An Improved Quality Enhancement Fingerprint Analysis

Authors

  • Suresh Dara Department of Computer Science & Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • Sri Kavya Department of Computer Science & Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • A Naga Varalakshmi Devi Department of Computer Science & Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • B Krishna Priya Department of Computer Science & Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • R Indira Priyadarsini Department of Computer Science & Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • I Triveni Department of Computer Science & Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author

DOI:

https://doi.org/10.55524/ijircst.2023.11.3.22

Keywords:

Finger Print, Authentication, Biometric Techniques, Minutiae Based Approach

Abstract

 The use of fingerprint authentication as a  biometric technique for secure authentication and access con trol has gained significant traction in recent years. This article  presents an overview of the technology used for fingerprint  identification, its history, as well as the fundamental compo nents that make up a fingerprint recognition system. We also  go through the many approaches to fingerprint identification  techniques and algorithms, such as the minutiae-based ap proach, the ridge feature-based approach, and the pattern  recognition-based approach. All of these are utilized in the  process of authenticating fingerprints. In addition, we empha size the limitations of fingerprint authentication as well as the  security risks that are linked with it, as well as alternative  methods to overcome these constraints. 

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References

Afsar, F. A., M. Arif, and M. Hussain. "Fingerprint identifica tion and verification system using minutiae matching." National Conference on Emerging Technologies. Vol. 2. 2004.

Jain, Anil, Arun Ross, and Salil Prabhakar. "Fingerprint match ing using minutiae and texture features." Proceedings 2001 In ternational Conference on Image Processing (Cat. No. 01CH37205). Vol. 3. IEEE, 2001.

Maltoni, Davide, and Rafiaele Cappelli. "Fingerprint recogni tion." Handbook of biometrics (2008): 23-42.

Chugh, Tarang, Kai Cao, and Anil K. Jain. "Fingerprint spoof detection using minutiae-based local patches." 2017 IEEE Inter national Joint Conference on Biometrics (IJCB). IEEE, 2017.

Bhargava, Neeraj, et al. "Fingerprint recognition using minutia matching." International Journal of Computer Trends and Tech nology 3.4 (2012): 641-643.

John Berry and David A. Stoney, “The history and development of fingerprinting,” in Advances in Fingerprint Technology, Hen ry C. Lee and R.E. Gaensslen, Eds., pp. 1–40. CRC Press, Flor ida, 2nd edition, 2001.

Federal Bureau of Investigation, The Science of Finger prints:Classification and Uses, Washington, D.C., 1984, U.S. Government Printing Office

Http://Bias.Csr.Unibo.It/Fvc2004/, the Fingerprint Verification Competition Organization

Tico, M. & Kuosmanen, P, “An Algorithm for Fingerprint Im age Post processing” in Thirty-Fourth Asilomar Conference on Signals, Systems, and Computers, October 29, 2000 - Novem ber 1, 2000

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Published

2023-05-30

How to Cite

An Improved Quality Enhancement Fingerprint Analysis . (2023). International Journal of Innovative Research in Computer Science & Technology, 11(3), 110–113. https://doi.org/10.55524/ijircst.2023.11.3.22