A new hybrid technique for face identification based on facial parts moments descriptors
Joint Authors
Hassan, Rihab F.
Hamandi, Shayma M.
Rahmah, Abd al-Munim Salih
Source
Engineering and Technology Journal
Issue
Vol. 39, Issue 1B (31 Jan. 2021), pp.117-128, 12 p.
Publisher
Publication Date
2021-01-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Robust facial feature extraction is an effective and important process forface recognition and identification system.
The facial features should beinvariant to scaling, translation, illumination and rotation, several featureextraction techniques may be used to increase the recognition accuracy.
This paper inspects three-moment invariants techniques and thendetermines how is influenced by the variation which may happen to thevarious shapes of the face (globally and locally) Globally means the wholeface shapes and locally means face part's shape (right eye, left eye, mouth, and nose).
The proposed technique is tested using CARL database images.
The proposal method of the new method that collects the robust features ofeach method is trained by a feed-forward neural network.
The result hasbeen improved and achieved an accuracy of 99.29%
American Psychological Association (APA)
Hamandi, Shayma M.& Rahmah, Abd al-Munim Salih& Hassan, Rihab F.. 2021. A new hybrid technique for face identification based on facial parts moments descriptors. Engineering and Technology Journal،Vol. 39, no. 1B, pp.117-128.
https://search.emarefa.net/detail/BIM-1282620
Modern Language Association (MLA)
Hamandi, Shayma M.…[et al.]. A new hybrid technique for face identification based on facial parts moments descriptors. Engineering and Technology Journal Vol. 39, no. 1B (2021), pp.117-128.
https://search.emarefa.net/detail/BIM-1282620
American Medical Association (AMA)
Hamandi, Shayma M.& Rahmah, Abd al-Munim Salih& Hassan, Rihab F.. A new hybrid technique for face identification based on facial parts moments descriptors. Engineering and Technology Journal. 2021. Vol. 39, no. 1B, pp.117-128.
https://search.emarefa.net/detail/BIM-1282620
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 127-128
Record ID
BIM-1282620