International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 1 - Issue 5, June 2012 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Fingerprint Image Enhancement And Its Feature Extraction For Recognition

[Full Text]



Pankaj Bhowmik, Kishore Bhowmik, Mohammad Nurul Azam, Mohammed Wahiduzzaman Rony



Multiphysics, Magnetic & non magnetic material, Permeability, Mesh.



Fingerprint recognition is one of the most popular and successful methods used for person identification, which takes advantage of the fact that the fingerprint has some unique characteristics called minutiae; which are points where a curve track finishes, intersect with other track or branches off. A critical step in studying the statistics of fingerprint minutiae is to reliably extract minutiae from the fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations. The goal of this paper is to represent a complete process of fingerprint feature extraction for minutiae matching.



[1] Salil Prabhakar “Fingerprint Classification and Matching Using a Filterbank” Ph.D. thesis, Michigan State University, 2001.

[2] Venu Govindaraju, Z. Shi and Schneider "Feature extraction using a chaincoded contour representation" International Conference on Audio and Video Based Biometric Person Authentication, 2003.

[3] EA. Afsar, M. Arif, and M. Hussain, "Fingerprint identification and verification system using minutiae matching" in National Conference on Emerging Technologies, 2004.

[4] Chandan Shanna, "DSP implementation of fingerprintbased biometric system" Tech. Rep., University of Auckland, 2005.

[5] Neil Yager, Adnan Amin “Fingerprint classification: a review” Received: 24 April 2003 / Accepted: 2 February 2004 / Published online: 9 March 2004.Springer-Verlag London Limited 2004.

[6] Gualberto Aguilar, Gabriel Sánchez, Karina To scano, Moisés Salinas, Mariko Nakano, Hector Perez “Fingerprint Recognition” National Polytechnic Institute , Mexico

[7] D. Maio, D. Maltoni, A. K. Jain, and S. Prabhakar, Handbook of Fingerprint Recognition, Springer Verlag, 2003.