標題: | Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification |
作者: | Chang, Pei-Chun Chen, Yong-Sheng Lee, Chang-Hsing Lien, Cheng-Chang Han, Chin-Chuan 資訊工程學系 Department of Computer Science |
關鍵字: | face recognition;histogram equalization;linear regression classification |
公開日期: | 1-Jan-2018 |
摘要: | Robust face recognition under illumination variations is a critical problem in a face recognition system, particularly for face recognition in the wild. In this paper, a face image preprocessing approach, called spatial expansion local histogram equalization (SELHE), is proposed to enhance face images due to illumination variations. First, a face image is divided into several non-overlapped blocks. Then, local histogram equalization with spatial expansion is proposed to enhance the contrast of each local image block. Local linear regression classification will then be used to recognize the enhanced image blocks. Experiments performed on the Yale B and Yale B extended databases have shown that the proposed approach yields promising recognition accuracy. |
URI: | http://hdl.handle.net/11536/150775 |
期刊: | PROCEEDINGS OF 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS) |
起始頁: | 249 |
結束頁: | 253 |
Appears in Collections: | Conferences Paper |