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Optical Character Recognition Systems for Different Languages with Soft Computing
The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, G...
| Main Authors: | , , , |
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| Corporate Author: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 1st ed. 2017. |
| Series: | Studies in Fuzziness and Soft Computing,
352 |
| Subjects: | |
| Online Access: | Full-text access View in OPAC |