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

Author

Khosravi, Sara ; Razzazi, Farbod ; Rezaei, Hamideh ; Sadigh, Mohammad Reza

Author_Institution

Payasoft Co., Tehran

fYear

2007

fDate

12-15 Feb. 2007

Firstpage

1

Lastpage

4

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.

Keywords

handwritten character recognition; meta data; natural languages; optical character recognition; visual databases; OCR development; Persian-Arabic languages; capital isolated handwritten character image corpus; image databases; metadata; Data mining; Design methodology; Filling; Image databases; Image quality; Optical character recognition software; Robustness; Software libraries; Standards development; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-0778-1

Electronic_ISBN

978-1-4244-1779-8

Type

conf

DOI

10.1109/ISSPA.2007.4555567

Filename

4555567