Genetic–based face retrieval using statistical features
Other Title(s)
استرجاع الوجوه اعتمادا على الخوارزمية الجينية باستعمال الخصائص الإحصائية
Joint Authors
Ali, Yusra Husayn
Abd Allah, Wathiq Najah
Source
Ibn al-Haitham Journal for Pure and Applied Science
Issue
Vol. 29, Issue 1 (30 Apr. 2016), pp.254-266, 13 p.
Publisher
University of Baghdad College of Education for Pure Science / Ibn al-Haitham
Publication Date
2016-04-30
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Content-based image retrieval has been keenly developed in numerous fields.
This provides more active management and retrieval of images than the keyword-based method.
So the content based image retrieval becomes one of the liveliest researches in the past few years.
In a given set of objects, the retrieval of information suggests solutions to search for those in response to a particular description.
The set of objects which can be considered are documents, images, videos, or sounds.
This paper proposes a method to retrieve a multi-view face from a large face database according to color and texture attributes.
Some of the features used for retrieval are color attributes such as the mean, the variance, and the color image's bitmap.
In addition, the energy, and the entropy which based on the gray level values in an image is too considered as the features.
In addition to statistical approaches, models of artificial intelligence produce a desirable methodology that enhances performance in information retrieval systems, and the genetic algorithm depicts one of them.
The GA is preferred for its power and because it can be used without any specific information of the domain.
The experimental results conclude that using GA gives a good performance and it decreases the average search time to (60.15 milliseconds) compared with (722.25milliseconds) for traditional search.
American Psychological Association (APA)
Abd Allah, Wathiq Najah& Ali, Yusra Husayn. 2016. Genetic–based face retrieval using statistical features. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 29, no. 1, pp.254-266.
https://search.emarefa.net/detail/BIM-692735
Modern Language Association (MLA)
Abd Allah, Wathiq Najah& Ali, Yusra Husayn. Genetic–based face retrieval using statistical features. Ibn al-Haitham Journal for Pure and Applied Science Vol. 29, no. 1 (2016), pp.254-266.
https://search.emarefa.net/detail/BIM-692735
American Medical Association (AMA)
Abd Allah, Wathiq Najah& Ali, Yusra Husayn. Genetic–based face retrieval using statistical features. Ibn al-Haitham Journal for Pure and Applied Science. 2016. Vol. 29, no. 1, pp.254-266.
https://search.emarefa.net/detail/BIM-692735
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 263-265
Record ID
BIM-692735