Enhancement and cleaning of handwritten data by using neural networks

被引：0
|
作者：
Hidalgo, JL [1 ]
España, S
Castro, MJ
Pérez, JA
机构：
[1] Univ Politecn Valencia, Dept Sistemas Informat & Computac, E-46071 Valencia, Spain
[2] Univ Politecn Valencia, Dept Informat Sistemas & Computadores, E-46071 Valencia, Spain
来源：
PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 1, PROCEEDINGS | 2005年 / 3522卷
关键词：
handwritten recognition; form processing; image enhancement; image denoising; artificial neural networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work, artificial neural networks are used to clean and enhance scanned images for a handwritten recognition task. Multilayer perceptrons are trained in a supervised way using a set of simulated noisy images together with the corresponding clean images for the desired output. The neural network acquires the function of a desired enhancing method. The performance of this method has been evaluated for both noisy artificial and natural images. Objective and subjective methods of evaluation have shown a superior performance of the proposed method over other conventional enhancing and cleaning filters.
引用
收藏
页码：376 / 383
页数：8
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