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Information 2018, 9(9), 213;

A Systematic Review of Finger Vein Recognition Techniques

School of Computer Science and Technology, Shandong University, Jinan 250101, China
Shandong Province Water Conservancy Information Center, Jinan 250002, China
Author to whom correspondence should be addressed.
Received: 26 July 2018 / Revised: 14 August 2018 / Accepted: 14 August 2018 / Published: 24 August 2018
(This article belongs to the Section Artificial Intelligence)
PDF [1293 KB, uploaded 24 August 2018]


Biometric identification is the study of physiological and behavioral attributes of an individual to overcome security problems. Finger vein recognition is a biometric technique used to analyze finger vein patterns of persons for proper authentication. This paper presents a detailed review on finger vein recognition algorithms. Such tools include image acquisition, preprocessing, feature extraction and matching methods to extract and analyze object patterns. In addition, we list some novel findings after the critical comparative analysis of the highlighted techniques. The comparative studies indicate that the accuracy of finger vein identification methods is up to the mark. View Full-Text
Keywords: biometrics; finger vein recognition; feature extraction; matching; performance analysis biometrics; finger vein recognition; feature extraction; matching; performance analysis

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Shaheed, K.; Liu, H.; Yang, G.; Qureshi, I.; Gou, J.; Yin, Y. A Systematic Review of Finger Vein Recognition Techniques. Information 2018, 9, 213.

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