dc.contributor.author |
Stauffer, Michael
|
|
dc.contributor.author |
Fischer, Andreas
|
|
dc.contributor.author |
Riesen, Kaspar
|
|
dc.date.accessioned |
2017-09-22T05:12:23Z |
|
dc.date.issued |
2016-11 |
|
dc.description |
Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR). S+SSPR 2016: Structural, Syntactic, and Statistical Pattern Recognition pp. 564-573. |
en_ZA |
dc.description.abstract |
The amount of handwritten documents that is digitally available is rapidly increasing. However, we observe a certain lack of accessibility to these documents especially with respect to searching and browsing. This paper aims at closing this gap by means of a novel method for keyword spotting in ancient handwritten documents. The proposed system relies on a keypoint-based graph representation for individual words. Keypoints are characteristic points in a word image that are represented by nodes, while edges are employed to represent strokes between two keypoints. The basic task of keyword spotting is then conducted by a recent approximation algorithm for graph edit distance. The novel framework for graph-based keyword spotting is tested on the George Washington dataset on which a state-of-the-art reference system is clearly outperformed. |
en_ZA |
dc.description.department |
Informatics |
en_ZA |
dc.description.embargo |
2017-11-05 |
|
dc.description.librarian |
hj2017 |
en_ZA |
dc.description.uri |
http://link.springer.combookseries/558 |
en_ZA |
dc.identifier.citation |
Stauffer M., Fischer A., Riesen K. (2016) Graph-Based Keyword Spotting in Historical Handwritten Documents. In: Robles-Kelly A., Loog M., Biggio B., Escolano F., Wilson R. (eds) Structural, Syntactic, and Statistical Pattern Recognition. S+SSPR 2016. Lecture Notes in Computer Science, vol 10029. Springer, Cham. |
en_ZA |
dc.identifier.issn |
0302-9743 (print) |
|
dc.identifier.issn |
1611-3349 (online) |
|
dc.identifier.other |
10.1007/978-3-319-49055-7_50 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/62502 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Springer |
en_ZA |
dc.rights |
© Springer International Publishing AG 2016. The original publication is available at : http://link.springer.combookseries/558. |
en_ZA |
dc.subject |
Handwritten keyword spotting |
en_ZA |
dc.subject |
Bipartite graph matching |
en_ZA |
dc.subject |
Graph representation for words |
en_ZA |
dc.title |
Graph-based keyword spotting in historical handwritten documents |
en_ZA |
dc.type |
Postprint Article |
en_ZA |