Face detection by using open CV’s Viola-Jones algorithm based on coding eyes
Other Title(s)
كشف الوجه باستخدام مكتبة برمجية مفتوحة للرؤية الحاسوبية في خوارزمية فيولا جونز على أساس شفرة العيون
Joint Authors
Abd al-Husayn, Abd al-Muhsin Jabir
Ali, Maytham Mahmud
Uqlah, Rahim Abd al-Sahib
Source
Issue
Vol. 58, Issue 2A (30 Jun. 2017), pp.735-745, 11 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
- Biometrics
- Mathematical models
- Algorithms
- Iris(Eyes)
- Encryption
- Signal processing
- Human face recognition(Computer science)
- Image processing
- Data
Abstract EN
Facial identification is one of the biometrical approaches implemented for identifying any facial image with the use of the basic properties of that face.
In this paper we proposes a new improved approach for face detection based on coding eyes by using Open CV's Viola-Jones algorithm which removes the falsely detected faces depending on coding eyes.
The Haar training module in Open CV is an implementation of the Viola-Jones framework, the training algorithm takes as input a training group of positive and negative images, and generates strong features in the format of an XML file which is capable of subsequently being utilized for detecting the wanted face and eyes in images, the integral image is used to speed up Haar-like features calculation for each image in (MIT, FERET) dataset and the adaboost algorithm is implemented to collect the weak classifiers and produce strong classifier.
By using classifier cascade process, the speed and accuracy of face detection system is increased .The proposed method has accuracy is about 98.97 % for detection faces.
American Psychological Association (APA)
Abd al-Husayn, Abd al-Muhsin Jabir& Uqlah, Rahim Abd al-Sahib& Ali, Maytham Mahmud. 2017. Face detection by using open CV’s Viola-Jones algorithm based on coding eyes. Iraqi Journal of Science،Vol. 58, no. 2A, pp.735-745.
https://search.emarefa.net/detail/BIM-775215
Modern Language Association (MLA)
Abd al-Husayn, Abd al-Muhsin Jabir…[et al.]. Face detection by using open CV’s Viola-Jones algorithm based on coding eyes. Iraqi Journal of Science Vol. 58, no. 2A (2017), pp.735-745.
https://search.emarefa.net/detail/BIM-775215
American Medical Association (AMA)
Abd al-Husayn, Abd al-Muhsin Jabir& Uqlah, Rahim Abd al-Sahib& Ali, Maytham Mahmud. Face detection by using open CV’s Viola-Jones algorithm based on coding eyes. Iraqi Journal of Science. 2017. Vol. 58, no. 2A, pp.735-745.
https://search.emarefa.net/detail/BIM-775215
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 745
Record ID
BIM-775215