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Face detection and emotion recognition based on 8-connected neighbors approach
Other Title(s)
اكتشاف الوجه و تمييز المشاعر بالاعتماد على المتجاورات الثمانية
Author
Source
Issue
Vol. 35, Issue 1A (30 Jun. 2017), pp.11-20, 10 p.
Publisher
University of Basrah College of Science
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Face detection and emotion recognition has become an important issue in many applications in computer visions communication and automatic access control system.
This paper proposes accurate and robust detection system for face and lip.
The algorithm recognizes the face from images and ignores the rest.
It depends on color of the skin and edges of the face.
Irrelevant regions are removed from images by applying Morphological connected transformations.
After face detection the system divides the face to objects and then detects the lips and recognizes them.
The algorithm depends on the connected components analysis without boundaries.
It also adopted the 8-connected neighbors approach.
A proposal work is used to recognize some of facial features.
Additionally, the algorithm compares the detected lip with set of templates to extract the facial emotion.
American Psychological Association (APA)
Nimr, Zaynab Najm. 2017. Face detection and emotion recognition based on 8-connected neighbors approach. Basrah Journal of Science،Vol. 35, no. 1A, pp.11-20.
https://search.emarefa.net/detail/BIM-840807
Modern Language Association (MLA)
Nimr, Zaynab Najm. Face detection and emotion recognition based on 8-connected neighbors approach. Basrah Journal of Science Vol. 35, no. 1A (2017), pp.11-20.
https://search.emarefa.net/detail/BIM-840807
American Medical Association (AMA)
Nimr, Zaynab Najm. Face detection and emotion recognition based on 8-connected neighbors approach. Basrah Journal of Science. 2017. Vol. 35, no. 1A, pp.11-20.
https://search.emarefa.net/detail/BIM-840807
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p.18-19
Record ID
BIM-840807