Open AccessRecognition of Roman Characters using Geometric and Regional Features
Author(s) -
Deval Verma*,
Himanshu Agarwal,
A.K. Aggarwal
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5878.098319
Subject(s) - artificial intelligence , random forest , pattern recognition (psychology) , classifier (uml) , computer science , artificial neural network
This paper presents the Roman Characters Recognition in clean and noisy environment using geometrical and regional features. The geometrical and regional features are extracted from the standard dataset and are combined to achieve better recognition. The combination of these features is classified using neural network (NN) and random forest (RF) classifiers. In our experiments, we have achieved the recognition accuracy of 100% for some characters. However, the average recognition accuracy of 85.7% has been recorded by using NN and 88% has been recorded by using RF classifier, respectively