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Frequency and Color Fusion for Face Verification

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Cross Disciplinary Biometric Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 37))

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Abstract

A face verification method is presented in this chapter by fusing the frequency and color features for improving the face recognition grand challenge performance. In particular, the hybrid color space RIQ is constructed, according to the discriminating properties among the individual component images. For each component image, the frequency features are extracted from the magnitude, the real and imaginary parts in the frequency domain of an image. Then, an improved Fisher model extracts discriminating features from the frequency data for similarity computation using a cosine similarity measure. Finally, the similarity scores from the three component images in the RIQ color space are fused by means of a weighted summation at the decision level for the overall similarity computation. To alleviate the effect of illumination variations, an illumination normalization procedure is applied to the R component image. Experiments on the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4 show the feasibility of the proposed frequency and color fusion method.

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Authors and Affiliations

  1. Eye-Com Corp., Reno, NV, 89503, USA

    Zhiming Liu

  2. New Jersey Institute of Technology, Newark, NJ, 07102, USA

    Chengjun Liu

Authors
  1. Zhiming Liu
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  2. Chengjun Liu
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Correspondence to Zhiming Liu .

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© 2012 Springer Berlin Heidelberg

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Liu, Z., Liu, C. (2012). Frequency and Color Fusion for Face Verification. In: Cross Disciplinary Biometric Systems. Intelligent Systems Reference Library, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28457-1_4

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  • DOI: https://doi.org/10.1007/978-3-642-28457-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28456-4

  • Online ISBN: 978-3-642-28457-1

  • eBook Packages: EngineeringEngineering (R0)

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