文章基本信息

标题：Off-Line Arabic (Indian) Numbers Recognition Using Expert System
本地全文：下载
作者：Fahad Layth Malallah ; Mostafah Ghanem Saeed ; Maysoon M. Aziz 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：4
DOI：10.14569/IJACSA.2016.070453
出版社：Science and Information Society (SAI)
摘要：This paper proposes an effective approach to automatic recognition of printed Arabic numerals which are extracted from digital images. First, the input image is normalized and pre-processed to an acceptable form. From the preprocessed image, components of the words are segmented into individual objects representing different numbers. Second, the numerical recognition is performed using an expert system based on a set of if-else rules, where each set of rules represents the categorization of each number. Finally, rigorous experiments are carried out on 226 random Arabic numerals selected from 40 images of Iraqi car plate numbers. The proposed method attained an accuracy of 97%.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Arabic numeral character recognition; Image Processing; Pattern Recognition; Feature Extraction; Object Segmentation; Expert System