期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：72
期号：2
出版社：Journal of Theoretical and Applied
摘要：In this paper, we propose an analytical approach for an off-line Arabic handwritten recognition system. The system is based on combining methods of decision fusion approach. The proposed approach introduces a methodology using the HMM-Toolkit (HTK) for a rapid implementation of our designed recognition system. First, a pre-processing phase is done toprepare the image of the introduced text (eliminate or reduce noise, thresholding, screening, detection of the inclination angle and the segmentation of the image of the text line). The obtained images are then used for features extraction with Sliding window technique. These features are modeled separately using Hidden Markov Models classifiers. The combination of the multiple HMMs classifiers was applied by using the different methods of decision fusion approach. The proposed system is evaluated using the IFN/ENIT database.
