An Online Content Based Email Attachments Retrieval System
E-mail is one of the most popular programs used by most people today. As a result of the continuous daily use, thousands of messages are accumulated in the electronic box of most individuals, which make it difficult for them after a period of time to retrieve the attachments of these messages. Most...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sulaimani Polytechnic University
2017-06-01
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| Series: | Kurdistan Journal of Applied Research |
| Subjects: | |
| Online Access: | http://kjar.spu.edu.iq/index.php/kjar/article/view/41 |
| _version_ | 1819078300412149760 |
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| author | Noor Ghazi M Jameel Esraa Zeki Mohammed Loay Edwar George |
| author_facet | Noor Ghazi M Jameel Esraa Zeki Mohammed Loay Edwar George |
| author_sort | Noor Ghazi M Jameel |
| collection | DOAJ |
| description | E-mail is one of the most popular programs used by most people today. As a result of the continuous daily use, thousands of messages are accumulated in the electronic box of most individuals, which make it difficult for them after a period of time to retrieve the attachments of these messages. Most Email providers constantly improved their search technology, but till now there is something could not be done; i.e., searching inside attachments. Some email providers like Gmail has added searching words inside attachments for some file types (.pdf files, .doc documents, .ppt presentations) but for image files this feature not supported till now. However, E-mail providers and even modern researchers have not focused on retrieving the image attachments in the E- mail box. The paper was aimed to introduce a novel idea of using Content based Image Retrieval (CBIR) in E-mail application to retrieve images from email attachments based on entire contents. The work main phases are: feature extraction based on color features and connect to Email server to read Emails, the second phase is retrieving similar image attachments. The tests carried on email inbox contain 100 messages with 500 image attachments and gave good precision and recall rates When the threshold value is less than or equal to 0.4. |
| first_indexed | 2024-12-21T19:10:54Z |
| format | Article |
| id | doaj.art-022ca7148a704cbf9963b3aa953bbc08 |
| institution | Directory Open Access Journal |
| issn | 2411-7684 2411-7706 |
| language | English |
| last_indexed | 2024-12-21T19:10:54Z |
| publishDate | 2017-06-01 |
| publisher | Sulaimani Polytechnic University |
| record_format | Article |
| series | Kurdistan Journal of Applied Research |
| spelling | doaj.art-022ca7148a704cbf9963b3aa953bbc082022-12-21T18:53:12ZengSulaimani Polytechnic UniversityKurdistan Journal of Applied Research2411-76842411-77062017-06-0121687310.24017/science.2017.1.1241An Online Content Based Email Attachments Retrieval SystemNoor Ghazi M Jameel0Esraa Zeki Mohammed1Loay Edwar George2Technical College of Informatics, Sulaimani Polytechnic University, Sulaimani, IraqKirkuk Dept, State company for Internet Services, Kirkuk, IraqComputer Science Dept, University of Baghdad, Baghdad, IraqE-mail is one of the most popular programs used by most people today. As a result of the continuous daily use, thousands of messages are accumulated in the electronic box of most individuals, which make it difficult for them after a period of time to retrieve the attachments of these messages. Most Email providers constantly improved their search technology, but till now there is something could not be done; i.e., searching inside attachments. Some email providers like Gmail has added searching words inside attachments for some file types (.pdf files, .doc documents, .ppt presentations) but for image files this feature not supported till now. However, E-mail providers and even modern researchers have not focused on retrieving the image attachments in the E- mail box. The paper was aimed to introduce a novel idea of using Content based Image Retrieval (CBIR) in E-mail application to retrieve images from email attachments based on entire contents. The work main phases are: feature extraction based on color features and connect to Email server to read Emails, the second phase is retrieving similar image attachments. The tests carried on email inbox contain 100 messages with 500 image attachments and gave good precision and recall rates When the threshold value is less than or equal to 0.4.http://kjar.spu.edu.iq/index.php/kjar/article/view/41CBIR, Color Features, Email Attachments, Email Retrieval System, Image Retrieval, Similarity Measure |
| spellingShingle | Noor Ghazi M Jameel Esraa Zeki Mohammed Loay Edwar George An Online Content Based Email Attachments Retrieval System Kurdistan Journal of Applied Research CBIR, Color Features, Email Attachments, Email Retrieval System, Image Retrieval, Similarity Measure |
| title | An Online Content Based Email Attachments Retrieval System |
| title_full | An Online Content Based Email Attachments Retrieval System |
| title_fullStr | An Online Content Based Email Attachments Retrieval System |
| title_full_unstemmed | An Online Content Based Email Attachments Retrieval System |
| title_short | An Online Content Based Email Attachments Retrieval System |
| title_sort | online content based email attachments retrieval system |
| topic | CBIR, Color Features, Email Attachments, Email Retrieval System, Image Retrieval, Similarity Measure |
| url | http://kjar.spu.edu.iq/index.php/kjar/article/view/41 |
| work_keys_str_mv | AT noorghazimjameel anonlinecontentbasedemailattachmentsretrievalsystem AT esraazekimohammed anonlinecontentbasedemailattachmentsretrievalsystem AT loayedwargeorge anonlinecontentbasedemailattachmentsretrievalsystem AT noorghazimjameel onlinecontentbasedemailattachmentsretrievalsystem AT esraazekimohammed onlinecontentbasedemailattachmentsretrievalsystem AT loayedwargeorge onlinecontentbasedemailattachmentsretrievalsystem |