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On Multiview Analysis for Fingerprint Liveness Detection

  • Amirhosein Toosi
  • Sandro Cumani
  • Andrea BottinoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9423)

Abstract

Fingerprint recognition systems, as any other biometric system, can be subject to attacks, which are usually carried out using artificial fingerprints. Several approaches to discriminate between live and fake fingerprint images have been presented to address this issue. These methods usually rely on the analysis of individual features extracted from the fingerprint images. Such features represent different and complementary views of the object in analysis, and their fusion is likely to improve the classification accuracy. However, very little work in this direction has been reported in the literature. In this work, we present the results of a preliminary investigation on multiview analysis for fingerprint liveness detection. Experimental results show the effectiveness of such approach, which improves previous results in the literature.

Keywords

Spoofing detection Multiview approach SVM Multi task learning Sparse reconstruction 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Amirhosein Toosi
    • 1
  • Sandro Cumani
    • 1
  • Andrea Bottino
    • 1
    Email author
  1. 1.Politecnico di TorinoTurinItaly

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