28(10): 20-23.
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