Human identification based on face recognition system
Joint Authors
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 25, Issue 1 (28 Feb. 2021), pp.80-91, 12 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2021-02-28
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Due to, the great electronic development, which reinforced the need to define people's identities, different methods, and databases to identification people's identities have emerged.
In this paper, we compare the results of two texture analysis methods: Local Binary Pattern (LBP) and Local Ternary Pattern (LTP).
The comparison based on comparing the extracting facial texture features of 40 and 401 subjects taken from ORL and UFI databases respectively.
As well, the comparison has taken in the account using three distance measurements such as; Manhattan Distance (MD), Euclidean Distance (ED), and Cosine Distance (CD).
Where the maximum accuracy of the LBP method (99.23% ) is obtained with a Manhattan and ORL database, while the LTP method attained (98.76% ) using the same distance and database.
While, the facial database of UFI shows low quality, which is satisfied 75.98% and 73.82% recognition rates using LBP and LTP respectively with Manhattan distance.
American Psychological Association (APA)
Naji, Saba K.& Hamd, Muthana H.. 2021. Human identification based on face recognition system. Journal of Engineering and Sustainable Development،Vol. 25, no. 1, pp.80-91.
https://search.emarefa.net/detail/BIM-1271418
Modern Language Association (MLA)
Naji, Saba K.& Hamd, Muthana H.. Human identification based on face recognition system. Journal of Engineering and Sustainable Development Vol. 25, no. 1 (2021), pp.80-91.
https://search.emarefa.net/detail/BIM-1271418
American Medical Association (AMA)
Naji, Saba K.& Hamd, Muthana H.. Human identification based on face recognition system. Journal of Engineering and Sustainable Development. 2021. Vol. 25, no. 1, pp.80-91.
https://search.emarefa.net/detail/BIM-1271418
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1271418