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영문 논문지

홈 홈 > 연구문헌 > 영문 논문지 > TIIS (한국인터넷정보학회)

TIIS (한국인터넷정보학회)

Current Result Document : 3,060 / 3,060

한글제목(Korean Title) Face Recognition based on Weber Symmetrical Local Graph Structure
영문제목(English Title) Face Recognition based on Weber Symmetrical Local Graph Structure
저자(Author) Jucheng Yang   Lingchao Zhang   Yuan Wang   Tingting Zhao   Wenhui Sun   Dong Sun Park              
원문수록처(Citation) VOL 12 NO. 04 PP. 1748 ~ 1759 (2018. 04)
한글내용
(Korean Abstract)
영문내용
(English 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 × 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.
키워드(Keyword) Face Recognition   Weber Symmetric Local Graph Structure   Local Graph Structure   Weber Local Descriptor   Local Binary Pattern                 
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