A Decision Tree based Font Style/Size Independent Kannada Printed Character Recognition System
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 136 | Views: 290

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014 | Popularity: 6.3 / 10


     

A Decision Tree based Font Style/Size Independent Kannada Printed Character Recognition System

N. Shobha Rani, Smitha Madhukar


Abstract: Segmentation is one of the most critical as well as important stage in optical character recognition system. Especially the segmentation of South Indian scripts has become one of the challenging aspects in order to provide a standard solution to South Indian OCRs. The segmentation of Kannada and Telugu scripts are considered to be still more serious researches due to the highest number of characters and increased variability, touching characters and overlapping characters in its native characters. This paper aims at providing an efficient touching line segmentation and classification algorithm in application with multiple projection profiles, bounding box analysis, Pearsons correlation features and decision tree classifier. The algorithm has provided improved accuracy in recognizing the complex or overlapping characters and proved to be efficient by obtaining around 97 % - 99 % of accuracy.


Keywords: Touching line segmentation, Decision tree classification, Pearsons correlation features, Character Recognition


Edition: Volume 3 Issue 7, July 2014


Pages: 190 - 194



Make Sure to Disable the Pop-Up Blocker of Web Browser


Text copied to Clipboard!
N. Shobha Rani, Smitha Madhukar, "A Decision Tree based Font Style/Size Independent Kannada Printed Character Recognition System", International Journal of Science and Research (IJSR), Volume 3 Issue 7, July 2014, pp. 190-194, https://www.ijsr.net/getabstract.php?paperid=2014881, DOI: https://www.doi.org/10.21275/2014881

Similar Articles

Downloads: 130 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 1, January 2016

Pages: 1842 - 1845

Comparative Study of K-NN, Naive Bayes and Decision Tree Classification Techniques

Sayali D. Jadhav, H. P. Channe

Share this Article

Downloads: 140 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 8, August 2016

Pages: 790 - 794

A Hierarchical Model to Classify Brain Cancer using GLCM

Vaishnavi. B, Uma. R

Share this Article

Downloads: 176 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 4, April 2016

Pages: 2094 - 2097

A Survey on Decision Tree Algorithms of Classification in Data Mining

Himani Sharma, Sunil Kumar

Share this Article
Top