Finger Vein Recognition Based on Local Directional Code

Sensors

Xianjing Meng²  Gongping Yang¹  Yilong Yin² 

[1] School of Computer Science and Technology, Shandong University, Jinan 250101, China;

关键词: finger vein recognition;    local directional code;    local line binary pattern;    local gradient orientation;    webber local descriptor;   

DOI  :  10.3390/s121114937

来源: mdpi

【 摘 要 】

Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are proposed, such as Local Binary Pattern (LBP), Local Derivative Pattern (LDP) and Local Line Binary Pattern (LLBP). However, the rich directional information hidden in the finger vein pattern has not been fully exploited by the existing local patterns. Inspired by the Webber Local Descriptor (WLD), this paper represents a new direction based local descriptor called Local Directional Code (LDC) and applies it to finger vein recognition. In LDC, the local gradient orientation information is coded as an octonary decimal number. Experimental results show that the proposed method using LDC achieves better performance than methods using LLBP.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.