NDLI: Unrestricted Kannada online handwritten akshara recognition using SDTW

Content Provider	IEEE Xplore Digital Library
Author	Kunwar, R. Mohan, P. Shashikiran, K. Ramakrishnan, A.G.
Copyright Year	2010
Description	Author affiliation: Dept. of Electr. Eng., IISc, Bangalore, India (Kunwar, R.; Mohan, P.; Shashikiran, K.; Ramakrishnan, A.G.)
Abstract	In this paper, we present an unrestricted Kannada online handwritten character recognizer which is viable for real time applications. It handles Kannada and Indo-Arabic numerals, punctuation marks and special symbols like $, &, # etc, apart from all the aksharas of the Kannada script. The dataset used has handwriting of 69 people from four different locations, making the recognition writer independent. It was found that for the DTW classifier, using smoothed first derivatives as features, enhanced the performance to 89% as compared to preprocessed co-ordinates which gave 85%, but was too inefficient in terms of time. To overcome this, we used Statistical Dynamic Time Warping (SDTW) and achieved 46 times faster classification with comparable accuracy i.e. 88%, making it fast enough for practical applications. The accuracies reported are raw symbol recognition results from the classifier. Thus, there is good scope of improvement in actual applications. Where domain constraints such as fixed vocabulary, language models and post processing can be employed. A working demo is also available on tablet PC for recognition of Kannada words.
Starting Page	1
Ending Page	5
File Size	274387
Page Count	5
File Format	PDF
ISBN	9781424471379
e-ISBN	9781424471386
DOI	10.1109/SPCOM.2010.5560515
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Accuracy Hidden Markov models Tablet computers Character recognition Pattern matching Testing
Content Type	Text
Resource Type	Article

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