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Facial features for template matching based face recognition

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Main Authors: Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Tan, Ching Seong, Dr.
Other Authors: chaity@utar.edu.my
Format: Article
Language:English
Published: Science Publications 2011
Subjects:
Facial features
Face detection
Iris detection
Mouth detection
Face recognition
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/15090
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spelling 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
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Facial features
Face detection
Iris detection
Mouth detection
Face recognition
spellingShingle 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
score 13.214268

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