KHATT: Handwritten Arabic Text
KHATT: Handwritten Arabic Text
| Contributor | Parvez, Mohammad Tanvir | |
| Contributor | Märgner, Volker | |
| Contributor | Ahmad, Irfan | |
| Contributor | Al-Khatib, Wasfi G. | |
| Contributor | Mahmoud, Sabri A. | |
| Contributor | Alshayeb, Mohammad | |
| Contributor | Fink, Gernot A. | |
| Date | 2015 | |
| dc.date.accessioned | 2021-07-25T18:12:49Z | |
| dc.date.available | 2021-07-25T18:12:49Z | |
| Identifier | LDC2015T23 | |
| Identifier | https://catalog.ldc.upenn.edu/LDC2015T23 | |
| Identifier | ISBN:%201-58563-736-X | |
| Identifier | ISLRN:%20866-063-772-506-2 | |
| Identifier | DOI:%2010.35111/vc52-tm53 | |
| dc.identifier.uri | https://linghub.org/handle/123456789/1090767 | |
| Description | *Introduction* KHATT: Handwritten Arabic Text was developed by King Fahd University of Petroleum & Minerals, Technical University of Dortmund and Braunschweig University of Technology. It is comprised of scanned Arabic handwriting from 1,000 distinct male and female writers representing diverse countries, age groups, handedness and education levels. Participants produced text on a topic of their choice in an unrestricted style. KHATT was designed to promote research in areas such as text recognition and writer identification. *Data* The majority of participants were natives of Saudi Arabia; the next largest group was from a collection of regional countries (Egypt, Jordan, Kuwait, Morocco, Palestine, Tunisia and Yemen). Most writers were between 16-25 years of age with high school or university qualifications. Scanned text is presented as tiff images scanned at 200, 300 and 600 DPI (dots per inch). The source images are four-page tiffs consisting of metadata about the writer, fixed paragraphs and free writing. Image files of isolated paragraphs or lines are also included. Ground-truth files are presented as plain-text Unicode. Data is divided into training, validation and test sets. *Samples* Please view this image sample and this text sample. *Updates* None at this time. | |
| Language | Arabic | |
| dc.language.iso | ara | |
| Publisher | Linguistic Data Consortium | |
| Publisher | https://www.ldc.upenn.edu | |
| Relation | https://catalog.ldc.upenn.edu/docs/LDC2015T23 | |
| Title | KHATT: Handwritten Arabic Text | |
| Type | Text | |
| Type | StillImage | |
| dcterms.accessRights | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| dcterms.bibliographicCitation | Mahmoud, Sabri A., et al. KHATT: Handwritten Arabic Text LDC2015T23. Web Download. Philadelphia: Linguistic Data Consortium, 2015 | |
| dcterms.contributor | Parvez, Mohammad Tanvir | |
| dcterms.contributor | Märgner, Volker | |
| dcterms.contributor | Ahmad, Irfan | |
| dcterms.contributor | Al-Khatib, Wasfi G. | |
| dcterms.contributor | Mahmoud, Sabri A. | |
| dcterms.contributor | Alshayeb, Mohammad | |
| dcterms.contributor | Fink, Gernot A. | |
| dcterms.date | 2015 | |
| dcterms.description | *Introduction* KHATT: Handwritten Arabic Text was developed by King Fahd University of Petroleum & Minerals, Technical University of Dortmund and Braunschweig University of Technology. It is comprised of scanned Arabic handwriting from 1,000 distinct male and female writers representing diverse countries, age groups, handedness and education levels. Participants produced text on a topic of their choice in an unrestricted style. KHATT was designed to promote research in areas such as text recognition and writer identification. *Data* The majority of participants were natives of Saudi Arabia; the next largest group was from a collection of regional countries (Egypt, Jordan, Kuwait, Morocco, Palestine, Tunisia and Yemen). Most writers were between 16-25 years of age with high school or university qualifications. Scanned text is presented as tiff images scanned at 200, 300 and 600 DPI (dots per inch). The source images are four-page tiffs consisting of metadata about the writer, fixed paragraphs and free writing. Image files of isolated paragraphs or lines are also included. Ground-truth files are presented as plain-text Unicode. Data is divided into training, validation and test sets. *Samples* Please view this image sample and this text sample. *Updates* None at this time. | |
| dcterms.extent | Corpus size: 28956648 KB | |
| dcterms.identifier | LDC2015T23 | |
| dcterms.identifier | https://catalog.ldc.upenn.edu/LDC2015T23 | |
| dcterms.identifier | ISBN:%201-58563-736-X | |
| dcterms.identifier | ISLRN:%20866-063-772-506-2 | |
| dcterms.identifier | DOI:%2010.35111/vc52-tm53 | |
| dcterms.issued | 2015-11-16 | |
| dcterms.language | Arabic | |
| dcterms.license | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| dcterms.medium | Distribution: Web Download | |
| dcterms.publisher | Linguistic Data Consortium | |
| dcterms.publisher | https://www.ldc.upenn.edu | |
| dcterms.relation | https://catalog.ldc.upenn.edu/docs/LDC2015T23 | |
| dcterms.rightsHolder | Portions © 2015 King Fahd University of Petroleum & Minerals, Trustees of the University of Pennsylvania | |
| dcterms.title | KHATT: Handwritten Arabic Text | |
| dcterms.type | Text | |
| dcterms.type | StillImage |
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This item appears in the following Collection(s)
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OLAC
Main data from the OLAC dataset