A Face Recognition under Varying Illumination

摘要：

　　Face recognition is one of the focus studies in biometrics technology. The recognition accuracy always changes drastically in different environment, especially w hen 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.

关键词： face recognition Retinex illumination invariant and wavelet transformation

作者: Song Haodong Lin Xiaozhu Liu Zhanlin

作者单位: School of Information Engineer, Beijing Institute of Petro-chemical Technology,Beijing 102617, China School of Information Engineer, Beijing Institute of Petro-chemical Technology,Beijing 102617, China

会议类型: 国际会议

会议名称: 9th Conference on Image and Graphics Technologies and Applications(IGTA2014)(第九届图像图形技术与应用学术会议)

会议地点: 北京

会议语种:英文

页码: 125-133

在线出版日期: 2014-06-01（万方平台首次上网日期，不代表论文的发表时间）