Cursive Character Recognition by Learning Vector Quantization
| Type of publication: | Idiap-RR |
| Citation: | camvin00 |
| Number: | Idiap-RR-47-2000 |
| Year: | 2000 |
| Institution: | IDIAP |
| Note: | Accepted for publication by Pattern Recognition Letters |
| Abstract: | This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one an LVQ. The selected feature set was compared to Zernike polynomials using the same classifier. Experiments are reported on a database of about 49000 isolated characters. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Crossref by |
camvin01art |
| Added by: | [UNK] |
| Total mark: | 0 |
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