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Improved Fisher Face Approach for Human Recognition System using Facial Biometrics

ISSN 2223-4985
Journal from gdlhub / 2017-08-14 11:52:31
Oleh : Vijayshree More , Abhay Wagh , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file

Keyword : linear discriminant analysis, fisher face, fuzzy fisher face, face recognition
Subjek : Improved Fisher Face Approach for Human Recognition System using Facial Biometrics
Url : http://esjournals.org/journaloftechnology/archive/vol2no2/vol2no2_6.pdf
Sumber pengambilan dokumen : Internet

In this paper, a person is identified with face as a biometric feature using modified fisher face and fuzzy fisher face. The


premise of this paper is to introduce modified fisher face, fuzzy fisher face and include gradual level of assignment to class


being regarded as a membership grade which helps to improve recognition results. Performance of the said system is


compared with traditional fisher face methods using Fisher’s linear discriminant analysis. For all these methods of face


recognition an assumption was made about the same level of relevance of each face to the corresponding category. The


comprehensive experiments completed on ORL, and Yale face databases show improved recognition rates and reduced


sensitivity to variations between face images caused by changes in illumination and viewing directions.

Deskripsi Alternatif :

In this paper, a person is identified with face as a biometric feature using modified fisher face and fuzzy fisher face. The


premise of this paper is to introduce modified fisher face, fuzzy fisher face and include gradual level of assignment to class


being regarded as a membership grade which helps to improve recognition results. Performance of the said system is


compared with traditional fisher face methods using Fisher’s linear discriminant analysis. For all these methods of face


recognition an assumption was made about the same level of relevance of each face to the corresponding category. The


comprehensive experiments completed on ORL, and Yale face databases show improved recognition rates and reduced


sensitivity to variations between face images caused by changes in illumination and viewing directions.

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