Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/602
Title: HMM-Based Arabic handwritten cursive recognition system
Authors: Hajj Mohamad, Ramy Al
Mokbel, Chafic 
Affiliations: Department of Electrical Engineering 
Issue Date: 2016
Part of: Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)
Start page: 298
End page: 307
Conference: International Conference on Hybrid Intelligent Systems (16th : 2016 : Morocco) 
Abstract: 
For document analysis and recognition systems, script identification is considered as an important preprocessing step in the design of multi-scripts OCR system. In this paper, we propose a novel HMM based identification system to recognize on only one level the writing type (handwritten or machine-printed) and the script nature (Arabic or Latin) of the input image. The proposed system is based on Histogram of Oriented Gradient (HOG) features which have demonstrated an interesting properties for script characterization. Experiments have been conducted on word and line images collected from public databases and show promising results.
URI: https://scholarhub.balamand.edu.lb/handle/uob/602
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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