Abstract
Local phase array for biometric recognition have demonstrated efficient performance in face, palmprint and finger knuckle recognition. If the matching score for each trait is calculated by one matcher using local phase array, the size of the system can be reduced and the simple score level fusion can be used to exhibit good performance for person authentication. In this paper, we consider the score level fusion of face, iris, palmprint, and finger knuckle whose matching scores are calculated using local phase array. Through a set of experiments using public databases, we demonstrate effectiveness of local phase array for multibiometric recognition compared with the combination of the state-of-the-art recognition algorithm for each trait.
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Marval Pérez, L.R., Aoyama, S., Ito, K., Aoki, T. (2015). Score Level Fusion of Multibiometrics Using Local Phase Array. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_21
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DOI: https://doi.org/10.1007/978-3-319-24078-7_21
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