Recognition of Roman Characters using Geometric and Regional Features
Deval Verma1, Himanshu Agarwal2, A.K. Aggarwal3
1Deval Verma, Mathematics Department, Jaypee Institute of Information Technology, Noida, India.
2Himanshu Agarwal, Mathematics Department, Jaypee Institute of Information Technology, Noida, India.
3A.K. Aggarwal, Mathematics Department, Jaypee Institute of Information Technology, Noida, India.
Manuscript received on 12 August 2019. | Revised Manuscript received on 19 August 2019. | Manuscript published on 30 September 2019. | PP: 6924-6929 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5878098319/2019©BEIESP | DOI: 10.35940/ijrte.C5878.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: OCR, Geometrical Features, Regional Features, Neural Network, Random Forest, Recognition Accuracy.
Scope of the Article: Pattern Recognition