Abstract
We have developed a very simple yet highly reliable face recognition method called VQ histogram method. A codevector referred (or matched) count histogram, which is obtained by Vector Quantization (VQ) processing of the facial image, is utilized as a very effective personal feature. By applying appropriate low pass filtering and VQ processing to a facial image, useful features for face recognition can be extracted. Experimental results show a recognition rate of 95.6% for 400 images of 40 persons (10 images per person), which contain variations in lighting, posing, and expressions, form publicly available ORL database. Equal Error Rate (ERR) of 2.6% is obtained for the verification experiment. By combining multiple low pass filtering procedures, the recognition rate increases up to 97% or higher.
| Original language | English |
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| Publication status | Published - 2002 Jan 1 |
| Event | International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: 2002 Sept 22 → 2002 Sept 25 |
Other
| Other | International Conference on Image Processing (ICIP'02) |
|---|---|
| Country/Territory | United States |
| City | Rochester, NY |
| Period | 02/9/22 → 02/9/25 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering