A Bottom Up Procedure for Text Line Segmentation of Latin Script
Computer Vision and Pattern Recognition
2017-10-10 v1
Abstract
In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.
Cite
@article{arxiv.1710.03027,
title = {A Bottom Up Procedure for Text Line Segmentation of Latin Script},
author = {Himanshu Jain and Archana Praveen Kumar},
journal= {arXiv preprint arXiv:1710.03027},
year = {2017}
}
Comments
Accepted and presented at the IEEE conference "International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2017"