| 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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