Volume 12, Number 2, December 2016 - DOI: http://dx.doi.org/10.21700/ijcis.2016.274

IJCIS

Computing and Information Sciences is a peer reviewed journal that is committed to timely publication of original research, surveying and tutorial contributions on the analysis and development of computing and information science. The journal is designed mainly to serve researchers and developers, dealing with information and computing. Papers that can provide both theoretical analysis, along with carefully designed computational experiments, are particularly welcome. The journal is published 2-3 times per year with distribution to librarians, universities, research centers, researchers in computing, mathematics, and information science. The journal maintains strict refereeing procedures through its editorial policies in order to publish papers of only the highest quality. The refereeing is done by anonymous Reviewers. Often, reviews take four months to six months to obtain, occasionally longer, and it takes an additional several months for the publication process.

DOI: http://dx.doi.org/10.21700/ijcis.2016.130

A Prototype Hybrid Algorithm to Detect Face Oval Based on Facial Expression Recogni

Mohamed A. Abdulhamed
Zainab Ibrahim*   email: zainabalfahad@uobasrah.edu.iq

Department of Computer Science, University of Basrah, Iraq

 

*Corresponding author

Received: 10 May 2016
Revised: 23 July 2016
Accepted: 10 August 2016
Published: 25 December 2016

Abstract: The facial expression recognition system (FERS) is a complex computer vision problem because it effects on occlusion, illumination, and imaging condition on the capture images. FERS consists of three stages in the basic structure. In this paper, we focus on the first stage because it is the complex one and need more calculations in comparing with other stages. The first stage in facial expression recognition called pre-processing step that includes acquiring image, face detection, and noise reduction. The core of this stage is to find the region of interest which represents the face region. A prototype algorithm of this step is based on combining two techniques which are the Viola Jones algorithm to detect face region, and integral projection to extract face oval. The proposed algorithm gives excellent results by examining it on two data base: Japanese Female Facial Expression (JAFFE) and Multimedia Understanding Group (MUG) facial expression database.

Keywords: Facial Expression Algorithm; Preprocessing; Face Oval; ROI; Detect Face Region.


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