Handwritten and Machine printed OCR for Geez Numbers Using Artificial Neural Network
Computer Vision and Pattern Recognition
2019-11-19 v1 Machine Learning
Image and Video Processing
Abstract
Researches have been done on Ethiopic scripts. However studies excluded the Geez numbers from the studies because of different reasons. This paper presents offline handwritten and machine printed Geez number recognition using feed forward back propagation artificial neural network. On this study, different Geez image characters were collected from google image search and three persons are instructed to write the numbers using pencil. In total we have collected 560 numbers of characters. We have used 460 of the characters for training and 100 are used for testing. Accordingly we have achieved overall all classification ~89:88%
Keywords
Cite
@article{arxiv.1911.06845,
title = {Handwritten and Machine printed OCR for Geez Numbers Using Artificial Neural Network},
author = {Eyob Gebretinsae Beyene},
journal= {arXiv preprint arXiv:1911.06845},
year = {2019}
}
Comments
Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing World