A face recognition algorithm using a fusion method based on Adaboost Bidirectional 2DLDA

Wang, Shoujia, Li, Wenhui, Cheng, Xiaochun ORCID logoORCID: https://orcid.org/0000-0003-0371-9646, Wang, Ying and Jiang, Yuanyuan (2012) A face recognition algorithm using a fusion method based on Adaboost Bidirectional 2DLDA. Advances in Information Sciences and Service Sciences, 4 (23) . pp. 181-188. ISSN 1976-3700 [Article] (doi:10.4156/AISS.vol4.issue23.23)


A challenge for face recognition is variation, such as due to lighting or facial expression differences. To solve this problem, we fuses bidirectional two-dimensional linear discriminant analysis (2DLDA) feature by adaboost technique and propose a novel recognition method called AB2DLDA in this paper. This method can perform well with small number of samples. In this paper, firstly we analyze complementarity for vertical direction of 2DLDA and horizontal direction of E2DLDA. Then we use adaboost to design a classifier, which improves recognition performance by fusing 2DLDA and E2DLDA. Finally, our method is tested on AR face databases. Experimental results show that our method functions with good recognition accuracy and robustness.

Item Type: Article
Keywords (uncontrolled): Face Recognition, Adaboost, Bidirectional Two-Dimensional Linear Discriminant Analysis
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 28068
Useful Links:
Depositing User: Xiaochun Cheng
Date Deposited: 31 Oct 2019 09:54
Last Modified: 09 Sep 2021 10:35
URI: https://eprints.mdx.ac.uk/id/eprint/28068

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