A Generating and Detecting Face Morphing Using Texture Techniques
Biometric forms major and very effective role nowadays in many fields such as health, reliability, devices, phones, banking, airport security, and others because of its unique characteristics for each person that cannot be replicated in another person. Therefore, most security systems rely and veri...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Faculty of Computer Science and Mathematics, University of Kufa
2023-03-01
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| Series: | Journal of Kufa for Mathematics and Computer |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/11193 |
| _version_ | 1827879127490756608 |
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| author | iman saleem Bahja Khudair Shukr |
| author_facet | iman saleem Bahja Khudair Shukr |
| author_sort | iman saleem |
| collection | DOAJ |
| description |
Biometric forms major and very effective role nowadays in many fields such as health, reliability, devices, phones, banking, airport security, and others because of its unique characteristics for each person that cannot be replicated in another person. Therefore, most security systems rely and verify biometric properties. Airport security systems rely directly on facial recognition, but these systems may be exposed to attacks by the use of morphing faces in the passport image that allows multiple users to use the same passport. This paper presents a complete system consist of three stage, the first stage generating morphing faces based on edge detection to determine landmark and combine between landmarks to produce morphing. The second stage passing images on to the face recognition system that using Local Binary Pattern to features extraction, the final stage how to detect image bona fide or morph using texture techniques represented by each Local binary pattern and Gray-Level Co-Occurrence Matrix. With the use of the Wasserstein Distance measure, which has not previously been used in this field. The method gave effective results showing the mechanism of reducing morphing attack.
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| first_indexed | 2024-03-12T18:02:21Z |
| format | Article |
| id | doaj.art-4b7f42b9fb804757be2406fee4f1e5bd |
| institution | Directory Open Access Journal |
| issn | 2076-1171 2518-0010 |
| language | English |
| last_indexed | 2024-03-12T18:02:21Z |
| publishDate | 2023-03-01 |
| publisher | Faculty of Computer Science and Mathematics, University of Kufa |
| record_format | Article |
| series | Journal of Kufa for Mathematics and Computer |
| spelling | doaj.art-4b7f42b9fb804757be2406fee4f1e5bd2023-08-02T09:35:43ZengFaculty of Computer Science and Mathematics, University of KufaJournal of Kufa for Mathematics and Computer2076-11712518-00102023-03-0110110.31642/JoKMC/2018/100115A Generating and Detecting Face Morphing Using Texture Techniquesiman saleem0Bahja Khudair Shukr1University kufaUniversity of Kufa Biometric forms major and very effective role nowadays in many fields such as health, reliability, devices, phones, banking, airport security, and others because of its unique characteristics for each person that cannot be replicated in another person. Therefore, most security systems rely and verify biometric properties. Airport security systems rely directly on facial recognition, but these systems may be exposed to attacks by the use of morphing faces in the passport image that allows multiple users to use the same passport. This paper presents a complete system consist of three stage, the first stage generating morphing faces based on edge detection to determine landmark and combine between landmarks to produce morphing. The second stage passing images on to the face recognition system that using Local Binary Pattern to features extraction, the final stage how to detect image bona fide or morph using texture techniques represented by each Local binary pattern and Gray-Level Co-Occurrence Matrix. With the use of the Wasserstein Distance measure, which has not previously been used in this field. The method gave effective results showing the mechanism of reducing morphing attack. https://journal.uokufa.edu.iq/index.php/jkmc/article/view/11193Edge Detection Face recognitionWasserstein DistanceFace landmarkLocal Binary PatternGray-Level Co-Occurrence Matrix. |
| spellingShingle | iman saleem Bahja Khudair Shukr A Generating and Detecting Face Morphing Using Texture Techniques Journal of Kufa for Mathematics and Computer Edge Detection Face recognition Wasserstein Distance Face landmark Local Binary Pattern Gray-Level Co-Occurrence Matrix. |
| title | A Generating and Detecting Face Morphing Using Texture Techniques |
| title_full | A Generating and Detecting Face Morphing Using Texture Techniques |
| title_fullStr | A Generating and Detecting Face Morphing Using Texture Techniques |
| title_full_unstemmed | A Generating and Detecting Face Morphing Using Texture Techniques |
| title_short | A Generating and Detecting Face Morphing Using Texture Techniques |
| title_sort | generating and detecting face morphing using texture techniques |
| topic | Edge Detection Face recognition Wasserstein Distance Face landmark Local Binary Pattern Gray-Level Co-Occurrence Matrix. |
| url | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/11193 |
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