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A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection

Face detection is an interesting area in research application of computer vision and pattern recognition, especially during the past several years. It is also plays a vital role in surveillance systems which is the first steps in face recognition systems. The high degree of variation in the appearan...

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Main Authors: Sharifara, Ali, Mohd. Rahim, Mohd. Shafry, Anisi, Yasaman
Format: Conference or Workshop Item
Published: 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/59098/
http://dx.doi.org/10.1109/ISBAST.2014.7013097
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id my.utm.59098
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spelling my.utm.590982021-08-16T01:29:53Z http://eprints.utm.my/id/eprint/59098/ A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection Sharifara, Ali Mohd. Rahim, Mohd. Shafry Anisi, Yasaman QA75 Electronic computers. Computer science Face detection is an interesting area in research application of computer vision and pattern recognition, especially during the past several years. It is also plays a vital role in surveillance systems which is the first steps in face recognition systems. The high degree of variation in the appearance of human faces causes the face detection as a complex problem in computer vision. The face detection systems aimed to decrease false positive rate and increase the accuracy of detecting face especially in complex background images. The main aim of this paper is to present an up-to-date review of face detection methods including feature-based, appearance-based, knowledge-based and template matching. Also, the study presents the effect of applying Haar-like features along with neural networks. We also conclude this paper with some discussions on how the work can be taken further. 2015-01-16 Conference or Workshop Item PeerReviewed Sharifara, Ali and Mohd. Rahim, Mohd. Shafry and Anisi, Yasaman (2015) A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection. In: 4th International Symposium on Biometrics and Security Technologies, ISBAST 2014, 26 August 2014 - 27 August 2014, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ISBAST.2014.7013097
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sharifara, Ali
Mohd. Rahim, Mohd. Shafry
Anisi, Yasaman
A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection
description Face detection is an interesting area in research application of computer vision and pattern recognition, especially during the past several years. It is also plays a vital role in surveillance systems which is the first steps in face recognition systems. The high degree of variation in the appearance of human faces causes the face detection as a complex problem in computer vision. The face detection systems aimed to decrease false positive rate and increase the accuracy of detecting face especially in complex background images. The main aim of this paper is to present an up-to-date review of face detection methods including feature-based, appearance-based, knowledge-based and template matching. Also, the study presents the effect of applying Haar-like features along with neural networks. We also conclude this paper with some discussions on how the work can be taken further.
format Conference or Workshop Item
author Sharifara, Ali
Mohd. Rahim, Mohd. Shafry
Anisi, Yasaman
author_facet Sharifara, Ali
Mohd. Rahim, Mohd. Shafry
Anisi, Yasaman
author_sort Sharifara, Ali
title A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection
title_short A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection
title_full A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection
title_fullStr A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection
title_full_unstemmed A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection
title_sort general review of human face detection including a study of neural networks and haar feature-based cascade classifier in face detection
publishDate 2015
url http://eprints.utm.my/id/eprint/59098/
http://dx.doi.org/10.1109/ISBAST.2014.7013097
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score 13.211869

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