An approach to offline Arabic Character recognition using neural networks

被引：0
|
作者：
Nawaz, SN [1 ]
Sarfraz, M [1 ]
Zidouri, A [1 ]
Al-Khatib, WG [1 ]
机构：
[1] King Fahd Univ Petr & Minerals, Dhahran 31261, Saudi Arabia
来源：
ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3 | 2003年
关键词：
arabic character recognition; artificial neural networks; segmentation; feature extaction;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Character recognition system can contribute tremendously towards the advancement of automation process and can be useful in many other applications such as Data Entry, Check Verification etc. This paper presents a technique for the automatic recognition of Arabic Characters. The technique is based on Neural Pattern Recognition Approach. The main features of the system are preprocessing of the text, segmentation of the text to individual characters, Feature extraction using centralized moments technique and recognition using RBF Network. The system is implemented in Java Programming Language under Windows Environment. The System is designed for a single font multi size character set.
引用
收藏
页码：1328 / 1331
页数：4
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