DocumentCode
1635136
Title
Arabic and Latin Script Identification in Printed and Handwritten Types Based on Steerable Pyramid Features
Author
Benjelil, Mohamed ; Kanoun, Slim ; Mullot, RéMy ; Alimi, Adel M.
Author_Institution
REGIM-ENIS, Sfax, Tunisia
fYear
2009
Firstpage
591
Lastpage
595
Abstract
Arabic and Latin script identification in printed and handwritten nature present several difficulties because the Arabic (printed or handwritten) and the handwritten Latin scripts are cursive scripts of nature. To avoid all possible confusions which can be generated, we propose in this paper an accurate and suitable designed system for script identification at word level which is based on steerable pyramid transform. The features extracted from pyramid sub bands serve to classify the scripts on only one script among the scripts to identify. The encouraging and promising results obtained are presented in this research paper.
Keywords
document image processing; feature extraction; handwritten character recognition; image classification; natural languages; transforms; Arabic script identification; feature extraction; handwritten Latin script identification; printed document; steerable pyramid transform; Automation; Character recognition; Data mining; Feature extraction; Handwriting recognition; Image recognition; Image texture analysis; Optical character recognition software; Text analysis; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location
Barcelona
ISSN
1520-5363
Print_ISBN
978-1-4244-4500-4
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2009.287
Filename
5277581
Link To Document