Title of article
The optical character recognition of Urdu-like cursive scripts
Author/Authors
Naz، نويسنده , , Saeeda and Hayat، نويسنده , , Khizar and Imran Razzak، نويسنده , , Muhammad and Waqas Anwar، نويسنده , , Muhammad and Madani، نويسنده , , Sajjad A. and Khan، نويسنده , , Samee U.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
20
From page
1229
To page
1248
Abstract
We survey the optical character recognition (OCR) literature with reference to the Urdu-like cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the emphasis being on the Nastaʹliq and Naskh scripts. Before detaining the OCR works, the peculiarities of the Urdu-like scripts are outlined, which are followed by the presentation of the available text image databases. For the sake of clarity, the various attempts are grouped into three parts, namely: (a) printed, (b) handwritten, and (c) online character recognition. Within each part, the works are analyzed par rapport a typical OCR pipeline with an emphasis on the preprocessing, segmentation, feature extraction, classification, and recognition.
Keywords
Optical character recognition , character , Ligature
Journal title
PATTERN RECOGNITION
Serial Year
2014
Journal title
PATTERN RECOGNITION
Record number
1736059
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