The optical character recognition of Urdu-like cursive scripts

被引：94

作者：

Naz, Saeeda ^{[1
]}

Hayat, Khizar ^{[1
,4
]}

Razzak, Muhammad Imran ^{[2
]}

Anwar, Muhammad Waqas ^{[1
]}

Madani, Sajjad A. ^{[1
]}

Khan, Samee U. ^{[3
]}

机构：

[1] COMSATS Inst Informat Technol, Abbottabad, Pakistan

[2] King Saud Abdulaziz Univ Hlth Sci, Riyadh, Saudi Arabia

[3] N Dakota State Univ, Fargo, ND 58108 USA

[4] Univ Nizwa, Birkat Al Mawz, Oman

来源：

PATTERN RECOGNITION | 2014年 / 47卷 / 03期

关键词：

Optical character recognition; Ligature; Character; SPOTTING BASED RETRIEVAL; FUZZY-LOGIC; ONLINE; DATABASE; OFFLINE; FEATURES;

D O I：

10.1016/j.patcog.2013.09.037

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 Nasta'liq 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. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：1229 / 1248

页数：20

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