Improved Eigenface Recognition Using Hierarchal Technique
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Authors
El-Sayed, Ahmed
Mahmood, Ausif
Abualkibash, Munther Hamad
Issue Date
2012
Type
Presentation
Language
Keywords
Faculty research day
Alternative Title
Abstract
Description
Face recognition is one of the important fields of computer vision and pattern recognition because of its applications in security and intelligence systems. In this paper we improve one of the famous algorithms used for face recognition which is Eigenface technique. The method of improvement used in this paper is the Hierarchical technique which means that input image will be applied into different levels of recognition instead of only one level as used in the regular Eigenface method. The hierarchical technique developed in this paper increases the detection rate in the case of large benchmark image database by more than 30% as compared to the original method.
Citation
Poster 79