TY - GEN
T1 - Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification
AU - Chang, Pei Chun
AU - Chen, Yong-Sheng
AU - Lee, Chang Hsing
AU - Lien, Cheng Chang
AU - Han, Chin Chuan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/11
Y1 - 2018/9/11
N2 - 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.
AB - 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.
KW - face recognition
KW - histogram equalization
KW - linear regression classification
UR - http://www.scopus.com/inward/record.url?scp=85054855687&partnerID=8YFLogxK
U2 - 10.1109/CCOMS.2018.8463262
DO - 10.1109/CCOMS.2018.8463262
M3 - Conference contribution
AN - SCOPUS:85054855687
SN - 9781538663509
T3 - 2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
SP - 482
EP - 486
BT - 2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computer and Communication Systems, ICCCS 2018
Y2 - 27 April 2018 through 30 April 2018
ER -