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Multimodal biometrics: Empirical study of performance-throughput trade-off


The paper briefly describes results of empirical study on performance (as measured by ROC) and throughput (as measured by number of matches per sec) of multimodal biometrics. We use cascaded multimodal biometric identification. Experiments show that cascaded multimodal biometric fusion improves both throughput and performance.

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Corresponding author

Correspondence to O. Ushmaev.

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The article is published in the original.

Oleg S. Ushmaev received the MS degree in Math from Lomonosov Moscow State University in 2002 and the PhD degree in Computer Science in 2004, and the doctoral degree in 010 from the Institute of Informatics Problems, Russian Academy of Sciences. He is leading scientist in the Institute of Informatics Problems. Until 2009 he worked as R&D Director with fingerprint vendor Biolink Solutions. His research interests include multimodal biometrics, fingerprint recognition and statistical pattern recognition.

Igor N. Sinitsyn Doctor of Sciences, professor, head of the Institute of Informatics Problems, Russian Academy of Sciences. He is the author of more than 500 publications, including 50 books, and 30 patents.

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Ushmaev, O., Sinitsyn, I. Multimodal biometrics: Empirical study of performance-throughput trade-off. Pattern Recognit. Image Anal. 21, 754–758 (2011).

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Key words

  • multimodal biometrics