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Face description using electric virtual binary pattern (EVBP): application to face recognition

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Abstract

In this paper, we present a novel efficient face description method called Electric Virtual Binary Pattern (EVBP). The main idea of EVBP descriptor is to combine Local Binary Pattern (LBP) and our new Model based on the Virtual Electric Field. This model consider the neighborhood of each pixel as a grid of virtual electric charges that are electrostatically balanced. Then, we apply the LBP principle for this neighborhood to generate the new EVBP pixel representation. Based on the four trivial space directions, this representation is computed using the corresponding four electrical interactions. Moreover, the spatially enhanced Local Binary Pattern Histogram (eLBPH) algorithm is employed to extract features. Therefore, the proposed EVBP descriptor led to reduce the features vector size by 93.75%. Consequently, we moved from 255 bin-histograms for LBP to 16 bin-histograms for EVBP descriptor. Extensive experiments were carried on relevant databases have proved the effectiveness of the proposed approach.

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Authors and Affiliations

  1. LIIAN, Faculty of Sciences Dhar-Mahraz, Sidi Mohamed Ben Abdellah University, B.P 1796 Atlas-Fez, 30000, Fez, Morocco

    Abdellatif Dahmouni & Khalid Satori

  2. AICSMT, Polydisciplinary Faculty of Nador, Mohamed1 University, Nador, Morocco

    Karim El Moutaouakil

Authors
  1. Abdellatif Dahmouni
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  2. Karim El Moutaouakil
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  3. Khalid Satori
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Correspondence to Abdellatif Dahmouni.

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Dahmouni, A., El Moutaouakil, K. & Satori, K. Face description using electric virtual binary pattern (EVBP): application to face recognition. Multimed Tools Appl 77, 27471–27489 (2018). https://doi.org/10.1007/s11042-018-5932-6

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  • DOI: https://doi.org/10.1007/s11042-018-5932-6

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