Cross-evaluation of graph-based keyword spotting in handwritten historical documents
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Author (Corporation)
Publication date
2019
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
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Parent work
Graph-Based Representations in Pattern Recognition. 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19-21, 2019. Proceedings
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DOI of the original publication
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Series
Lecture notes in computer science
Series number
11510
Volume
Issue / Number
Pages / Duration
45-55
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Cham
Edition
Version
Programming language
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Abstract
In contrast to statistical representations, graphs offer some inherent advantages when it comes to handwriting representation. That is, graphs are able to adapt their size and structure to the individual handwriting and represent binary relationships that might exist within the handwriting. We observe an increasing number of graph-based keyword spotting frameworks in the last years. In general, keyword spotting allows to retrieve instances of an arbitrary query in documents. It is common practice to optimise keyword spotting frameworks for each document individually, and thus, the overall generalisability remains somehow questionable. In this paper, we focus on this question by conducting a cross-evaluation experiment on four handwritten historical documents. We observe a direct relationship between parameter settings and the actual handwriting. We also propose different ensemble strategies that allow to keep up with individually optimised systems without a priori knowledge of a certain manuscript. Such a system can potentially be applied to new documents without prior optimisation.
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Subject (DDC)
Event
12th IAPR-TC-15 International Workshop, GbRPR 2019
Exhibition start date
Exhibition end date
Conference start date
19.06.2019
Conference end date
21.06.2019
Date of the last check
ISBN
978-3-030-20080-0
978-3-030-20081-7
978-3-030-20081-7
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Stauffer, M., Maergner, P., Fischer, A., & Riesen, K. (2019). Cross-evaluation of graph-based keyword spotting in handwritten historical documents. In D. Conte, J.-Y. Ramel, & P. Foggia (Eds.), Graph-Based Representations in Pattern Recognition. 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19-21, 2019. Proceedings (pp. 45–55). Springer. https://doi.org/10.1007/978-3-030-20081-7_5