Isolated Optical Character Recognition.

D. N. HAKRO; M. MEMON; S. A. AWAN; Z. A. BHUTTO; M. HAMEED

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Isolated Optical Character Recognition.

Author(s)

D. N. HAKRO Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan

M. MEMON Institute of Business Administration, University of Sindh, Jamshoro, Pakistan

S. A. AWAN Benazir Bhutto Shaheed University, Karachi, Sindh, Pakistan

Z. A. BHUTTO Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan

M. HAMEED Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan

Abstract

Optical Character Recognition (OCR) is considered the fastest method of input which facilitates the data entry as easy and versatile. Glyph images yield a character code in OCR process. Sindhi language is one of the oldest languages of the world and much of the valuable work has been done in Sindhi language and literature. The OCR for Sindhi language is a need of time as almost all of languages are enriched with OCRs. Sindhi OCR is one of the most difficult systems because of large number of characters, four dots and connecting nature of characters. The paper discusses the process of development of Sindhi OCR for isolated characters. The system is designed for recognizing isolated Sindhi characters. Different Sindhi alphabet images were used for experiments. The system recognizes isolated characters of Sindhi alphabet images into editable text.

Publication Details

Page(s) 839-844

DOI DOI not available

Published Journal: Sindh University Research Journal, Volume: 48, Issue: 4, Year: 2016

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