Recognition of off-line handwritten devnagari characters using quadratic classifier

Authors:
N. Sharma;U. Pal;F. Kimura;S. Pal
Affiliations:
Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India;Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India;Graduate School of Engineering, Mie University, Mie, Japan;Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India
Venue:
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Year:
2006

Citing 6
Cited 6

Integration of Structural and Statistical Information for Unconstrained Handwritten Numeral Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Handwritten Numeral Character Classification Using Tolerant Rough Set

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Complete Tamil Optical Character Recognition System

DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Databases for Research on Recognition of Handwritten Characters of Indian Scripts

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Integrating knowledge sources in Devanagari text recognition system

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Fuzzy stroke analysis of Devnagari handwritten characters

WSEAS Transactions on Computers
Handwritten character recognition using elastic matching and PCA

Proceedings of the International Conference on Advances in Computing, Communication and Control
Handwritten character recognition of popular south Indian scripts

SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Handwritten kannada vowel character recognition using crack codes and fourier descriptors

MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Offline handwritten word recognition in Hindi

Proceeding of the workshop on Document Analysis and Recognition
A hybrid approach for automatic recognition of handwritten devanagari numerals

International Journal of Hybrid Intelligent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recognition of handwritten characters is a challenging task because of the variability involved in the writing styles of different individuals. In this paper we propose a quadratic classifier based scheme for the recognition of off-line Devnagari handwritten characters. The features used in the classifier are obtained from the directional chain code information of the contour points of the characters. The bounding box of a character is segmented into blocks and the chain code histogram is computed in each of the blocks. Based on the chain code histogram, here we have used 64 dimensional features for recognition. These chain code features are fed to the quadratic classifier for recognition. From the proposed scheme we obtained 98.86% and 80.36% recognition accuracy on Devnagari numerals and characters, respectively. We used five-fold cross-validation technique for result computation.