Evaluation of image pre-processing techniques for eigenface based face recognition

被引：18
|
作者：
Heseltine, T [1 ]
Pears, N [1 ]
Austin, J [1 ]
机构：
[1] Univ York, Adv Comp Architecture Grp, Dept Comp Sci, York YO1 5DD, N Yorkshire, England
来源：
SECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2 | 2002年 / 4875卷
关键词：
face recognition; eigenface; image pre-processing; lighting;
D O I：
10.1117/12.477052
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a range of image processing techniques as potential pre-processing steps, which attempt to improve the, performance of the eigenface method of face recognition. Verification tests are carried out by applying thresholds to gather false acceptance rate (FAR) and false rejection rate (FRR) results from a data set comprised of images that present typical difficulties when attempting recognition, such as strong variations in lighting direction and intensity, partially covered faces and changes in facial expression. Results are compared using the equal error rate (EER), which is the error rate when FAR is equal to FRR. We determine the most successful methods of image processing to be used with eigenface based face recognition, in application areas such as security, surveillance, data compression and archive searching.
引用
收藏
页码：677 / 685
页数：9
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