KERTAS: dataset for automatic dating of ancient Arabic manuscripts
المؤلف | AdamK. |
المؤلف | BaigA. |
المؤلف | Al-MaadeedS. |
المؤلف | BouridaneA. |
المؤلف | El-MenshawyS. |
تاريخ الإتاحة | 2019-10-03T10:50:03Z |
تاريخ النشر | 2018 |
اسم المنشور | International Journal on Document Analysis and Recognition |
المصدر | Scopus |
الرقم المعياري الدولي للكتاب | 14332833 |
الملخص | The age of a historical manuscript can be an invaluable source of information for paleographers and historians. The process of automatic manuscript age detection has inherent complexities, which are compounded by the lack of suitable datasets for algorithm testing. This paper presents a dataset of historical handwritten Arabic manuscripts designed specifically to test state-of-the-art authorship and age detection algorithms. Qatar National Library has been the main source of manuscripts for this dataset while the remaining manuscripts are open source. The dataset consists of over 2000 images taken from various handwritten Arabic manuscripts spanning fourteen centuries. In addition, a sparse representation-based approach for dating historical Arabic manuscript is also proposed. There is lack of existing datasets that provide reliable writing date and author identity as metadata. KERTAS is a new dataset of historical documents that can help researchers, historians and paleographers to automatically date Arabic manuscripts more accurately and efficiently. |
راعي المشروع | FundingThispublicationwasmadepossiblebyNPRPGrant#NPRPNPRP7-442-1-082fromtheQatarNationalResearchFund(amemberofQatarFoundation).Thestatementsmadehereinaresolelytheresponsibilityoftheauthors. |
اللغة | en |
الناشر | Springer Verlag |
الموضوع | Classification Featureextraction Historicaldocumentsdataset Imageprocessing |
النوع | Article |
الصفحات | 283-290 |
رقم العدد | 4 |
رقم المجلد | 21 |
الملفات في هذه التسجيلة
الملفات | الحجم | الصيغة | العرض |
---|---|---|---|
لا توجد ملفات لها صلة بهذه التسجيلة. |
هذه التسجيلة تظهر في المجموعات التالية
-
علوم وهندسة الحاسب [2288 items ]
-
الإنسانيات [146 items ]