# An Image Analysis Approach to the Calligraphy of Books

arXiv: https://arxiv.org/abs/1708.07265 · HTML: https://mlsanity.com/paper/1708.07265/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Aug 2017.

## Built on by (most cited first, 1 of 1)

- [Text characterization based on recurrence networks](https://mlsanity.com/paper/2201.06665/) (2022)

## Abstract (arXiv)

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.