Cursive Character Recognition by Learning Vector Quantization
| Type of publication: | Journal paper |
| Citation: | camvin01art |
| Journal: | Pattern Recognition Letters |
| Volume: | 22 |
| Number: | 6 |
| Year: | 2001 |
| Note: | IDIAP-RR 00-47 |
| Crossref: | camvin00: |
| 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 | |
| Added by: | [UNK] |
| Total mark: | 0 |
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