Recognition of Kannada characters extracted from scene images

Kumar, Deepak and Ramakrishnan, AG (2012) Recognition of Kannada characters extracted from scene images. In: Proceeding of the workshop on Document Analysis and Recognition, Dec. 16, 2012, New York, NY, USA.

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Abstract

In this paper, we describe a method for feature extraction and classification of characters manually isolated from scene or natural images. Characters in a scene image may be affected by low resolution, uneven illumination or occlusion. We propose a novel method to perform binarization on gray scale images by minimizing energy functional. Discrete Cosine Transform and Angular Radial Transform are used to extract the features from characters after normalization for scale and translation. We have evaluated our method on the complete test set of Chars74k dataset for English and Kannada scripts consisting of handwritten and synthesized characters, as well as characters extracted from camera captured images. We utilize only synthesized and handwritten characters from this dataset as training set. Nearest neighbor classification is used in our experiments.

Item Type:	Conference Paper
Publisher:	ACM, Inc
Additional Information:	Copyright of this article belongs to ACM, Inc.
Keywords:	Binarization; Energy Minimization; Discrete Cosine transfor- mation; Angular Radial Transform; English Fonts; Kannada Handwritten Symbols; Feature Vector Extraction
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	02 Jul 2013 07:50
Last Modified:	02 Jul 2013 07:50
URI:	http://eprints.iisc.ac.in/id/eprint/46546

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