Face recognition based on binary template matching

被引：0

作者：

Song, Jiatao ^{[1
]}

Chen, Beijing ^{[1
]}

Chi, Zheru ^{[2
]}

Qiu, Xuena ^{[1
]}

Wang, Wei ^{[1
]}

机构：

[1] Ningbo Univ Technol, Coll Elect & Informat Engn, Ningbo 315016, Peoples R China

[2] Hong Kong Polytechnic Univ, Dept Electronic Informat Engn, Hong Kong, Peoples R China

来源：

ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF THEORETICAL AND METHODOLOGICAL ISSUES | 2007年 / 4681卷

关键词：

face recognition; binary template matching; binary edge map; illumination;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a novel face recognition method based on binary face edges is presented to deal with the illumination problem. The Binary Face Edge Map (BFEM) is extracted using the Locally Adaptive Threshold (LAT) algorithm. Based on BEFM, a new image similarity metric is proposed. Experimental results show that face recognition rates of 76.32% and 82.67% are achieved respectively on 798 AR images and 150 Yale images with changed lighting conditions and facial expression variations when one sample per subject is used as the target image. The proposed method takes less time for image matching and outperforms some existing face recognition approaches, especially in changed lighting conditions.

引用

页码：1131 / +

页数：3

共 16 条

[1]

[Anonymous], 1998, Technical Report 24

[2] Face recognition by independent component analysis [J].

Bartlett, MS ;

Movellan, JR ;

Sejnowski, TJ .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (06) :1450-1464

[3] Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection [J].

Belhumeur, PN ;

Hespanha, JP ;

Kriegman, DJ .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) :711-720

[4]

Bian Z., 2000, Pattern recognition

[5] FACE RECOGNITION - FEATURES VERSUS TEMPLATES [J].

BRUNELLI, R ;

POGGIO, T .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1993, 15 (10) :1042-1052

[6] Face recognition using independent component analysis and support vector machines [J].

Déniz, O ;

Castrillón, M ;

Hernández, M .

PATTERN RECOGNITION LETTERS, 2003, 24 (13) :2153-2157

[7] Line segment Hausdorff distance on face matching [J].

Gao, YS ;

Leung, MKH .

PATTERN RECOGNITION, 2002, 35 (02) :361-371

[8] From few to many: Illumination cone models for face recognition under variable lighting and pose [J].

Georghiades, AS ;

Belhumeur, PN ;

Kriegman, DJ .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (06) :643-660

[9] Recognition of human front faces using knowledge-based feature extraction and neuro-fuzzy algorithm [J].

Lee, SY ;

Ham, YK ;

Park, RH .

PATTERN RECOGNITION, 1996, 29 (11) :1863-1876

[10]

Savvides M, 2004, PROC CVPR IEEE, P834

← 1 2 →