| dc.contributor.author | Das, Sanjib | |
| dc.contributor.author | Chakraborty, Dulal | |
| dc.contributor.author | Hoque, A.H.M. Sajedul | |
| dc.contributor.author | Bhuiyan, Md. Al-Amin | |
| dc.date.accessioned | 2016-03-02T19:39:10Z | |
| dc.date.available | 2016-03-02T19:39:10Z | |
| dc.date.issued | 2015 | |
| dc.identifier.citation | Das, Sanjib; Chakraborty, Dulal; Hoque, A.H.M. Sajedul and Bhuiyan, Md. Al-Amin (2015). Face recognition employing principle component analyais. NUB Journal of Applied Sciences, 1(1), 33 - 37. | en_US |
| dc.identifier.issn | 2307-8065 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/844 | |
| dc.description.abstract | Face recognition is an important and challenging field in computer vision. This research present a system that is ca-pable of recognizing a person’s face by comparing facial structure to that of a known person which is achieved by us-ing frontal view facing photographs of individuals to render a two-dimensional representation of a human face. The system is based on Eigenface approach. Various symmetrization techniques are used for preprocessing the images in order to handle bad illumination and face alignment problem. Experimental results demonstrate that the implemented eigenface-based technique classified the faces with accuracy more than 90%. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Faculty of Science and Engineering, Northern University Bangladesh | en_US |
| dc.subject | Principle component analysis | en_US |
| dc.subject | Eigenvector | en_US |
| dc.subject | Eigenvalue | en_US |
| dc.subject | Eigenface | en_US |
| dc.subject | Face recognition | en_US |
| dc.title | Face recognition employing principle component analyais | en_US |
| dc.type | Article | en_US |
