الفهرس Only 14 pages are availabe for public view
 |  | from | 81 |  |  |
| | | from | 81 | | |
Abstract
Face recognition from side profile view, has recently received significant attention in the literature. This thesis presents an efficient technique for the fusion of face profile and ear biometrics. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) methods are tested. Active Appearance Models (AAM) are used for object detection (face profile or ear). We propose the use of Block-based Local Binary Pattern (LBP). Experimental results show that the proposed system can achieve about (97.98%) rank-1 identification. Detailed comparisons with other techniques are presented