Face Retrieval Using Image Moments and Genetic Algorithm
Content-based image retrieval has been developed in numerous fields. This provides more active management and retrieval of images than the keyword-based method. So the content based image retrieval becomes one of the liveliest researches in the past few years.In a given set of objects, the retrieval...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2016-01-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_112595_7db21df8e2418751b794f78ad1293f75.pdf |
| _version_ | 1827358829736624128 |
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| author | Wathiq Najah Abdullah Yossra Hussain Ali |
| author_facet | Wathiq Najah Abdullah Yossra Hussain Ali |
| author_sort | Wathiq Najah Abdullah |
| collection | DOAJ |
| description | Content-based image retrieval has been developed in numerous fields. This provides more active management and retrieval of images than the keyword-based method. So the content based image retrieval becomes one of the liveliest researches in the past few years.In a given set of objects, the retrieval of information suggests solutions to search forthose in response to a particular description. The set of objects which can be considered are documents,images, videos, or sounds. Moments can be viewed as powerful image descriptors that capture global characteristics of an image. The magnitude of the moment coefficients is said to be invariant under geometrical transformations like rotation which makes them suitable for most of the recognition applications. This paper presents a method to retrieve a multi-view face from a large face database according to face image moments and genetic algorithm. The GA is preferred for its power and because it can be usedwithout any specificinformation of the domain. The experimental results concludes thatusing GA gives a good performance and it decreases the average search time to (56.44milliseconds) compared with (891.6 milliseconds) for traditional search. |
| first_indexed | 2024-03-08T06:16:50Z |
| format | Article |
| id | doaj.art-c68ceeaf68e94ed2886503679a4fbc34 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:16:50Z |
| publishDate | 2016-01-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-c68ceeaf68e94ed2886503679a4fbc342024-02-04T17:27:18ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582016-01-01341B16017110.30684/etj.34.1B.18112595Face Retrieval Using Image Moments and Genetic AlgorithmWathiq Najah AbdullahYossra Hussain AliContent-based image retrieval has been developed in numerous fields. This provides more active management and retrieval of images than the keyword-based method. So the content based image retrieval becomes one of the liveliest researches in the past few years.In a given set of objects, the retrieval of information suggests solutions to search forthose in response to a particular description. The set of objects which can be considered are documents,images, videos, or sounds. Moments can be viewed as powerful image descriptors that capture global characteristics of an image. The magnitude of the moment coefficients is said to be invariant under geometrical transformations like rotation which makes them suitable for most of the recognition applications. This paper presents a method to retrieve a multi-view face from a large face database according to face image moments and genetic algorithm. The GA is preferred for its power and because it can be usedwithout any specificinformation of the domain. The experimental results concludes thatusing GA gives a good performance and it decreases the average search time to (56.44milliseconds) compared with (891.6 milliseconds) for traditional search.https://etj.uotechnology.edu.iq/article_112595_7db21df8e2418751b794f78ad1293f75.pdfface retrievalgenetic algorithminvariants momentswavelet |
| spellingShingle | Wathiq Najah Abdullah Yossra Hussain Ali Face Retrieval Using Image Moments and Genetic Algorithm Engineering and Technology Journal face retrieval genetic algorithm invariants moments wavelet |
| title | Face Retrieval Using Image Moments and Genetic Algorithm |
| title_full | Face Retrieval Using Image Moments and Genetic Algorithm |
| title_fullStr | Face Retrieval Using Image Moments and Genetic Algorithm |
| title_full_unstemmed | Face Retrieval Using Image Moments and Genetic Algorithm |
| title_short | Face Retrieval Using Image Moments and Genetic Algorithm |
| title_sort | face retrieval using image moments and genetic algorithm |
| topic | face retrieval genetic algorithm invariants moments wavelet |
| url | https://etj.uotechnology.edu.iq/article_112595_7db21df8e2418751b794f78ad1293f75.pdf |
| work_keys_str_mv | AT wathiqnajahabdullah faceretrievalusingimagemomentsandgeneticalgorithm AT yossrahussainali faceretrievalusingimagemomentsandgeneticalgorithm |