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
Link To Document :
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