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

11/18/2011
by   B. V. Dhandra, et al.
0

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 free, fast, and showed encouraging results on varying font styles and sizes of Kannada numerals.

READ FULL TEXT
research
11/18/2011

Multi-font Multi-size Kannada Numeral Recognition Based on Structural Features

In this paper a fast and novel method is proposed for multi-font multi-s...
research
07/11/2023

Quantitative Comparison of Nearest Neighbor Search Algorithms

We compare the performance of three nearest neighbor search algorithms: ...
research
04/06/2019

Higher Accurate Recognition of Handwritten Pashto Letters through Zoning Feature by using K-Nearest Neighbour and Artificial Neural Network

This paper presents a recognition system for handwritten Pashto letters....
research
05/05/2020

Effect of the sEMG electrode (re)placement and feature set size on the hand movement recognition

Recording electrode array may not be exactly repositioned across repeate...
research
08/20/2019

Multi-hypothesis classifier

Accuracy is the most important parameter among few others which defines ...
research
02/05/2016

On Feature based Delaunay Triangulation for Palmprint Recognition

Authentication of individuals via palmprint based biometric system is be...

Please sign up or login with your details

Forgot password? Click here to reset