On Multiview Analysis for Fingerprint Liveness Detection

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...

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Bibliographic Details
Published inProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications Vol. 9423; pp. 143 - 150
Main Authors Toosi, Amirhosein, Cumani, Sandro, Bottino, Andrea
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2015
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Artificial intelligence
Image processing
Multi task learning
Multiview approach
Pattern recognition
Sparse reconstruction
Spoofing detection
SVM
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ISBN9783319257501
3319257501
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-25751-8_18

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Summary: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.
ISBN:9783319257501
3319257501
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-25751-8_18