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- W2169453022 abstract "Neural network based radial basis function networks (RBFN) and subspace projection approach have been employed to recognize printed Kannada characters. RBFNs 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." @default.
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- W2169453022 date "2004-09-28" @default.
- W2169453022 modified "2023-09-30" @default.
- W2169453022 title "Radial basis function and subspace approach for printed Kannada text recognition" @default.
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- W2169453022 doi "https://doi.org/10.1109/icassp.2004.1327112" @default.
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