Document Detail


Fingerprint image reconstruction from standard templates.
MedLine Citation:
PMID:  17627039     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A minutiae-based template is a very compact representation of a fingerprint image and for a long time it has been assumed that it did not contain enough information to allow the reconstruction of the original fingerprint. This work proposes a novel approach to reconstruct fingerprint images from standard templates and investigates to what extent the reconstructed images are similar to the original ones (i.e., those the templates were extracted from). The efficacy of the reconstruction technique has been assessed by estimating the success chances of a masquerade attack against nine different fingerprint recognition algorithms. The experimental results show that the reconstructed images are very realistic and that, although it is unlikely they can fool a human expert, there is a high chance to deceive state-of-the-art commercial fingerprint recognition systems.
Authors:
R Cappelli; A Lumini; D Maltoni
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on pattern analysis and machine intelligence     Volume:  29     ISSN:  0162-8828     ISO Abbreviation:  IEEE Trans Pattern Anal Mach Intell     Publication Date:  2007 Sep 
Date Detail:
Created Date:  2007-07-13     Completed Date:  2007-12-31     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9885960     Medline TA:  IEEE Trans Pattern Anal Mach Intell     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1489-503     Citation Subset:  IM    
Affiliation:
Scienze dell'Informazione, Università di Bologna, Cesena, Italy. cappelli@csr.unibo.it
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence*
Biometry / methods*
Dermatoglyphics / classification*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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