New Radon Transform Based Texture Features of Handwritten Document

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.

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.