دورية أكاديمية

ASM Based Synthesis of Handwritten Arabic Text Pages

التفاصيل البيبلوغرافية
العنوان: ASM Based Synthesis of Handwritten Arabic Text Pages
المؤلفون: Laslo Dinges, Ayoub Al-Hamadi, Moftah Elzobi, Sherif El-etriby, Ahmed Ghoneim
المصدر: The Scientific World Journal, Vol 2015 (2015)
بيانات النشر: Hindawi Limited, 2015.
سنة النشر: 2015
المجموعة: LCC:Technology
LCC:Medicine
LCC:Science
مصطلحات موضوعية: Technology, Medicine, Science
الوصف: Document analysis tasks, as text recognition, word spotting, or segmentation, are highly dependent on comprehensive and suitable databases for training and validation. However their generation is expensive in sense of labor and time. As a matter of fact, there is a lack of such databases, which complicates research and development. This is especially true for the case of Arabic handwriting recognition, that involves different preprocessing, segmentation, and recognition methods, which have individual demands on samples and ground truth. To bypass this problem, we present an efficient system that automatically turns Arabic Unicode text into synthetic images of handwritten documents and detailed ground truth. Active Shape Models (ASMs) based on 28046 online samples were used for character synthesis and statistical properties were extracted from the IESK-arDB database to simulate baselines and word slant or skew. In the synthesis step ASM based representations are composed to words and text pages, smoothed by B-Spline interpolation and rendered considering writing speed and pen characteristics. Finally, we use the synthetic data to validate a segmentation method. An experimental comparison with the IESK-arDB database encourages to train and test document analysis related methods on synthetic samples, whenever no sufficient natural ground truthed data is available.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2356-6140
1537-744X
العلاقة: https://doaj.org/toc/2356-6140Test; https://doaj.org/toc/1537-744XTest
DOI: 10.1155/2015/323575
الوصول الحر: https://doaj.org/article/e8e05ee9f1724abfb3c68c9f62f40532Test
رقم الانضمام: edsdoj.8e05ee9f1724abfb3c68c9f62f40532
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23566140
1537744X
DOI:10.1155/2015/323575