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Band-pass correlation filter for illumination- and noise-tolerant face recognition

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Abstract

The paper proposes a band-pass correlation filter in frequency domain for frontal face recognition task under both poor illumination and noisy condition. The band-pass nature of the proposed filter is achieved through combination of a modified high-pass filter and a continuous wavelet filter. An optimal range of scale is selected for this wavelet filter. The performance of the proposed band-pass correlation filter for face recognition tasks under variations in illumination and noise is evaluated and compared with other filters using standard databases (YaleB and PIE). High recognition accuracy is achieved in this proposed technique.

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Notes

  1. Corresponding values of s for BPCF in Eq. (17) are 0.19 for PIE and 0.3 for YaleB.

    Fig. 3
    figure 3

    Improvement in PSR value for authentic persons (for both PIE and YaleB) under poor lighting condition is observed with BPCF comparing to UMACE filter

    Full size image

  2. \(\mathrm {PSR}>10\) indicates authentic and \(\mathrm {PSR}<10\) indicates impostor.

    Fig. 5
    figure 5

    Correlation planes in response to noisy authentic image using different correlation filters. The point spread function of each filter is shown

    Full size image

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Authors and Affiliations

  1. Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India

    Pradipta K. Banerjee

  2. Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India

    Asit K. Datta

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  1. Pradipta K. Banerjee
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  2. Asit K. Datta
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Correspondence to Asit K. Datta.

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Banerjee, P.K., Datta, A.K. Band-pass correlation filter for illumination- and noise-tolerant face recognition. SIViP 11, 9–16 (2017). https://doi.org/10.1007/s11760-016-0882-9

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  • DOI: https://doi.org/10.1007/s11760-016-0882-9

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