VijayKumar, B and Ramakrishnan, AG (2004) Radial Basis Function and Subspace Approach for Printed Kannada Text Recognition. In: IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP '04, 17-21 May, Montreal, Que., Canada, Vol.5, 321-324.
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Neural network based radial basis function networks (RBFN)and subspace projection approach have been employed to recognize printed Kannada characters. RBFN’s are trained with wavelet features using K-means and subspace method is applied on normalized image. Use of structural features for disambiguating confused characters improved the recognition accuracy by 3% in case of subspace and by 1.6% using RBFN. Compared to subspace, a maximum recognition rate of 99.1% is achieved with RBFN using Haar wavelets and structural features.
|Item Type:||Conference Paper|
|Additional Information:||2004 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.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||02 Jul 2007|
|Last Modified:||19 Sep 2010 04:35|
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