Hybrid modeling of an OffLine Arabic Handwriting Recognition System AHRS

Handwriting Recognition HR is the old dream of all those who need to enter data into a computer. In this article, we present a state of the art in the field of handwriting recognition by focusing primarily on Arabic handwritten script which we present an overview of the Offline Automatic Arabic Hand...

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Bibliographic Details
Published in2016 International Conference on Engineering & MIS (ICEMIS) pp. 1 - 8
Main Authors Meddeb, Ons, Maraoui, Mohsen, Aljawarneh, Shadi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Arabic Handwriting Recognition System
Data models
Feature extraction
Filtering algorithms
Handwriting recognition
Hidden Markov models
Image segmentation
LSTM-RNN
NLP
Pattern Recognition
Transforms
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Summary:Handwriting Recognition HR is the old dream of all those who need to enter data into a computer. In this article, we present a state of the art in the field of handwriting recognition by focusing primarily on Arabic handwritten script which we present an overview of the Offline Automatic Arabic Handwriting Recognition Systems AHRS and the techniques and strategies used. Then, to try to resolve the problems inherent in Arabic handwriting, within the general framework of Arabic Handwriting Recognition and to meet the need to test a new method of learning, we model a new Offline Arabic Handwriting Recognition System AHRS which we detail the architecture of our system and the contributions offered at each stage: preprocessing, segmentation, features extraction, classification and post-processing.
DOI:10.1109/ICEMIS.2016.7745319