Bio-Metric Identification Utilizing Principal Component Analysis And Piece Coordinate Based Classifiers With Divided Approach
| Author(s) | : | K. Kanmani |
| Institution | : | Asst.Professor, Departmet of Computer Science Faculty of Science and Humanities, SRM University, Kattankulathur 603203. Chenna |
| Published In | : | Vol. 4, Issue 3 — March 2017 |
| Page No. | : | 145-149 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
A new approach of segmented face recognition which improves identification through better L2 Norm baseddistance classifier is proposed on this paper. The enrolled images are segmented into face blocks and face recognitionalgorithm is performed based on the blocks. By segmenting the image in to blocks we can identify and eliminate the problemsof local occlusion and distortion in face images. The improved distance classifier which is able to select the best matchedblocks and eliminates the affected blocks by providing appropriate weight for classifying each block depending upon theknowledge based on images simulated in particular condition
K. Kanmani, “Bio-Metric Identification Utilizing Principal Component Analysis And Piece Coordinate Based Classifiers With Divided Approach”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 3, pp. 145-149, March 2017.
