Recognition of Handwritten Devanagari Numerals by Graph Representation and Lipschitz Embedding

Bhat, Mohammad Idrees and Sharada, B. (2016) Recognition of Handwritten Devanagari Numerals by Graph Representation and Lipschitz Embedding. In: Recent Trends in Image Processing and Pattern Recognition. Springer Singapore, Singapore, pp. 102-110. ISBN 978-981-10-4859-3

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Official URL: https://doi.org/10.1007/978-981-10-4859-3_10

Abstract

In this paper, the task of recognizing handwritten devanagari numerals by giving graph representation is introduced. Lipschitz embedding is explored to extract style, size invariant features from numeral graphs. Graph based features adequately model the cursivenes and are invariant to shape transformations. Recognition is carried out by SVM with radial basis function. Extensive experiments have been carried on standard dataset of CVPR ISI Kolkata. Comparative study of our results is presented with previous reported results on the dataset. From this study, graph representation seems to be robust and resilient.

Item Type: Book Section
Additional Information: Unmapped bibliographic data: ED - Santosh, K.C. [Field not mapped to EPrints] ED - Hangarge, Mallikarjun [Field not mapped to EPrints] ED - Bevilacqua, Vitoantonio [Field not mapped to EPrints] ED - Negi, Atul [Field not mapped to EPrints] BT - Recent Trends in Image Processing and Pattern Recognition: First International Conference, RTIP2R 2016, Bidar, India, December 16–17, 2016, Revised Selected Papers [Field not mapped to EPrints]
Subjects: Information, Computer and Applied Sciences > Computer Science
Divisions: PG Campuses > Manasagangotri, Mysore > Computer Science
Depositing User: Praveen Kumari B.L
Date Deposited: 25 Oct 2017 11:02
Last Modified: 25 Oct 2017 11:02
URI: http://eprints.uni-mysore.ac.in/id/eprint/20100

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