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Face recognition using a permutation coding neural classifier

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Abstract

Face recognition is an important security task. We propose a high-level method to solve this problem: a permutation coding neural classifier (PCNC). A PCNC with a special feature extractor for face image recognition systems is a relatively new method that has been tested with good results to classify real environment images (such as larvae of various types and handmade elements). As baseline methods, a support vector machine (SVM) and the iterative closest point (ICP) method are selected for comparison. We applied these methods to gray-level images from the FRAV3D face database. Fifteen experiments were performed to examine a large set of training and testing conditions. As a general result, it was observed that errors are lower with the PCNC than with the SVM and the ICP classifier. We aggregated various distortions for the initial images to improve the PCNC. We analyze and discuss the obtained results.

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Acknowledgments

This work was supported in part by the projects PAPIIT IN102014 and PAPIIT IT102814. We thank DGAPA and UNAM for a sabbatical grant. The authors thank Dr. Neil Bruce for his help during paper preparation.

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Authors and Affiliations

  1. Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria, AP 70-186, 04510, Mexico, D.F., Mexico

    T. Baidyk, E. Kussul, Z. Cruz Monterrosas, A. J. Ibarra Gallardo & K. L. Roldán Serrato

  2. FRAV, University Rey Juan Carlos, Campus de Móstoles, C/Tulipán, s/n, 28933, Móstoles, Madrid, Spain

    C. Conde, I. Martín de Diego & E. Cabello

  3. Escuela de Ingeniería Informática, Universidad Francisco de Vitoria, Carretera de Pozuelo a Majadahonda (M-515) km 1,800 Pozuelo de Alarcón, 28223, Madrid, Spain

    A. Serrano

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  1. T. Baidyk
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  2. E. Kussul
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  3. Z. Cruz Monterrosas
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  6. C. Conde
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  8. I. Martín de Diego
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  9. E. Cabello
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Correspondence to T. Baidyk.

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Baidyk, T., Kussul, E., Cruz Monterrosas, Z. et al. Face recognition using a permutation coding neural classifier. Neural Comput & Applic 27, 973–987 (2016). https://doi.org/10.1007/s00521-015-1913-0

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