Dorsal hand vein recognition system based on maximum circular region of interest

被引：0
作者：
Liu F. [1 ]
Jiang S.-K. [1 ]
Kang B. [1 ]
Hou T. [1 ]
机构：
[1] College of Communication Engineering, Jilin University, Changchun
来源：
Hou, Tao (ht_happy@jlu.edu.cn) | 1600年 / Editorial Board of Jilin University卷 / 50期
关键词：
Dorsal hand vein recognition; Hand vein database; Information processing technology; Maximum inscribed circle; Region of interest extraction;
D O I：
10.13229/j.cnki.jdxbgxb20190777
中图分类号：
学科分类号：
摘要：
Region of Interest (ROI) extraction is a critical step in dorsal hand vein recognition, which directly affects the performance of recognition system. However, the existing circular positioning algorithms are time-consuming and low rotation invariance. To overcome these problems, we proposed a dorsal hand vein recognition system based on maximum inscribed circular ROI. The system extracted ROI using Delaunay triangulation algorithm to reduce time complexity and locate the little thumb point to improve rotation invariance. 3680 hand vein images were collected to verify the validity of the proposed system. Experimental results demonstrate that the system is effective and the mean extraction time is 6.1 ms, the mean recognition rate reaches 98.26%. © 2020, Jilin University Press. All right reserved.
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页码：2191 / 2196
页数：5
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