Abstract
Identification of individuals on the basis of facial features is the most natural method of distinguishing one individual from another. In this paper, we propose novel histogram and wavelet-histogram methods as means of identifying individuals in a mugshot application. We note that these methods are suitable for real time implementation and provide a high degree of tolerance towards facial expression changes.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 217-225 |
| Number of pages | 9 |
| Journal | Journal of Electronic Imaging |
| Volume | 9 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2000 |
| Externally published | Yes |
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Computer Science Applications
- Electrical and Electronic Engineering