Radon transform algorithm for fingerprint core point detection Conference Paper

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Overview

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. © 2010 Springer-Verlag Berlin Heidelberg.

authors

• De Luna-Ortega C.A.
• Luna-Rosas F.J.
• Martínez-Romo J.C.
• Mora-Gonzalez M.
• Muñoz-Maciel J.
• Piza-Davila I.
• Salinas-Luna J.
• Sánchez Díaz Guillermo

publication date

• 2010-01-01

published in

• Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  Journal

Research

keywords

• Core Point; Edge Detection; Fingerprint; Radon Transform Binarizations; Core Point; Cross section; Fingerprint; High-pass filtering; Point detection; Radon Transform; Binarizations; Core points; Fingerprint; Geometric cross-sections; High-pass filtering; Innovative techniques; Radon Transform; Clustering algorithms; Edge detection; Trees (mathematics); Clustering algorithms; Edge detection; High pass filters; Mathematical transformations; Palmprint recognition; Trees (mathematics); Mathematical transformations; Pattern recognition

Identity

Digital Object Identifier (DOI)

• 10.1007/978-3-642-15992-3_15

Additional Document Info

start page

• 134

end page

• 143

volume

• 6256 LNCS