Fingerprint verification competition 2006

doi:10.1016/S0969-4765(07)70140-6

Biometric Technology Today

Volume 15, Issues 7–8, July–August 2007, Pages 7-9

https://doi.org/10.1016/S0969-4765(07)70140-6 Get rights and content

The interest in fingerprint-based biometric systems has constantly grown in recent years and considerable efforts have been focused by both academia and industry on the development of new algorithms for fingerprint recognition. Raffaele Cappelli, Matteo Ferrara, Annalisa Franco and Davide Maltoni of the Biometric System Laboratory at the University of Bologna explain the findings of the Fingerprint Verification Competition 2006.

Section snippets

Databases

Four databases created using three different scanners and the SFinGe synthetic generator were used in the FVC2006 benchmark (see Table 2). Figure 1 shows an example image at the same scale factor from each database.

Different from the first three editions of FVC, data collection in FVC2006 was performed without deliberately introducing difficulties such as exaggerated distortion, large amounts of rotation and displacement, wet/dry impressions, etc, but the population is more heterogeneous and

Testing protocol

Participants submitted each algorithm in the form of two executable programs: the first for enrolling a fingerprint image and producing the corresponding template, and the second for comparing a fingerprint template to a fingerprint image and producing a comparison score in the range [0,1]. The input includes a database-specific configuration file. Each algorithm is tested by performing, for each database, the following comparisons:

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Genuine recognition attempts: the template of each

Results

The following performance indicators were measured and made available at the FVC2006 web site (http://bias.csr.unibo.it/fvc2006/)

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Genuine and impostor score histograms;
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False Match Rate (FMR) and False Non-Match Rate (FNMR) graphs and Decision Error Trade-off (DET) graph;
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Failure-to-Enrol Rate (FTE) and Failure-to-Compare Rate (FTC) which can be reported by the algorithm or imposed by the test procedure in case of timeout, program crash, exceeded memory limit, exceeded template limit or

Conclusions

Performance evaluation is important for all pattern recognition applications and particularly so for biometrics, which is receiving widespread international attention for citizen identity verification and identification in large-scale applications. Unambiguously and reliably assessing the current state of the technology is essential for understanding its limitations and addressing future research requirements.

The interest shown in the FVC testing program by algorithm developers continues to be

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Fingerprints are the most popular and widely practiced biometric trait for human recognition and authentication. Due to the wide approval, reliable fingerprint template generation and secure saving of the generated templates are highly vital. Since fingers are permanently connected to the human body, loss of fingerprint data is irreversible. Cancelable fingerprint templates are used to overcome this problem. This paper introduces a novel cancelable fingerprint template generation mechanism using Visual Secret Sharing (VSS), data embedding, inverse halftoning, and super-resolution. During the fingerprint template generation, VSS shares with some hidden information are formulated as the secure cancelable template. Before authentication, the secret fingerprint image is reconstructed back from the VSS shares. The experimental results show that the proposed cancelable templates are simple, secure, and fulfill all the properties of the ideal cancelable templates, such as security, accuracy, non-invertibility, diversity, and revocability. The experimental analysis shows that the reconstructed fingerprint images are similar to the original fingerprints in terms of visual parameters and matching error rates.
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: This feature was provided by Raffaele Cappelli, Matteo Ferrara, Annalisa Franco and Davide Maltoni of the Biometric System Laboratory, University of Bologna.

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FeatureFingerprint verification competition 2006

Section snippets

Databases

Testing protocol

Results

Conclusions

Feature
Fingerprint verification competition 2006