NDLI: A comprehensive handwritten image corpus of isolated persian/arabic characters for OCR development and evaluation

Content Provider	IEEE Xplore Digital Library
Author	Khosravi, S. Razzazi, F. Rezaei, H. Sadigh, M.R.
Copyright Year	2007
Description	Author affiliation: Payasoft Co., Tehran (Khosravi, S.; Razzazi, F.; Rezaei, H.; Sadigh, M.R.)
Abstract	In this paper, specifications, design and implementation issues of a comprehensive corpus of capital isolated handwritten character images for Persian/Arabic languages are reported. The corpus has been designed for both OCR development and evaluation purposes. The corpus contains more than 10 million characters with appropriate image quality and is supported with rich standard ground truth formatted metadata. Evaluating the accuracy of the corpus has revealed that more that 99.9% of the images are correctly labeled and the quality of more than 99.5% of images are suitable for OCR development and evaluation. This corpus may be used as a standard benchmark for OCR in Persian/Arabic OCR system.
Starting Page	1
Ending Page	4
File Size	294579
Page Count	4
File Format	PDF
ISBN	9781424407781
DOI	10.1109/ISSPA.2007.4555567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-12
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical character recognition software Image databases XML Design methodology Data mining Filling Image quality Standards development Software libraries Robustness
Content Type	Text
Resource Type	Article

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