@inproceedings{9fc59c289d0d42a7a18071f504b7a0b6,
title = "Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification",
abstract = "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.",
keywords = "face recognition, histogram equalization, linear regression classification",
author = "Chang, {Pei Chun} and Yong-Sheng Chen and Lee, {Chang Hsing} and Lien, {Cheng Chang} and Han, {Chin Chuan}",
year = "2018",
month = sep,
day = "11",
doi = "10.1109/CCOMS.2018.8463262",
language = "English",
isbn = "9781538663509",
series = "2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "482--486",
booktitle = "2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018",
address = "United States",
note = "3rd International Conference on Computer and Communication Systems, ICCCS 2018 ; Conference date: 27-04-2018 Through 30-04-2018",
}