| dc.contributor.author | Mohamed Rizon, Mohamed Juhari | |
| dc.date.accessioned | 2008-09-15T07:06:01Z | |
| dc.date.available | 2008-09-15T07:06:01Z | |
| dc.date.issued | 2004 | |
| dc.identifier.citation | Journal of Engineering Research and Education, vol. 1, 2004, pages 25-34. | en_US |
| dc.identifier.issn | 1823-2981 | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/2205 | |
| dc.identifier.uri | http://jere.unimap.edu.my | en_US |
| dc.description | Link to publisher's homepage at http://jere.unimap.edu.my | en_US |
| dc.description.abstract | I propose a system to identify the unknown person in a face image 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 betlen the image and the face template of each person using normalized cross-correlation value. Recognition of a person is done using the highest degree of matching. The execution time of the recognition is 0.66 [seconds] with Pentium IV, 2.8GHz. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Kolej Universiti Kejuruteraan Utara Malaysia | en_US |
| dc.subject | Face recognition | en_US |
| dc.subject | Iris detection | en_US |
| dc.subject | Template matching | en_US |
| dc.subject | Computer vision | en_US |
| dc.subject | Image processing | en_US |
| dc.subject | Face perception -- Computer simulation | en_US |
| dc.subject | Human face recognition (Computer science) | en_US |
| dc.title | A new approach for Face Recognition based on Iris | en_US |
| dc.type | Article | en_US |
