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Proceedings Paper

Multi-biometric templates using fingerprint and voice
Author(s): Eren Camlikaya; Alisher Kholmatov; Berrin Yanikoglu
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Paper Abstract

As biometrics gains popularity, there is an increasing concern about privacy and misuse of biometric data held in central repositories. Furthermore, biometric verification systems face challenges arising from noise and intra-class variations. To tackle both problems, a multimodal biometric verification system combining fingerprint and voice modalities is proposed. The system combines the two modalities at the template level, using multibiometric templates. The fusion of fingerprint and voice data successfully diminishes privacy concerns by hiding the minutiae points from the fingerprint, among the artificial points generated by the features obtained from the spoken utterance of the speaker. Equal error rates are observed to be under 2% for the system where 600 utterances from 30 people have been processed and fused with a database of 400 fingerprints from 200 individuals. Accuracy is increased compared to the previous results for voice verification over the same speaker database.

Paper Details

Date Published: 17 March 2008
PDF: 9 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440I (17 March 2008); doi: 10.1117/12.777738
Show Author Affiliations
Eren Camlikaya, Sabanci Univ. (Turkey)
Alisher Kholmatov, Sabanci Univ. (Turkey)
Berrin Yanikoglu, Sabanci Univ. (Turkey)

Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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