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Finger-vein recognition based on parametric-oriented corrections

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Abstract

The two key factors in a biometric identification system are its high identification rate and convenience of device usage. In a finger-vein identification task, these two problems often occur since the captured device of finger-vein image should accommodate the high identification rate as well as the easy-to-use device design. The finger-vein is visually invisible inside the human skin. This work develops a new finger-vein capturing device using Near-Infrared (NIR) LED light and proposes an efficient technique for finger-vein identification. The vein image may contain noise and shadows due to device lighting conditions. Parametric-Oriented Histogram Equalization (POHE) is utilized to enhance image contrast and reduce the noise effect. This work also discusses normalized issues related to the angle correction of the finger edge and Region of Interest (ROI) for width normalization. In the experimental result, the proposed method yields a clear finger-vein pattern with a superior identification rate in the recognition task compared to the state-of-the-art methods.

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Acknowledgments

The authors would like to thank the anonymous reviewers of their paper for the many helpful suggestions. This work was supported by the Ministry of Science and Technology of Taiwan, R.O.C. under grant number MOST 104-2221-E-034-013-MY2-.

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Authors and Affiliations

  1. Department of Electrical Engineering, Chinese Culture University, Taipei, Taiwan

    Chih-Hsien Hsia

  2. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Jing-Ming Guo & Chong-Sheng Wu

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  1. Chih-Hsien Hsia
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  2. Jing-Ming Guo
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  3. Chong-Sheng Wu
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Correspondence to Chih-Hsien Hsia.

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Hsia, CH., Guo, JM. & Wu, CS. Finger-vein recognition based on parametric-oriented corrections. Multimed Tools Appl 76, 25179–25196 (2017). https://doi.org/10.1007/s11042-016-4296-z

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  • DOI: https://doi.org/10.1007/s11042-016-4296-z

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