Vesselness for text detection in historical document images

Hofmann, Steffen; Gropp, Martin; Bernecker, David; Pollin, Christopher; Maier, Andreas; Christlein, Vincent

doi:10.1109/icip.2016.7532962

2016 IEEE International Conference on Image Processing (ICIP) 2016

DOI: 10.1109/icip.2016.7532962

|View full text |Cite

Vesselness for text detection in historical document images

Steffen Hofmann

Martin Gropp

David Bernecker

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Vesselness for text detection in historical document images

Cited by 2 publications

References 26 publications

Analysis of Document Images through Local Binary Patterns

Analysis of Document Images through Local Binary Patterns

The Various Equations of Variation of Mass with Velocity

Contact Info

Product

Resources

About