Historical Map Toponym Extraction for Efficient Information Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965496" target="_blank" >RIV/49777513:23520/22:43965496 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85131115206&origin=resultslist&sort=plf-f" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85131115206&origin=resultslist&sort=plf-f</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-06555-2_12" target="_blank" >10.1007/978-3-031-06555-2_12</a>
Alternative languages
Result language
angličtina
Original language name
Historical Map Toponym Extraction for Efficient Information Retrieval
Original language description
The paper deals with detection, classification and recognition of toponyms in hand-drawn historical cadastral maps. Toponyms are local names of towns, villages and landscape features such as rivers, forests etc. The detected and recognized toponyms are utilized as keywords in an information retrieval system that allows intelligent and efficient searching in historical map collections. We create a novel annotated dataset that is freely available for research and educational purposes. Then, we propose a novel approach for toponym classification based on KAZE descriptor. Next we compare and evaluate several state-of-the-art methods for text and object detection on our toponym detection task. We further show the results of toponym text recognition using popular Tesseract engine.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Document Analysis Systems : 15th IAPR International Workshop on Document Analysis Systems, DAS 2022
ISBN
978-3-031-06554-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
13
Pages from-to
171-183
Publisher name
Springer
Place of publication
Cham
Event location
La Rochelle, France
Event date
May 22, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000870314500012