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

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 obje...

Full description

Saved in:
Bibliographic Details
Published in:International journal of advanced computer science & applications 2016-01, Vol.7 (4)
Main Authors: Layth, Fahad, Ghanem, Mostafah, M., Maysoon, Ayodeji, Olasimbo, Mumtazah, Sharifah
Format: Article
Language:English
Subjects:
Digital imaging
Expert systems
Numbers
Object recognition
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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%.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2016.070453