Keyword spotting in historical handwritten documents based on graph matching

Stauffer, Michael (Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland ; Department of Informatics, University of Pretoria, Pretoria, South Africa) ; Riesen, Kaspar (Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland) ; Fischer, Andreas (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland ; Department of Informatics, University of Fribourg, Fribourg, Switzerland)

In the last decades historical handwritten documents have become increasingly available in digital form. Yet, the accessibility to these documents with respect to browsing and searching remained limited as full automatic transcription is often not possible or not sufficiently accurate. This paper proposes a novel reliable approach for template-based keyword spotting in historical handwritten documents. In particular, our framework makes use of different graph representations for segmented word images and a sophisticated matching procedure. Moreover, we extend our method to a spotting ensemble. In an exhaustive experimental evaluation on four widely used benchmark datasets we show that the proposed approach is able to keep up or even outperform several state-of-the-art methods for template- and learning-based keyword spotting.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
iCoSys - Institut des systèmes complexes
Subject(s):
Ingénierie
Date:
2018-09
Pagination:
14 p.
Published in:
Pattern Recognition
Numeration (vol. no.):
2018, vol. 81 pp. 240-253
DOI:
ISSN:
0031-3203
Appears in Collection:

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 Record created 2019-02-26, last modified 2019-03-05

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