Fusion of several preprocessing approaches for improving the accuracy of face recognition systems in poor lighting conditions

被引：0

作者：

Hasanzadeh, Armin ^{[1
]}

Valizadeh, Morteza ^{[1
]}

Mirzapour, Sina ^{[2
]}

机构：

[1] Urmia Univ, Dept Elect Engn, Orumiyeh, Iran

[2] Urmia Univ, Dept Comp Engn, Orumiyeh, Iran

来源：

2017 IEEE 4TH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ENGINEERING AND INNOVATION (KBEI) | 2017年

关键词：

CLAHE (Contrast Limited Adaptive Histogram Equalization); DoG (Difference of Gaussian); LBPH (Local Binary Pattern Histogram); Face recognition; HE (Histogram Equalization); AHE (Adaptive Histogram Equalization); LOG;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

nowadays, face recognition is one of the most interesting and promising research area in the image processing field. At the moment, most of public places such as airports, stores, pilgrimage sites, etc. have regulatory equipment that good performance of them can affect the efficiency of controlling and providing security in those places. Although face recognition is one of the most popular biometric techniques for identifying a person from a digital image, there are challenges in the robust implementation of face recognition algorithm in poor illumination condition. In this paper a new preprocessing algorithm is proposed which enhances the quality of poor illuminated image and increases recognition rate in the face recognition systems.

引用

页码：695 / 699

页数：5

共 8 条

[1] Anila S., 2012, Global Journal of Computer Science and Technology, V12
[2] [Anonymous], 2015, INT J ADV RES COMPUT
[3] [Anonymous], 2011, IJECT
[4] Jaliya U. K., DATA MINING ADV COMP
[5] Rahim Md. Abdur, 2013, GLOBAL J COMPUTER SC, V13
[6] Setiawan E., 2015, Telkomnika, V13, P949, DOI [10.12928/telkomnika.v13i3.713, DOI 10.12928/TELKOMNIKA.V13I3.713]
[7] Stekas N., PAR DISTR PROC S WOR
[8] Wang S., 2012, J. Multimedia, V7

← 1 →