DocumentCode
3581226
Title
HMM based approach for Online Arabic Handwriting recognition
Author
Abd Alshafy, Hozeifa Adam ; Mustafa, Mohamed Elhafiz
Author_Institution
Coll. of Eng., Karary Univ., Khartoum, Sudan
fYear
2014
Firstpage
211
Lastpage
215
Abstract
This paper presents a novel system approach for online Arabic handwriting recognition. The approach segments the word using new character boundaries detection based algorithm. Moreover it employs HMM-based classification method for the recognition. A dataset: Sudan University of Science and Technology Online Arabic Handwriting (SUSTOLAH) is used in testing the proposed approach. Promising experimental results of testing the approach with the dataset are provided.
Keywords
feature extraction; handwriting recognition; hidden Markov models; image classification; image segmentation; natural language processing; HMM-based approach; HMM-based classification method; SUSTOLAH; Sudan University of Science and Technology online arabic handwriting; character boundary detection-based algorithm; feature extraction; online Arabic handwriting recognition; Classification algorithms; Handwriting recognition; Hidden Markov models; MATLAB; Training; Dataset; Feature Extraction; Online handwriting; Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2014 14th International Conference on
Print_ISBN
978-1-4799-7937-0
Type
conf
DOI
10.1109/ISDA.2014.7066288
Filename
7066288
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