Facial features for template matching based face recognition
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2011
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my.unimap-150902011-10-27T07:02:23Z Facial features for template matching based face recognition Chai, Tong Yuen Mohd Rizon, Mohamed Juhari, Prof. Dr. Woo, San San Tan, Ching Seong, Dr. chaity@utar.edu.my Facial features Face detection Iris detection Mouth detection Face recognition Link to publisher's homepage at http://thescipub.com Problem statement: Template matching had been a conventional method for object detection especially facial features detection at the early stage of face recognition research. The appearance of moustache and beard had affected the performance of features detection and face recognition system since ages ago. Approach: The proposed algorithm aimed to reduce the effect of beard and moustache for facial features detection and introduce facial features based template matching as the classification method. An automated algorithm for face recognition system based on detected facial features, iris and mouth had been developed. First, the face region was located using skin color information. Next, the algorithm computed the costs for each pair of iris candidates from intensity valleys as references for iris selection. As for mouth detection, color space method was used to allocate lips region, image processing methods to eliminate unwanted noises and corner detection technique to refine the exact location of mouth. Finally, template matching was used to classify faces based on the extracted features. Results: The proposed method had shown a better features detection rate (iris = 93.06%, mouth = 95.83%) than conventional method. Template matching had achieved a recognition rate of 86.11% with acceptable processing time (0.36 sec). Conclusion: The results indicate that the elimination of moustache and beard has not affected the performance of facial features detection. The proposed features based template matching has significantly improved the processing time of this method in face recognition research. 2011-10-27T07:02:23Z 2011-10-27T07:02:23Z 2009 Article American Journal of Applied Science, vol. 6 (11), 2009, pages 1897-1901 1546-9239 http://thescipub.com/html/10.3844/ajassp.2009.1897.1901 http://hdl.handle.net/123456789/15090 en Science Publications |
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Malaysia |
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Universiti Malaysia Perlis |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Facial features Face detection Iris detection Mouth detection Face recognition |
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Facial features Face detection Iris detection Mouth detection Face recognition Chai, Tong Yuen Mohd Rizon, Mohamed Juhari, Prof. Dr. Woo, San San Tan, Ching Seong, Dr. Facial features for template matching based face recognition |
| description |
Link to publisher's homepage at http://thescipub.com |
| author2 |
chaity@utar.edu.my |
| author_facet |
chaity@utar.edu.my Chai, Tong Yuen Mohd Rizon, Mohamed Juhari, Prof. Dr. Woo, San San Tan, Ching Seong, Dr. |
| format |
Article |
| author |
Chai, Tong Yuen Mohd Rizon, Mohamed Juhari, Prof. Dr. Woo, San San Tan, Ching Seong, Dr. |
| author_sort |
Chai, Tong Yuen |
| title |
Facial features for template matching based face recognition |
| title_short |
Facial features for template matching based face recognition |
| title_full |
Facial features for template matching based face recognition |
| title_fullStr |
Facial features for template matching based face recognition |
| title_full_unstemmed |
Facial features for template matching based face recognition |
| title_sort |
facial features for template matching based face recognition |
| publisher |
Science Publications |
| publishDate |
2011 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/15090 |
| _version_ |
1643790937207341056 |