Spatial Features for Multi-Font/Multi-Size Kannada Numerals and Vowels Recognition
Computer Vision and Pattern Recognition
2011-07-07 v1
Abstract
This paper presents multi-font/multi-size Kannada numerals and vowels recognition based on spatial features. Directional spatial features viz stroke density, stroke length and the number of stokes in an image are employed as potential features to characterize the printed Kannada numerals and vowels. Based on these features 1100 numerals and 1400 vowels are classified with Multi-class Support Vector Machines (SVM). The proposed system achieves the recognition accuracy as 98.45% and 90.64% for numerals and vowels respectively.
Keywords
Cite
@article{arxiv.1107.1081,
title = {Spatial Features for Multi-Font/Multi-Size Kannada Numerals and Vowels Recognition},
author = {B. V. Dhandra and Mallikarjun Hangarge and Gururaj Mukarambi},
journal= {arXiv preprint arXiv:1107.1081},
year = {2011}
}
Comments
4 pages, 4 Figures, 4 Tables, "International Conference on Communication, Computation, Control and Nanotechnology (2010)"