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Optimised fisher discriminant analysis for recongnition of faces having black features.

A face recognition system is one of the most desirable biometric identification such as computerized access control, document control and database retrieval. Although, several researches have been done on face recognition, most (if not all) have made use of non-black faces or very few numbers of bla...

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Published: 2008
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/2153
042 |a dc 
720 |a Omidiora, E. O.  |e author 
720 |a Fakolujo, O. A.  |e author 
720 |a Ayeni, R. O.  |e author 
720 |a Adeyanju, I. A.  |e author 
260 |c 2008 
520 |a A face recognition system is one of the most desirable biometric identification such as computerized access control, document control and database retrieval. Although, several researches have been done on face recognition, most (if not all) have made use of non-black faces or very few numbers of black faces in their experiments. This study presents results of experiments based on black African faces (with and without tribal marks) using the optimized Fisher Discriminant Analysis. In the experiment, different sizes of gray scale images were used for recognition performance accuracy of between 88 and 99% were obtained. Also, taking into consideration was the rate of identifying an image using the same number of images to test the face recognition system. While, a completely robust real-time face recognition system is still under heavy investigation and development, the implemented system serves as an extendable foundation for future research. 
024 8 |a 1816-949X 
024 8 |a Journal of Engineering and Applied Science 3(7), pp. 524-531 
024 8 |a ui_art_omidiora_optimised_2008 
024 8 |a http://ir.library.ui.edu.ng/handle/123456789/2153 
653 |a face, 
653 |a optimized fisher discriminant analysis 
245 0 0 |a Optimised fisher discriminant analysis for recongnition of faces having black features.