![](/images/graphics-bg.png)
Features modelling in discrete and continuous hidden Markov models for handwritten Arabic words recognition
Joint Authors
Akdag, Herman
Seridi, Hamid
Bin Zinash, Amin
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 5 (30 Sep. 2017)10 p.
Publisher
Publication Date
2017-09-30
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The arab writing is originally cursive, difficult to segment and has a great variability.
To overcome these problems, we propose two holistic approaches for the recognition of the handwritten arabic words in a limited vocabulary based on the Hidden Markov Models (HMMs): discrete with wk-means and continuous.
In the suggested approach, each word of the lexicon is modelled by a discrete or continuous HMM.
After a series of pre-processing, the word image is segmented from right to left in succession frames of fixed or variable size in order to generate a sequence vector of statistical and structural parameters which will be submitted to two classifiers to identify the word.
To illustrate the efficiency of the proposed systems, significant experiments are carried out on IFN/ENIT benchmark database.
American Psychological Association (APA)
Bin Zinash, Amin& Seridi, Hamid& Akdag, Herman. 2017. Features modelling in discrete and continuous hidden Markov models for handwritten Arabic words recognition. The International Arab Journal of Information Technology،Vol. 14, no. 5.
https://search.emarefa.net/detail/BIM-852326
Modern Language Association (MLA)
Bin Zinash, Amin…[et al.]. Features modelling in discrete and continuous hidden Markov models for handwritten Arabic words recognition. The International Arab Journal of Information Technology Vol. 14, no. 5 (Sep. 2017).
https://search.emarefa.net/detail/BIM-852326
American Medical Association (AMA)
Bin Zinash, Amin& Seridi, Hamid& Akdag, Herman. Features modelling in discrete and continuous hidden Markov models for handwritten Arabic words recognition. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 5.
https://search.emarefa.net/detail/BIM-852326
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-852326