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
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;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2014 14th International Conference on
Print_ISBN :
978-1-4799-7937-0
DOI :
10.1109/ISDA.2014.7066288
