Face recognition template in photo indexing: A proposal of hybrid Principal Component Analysis and triangular approach (PCAaTA)

L. G. Vu, Abeer Alsadoon, P. W C Prasad, A. Monem, A. Elchouemi

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

Many features of human faces play important roles in designing a method that can perform face recognition. There are many current studies in the area of face recognition, but most of them have limitations. The Principal Component Analysis (PCA) is one of the best facial recognition algorithms. However, there are some noises that could affect the accuracy of this algorithm. The PCA works well with the supports of preprocessing steps such as illumination reduction, background removal and color conversion. Some current solutions have showed result in using combination of PCA and preprocessing steps. This paper proposes a hybrid solution in face recognition using PCA as the main algorithm with the support of triangular approach in face normalization in order to enhance the accuracy. To evaluate, the proposed approach is tested and the results are compared with the current solutions.
Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages177-180
Number of pages4
Volume2016-April
ISBN (Electronic)9781467399197
DOIs
Publication statusPublished - 25 Apr 2016
Event2016 IEEE Southwest Symposium on Image Analysis and Interpretation: SSIAI 2016 - La Fonda on the Plaza, Santa Fe, United States
Duration: 06 Mar 201608 Mar 2016
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7454915 (Conference proceedings)

Conference

Conference2016 IEEE Southwest Symposium on Image Analysis and Interpretation
CountryUnited States
CitySanta Fe
Period06/03/1608/03/16
Internet address

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