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A surveyof human face detection methods
Other Title(s)
مسح لطرق تحديد وجه الإنسان
Joint Authors
Shakir, Shayma Hamid
Abd Allah, Farah Qays
Abd al-Jabbar, Asmaa Sadiq
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 10, Issue 2 (31 Dec. 2018), pp.108-117, 10 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The aim of this research is to produce a critical survey on detecting and extracting human face with the features over the past 10-15 years.
Face Detection is one of the most common techniques in various future visual applications, such as teleconferencing, facial recognition systems, biometrics and human computer interface , not only because of the difficult nature of the face as an object, but also because of the myriad applications that require face detection application as a first step .
Finally, we offer a facial detection technology based on skin color segmentation as well as the facial features inside it.
The determination of the human face as elliptical area was achieved.
Meanwhile, several techniques were used such as enhancement, thresholding, edge detections and binarization techniques to achieve the aim of the suggested method.
The facial features are detected and extracted inside the elliptical area; these features can be categorized in three parts: Nose, Mouth and lips localization.
The features are detected and extracted in the human face based on image processing techniques
American Psychological Association (APA)
Abd Allah, Farah Qays& Shakir, Shayma Hamid& Abd al-Jabbar, Asmaa Sadiq. 2018. A surveyof human face detection methods. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 10, no. 2, pp.108-117.
https://search.emarefa.net/detail/BIM-839719
Modern Language Association (MLA)
Abd Allah, Farah Qays…[et al.]. A surveyof human face detection methods. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 10, no. 2 (2018), pp.108-117.
https://search.emarefa.net/detail/BIM-839719
American Medical Association (AMA)
Abd Allah, Farah Qays& Shakir, Shayma Hamid& Abd al-Jabbar, Asmaa Sadiq. A surveyof human face detection methods. al-Qadisiyah Journal for Computer Science and Mathematics. 2018. Vol. 10, no. 2, pp.108-117.
https://search.emarefa.net/detail/BIM-839719
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 114-116
Record ID
BIM-839719