Illumination-Robust Face Recognition from a Single Image per Person Using Matrix Polar Decomposition

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概要

• 論文の詳細を見る

• In this paper, a novel illumination invariant face recognition algorithm is proposed for face recognition. This algorithm is composed of two phases. In the first phase, we reduce the effect of illumination changes using a nonlinear mapping of image intensities. Then, we modify the distribution of the coefficients of wavelet transform in certain sub-bands. In this step, the recognition performance is more important than image quality. In the second phase, we used the unitary factor of polar decomposition of enhanced image as a feature vector. In the recognition phase, the correlation-based nearest neighbor rule is applied for the matching. We have performed some experiments on several databases and have evaluated the proposed method in different aspects. Experimental results in recognition show that this approach provides a suitable representation for overcoming illumination effects.

• （社）電子情報通信学会の論文
• 2009-08-01

著者

• EZOJI Mehdi

  Electrical Engineering Department, Amirkabir University of Technology

• Ezoji Mehdi

  Electrical Engineering Department Amirkabir University Of Technology

• Faez Karim

  Electrical Engineering Dep. Amirkabir Univ. Of Technol.

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• Illumination-Robust Face Recognition from a Single Image per Person Using Matrix Polar Decomposition

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