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.
引用
收藏
页码：83 / 91
页数：8
相关论文
共 50 条
  • [21] Histogram of Radon Transform. A useful descriptor for shape retrieval
    Tabbone, S.
    Terrades, O. Ramos
    Barrat, S.
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 1877 - 1880
  • [22] DIFFERENTIAL RADON TRANSFORM FOR GAIT RECOGNITION
    Guha, Tanaya
    Ward, Rabab
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 834 - 837
  • [23] Image recognition using Radon transform
    Li, JH
    Pan, Q
    Zhang, HC
    Cui, PL
    2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 741 - 744
  • [24] Face Recognition Using Radon Transform
    Albu, Razvan-Daniel
    2015 IEEE 21ST INTERNATIONAL SYMPOSIUM FOR DESIGN AND TECHNOLOGY IN ELECTRONIC PACKAGING (SIITME), 2015, : 103 - 106
  • [25] A new feature extraction method based on Fourier Transform in handwriting digits recognition
    Liu, G
    Wu, D
    Zhang, HG
    Guo, J
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 1227 - 1231
  • [26] Pattern recognition by means of the Radon transform and the continuous wavelet transform
    Magli, E
    Olmo, G
    Lo Presti, L
    SIGNAL PROCESSING, 1999, 73 (03) : 277 - 289
  • [27] Iris Recognition Using Radon Transform and GLCM
    Bhagat, Kanchan S.
    Deshmukh, Ratnadeep R.
    Patil, Pramod B.
    Kirange, D. K.
    Waghmare, Swapnil
    2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2017, : 2257 - 2263
  • [28] Spelled Sentence Recognition Using Radon Transform
    Rokade, Rajeshree S.
    Doye, Dharmpal D.
    2014 SCIENCE AND INFORMATION CONFERENCE (SAI), 2014, : 351 - 354
  • [29] Handwritten Digits Recognition Approach Research based on Distance & Kernel PCA
    Yu, Naigong
    Jiao, Panna
    2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2012, : 689 - 693
  • [30] An improved hybrid learning model based handwritten digits recognition approach
    Xu Q.-Z.
    Yang L.-X.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2010, 32 (02): : 433 - 438
12345