Challenges in baseline detection of arabic script based languages
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Version 1 2019-11-26, 10:33Version 1 2019-11-26, 10:33
journal contribution
posted on 2014-01-01, 00:00 authored by S Naz, Imran RazzakImran Razzak, K Hayat, M W Anwar, S Z KhanIn this chapter, we present baseline detection challenges for Arabic script based languages and targeted Nastaliq and Naskh writing style. Baseline is an important step in the OCR as it directly affects the rest of the steps and increases the performance and efficiency of character segmentation and feature extraction in OCR process. Character recognition on Arabic script is relatively more difficult than Latin text due to the nature of Arabic script, which is cursive, context sensitive and different writing style. In this paper, we provide a comprehensive review of baseline detection methods for Urdu language. The aim of the chapter is to introduce the challenges during baseline detection in cursive script languages for Nastaliq and Naskh script. © 2014 Springer International Publishing Switzerland.
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Journal
Studies in computational intelligenceVolume
542Pagination
181 - 196Publisher
Springer VerlagLocation
Cham, SwitzerlandPublisher DOI
ISSN
1860-949XLanguage
engPublication classification
C1.1 Refereed article in a scholarly journalUsage metrics
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