| dc.contributor.author | Chai, Tong Yuen | |
| dc.contributor.author | Mohd Rizon, Mohamed Juhari, Prof. Dr. | |
| dc.contributor.author | Woo, San San | |
| dc.contributor.author | Sugisaka, M. | |
| dc.date.accessioned | 2011-10-20T04:07:48Z | |
| dc.date.available | 2011-10-20T04:07:48Z | |
| dc.date.issued | 2008-02-20 | |
| dc.identifier.citation | p. 230-234 | en_US |
| dc.identifier.isbn | 978-960-6766-44-2 | |
| dc.identifier.issn | 1790-5117 | |
| dc.identifier.uri | http://www.wseas.us/e-library/conferences/2008/uk/ISPRA/ispra-38.pdf | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/14691 | |
| dc.description | Link to publisher's homepage at http://www.wseas.org/ | en_US |
| dc.description.abstract | An algorithm to automatically detect facial features from color images has been developed. First,
face region is located using skin-color information. Then, the iris candidates are extracted from the intensity
valleys created from the detected face. Next, the costs for each pair of iris candidates are computed to
determine the real pair of irises. Mouth region and corners are detected using color space method, image
processing and corners detection techniques. This algorithm has been tested to specifically reduce the effects
of beard, moustache, hairstyle and facial expression in automated facial features detection. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | World Scientific and Engineering Academy and Society (WSEAS) | en_US |
| dc.relation.ispartofseries | Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA '08) | en_US |
| dc.subject | Face recognition | en_US |
| dc.subject | Iris detection | en_US |
| dc.subject | Mouth detection | en_US |
| dc.subject | Facial features | en_US |
| dc.title | Automatic detection of face and facial features | en_US |
| dc.type | Working Paper | en_US |
| dc.contributor.url | chaitongyuen@gmail.com | en_US |
| dc.contributor.url | rizon@unimap.edu.my | en_US |
