Paper Info
Title
Face Recognition based on Weber Symmetrical Local Graph Structure.
Abstract
Weber Local Descriptor (WLD) is a stable and effective feature extraction algorithm, which is based on Weber's Law. It calculates the differential excitation information and direction information, and then integrates them to get the feature information of the image. However, WLD only considers the center pixel and its contrast with its surrounding pixels when calculating the differential excitation information. As a result, the illumination variation is relatively sensitive, and the selection of the neighbor area is rather small. This may make the whole information is divided into small pieces, thus, it is difficult to be recognized. In order to overcome this problem, this paper proposes Weber Symmetrical Local Graph Structure (WSLGS), which constructs the graph structure based on the 5 x 5 neighborhood. Then the information obtained is regarded as the differential excitation information. Finally, we demonstrate the effectiveness of our proposed method on the database of ORL, JAFFE and our own built database, high-definition infrared faces. The experimental results show that WSLGS provides higher recognition rate and shorter image processing time compared with traditional algorithms.
Year
DOI
Venue
2018
10.3837/tiis.2018.04.019
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
Face Recognition,Weber Symmetric Local Graph Structure,Local Graph Structure,Weber Local Descriptor,Local Binary Pattern
Graph,Facial recognition system,Computer science,Theoretical computer science,Distributed computing
Journal
Volume
Issue
ISSN
12
4
1976-7277
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
JuCheng Yang1727.49
Lingchao Zhang200.68
Yuan Wang38234.72
tingting zhao4206.45
Wenhui Sun571.84
Dong Sun Park625215.67