Off-Line Arabic (Indian) Numbers Recognition Using Expert System

被引：0
|
作者：
Malallah, Fahad Layth [1 ]
Saeed, Mostafah Ghanem [1 ]
Aziz, Maysoon M. [2 ]
Arigbabu, Olasimbo Ayodeji [3 ]
Ahmad, Sharifah Mumtazah Syed [3 ]
机构：
[1] Cihan Univ, Fac Comp Sci, Sulaimaniya, Iraq
[2] Univ Mosul, Coll Comp Sci & Math, Dept Math, Mosul, Iraq
[3] Univ Putra Malaysia, Faulty Engn, Dept Comp & Commun Syst Engn, Serdang 43400, Malaysia
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2016年 / 7卷 / 04期
关键词：
Arabic numeral character recognition; Image Processing; Pattern Recognition; Feature Extraction; Object Segmentation; Expert System;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
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%.
引用
收藏
页码：397 / 406
页数：10
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