Digit recognition using decimal coding and artificial neural network
Joint Authors
Aznag, Khalid
al-Oirrak, Ahmad
Datsi, Tawfiq
Source
Issue
Vol. 49, Issue 1 (31 Jan. 2022), pp.1-17, 17 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-01-31
Country of Publication
Kuwait
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
Current artificial neural network image recognition techniques use all pixels of the image as input.
The aim objective of this work is to reduce the number of pixels by using input characteristics calculated from the initial image.
The method presented in this research consists to extract the characteristics of digit image by coding each row of the image by a decimal value, i.e.
passage of the binary representation into a decimal value, this method called decimal coding of rows.
The set of the decimal values calculated from the initial image is arranged in the vector and these values represent the inputs of the artificial neural network.
The proposed approach used in this work is based on a multilayer perceptron neural network for recognizing and predicting the handwritten digit from 0 to 9.
In this study, a dataset of 1797 samples was obtained from the digit database imported from the Scikit-learn library.
The backpropagation algorithm was used for the training dataset and feed-forward for the testing dataset.
Results obtained in this work show that the proposed approach achieves better performance in terms of recognition and execution time.
American Psychological Association (APA)
Datsi, Tawfiq& Aznag, Khalid& al-Oirrak, Ahmad. 2022. Digit recognition using decimal coding and artificial neural network. Kuwait Journal of Science،Vol. 49, no. 1, pp.1-17.
https://search.emarefa.net/detail/BIM-1500147
Modern Language Association (MLA)
Datsi, Tawfiq…[et al.]. Digit recognition using decimal coding and artificial neural network. Kuwait Journal of Science Vol. 49, no. 1 (Jan. 2022), pp.1-17.
https://search.emarefa.net/detail/BIM-1500147
American Medical Association (AMA)
Datsi, Tawfiq& Aznag, Khalid& al-Oirrak, Ahmad. Digit recognition using decimal coding and artificial neural network. Kuwait Journal of Science. 2022. Vol. 49, no. 1, pp.1-17.
https://search.emarefa.net/detail/BIM-1500147
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 13-17
Record ID
BIM-1500147