Arabic Handwriting Recognition Using Restored Stroke Chronology

Authors:
Abdelkarim Elbaati;Houcine Boubaker;Monji Kherallah;Abdellatif Ennaji;Haikal El Abed;Adel M. Alimi
Affiliations:
-;-;-;-;-;-
Venue:
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Year:
2009

Citing 0
Cited 3

Arabic handwriting recognition using structural and syntactic pattern attributes

Pattern Recognition
Offline arabic handwritten text recognition: A Survey

ACM Computing Surveys (CSUR)
Evaluation Approach of Arabic Character Recognition

International Journal of Computer Vision and Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a system of the off-line handwriting recognition. Our recognition system is based on temporal order restoration of the off-line trajectory. For this task we use a genetic algorithm (GA) to optimize the sequences of handwritten strokes. To benefit from dynamic informations we make a sampling operation by the consideration of trajectory curvatures. We proceed to calculate the curvilinear velocity signal and use the beta-elliptical modelling which is developed in on-line systems to calculate other characteristics. Our approach is validated by Hmm Tool Kit (HTK) recognition system using IFN/ENIT database.