Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification

Pei Chun Chang, Yong-Sheng Chen, Chang Hsing Lee, Cheng Chang Lien, Chin Chuan Han

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

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.

原文English
主出版物標題2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面482-486
頁數5
ISBN(列印)9781538663509
DOIs
出版狀態Published - 11 9月 2018
事件3rd International Conference on Computer and Communication Systems, ICCCS 2018 - Nagoya, Japan
持續時間: 27 4月 201830 4月 2018

出版系列

名字2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018

Conference

Conference3rd International Conference on Computer and Communication Systems, ICCCS 2018
國家/地區Japan
城市Nagoya
期間27/04/1830/04/18

指紋

深入研究「Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification」主題。共同形成了獨特的指紋。

引用此