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A Systematic Review of Finger Vein Recognition Techniques

1
School of Computer Science and Technology, Shandong University, Jinan 250101, China
2
Shandong Province Water Conservancy Information Center, Jinan 250002, China
*
Author to whom correspondence should be addressed.
Information 2018, 9(9), 213; https://doi.org/10.3390/info9090213
Received: 26 July 2018 / Revised: 14 August 2018 / Accepted: 14 August 2018 / Published: 24 August 2018
(This article belongs to the Section Artificial Intelligence)
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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MDPI and ACS Style

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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