A New Ridge-Features-Based Method for Fingerprint Image Quality Assessment

  • Katy Castillo-RosadoEmail author
  • José Hernández-Palancar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9423)


Fingerprint is the most widely used biometric trait. Many factors may cause the quality degradation of fingerprint impressions: users, sensors and environmental facts. Most of the fingerprint-based biometric systems need an accurate prediction of fingerprint quality. A fingerprint quality measure can be used in enrollment or recognition stages, for improving the AFIS performances. In this work, a new fingerprint image quality estimation method guided by how experts classify fingerprint images quality is presented. By using six features, a continuous quality value is calculated. Experiments were performed in a well-known database. The proposed approach performance was evaluated by measuring its impact on the recognition stage and comparing it with the NFIQ quality algorithm. The Verifinger 4.2 was used as matching algorithm. The results shown that the proposed approach has a very good performance.


Fingerprint Quality estimation Orientation map Coherence value Ridge frequency 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Katy Castillo-Rosado
    • 1
    Email author
  • José Hernández-Palancar
    • 1
  1. 1.Advanced Technologies Application Center (CENATAV)La HabanaCuba

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