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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

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.

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Official URL: http://dx.doi.org/10.1109/ISBAST.2014.7013097

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:feature based face detection, haar-like features, human face detection, neural networks
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:59098
Deposited By: Haliza Zainal
Deposited On:18 Jan 2017 01:50
Last Modified:16 Aug 2021 01:29

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