# New Radon Transform Based Texture Features of Handwritten Document

**Authors:** Rustam Latypov, Evgeni Stolov

arXiv: 1901.03068 · 2019-01-11

## TL;DR

This paper introduces novel Radon transform-based texture features for handwritten documents, enabling efficient coarse classification by capturing texture information effectively.

## Contribution

The paper proposes new texture features derived from the Radon transform specifically designed for handwritten document classification.

## Key findings

- Features are easy to compute.
- Features are suitable for coarse classification.
- Effective in capturing handwritten document textures.

## Abstract

In this paper, we present some new features describing the handwritten document as a texture. These features are based on the Radon transform. All values can be obtained easily and suit for the coarse classification of documents.

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Source: https://tomesphere.com/paper/1901.03068