A Single Euler Number Feature for Multi-font Multi-size Kannada Numeral Recognition

TL;DR

This paper introduces a fast, thinning-free method using a single Euler number feature for accurate recognition of multi-font, multi-size Kannada numerals, achieving 99% accuracy without size normalization.

Contribution

The paper presents a novel single Euler number feature approach that simplifies Kannada numeral recognition across different fonts and sizes without thinning or size normalization.

Findings

Achieved 99% classification accuracy.

Method is fast and robust to font variations.

No thinning or size normalization needed.

Abstract

In this paper a novel approach is proposed based on single Euler number feature which is free from thinning and size normalization for multi-font and multi-size Kannada numeral recognition system. A nearest neighbor classification is used for classification of Kannada numerals by considering the Euclidian distance. A total 1500 numeral images with different font sizes between (10..84) are tested for algorithm efficiency and the overall the classification accuracy is found to be 99.00% .The said method is thinning free, fast, and showed encouraging results on varying font styles and sizes of Kannada numerals.