A Novel Word Based Arabic Handwritten Recognition System Using SVM Classifier

Mahmoud Khalifa; Yang Bing-ru

doi:10.1007/978-3-642-20367-1_26

ScienceGate Book Chapters

BOOK-CHAPTER

A Novel Word Based Arabic Handwritten Recognition System Using SVM Classifier

Mahmoud Khalifa Yang Bing-ru

Year: 2011 Communications in computer and information science Pages: 163-171 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-20367-1_26

Get Full-Text PDF Get Analytical Report

Keywords:

Arabic Computer science Support vector machine Artificial intelligence Speech recognition Classifier (UML) Word (group theory) Pattern recognition (psychology) Natural language processing Mathematics Linguistics

Metrics

Cited By

1.53

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Vehicle License Plate Recognition

Physical Sciences → Engineering → Media Technology

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

A Novel Word Based Arabic Handwritten Recognition System Using SVM Classifier

Metrics

Citation History

Topics

Related Documents

Combination Classifier-Based Off-line Arabic Handwritten Word Recognition System

Word-based Arabic handwritten recognition using SVM classifier with a reject option

Word-based handwritten Arabic scripts recognition using DCT features and neural network classifier

A novel word recognition system in Persian/Arabic handwritten words using stacking ensemble classifier of deep learning

A new approach for off-line handwritten Arabic word recognition using KNN classifier