Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

A supervised correlation analysis for score-level calibration of cross-device fingerprint recognition

Language

English

Abstract

© 2014 IEEE. As the usage of fingerprint systems is rolled out on a large scale, scenarios have cross-device matching to allow information exchange and provide compatibility to the existing systems. A score-level calibration for device interoperability will require normalizing scores obtained from different devices so that they can be matched meaningfully and effectively. Conventional methods either assume a homogeneous distribution or model score distribution based on assumptions that may not be valid. In this paper, we circumvent the problem by leveraging correlations among the scores and propose a novel method for biometric score normalization. Our experiments show the promising results.

Publication Date

2014

Source Publication Title

Proceedings 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Start Page

1165

End Page

1170

Conference Location

San Diego, United States

Publisher

IEEE

DOI

10.1109/SMC.2014.6974071

Link to Publisher's Edition

http://dx.doi.org/10.1109/SMC.2014.6974071

ISBN (print)

9781479938407

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