A Robust Illumination Normalization Method Based on Mean Estimation for Face Recognition. (16th December 2013)

• Record Type: Journal Article
• Authors: Luo, Yong; Guan, Ye-Peng; Zhang, Chang-Qi
• Other Names: Bandera A. Academic Editor.; Ghita O. Academic Editor.; Leo M. Academic Editor.; Mattoccia S. Academic Editor.
• Is Part Of: ISRN machine vision. Volume 2013(2013)
• Publication Date: 2013-12-16
• Subjects: Computer vision -- Periodicals; Computer vision; Periodicals; Electronic journals; 006.37
• DOI: 10.1155/2013/516052
• Languages: English
• ISSNs: 2090-7796

Abstract

Abstract : An illumination normalization method for face recognition has been developed since it was difficult to control lighting conditions efficiently in the practical applications. Considering that the irradiation light is of little variation in a certain area, a mean estimation method is used to simulate the illumination component of a face image. Illumination component is removed by subtracting the mean estimation from the original image. In order to highlight face texture features and suppress the impact of adjacent domains, a ratio of the quotient image and its modulus mean value is obtained. The exponent result of the ratio is closely approximate to a relative reflection component. Since the gray value of facial organs is less than that of the facial skin, postprocessing is applied to the images in order to highlight facial texture for face recognition. Experiments show that the performance by using the proposed method is superior to that of state of the arts.