Detection of Face Direction by Implementing Face Edge Patterns
In this paper, a method for detecting the direction of a human face is developed; regardless of its age or sex. The method involves creating a set of five face patterns representing the front, up, down, left, and right directions of a face. The face patterns are produced by applying Canny’s edge de...
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| Format: | Article |
| Language: | Arabic |
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Mosul University
2009-07-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163800_e046d361d66a1582c5ead6f5f1b417ab.pdf |
| _version_ | 1818533415244267520 |
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| author | Jarjees Khidir |
| author_facet | Jarjees Khidir |
| author_sort | Jarjees Khidir |
| collection | DOAJ |
| description | In this paper, a method for detecting the direction of a human face is developed; regardless of its age or sex. The method involves creating a set of five face patterns representing the front, up, down, left, and right directions of a face. The face patterns are produced by applying Canny’s edge detection algorithm on some face files. The direction of the input face is found by first applying the above algorithm on the input file and comparing it with the five face patterns. The face pattern that gives minimum difference will represent the direction of the input face. Excellent results were reported when applied on images with relatively clear background and the head were centered at the image area. |
| first_indexed | 2024-12-11T17:58:23Z |
| format | Article |
| id | doaj.art-a64b1fc97b68462cb1990ad3a24fa478 |
| institution | Directory Open Access Journal |
| issn | 1815-4816 2311-7990 |
| language | Arabic |
| last_indexed | 2024-12-11T17:58:23Z |
| publishDate | 2009-07-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj.art-a64b1fc97b68462cb1990ad3a24fa4782022-12-22T00:56:00ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902009-07-01629710410.33899/csmj.2009.163800163800Detection of Face Direction by Implementing Face Edge PatternsJarjees Khidir0College of Science Education University of SalahaddinIn this paper, a method for detecting the direction of a human face is developed; regardless of its age or sex. The method involves creating a set of five face patterns representing the front, up, down, left, and right directions of a face. The face patterns are produced by applying Canny’s edge detection algorithm on some face files. The direction of the input face is found by first applying the above algorithm on the input file and comparing it with the five face patterns. The face pattern that gives minimum difference will represent the direction of the input face. Excellent results were reported when applied on images with relatively clear background and the head were centered at the image area.https://csmj.mosuljournals.com/article_163800_e046d361d66a1582c5ead6f5f1b417ab.pdfdetectionface directionface edge patterns |
| spellingShingle | Jarjees Khidir Detection of Face Direction by Implementing Face Edge Patterns Al-Rafidain Journal of Computer Sciences and Mathematics detection face direction face edge patterns |
| title | Detection of Face Direction by Implementing Face Edge Patterns |
| title_full | Detection of Face Direction by Implementing Face Edge Patterns |
| title_fullStr | Detection of Face Direction by Implementing Face Edge Patterns |
| title_full_unstemmed | Detection of Face Direction by Implementing Face Edge Patterns |
| title_short | Detection of Face Direction by Implementing Face Edge Patterns |
| title_sort | detection of face direction by implementing face edge patterns |
| topic | detection face direction face edge patterns |
| url | https://csmj.mosuljournals.com/article_163800_e046d361d66a1582c5ead6f5f1b417ab.pdf |
| work_keys_str_mv | AT jarjeeskhidir detectionoffacedirectionbyimplementingfaceedgepatterns |