Fingerprint indexing with bad quality areas

  • Authors:
  • Alfredo MuñOz-BriseñO;AndréS Gago-Alonso;José HernáNdez-Palancar

  • Affiliations:
  • Advanced Technologies Application Center (CENATAV), Havana, Cuba;Advanced Technologies Application Center (CENATAV), Havana, Cuba;Advanced Technologies Application Center (CENATAV), Havana, Cuba

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2013

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Abstract

Fingerprint indexing is a key technique in fingerprint identification systems. This strategy allows us to reduce the search space and the occurrences of false acceptance in databases with great size. This paper presents a new triplet based indexing algorithm which uses a new fingerprint representation, based on minutia triplets. This representation is an extension of the triangle set obtained from Delaunay triangulation. Also, a strategy is proposed in order to dismiss bad quality triplets that could affect the accuracy of the indexing process. This proposal shows a good accuracy, even when the fingerprints have bad quality areas.