Online Handwritten Kannada Word Recognizer with Unrestricted Vocabulary

Kunwar, Rituraj and Ramakrishnan, AG and Shashikiran, K (2011) Online Handwritten Kannada Word Recognizer with Unrestricted Vocabulary. In: 2010 International Conference on Frontiers in Handwriting Recognition (ICFHR), 16-18 Nov. 2010, Kolkata.

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Abstract

In this paper, we propose a novel heuristic approach to segment recognizable symbols from online Kannada word data and perform recognition of the entire word. Two different estimates of first derivative are extracted from the preprocessed stroke groups and used as features for classification. Estimate 2 proved better resulting in 88% accuracy, which is 3% more than that achieved with estimate 1. Classification is performed by statistical dynamic space warping (SDSW) classifier which uses X, Y co-ordinates and their first derivatives as features. Classifier is trained with data from 40 writers. 295 classes are handled covering Kannada aksharas, with Kannada numerals, Indo-Arabic numerals, punctuations and other special symbols like $ and #. Classification accuracies obtained are 88% at the akshara level and 80% at the word level, which shows the scope for further improvement in segmentation algorithm

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	online handwriting recognition;OHWR;word recognizer;Kannada character recognition
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	27 Dec 2011 09:26
Last Modified:	27 Dec 2011 09:26
URI:	http://eprints.iisc.ac.in/id/eprint/42915

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