Multimodal biometric fusion using multiple-input correlation filter classifiers

Pablo Hennings; Marios Savvides; B. V. K. Vijaya Kumar

doi:10.1117/12.604239

28 March 2005 Multimodal biometric fusion using multiple-input correlation filter classifiers

Pablo Hennings, Marios Savvides, B. V. K. Vijaya Kumar

Proceedings Volume 5779, Biometric Technology for Human Identification II; (2005) https://doi.org/10.1117/12.604239
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

In this work we apply a computationally efficient, closed form design of a jointly optimized filter bank of correlation filter classifiers for biometric verification with the use of multiple biometrics from individuals. Advanced correlation filters have been used successfully for biometric classification, and have shown robustness in verifying faces, palmprints and fingerprints. In this study we address the issues of performing robust biometric verification when multiple biometrics from the same person are available at the moment of authentication; we implement biometric fusion by using a filter bank of correlation filter classifiers which are jointly optimized with each biometric, instead of designing separate independent correlation filter classifiers for each biometric and then fuse the resulting match scores. We present results using fingerprint and palmprint images from a data set of 40 people, showing a considerable advantage in verification performance producing a large margin of separation between the impostor and authentic match scores. The method proposed in this paper is a robust and secure method for authenticating an individual.

Citation Download Citation

Pablo Hennings, Marios Savvides, and B. V. K. Vijaya Kumar "Multimodal biometric fusion using multiple-input correlation filter classifiers", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.604239

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KEYWORDS

Image filtering

Biometrics

Filtering (signal processing)

Fusion energy

Image fusion

Feature extraction

Data fusion

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