An Image Analysis Approach to the Calligraphy of Books
Computation and Language
2018-07-10 v1 Computer Vision and Pattern Recognition
Abstract
Text network analysis has received increasing attention as a consequence of its wide range of applications. In this work, we extend a previous work founded on the study of topological features of mesoscopic networks. Here, the geometrical properties of visualized networks are quantified in terms of several image analysis techniques and used as subsidies for authorship attribution. It was found that the visual features account for performance similar to that achieved by using topological measurements. In addition, the combination of these two types of features improved the performance.
Keywords
Cite
@article{arxiv.1708.07265,
title = {An Image Analysis Approach to the Calligraphy of Books},
author = {Henrique F. de Arruda and Vanessa Q. Marinho and Thales S. Lima and Diego R. Amancio and Luciano da F. Costa},
journal= {arXiv preprint arXiv:1708.07265},
year = {2018}
}