Rearranged descriptor approach based on radon transform to digits recognition

被引：0
|
作者：
Bechar H. [1 ]
Bessaid A. [2 ]
Messadi M. [2 ]
机构：
[1] Laboratory of Information and Communication Technologies and Systems, Faculty of Technology, University of Tlemcen
[2] Laboratory of Biomedical Engineering, Faculty of Technology, University of Tlemcen
来源：
EEA - Electrotehnica, Electronica, Automatica | 2021年 / 69卷 / 02期
关键词：
Character recognition; Descriptor; Multilayer perceptron neural network; Radon transform; shape image;
D O I：
10.46904/eea.21.69.2.11080010
中图分类号：
学科分类号：
摘要：
In this paper, the Radon transform method is used to generate a set of rotation invariant characteristics. Experiments of our approach were carried out on a database of ten decimal digits (0 to 9) in 24 different orientations from 0° to 360 ° by a step of 15 °. A multilayer perceptron neural network is used in the classification phase to test the effectiveness of our approach. The proposed approach is noise-effective and leads to a classification rate equal to 100 % for images without noise and a classification rate equal to 95.2 for images with noise. © 2021, Editura ELECTRA. All rights reserved.
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收藏
页码：83 / 91
页数：8
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