A Study on Automatic Latent Fingerprint Identification System

Authors

  • Uttam U Deshpande KLS Gogte Institute of Technology, Udyambag, Belagavi, Karnataka, India
  • V. S. Malemath KLE Dr. M.S. Sheshgiri College of Engineering and Technology,Udyambag, Belagavi,India

DOI:

https://doi.org/10.30564/jcsr.v4i1.4388

Abstract

Latent fingerprints are the unintentional impressions found at the crime scenes and are considered crucial evidence in criminal identification. Law enforcement and forensic agencies have been using latent fingerprints as testimony in courts. However, since the latent fingerprints are accidentally leftover on different surfaces, the lifted prints look inferior. Therefore, a tremendous amount of research is being carried out in automatic latent fingerprint identification to improve the overall fingerprint recognition performance. As a result, there is an ever-growing demand to develop reliable and robust systems. In this regard, we present a comprehensive literature review of the existing methods utilized in latent fingerprint acquisition, segmentation, quality assessment, enhancement, feature extraction, and matching steps. Later, we provide insight into different benchmark latent datasets available to perform research in this area. Our study highlights various research challenges and gaps by performing detailed analysis on the existing state-of-the-art segmentation, enhancement, extraction, and matching approaches to strengthen the research.

Keywords:

Fingerprint identification system; NIST; Latent fingerprints; Forensics fingerprint database

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How to Cite

Deshpande, U. U., & Malemath, V. S. (2022). A Study on Automatic Latent Fingerprint Identification System. Journal of Computer Science Research, 4(1), 38–50. https://doi.org/10.30564/jcsr.v4i1.4388

Issue

Vol. 4 , Iss. 1 (January 2022)

Article Type

Article

License

Copyright © 2022 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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