Multi-layer perceptron network for English character recognition

Bello, Musa Ibrahim and Adamu, Iliyasu and Watsilla, Hilary and Ismail Umar, Kabir (2017) Multi-layer perceptron network for English character recognition. American Journal of Engineering Research (AJER), 6 (6). pp. 86-92. ISSN 2320-0847 (https://www.ajer.org/papers/v6(06)/L06068692.pdf)

[thumbnail of Bello-etal-AJER-2017-Multi-layer-perceptron-network-for-English-character-recognition]
Preview
 Text. Filename: Bello_etal_AJER_2017_Multi_layer_perceptron_network_for_English_character_recognition.pdf
Final Published Version
Download (514kB)| Preview

Abstract

The recognition of English language character is an interesting area in recognition of pattern. Within this article, effort has been made to design a program that will recognize English characters with a multilayer perceptron having only a single hidden layer. Fourier descriptors and boundary trace are features extracted off the English characters. The shape of each character is analyzed and used to identify and compare its features that differentiates each character. Determining numerals of hidden layer neurons was analyzed in other to attain great back propagation performance in English language character recognition. Training of the network was done with 78 samples collection of English characters and was tested on 78 samples different from the training samples which indicated that Fourier description together with back propagation provides decent accuracy of recognition at 95% for characters having a smaller amount of classification and training period.

ORCID iDs

Bello, Musa Ibrahim ORCID logoORCID: https://orcid.org/0009-0004-3968-1402, Adamu, Iliyasu, Watsilla, Hilary and Ismail Umar, Kabir;
CORE (COnnecting REpositories)