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An Enhancement of the Usage of the Poincare Index for the Detection and Classification of Characteristic Points in Dactylograms

  • Angélica González
  • Marco A. Ameller F.
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 93)

Abstract

In order to identify subjects in a convenient and efficient way one must use some special feature that makes it possible to discriminate between persons. Some of the features are biometric in nature, such as iris texture, hand shape, the human face, and of course finger prints. These play an important role in many automatic identification systems, since every person is believed to have a unique set of fingerprints. Before a fingerprint image can be looked up in a database, it has to be classified into one of 5 types in order to reduce processing times.

Keywords

Singular Points Poincare Index Ridge field direction detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Angélica González
    • 1
  • Marco A. Ameller F.
    • 1
    • 2
  1. 1.Computers and Automation DepartmentUniversity of SalamancaSalamancaSpain
  2. 2.Computers Engineering DepartmentAutonomous University Tomas FriasPotosíSpain

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