In this paper, we present an effective approach to the biometric user verification using palmprints. The main idea and key innovation of the method is a compact 32-bit length vector to summarize the palmprint texture. This method provides the user verification with the accuracy reaching 92% in the experiments performed on the benchmark PolyU palmprint database. Moreover, the reported results show that the obtained accuracy appears to be hardly dependent on the number of enrolled samples. The proposed representation may be extremely useful in real life applications because of its compactness and effectiveness.
CITATION STYLE
Giełczyk, A., Marcialis, G. L., & Choraś, M. (2019). Binary Code for the Compact Palmprint Representation Using Texture Features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11679 LNCS, pp. 132–142). Springer Verlag. https://doi.org/10.1007/978-3-030-29891-3_12
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