Screen LibraryOptical 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...
Saved in:
| Main Authors: | |
|---|---|
| Corporate Authors: | |
| Group Author: | ; ; |
| Published: |
Springer International Publishing : Imprint: Springer,
|
| Publisher Address: | Cham : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Studies in Fuzziness and Soft Computing,
352 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-319-50252-6 |
| Summary: |
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, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art su |
| Carrier Form: | 1 online resource (XIX, 248 pages) : illustrations. |
| ISBN: | 9783319502526 |
| Index Number: | Q342 |
| CLC: | TP18 |