Proceedings of the International Multiconference on Computer Science and Information Technology 2010
DOI: 10.1109/imcsit.2010.5680047
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The development features of the face recognition system

Abstract: Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of documents, forensics systems and etc. We consider a range of most significant aspects of face identification system based on support vector machines in this paper. At first we propose improved face detector to get the region of interest for next face recognition. In paper the technique of face detection jointly image normalization is int… Show more

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Cited by 2 publications
(2 citation statements)
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“…Common linear algorithms are PCA, LDA and ICA [1] [7], [2]. Nonlinear techniques tend to addresses hidden nonlinear submanifold not addressed by linear methods [8], [9], [2]. Common examples of nonlinear techniques are the kernel methods [3] [10] and Support Vector Machine (SVM) [11].…”
Section: Introductionmentioning
confidence: 99%
“…Common linear algorithms are PCA, LDA and ICA [1] [7], [2]. Nonlinear techniques tend to addresses hidden nonlinear submanifold not addressed by linear methods [8], [9], [2]. Common examples of nonlinear techniques are the kernel methods [3] [10] and Support Vector Machine (SVM) [11].…”
Section: Introductionmentioning
confidence: 99%
“…The development of the robust recognition system is a very important area under discussion because of the wide range of applications in different spheres, such as video surveillance security systems, control of documents, forensics systems etc. [1]. In the last three decades face identification problem has emerged as an important research area with many possible applications that undoubtedly alleviate and assist safeguard our everyday lives in many aspects [2].…”
Section: Introductionmentioning
confidence: 99%