Application of Machine Learning in Fingerprint Image Enhancement and Recognition: A Review

Authors

  • Kshitij Singh M.Tech Scholar, Department of CSE, Oriental Institute of Science & Technology, Bhopal, M.P, India
  • Dr. Gireesh Kumar Dixit Professor, Department of CSE, Oriental Institute of Science & Technology, Bhopal, M.P, India

DOI:

https://doi.org/10.24113/ijoscience.v7i4.386

Keywords:

Fingerprint, Pre-processing, Image Enhancement, Machine Learning, Matching.

Abstract

Biometric characteristics helps to recognize an individual among others. Each individual has a unique biometric feature. So, an automated system is designed to recognize an individual. In today’s growing AI development, biometric recognition is applied in many security systems. One of oldest and widely used authentic biometric methodology is fingerprint recognition. Many fingerprint recognition algorithms are designed and developed in order to reduce error rate and to improve accuracy. In this paper, a comprehensive review is presented on various techniques used for fingerprint recognition system along with their performance and their limitations. The purpose of this paper is to review various recent work on the fingerprint recognition system, to explain step by step the steps for recognizing fingerprints, and to provide summaries of the fingerprint databases with functionality

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References

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Published

04/23/2021

How to Cite

Singh, K. ., & Dixit, D. G. K. . (2021). Application of Machine Learning in Fingerprint Image Enhancement and Recognition: A Review. SMART MOVES JOURNAL IJOSCIENCE, 7(4), 33–37. https://doi.org/10.24113/ijoscience.v7i4.386

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