Multimodal biometric system based palmprzint and IRIS

• Published in: Eighth International Multi-Conference on Systems, Signals & Devices pp. 1 - 5
• Main Authors: Trabelsi, R. B., Kallel, I. K., Imasmoudi, D. S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-03-2011
• Subjects: Feature extraction; fractal; Fractals; Fusion; Histograms; Image segmentation; Iris recognition; LBP; Multimodal Biometrics; Palmprint recognition; Score level
• ISBN: 9781457704130; 1457704137
• DOI: 10.1109/SSD.2011.5993560

Biometric technology identifies individuals automatically using their physiological and/or behavioral characteristics. The uni-modal biometric systems can recognize a person using a single biometric modality, but can not guarantee with certainty the proper identification. Moreover, these systems can present a variety of problems such as noisy data, the intra-class and unacceptable error rates. Some of these limitations can be addressed by the deployment of multimodal biometric systems that incorporate elements presented by multiple sources of information. In this paper, we present a new fusion technique of biometric signatures from the palmprint and iris. For iris recognition, we employ fractal analysis method, while a Local binary patterns (LBP) is used for palmprint recognition. Finally, the scores are fused to authenticate the identity using the new fusion scheme.