Handwriting Arabic Character Recognition Using Haar Wavelet Compression

被引：0

作者：

Aburas, Abdurazzag Ali ^{[1
]}

Rehiel, Salem Ali ^{[1
]}

机构：

[1] Int Islamic Univ Malaysia, Kuala Lumpur 53100, Malaysia

来源：

ICIAS 2007: INTERNATIONAL CONFERENCE ON INTELLIGENT & ADVANCED SYSTEMS, VOLS 1-3, PROCEEDINGS | 2007年

关键词：

Arabic handwriting; features extraction; OCR; recognition errors; Wavelet Compression;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The typical Optical Character Recognition (OCR) systems, regardless the character's nature, are based mainly on three stages, preprocessing, features extraction and discrimination (recognizer). Each stage has its own problems and effects on the system efficiency such as time consuming and recognition errors. In order to avoid these difficulties this research paper presents new construction of OCR system for handwriting Arabic characters using a technique similar to that is used in wavelet compression. The proposed algorithm obtained promising results in terms of accuracy (reaches 97.9% for some letters at average 80%) as well as in terms of time consuming.

引用

页码：793 / 797

页数：5

共 20 条

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