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Binary Code for the Compact Palmprint Representation Using Texture Features

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Computer Analysis of Images and Patterns (CAIP 2019)

Abstract

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.

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Acknowledgements

The research was conducted using the BSM 81/2017 project’s wherewithal, which is founded by the Polish Ministry of Science and High Education.

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Correspondence to Agata Giełczyk .

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Giełczyk, A., Marcialis, G.L., Choraś, M. (2019). Binary Code for the Compact Palmprint Representation Using Texture Features. In: Vento, M., Percannella, G. (eds) Computer Analysis of Images and Patterns. CAIP 2019. Lecture Notes in Computer Science(), vol 11679. Springer, Cham. https://doi.org/10.1007/978-3-030-29891-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-29891-3_12

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  • Print ISBN: 978-3-030-29890-6

  • Online ISBN: 978-3-030-29891-3

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