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Bio-medical and latent fingerprint enhancement and matching using advanced scalable soft computing models

  • Adhiyaman Manickam
  • Ezhilmaran Devarasan
  • Gunasekaran Manogaran
  • Naveen Chilamkurti
  • Vijayarajan Vijayan
  • Shubham Saraff
  • R. D. Jackson Samuel
  • Raja Krishnamoorthy
Original Research
  • 17 Downloads

Abstract

Latent fingerprints are acquired from crime places which are utilized to distinguish suspects in crime inspection. In general, latent fingerprints contain mysterious ridge and valley structure with nonlinear distortion and complex background noise. These lead to fundamentally difficult problem for further analysis. Hence, the image quality is required for matching those latent fingerprints. In this work, we develop a model for enhancement of latent fingerprint and matching algorithm, which requires manually marked (ground-truth) ROI latent fingerprints. This proposed model includes two phases (i) Latent fingerprints contrast enhancement using type-2 intuitionistic fuzzy set (ii) Extract the minutiae and Scale Invariant Feature Transformation (SIFT) features from the latent fingerprint image. For matching, these algorithms have been figured based on minutiae and SIFT points which inspect n number of images and the scores are calculated by Euclidean distance. We tested our algorithm for matching, using some public domain fingerprint databases such as Fingerprint Verification Competition − 2004 (FVC-2004) and Indraprastha Institute of Information Technology (IIIT)-latent fingerprint which indicates that by fusing the proposed enhancement algorithm, the matching precision has fundamentally moved forward.

Keywords

Latent fingerprint image Type-2 intuitionistic fuzzy set Feature extraction Enhancement Matching Euclidean distance 

Notes

Acknowledgements

The authors wish to express their sincere thanks to the referees and the editor for their valuable comments and suggestions to improve the quality of the paper.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Adhiyaman Manickam
    • 1
  • Ezhilmaran Devarasan
    • 1
  • Gunasekaran Manogaran
    • 2
  • Naveen Chilamkurti
    • 3
  • Vijayarajan Vijayan
    • 4
  • Shubham Saraff
    • 4
  • R. D. Jackson Samuel
    • 5
  • Raja Krishnamoorthy
    • 6
  1. 1.School of Advanced SciencesVITVelloreIndia
  2. 2.University of CaliforniaDavisUSA
  3. 3.Department of Computer Science and Computer EngineeringLaTrobe UniversityMelbourneAustralia
  4. 4.School of Computer Science and EngineeringVITVelloreIndia
  5. 5.SCOPE, VITChennaiIndia
  6. 6.Department of Electronics and Communication EngineeringCMR Engineering CollegeHyderabadIndia

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