Survey of Offline Arabic Handwriting Word Recognition

被引：8

作者：

Ghadhban, Haitham Qutaiba ^{[1
]}

Othman, Muhaini ^{[1
]}

Samsudin, Noor Azah ^{[1
]}

Bin Ismail, Mohd Norasri ^{[1
]}

Hammoodi, Mustafa Raad ^{[1
]}

机构：

[1] Univ Tun Hussein Onn Malaysia, Software Engn Dept, Batu Pahat 86400, Johor, Malaysia

来源：

RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING (SCDM 2020) | 2020年 / 978卷

关键词：

Offline handwriting recognition; Arabic datasets; Feature extraction; Classifiers; SYSTEM; CHARACTER; NETWORKS; DROPOUT;

D O I：

10.1007/978-3-030-36056-6_34

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The field of Arabic handwriting recognition and translation is currently experiencing rapid growth in terms of research, which is evident in the coverage of major conferences and journals that specialise in the area of handwriting recognition. Against this backdrop, a significant increase has been observed in the classification and features techniques used, as compared to some years back. Researchers have put in more efforts geared towards building a variety of databases for Arabic handwriting recognition. This article aims to provide a comprehensive survey of advances in Arabic offline handwriting recognition. We have been provided details of availability Arabic databases with limitation. Further, we focus on techniques of feature extraction and different variety of classification approaches such as ANN, HMM, SVM that used in Arabic handwriting recognition.

引用

页码：358 / 372

页数：15

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