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| Paper: | ITT-P1.9 |
| Session: | Speech and Language Applications |
| Time: | Thursday, May 20, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Industry Technology Track: Other ITT Topics |
| Title: |
RADIAL BASIS FUNCTION AND SUBSPACE APPROACH FOR PRINTED KANNADA TEXT RECOGNITION |
| Authors: |
Vijay Kumar; Indian Institute of Science | | |
| | A. G. Ramakrishnan; Indian Institute of Science | | |
| Abstract: |
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. |
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