Paper
17 March 2008 Multi-biometric templates using fingerprint and voice
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eren Camlikaya, Alisher Kholmatov, and Berrin Yanikoglu "Multi-biometric templates using fingerprint and voice", Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440I (17 March 2008); https://doi.org/10.1117/12.777738
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Cited by 36 scholarly publications.
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KEYWORDS
Biometrics

Databases

Data fusion

Feature extraction

Binary data

Electronic filtering

Systems modeling

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