Historical Map Toponym Extraction for Efficient Information Retrieval

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 retrieva...

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Bibliographic Details
Published inDocument Analysis Systems pp. 171 - 183
Main Authors Lenc, Ladislav, Martínek, Jiří, Baloun, Josef, Prantl, Martin, Král, Pavel
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
FCN
Historical maps
OCR
Text detection
Toponyms
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Summary: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.
ISBN:9783031065545
3031065549
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-031-06555-2_12