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An Efficient Finger Vein Image Enhancement and Pattern Extraction Using CLAHE and Repeated Line Tracking Algorithm

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Intelligent Computing, Information and Control Systems (ICICCS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1039))

Abstract

Finger vein recognition is documented as one of the effectual biometric technique today for person identification because of its following advantages: Contactless sensor, low cost, living body authentication and complex security. Pattern extraction is an essential process that is used to extract the cleared specific vein patterns from the spurious finger vein image. In this paper, the repeated line tracking algorithm is endeavored to extort the vein samples adequately. In order to attain the improved extraction consequence, the image is enhanced by using Contrast Limited Adaptive Histogram Equalization (CLAHE) before employing the extraction progress. For this purpose we are taking a publicly available dataset namely UTFVP. Subsequently a performance comparison is given for our proposed work in the aspect of some quality measures as PSNR, MSE and SSIM values for before and after processing. Experimental result shows that the simplicity, reliability and sturdiness of the proposed pattern extraction method.

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Acknowledgement

This article has been written with the financial support of RUSA-Phase 2.0 grand sanctioned vide Letter No. F.24-51/2014-U. Policy (TNMulti-Gen). Dept. of Edn. Govt. of india, Dt. o9.10.2018.

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Authors and Affiliations

  1. Department of Computer Applications, Alagappa University, Karaikudi, India

    Thenmozhi Ganesan, Anandha Jothi Rajendran & Palanisamy Vellaiyan

Authors
  1. Thenmozhi Ganesan
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  2. Anandha Jothi Rajendran
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  3. Palanisamy Vellaiyan
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Corresponding author

Correspondence to Thenmozhi Ganesan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Vaigai College of Engineering, Madurai, Tamil Nadu, India

    A. Pasumpon Pandian

  2. Electrical and Computer Engineering, University of Applied Sciences, Egaleo, Attiki, Greece

    Klimis Ntalianis

  3. Department of Business Administration, The Gerald Schwartz School of Business, Antigonish, NS, Canada

    Ram Palanisamy

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Ganesan, T., Rajendran, A., Vellaiyan, P. (2020). An Efficient Finger Vein Image Enhancement and Pattern Extraction Using CLAHE and Repeated Line Tracking Algorithm. In: Pandian, A., Ntalianis, K., Palanisamy, R. (eds) Intelligent Computing, Information and Control Systems. ICICCS 2019. Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham. https://doi.org/10.1007/978-3-030-30465-2_76

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