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Published in:
2014 | OriginalPaper | Chapter
A Face Recognition under Varying Illumination
Authors : Haodong Song, Xiaozhu Lin, Zhanlin Liu
Published in: Advances in Image and Graphics Technologies
Publisher: Springer Berlin Heidelberg
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Face recognition is one of the focus studies in biometrics technology. The recognition accuracy always changes drastically in different environment, especially when it is affected by the illumination. Retinex is a method which utilizes illumination invariant, but it ignores contributions of low frequency component to face recognition. In this research paper, we propose a face recognition method based on retinex and wavelet transformmation. First, illumination invariant and variant are generated by the retinex theory. Second, decompose the illumination component via wavelet transformation and set its low-frequency coefficients to zero. In doing so, the processed illumination component is obtained by inversing the transformation. In the end, a new image is acquired by restructuring the two components. The recognition experiment will demonstrate that the proposed method ensures good performance in illumination environment.