Neural Networks for Lampung Characters Handwritten Recognition

被引：0
|
作者：
Fitriawan, Helmy [1 ]
Ariyanto [1 ]
Setiawan, Hendri [1 ]
机构：
[1] Univ Lampung, Fac Engn, Dept Elect Engn, Bandar Lampung, Indonesia
来源：
PROCEEDINGS OF 6TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION ENGINEERING (ICCCE 2016) | 2016年
关键词：
handritten recognition; Lampung characters; artificial neural networks; backpropagation;
D O I：
10.1109/ICCCE.2016.107
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Character recognition technique associates a symbolic identity with the image of a character. Different characters and languages have different structures and features. Lampung character and language are different with any other languages. We have developed Lampung handwritten character recognition using back-propagation neural networks. However since some Lampung characters have similar features, hierarchical network system was performed to optimize the training and recognition algorithm. The experiment results give reasonable results of the recognition rate for the training set. 86.5% of basic characters and more than 97% for characters with tone marks can be recognized.
引用
收藏
页码：485 / 488
页数：4
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