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Palm Print Identification and Verification Using a Genetic-Based Feature Extraction Technique

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9730))

Abstract

In this paper, we investigate the performance of two feature extraction techniques on palm prints images. The first is the Local Binary Pattern (LBP) feature extraction technique. The second is the Genetic and Evolutionary Feature Extraction (GEFE) technique. A set of feature extractors are evolved by GEFE and the average and best performance of the extractors are compared to the best scheme of LBP. The techniques are tested on left hand, right hand and combined hand datasets. The results show varying performances between the extraction techniques, but the GEFE approach is promising.

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Acknowledgements

This research is based upon work supported by the Science & Technology Center: Bio/Computational Evolution in Action Consortium (BEACON) and the Army Research Office (Contract No. W911NF-15-1-0524).

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Correspondence to Kaushik Roy .

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Shelton, J., Jenkins, J., Roy, K. (2016). Palm Print Identification and Verification Using a Genetic-Based Feature Extraction Technique. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-41501-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41500-0

  • Online ISBN: 978-3-319-41501-7

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