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CSOC 2020: Artificial Intelligence and Bioinspired Computational Methods pp 26–45Cite as

A Hand Contour Classification Using Ensemble of Natural Features: A Large Comparative Study

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1225))

Abstract

Biometrics is a standalone scientific discipline which enjoys more and more attention of many researchers. The provision of the general security plays a key role in many modern branches. In the presented paper a person identification task is solved using the shape of a human hand, and also the hand contour classification algorithm based on an evolutionary estimator is also. The proposed methodology provides the comparison of the identified person with a set of model contours. The examination of the proposed method was performed with use of a database which contains 940 images of the scanned hands from 94 persons, including 10 images from every person. Totally 88360 combinations of the input images. The proposed evolutionary estimator uses an EPSDE algorithm, which is derived from a differential evolution algorithm which was proposed at the end of the 90’s. The model of the hand contour of every person is represented by only one image, which has movable finger contours in the classification process regarding the knuckle positions of the hand. Thanks to that, it is not necessary to use the pegs to hold the individual fingers in correct positions. The hand can be both placed on a support desk or can be freely hung in the air. All results obtained at classification time with use of the presented evolutionary estimator provide accuracy of approximately 98%.

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Acknowledgment

The publication was supported by the funds of University of Pardubice, Czech Republic – Student grant competition project (SGS_2020_001).

Author would like to express cordial thanks to Mr. Paul Hooper for his careful English text correction, patience and stamina.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Informatics, University of Pardubice, náměstí Čs. legií 565, 530 02, Pardubice, Czech Republic

    Jaroslav Moravec

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  1. Jaroslav Moravec
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Correspondence to Jaroslav Moravec .

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  1. Tomas Bata University, Zlín, Czech Republic

    Radek Silhavy

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Moravec, J. (2020). A Hand Contour Classification Using Ensemble of Natural Features: A Large Comparative Study. In: Silhavy, R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1225. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_3

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