HUMAN IDENTIFICATION BASED ON FACE RECOGNITION SYSTEM

المؤلفون

  • Saba K. Naji Computer Engineering Department, Mustansiriyah University, Baghdad, Iraq مؤلف
  • Muthana H. Hamad Computer Engineering Department, Mustansiriyah University, Baghdad, Iraq مؤلف

DOI:

https://doi.org/10.31272/jeasd.25.1.7

الكلمات المفتاحية:

face recognition، local binary pattern، local ternary pattern، Manhattan distance، Euclidean distance، Cosine distance

الملخص

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.

التنزيلات

Key Dates

منشور

2021-01-01

إصدار

مجلد 25 عدد 1 (2021): Journal of Engineering and Sustainable Development

القسم

Articles

الرخصة

Creative Commons License

هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.

The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY)

كيفية الاقتباس

HUMAN IDENTIFICATION BASED ON FACE RECOGNITION SYSTEM. (2021). مجلة الهندسة والتنمية المستدامة, 25(1), 80-91. https://doi.org/10.31272/jeasd.25.1.7

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81-90 من 220

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