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Geometrical local image descriptors for palmprint recognition

Bilal Attallah 1, 2 Youssef Chahir 1 Amina Serir 2
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : A new palmprint recognition system is presented here. The method of extracting and evaluating textural feature vectors from palmprint images is tested on the PolyU database. Furthermore, this method is compared against other approaches described in the literature that are founded on binary pattern descriptors combined with spiral-feature extraction. This novel system of palm-print recognition was evaluated for its collision test performance, precision, recall , F-score and accuracy. The results indicate the method is sound and comparable to others already in use.
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Submitted on : Monday, June 25, 2018 - 6:17:10 PM
Last modification on : Wednesday, November 13, 2019 - 3:38:43 PM
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Bilal Attallah, Youssef Chahir, Amina Serir. Geometrical local image descriptors for palmprint recognition. International Conference on Image and Signal Processing 2018 (ICISP 2018), Jul 2018, Cherbourg, France. pp.419-426, ⟨10.1007/978-3-319-94211-7_45⟩. ⟨hal-01790993⟩



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