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2011 | OriginalPaper | Chapter

Multifont Oriya Character Recognition Using Curvelet Transform

Authors : Swati Nigam, Ashish Khare

Published in: Information Systems for Indian Languages

Publisher: Springer Berlin Heidelberg

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In this paper, we have proposed a new character recognition method for Oriya script which is based on curvelet transform. Multi font Oriya character recognition has not been attempted previously. Ten popular Oriya fonts have been used for the purpose of character recognition. The wavelet transform has widely been used for character recognition purpose, but it cannot well describe curve discontinuities. We have used curvelet transform for recognition which is done using curvelet coefficients. This method is suitable for Oriya character recognition as well as various other scripts’ recognition purpose also. The proposed method is simple and extracts effectively the features in target region, which characterizes better and represents more robustly the characters. The experimental results validate that the proposed method improves greatly the recognition accuracy and efficiency than other traditional methods.

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Metadata
Title
Multifont Oriya Character Recognition Using Curvelet Transform
Authors
Swati Nigam
Ashish Khare
Copyright Year
2011
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-19403-0_24

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