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Mexican International Conference on Artificial Intelligence

MICAI 2015: Advances in Artificial Intelligence and Its Applications pp 371–381Cite as

Feature to Feature Matching for LBP Based Face Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9414))

Abstract

This paper presents a novel face recognition method called Local Binary Patterns with Feature to Feature Matching (LBP-FF). Contrary to other LBP approaches, we do not focus on the operator itself, however we would like to improve the matching procedure. The current LBP based approaches concatenate all feature vectors into one vector and then compare these large vectors. By contrast, our method compares the features separately. A sophisticated distance measure composed from two parts is used for face comparison. Chi square distance and histogram intersection metrics are utilized for vector distance computation. The proposed approach is evaluated on four face corpora: AT&T, FERET, AR and ČTK database. We experimentally show that our method significantly outperforms all compared state-of-the-art methods on all the databases. It is also worth of noting that the ČTK corpus is a novel face dataset composed of the images taken in real-world conditions and is freely available for research purposes at http://ufi.kiv.zcu.cz or upon request to the authors.

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Notes

  1. 1.

    http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html.

  2. 2.

    http://www2.ece.ohio-state.edu/~aleix/ARdatabase.html.

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Acknowledgements

This work has been partly supported by the project LO1506 of the Czech Ministry of Education, Youth and Sports. We also would like to thank Czech New Agency (ČTK) for support and for providing the photographic data.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic

    Ladislav Lenc & Pavel Král

  2. NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic

    Ladislav Lenc & Pavel Král

Authors
  1. Ladislav Lenc
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  2. Pavel Král
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Corresponding author

Correspondence to Pavel Král .

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Editors and Affiliations

  1. Unidad Profesional Interdisciplinaria, México DF, Mexico

    Obdulia Pichardo Lagunas

  2. Universidad Autónoma Metropolitana, México DF, Mexico

    Oscar Herrera Alcántara

  3. Instituto de Investigaciones Eléctricas, Cuernavaca, Morelos, Mexico

    Gustavo Arroyo Figueroa

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Lenc, L., Král, P. (2015). Feature to Feature Matching for LBP Based Face Recognition. In: Pichardo Lagunas, O., Herrera Alcántara, O., Arroyo Figueroa, G. (eds) Advances in Artificial Intelligence and Its Applications. MICAI 2015. Lecture Notes in Computer Science(), vol 9414. Springer, Cham. https://doi.org/10.1007/978-3-319-27101-9_28

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  • DOI: https://doi.org/10.1007/978-3-319-27101-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27100-2

  • Online ISBN: 978-3-319-27101-9

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