Machine learning in document analysis and recognition
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphicalcomponents of a document and to extract information. With ?rst papers dating back to the 1960 s, DAR is a mature but still gr- ing research?eld with consolidated and known techniques. Optical Character Rec...
Salvato in:
| Autore principale: | |
|---|---|
| Altri autori: | , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2008. |
| Serie: | Studies in Computational Intelligence
90 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine learning in document analysis and recognition, Simone Marinai, Hiromichi Fujisawa (eds.), Berlin, Springer, 2008, 1 vol. (XI-433 p.), Studies in computational intelligence, 978-3-540-76279-9 • Machine Learning in Document Analysis and Recognition, Texte imprimé, 9783540845447 • Machine Learning in Document Analysis and Recognition, Texte imprimé, 9783642095115 • Machine learning in document analysis and recognition, Simone Marinai, Hiromichi Fujisawa (eds.), Berlin, Springer, 2008, 1 vol. (XI-433 p.), Studies in computational intelligence, 978-3-540-76279-9 |