TY  - JOUR
T1  - Optimised Fisher Discriminant Analysis for Recognition of Faces Having Black Features
AU - , E.O. Omidiora AU - , A.O. Fakolujo AU - , R.O. Ayeni AU - , I.A. Adeyanju 
JO  - Journal of Engineering and Applied Sciences
VL  - 3
IS  - 7
SP  - 524
EP  - 531
PY  - 2008
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2008.524.531
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2008.524.531
KW  - Face
KW  -optimised fisher discriminant analysis
KW  -principal component analysis
KW  -linear discrminant analysis
AB  - 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.
ER  -