Band-pass correlation filter for illumination- and noise-tolerant face recognition
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- 作者：Pradipta K. Banerjee ; Asit K. Datta
- 关键词：Band ; pass correlation filter ; Face recognition ; Noise tolerant ; Illumination tolerant
- 刊名：Signal, Image and Video Processing
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：11
- 期：1
- 页码：9-16
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Signal,Image and Speech Processing; Image Processing and Computer Vision; Computer Imaging, Vision, Pattern Recognition and Graphics; Multimedia Information Systems;
- 出版者：Springer London
- ISSN：1863-1711
- 卷排序：11
文摘
The paper proposes a band-pass correlation filter in frequency domain for frontal face recognition task under both poor illumination and noisy condition. The band-pass nature of the proposed filter is achieved through combination of a modified high-pass filter and a continuous wavelet filter. An optimal range of scale is selected for this wavelet filter. The performance of the proposed band-pass correlation filter for face recognition tasks under variations in illumination and noise is evaluated and compared with other filters using standard databases (YaleB and PIE). High recognition accuracy is achieved in this proposed technique.