Advantages of the Extended Water Flow Algorithm for Handwritten Text Segmentation (Pattern Recognition and Machine Intelligence Lecture Notes in Computer Science Volume 6744)

Book Metadata only M14

2011

Brodić, Darko

Springer Berlin Heidelberg

418

423

English

M14 - Monographic study/chapter in an M12 book, or paper in a thematic proceedings of international significance

10.1007/978-3-642-21786-9_68

978-3-642-21785-2

dc.rights.license	CC-BY-NC-ND
dc.identifier.uri	http://www.springerlink.com/content/q1g51lh66lg8up53/
dc.identifier.uri	https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/5557
dc.language.iso	en
dc.publisher	Springer Berlin Heidelberg
dc.title	Advantages of the Extended Water Flow Algorithm for Handwritten Text Segmentation (Pattern Recognition and Machine Intelligence Lecture Notes in Computer Science Volume 6744)
dc.type	book
dc.type.version	publishedVersion
dc.citation.spage	418
dc.citation.epage	423
dc.citation.rank	M14
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.creator	Brodić, Darko
dc.contributor	Sergei O. Kuznetsov, Deba P. Mandal, Malay K. Kundu, Sankar K. Pal
dc.date.accessioned	2023-12-28T16:31:19Z
dc.date.available	2023-12-28T16:31:19Z
dc.date.issued	2011
dc.identifier.isbn	978-3-642-21785-2
dc.identifier.doi	10.1007/978-3-642-21786-9_68


Advantages of the Extended Water Flow Algorithm for Handwritten Text Segmentation (Pattern Recognition and Machine Intelligence Lecture Notes in Computer Science Volume 6744)	2