Radon transform algorithm for fingerprint core point detection

  • Authors:
  • Miguel Mora-González;Julio C. Martínez-Romo;Jesús Muñoz-Maciel;Guillermo Sánchez-Díaz;Javier Salinas-Luna;H. I. Piza-Dávila;Francisco J. Luna-Rosas;Carlos A. de Luna-Ortega

  • Affiliations:
  • Universidad de Guadalajara, Centro Universitario de los Lagos, Lagos de Moreno, Jal., México;Instituto Tecnológico de Aguascalientes, Aguascalientes, Ags., México;Universidad de Guadalajara, Centro Universitario de los Lagos, Lagos de Moreno, Jal., México;UdeG, Centro Universitario de los Valles, Ameca, Jal., México;UdeG, Centro Universitario de los Valles, Ameca, Jal., México;Instituto Tecnológico y de Estudios Superiores de Occidente, Tlaquepaque, Jal., México;Instituto Tecnológico de Aguascalientes, Aguascalientes, Ags., México;Universidad de Guadalajara, Centro Universitario de los Lagos, Lagos de Moreno, Jal., México

  • Venue:
  • MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
  • Year:
  • 2010

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Abstract

This article presents an innovative technique for solving the problem of finding the core within a fingerprint. The Radon transform and a tree clustering algorithm were key to locating the coordinates of the core. Binarization and high-pass filtering processes to improve the contrast in fingerprints are proposed. The core of a fingerprint is located in the geometric cross section of maxima and minima in the Radon transforms at 0° and 90°. The technique is very stable, since it only presents difficulties when the fingerprint core is located on the edges of the image or is nonexistent.