| dc.contributor.author | Mohamed Rizon, Mohamed Juhari | |
| dc.contributor.author | Phaklen Ehkan | |
| dc.contributor.author | Ahmad Nasir, Che Rosli | |
| dc.date.accessioned | 2009-08-28T02:23:43Z | |
| dc.date.available | 2009-08-28T02:23:43Z | |
| dc.date.issued | 2005-05-18 | |
| dc.identifier.citation | p. 157-159 | en_US |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7109 | |
| dc.description | Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 18th-19th May 2005 at Putra Palace Hotel, Kangar | en_US |
| dc.description.abstract | We propose a new technique to recognize the unknown person in grayscale face images for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and normalizes the position, scale and image-plane rotation of the face using iris positions. The algorithm measures the degree of matching between the image and the face template of each person using normalized crosscorrelation value. Recognition of a human face is done using the highest degree of matching. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Kolej Universiti Kejuruteraan Utara Malaysia | en_US |
| dc.relation.ispartofseries | Proceedings of the 1st National Conference on Electronic Design | en_US |
| dc.subject | Face recognition | en_US |
| dc.subject | Iris detection | en_US |
| dc.subject | Template matching | en_US |
| dc.subject | Recognition system | en_US |
| dc.subject | Detectors | en_US |
| dc.subject | Image processing | en_US |
| dc.subject | Human face recognition (Computer science) | en_US |
| dc.title | Recognition of human front face in Grayscale Images | en_US |
| dc.type | Working Paper | en_US |
