Password less system security using multimodal biometric fusion

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Abstract

In this paper, we propose the use of audio visual features for person identity verification instead of traditional passwords and pins for secure access. Experiments performed on different gender specific subsets of data from VidTIMIT and UCB N multimodal databases under clean and noisy conditions show that with audio-visual fusion, about 25-40% improvement in performance can be achieved with multimodal fusion as compared to single mode-audio only or visual only mode even under noisy acoustic conditions.

Original languageEnglish
Title of host publicationProceedings of the 3rd Indian International Conference on Artificial Intelligence, Pune, India, December 17-19, 2007
Subtitle of host publicationIICAI 2007
Pages1-10
Number of pages10
Publication statusPublished - 2007
Event3rd Indian International Conference on Artificial Intelligence, IICAI 2007 - Pune, India
Duration: 17 Dec 200719 Dec 2007

Conference

Conference3rd Indian International Conference on Artificial Intelligence, IICAI 2007
CountryIndia
CityPune
Period17/12/0719/12/07

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Chetty, G., Tran, D., Sharma, D., & Balachandran, B. (2007). Password less system security using multimodal biometric fusion. In Proceedings of the 3rd Indian International Conference on Artificial Intelligence, Pune, India, December 17-19, 2007: IICAI 2007 (pp. 1-10)