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An Efficient Image Thresholding Method for Arabic Handwriting Recognition System
طريقة صورة مستوى العتبة كفوءة لنظام التعرف على الكتابة اليدوية للغة العربية

Authors: Alia Karim Abdul Hassan --- Mustafa Salam Kadhm
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 1 Part (B) Scientific Pages: 26-34
Publisher: University of Technology الجامعة التكنولوجية


Image preprocessinghas assumed an essential part ofhandwriting recognition system. The main primary stage of the image preprocessing is thresholding.Aneffectivethresholdingmethodis based on Fuzzy C-Means clustering (FCM) for Arabic Handwriting Recognition system (AHR) has been proposed in this paper. Since thresholding stage in AHR isimperative to reduce the dimensionality of image to remove the undesirableinformation (noise)then increase the processing speed of the AHR system. The algorithm is performing by feedingthe intensity of the pixel value of the image pixels into the FCM clustering algorithm. Exploratory results with artificial and real life images show thatthe proposed method gives better accuracy and good efficiency than the current methods.

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