Palmprint biometrics is a promising modality that enables efficient human identification, also in a mobile scenario. In this paper, a\nnovel approach to feature extraction for palmprint verification is presented. The features are extracted from hand geometry and\npalmprint texture and fused. The use of a fusion of features facilitates obtaining a higher accuracy and, at the same time, provides\nmore robustness to intrusive factors like illumination, variation, or noise. The major contribution of this paper is the proposition\nand evaluation of a lightweight verification schema for biometric systems that improves the accuracy without increasing\ncomputational complexity which is a necessary requirement in real-life scenarios.
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