Abstract
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.
| Original language | English |
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| Title of host publication | SECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2 |
| Editors | W Sui |
| Place of Publication | BELLINGHAM |
| Publisher | SPIE |
| Pages | 677-685 |
| Number of pages | 9 |
| ISBN (Print) | 0-8194-4656-4 |
| Publication status | Published - 2002 |
| Event | 2nd International Conference on Image and Graphics - HEFEI Duration: 16 Aug 2002 → 18 Aug 2002 |
Conference
| Conference | 2nd International Conference on Image and Graphics |
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| City | HEFEI |
| Period | 16/08/02 → 18/08/02 |
Keywords
- face recognition
- eigenface
- image pre-processing
- lighting