Filters for graph-based keyword spotting in historical handwritten documents

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Authors
Author (Corporation)
Publication date
2020
Type of student thesis
Course of study
Collections
Institute for Information Systems
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Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Pattern Recognition Letters
Special issue
DOI of the original publication
https://doi.org/10.1016/J.PATREC.2018.03.030
URI
https://irf.fhnw.ch/handle/11654/42880
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Related research data
Series
Series number
Volume
134
Issue / Number
Pages / Duration
125-134
Patent number
Publisher / Publishing institution
Elsevier
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Keywords
Subject (DDC)
330 - Wirtschaft
Project
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
0167-8655
1872-7344
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
peer-reviewed
Open access category
Closed
License
Citation
Stauffer, M., Fischer, A., & Riesen, K. (2020). Filters for graph-based keyword spotting in historical handwritten documents. Pattern Recognition Letters, 134, 125–134. https://doi.org/10.1016/J.PATREC.2018.03.030
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