Noise Removal on Batak Toba Handwritten Script using Artificial Neural Network

被引：0
|
作者：
Pasaribu, Novie Theresia Br [1 ]
Hasugian, M. Jimmy [1 ]
机构：
[1] Maranatha Christian Univ, Dept Elect Engn, Bandung, Indonesia
来源：
2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, COMPUTER, AND ELECTRICAL ENGINEERING (ICITACEE) | 2016年
关键词：
Batak Toba handwritten; artificial texture; image cleaning; ANN;
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：
This paper proposes the use of Artificial Neural Network (ANN) to remove background noise of Batak Toba handwritten script. Several artificial backgrounds are fused with the original script to reconstruct visual perception of manuscript text background. Experiments have been conducted on offline handwritten script cleaning process and show superior impact compared to threshold method and Gaussian filter. This is a seminal work on ancient Batak Toba manuscript recognition system as the primary research theme.
引用
收藏
页码：373 / 376
页数：4
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