Face detection using Viola and Jones method and neural networks

Author

Da´san, Mohammad ; Alqudah, Amin ; Debeir, Olivier

Author_Institution

Comput. Eng. Dept., Yarmouk Univ., Irbid, Jordan

fYear

2015

fDate

17-19 May 2015

Firstpage

40

Lastpage

43

Abstract

Human face detection and recognition is a hot topic and an active area of research. It is common in several fields such as image processing and computer vision. It is the primary and the first step in wide range of applications such as face recognition, personal identification, identity verification, facial expression extraction, and gender classification [1]. In this paper, a multi stage model for face detection is integrated based on Viola and Jones algorithm, Gabor Filters, Principal Component Analysis, and Artificial Neural Networks (ANN). This model was trained and tested using CMU (Carnegie Mellon University) data set [2]. The model showed an enhanced performance in terms of face detection rate.

Keywords

Gabor filters; face recognition; neural nets; object detection; principal component analysis; ANN; CMU data set; Carnegie Mellon University data set; Gabor filters; Viola and Jones algorithm; Viola and Jones method; artificial neural networks; computer vision; face detection rate; face recognition; human face detection; image processing; multistage model; principal component analysis; Biological neural networks; Face; Face detection; Feature extraction; Gabor filters; Principal component analysis; Face Detection; Neural Networks; Viola and Jones;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technology Research (ICTRC), 2015 International Conference on

Conference_Location

Abu Dhabi

Type

conf

DOI

10.1109/ICTRC.2015.7156416

Filename

7156416