2021 | vol. 69 | nr. 2 | art. 10

Rearranged Descriptor Approach based on Radon Transform to Digits Recognition

Hassane BECHAR, Abdelhafid BESSAID, Mahammed MESSADI
Abstract
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.
Keywords: shape image, Radon transform, descriptor, character recognition, multilayer perceptron neural network
To cite this article: BECHAR, H., BESSAID, A., MESSADI, M., “Rearranged Descriptor Approach based on Radon Transform to Characters Recognition”, in Electrotehnica, Electronica, Automatica (EEA), 2021, vol. 69, no. 2, pp. 83-91, ISSN 1582-5175.
https://doi.org/10.46904/eea.21.69.2.11080010
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