A single scale retinex based method for palm vein extraction
Palm vein recognition is a novel biometric identification technology.But how to gain a better vein extraction result from the raw palm image is still a challenging problem,especially when the raw data collection has the problem of asymmetric illumination.This paper proposes a method based on single scale Retinex algorithm to extract palm vein image when strong shadow presents due to asymmetric illumination and uneven geometry of the palm.We test our method on a multispectral palm image.The experimental result shows that the proposed method is robust to the influence of illumination angle and shadow.Compared to the traditional extraction methods,the proposed method can obtain palm vein lines with better visualization performance (the contrast ratio increases by 18.4%,entropy increases by 1.07%,and definition increases by 18.8%).
palm veint multispectral image Retinex
Chongyang WANG Ming PENG Lingfeng XU Tong CHEN
School of Electronic and Information Engineering Southwest University Chongqing,China;Chongqing Key Laboratory of Nonlinear Circuit and Intelligent Information Processing Southwest University Chongqing,China
国际会议
重庆
英文
75-78
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）