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Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS’08 pp 266–273Cite as

A Fast and Distortion Tolerant Hashing for Fingerprint Image Authentication

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Part of the book series: Advances in Soft Computing ((AINSC,volume 53))

Abstract

Biometrics such as fingerprint, face, eye retina, and voice offers means of reliable personal authentication is now a widely used technology both in forensic and civilian domains. Reality, however, makes it difficult to design an accurate and fast biometric recognition due to large biometric database and complicated biometric measures. In particular, fast fingerprint indexing is one of the most challenging problems faced in fingerprint authentication system. In this paper, we present a specific contribution to advance the state of the art in this field by introducing a new robust indexing scheme that is able to fasten the fingerprint recognition process.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Vietnam National University, Hanoi,  

    Thi Hoi Le & The Duy Bui

Authors
  1. Thi Hoi Le
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  2. The Duy Bui
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Editor information

Editors and Affiliations

  1. Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  2. University of Genova, Genova, Italy

    Rodolfo Zunino  & Paolo Gastaldo  & 

  3. Escuela Politécnica Superior, Burgos, Spain

    Álvaro Herrero

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© 2009 Springer-Verlag Berlin Heidelberg

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Le, T.H., Bui, T.D. (2009). A Fast and Distortion Tolerant Hashing for Fingerprint Image Authentication. In: Corchado, E., Zunino, R., Gastaldo, P., Herrero, Á. (eds) Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS’08. Advances in Soft Computing, vol 53. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88181-0_34

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  • DOI: https://doi.org/10.1007/978-3-540-88181-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88180-3

  • Online ISBN: 978-3-540-88181-0

  • eBook Packages: EngineeringEngineering (R0)

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