Sensors 2012, 12(11), 14937-14952; doi:10.3390/s121114937

Finger Vein Recognition Based on Local Directional Code

School of Computer Science and Technology, Shandong University, Jinan 250101, China
* Author to whom correspondence should be addressed.
Received: 4 September 2012; in revised form: 23 October 2012 / Accepted: 29 October 2012 / Published: 5 November 2012
(This article belongs to the Section Physical Sensors)
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Abstract: 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 PatternĀ (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.
Keywords: finger vein recognition; local directional code; local line binary pattern; local gradient orientation; webber local descriptor

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MDPI and ACS Style

Meng, X.; Yang, G.; Yin, Y.; Xiao, R. Finger Vein Recognition Based on Local Directional Code. Sensors 2012, 12, 14937-14952.

AMA Style

Meng X, Yang G, Yin Y, Xiao R. Finger Vein Recognition Based on Local Directional Code. Sensors. 2012; 12(11):14937-14952.

Chicago/Turabian Style

Meng, Xianjing; Yang, Gongping; Yin, Yilong; Xiao, Rongyang. 2012. "Finger Vein Recognition Based on Local Directional Code." Sensors 12, no. 11: 14937-14952.

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