Computer Aided Recognition and Classification of Coats of Arms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU127281" target="_blank" >RIV/00216305:26230/18:PU127281 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-76348-4_7" target="_blank" >http://dx.doi.org/10.1007/978-3-319-76348-4_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-76348-4_7" target="_blank" >10.1007/978-3-319-76348-4_7</a>
Alternative languages
Result language
angličtina
Original language name
Computer Aided Recognition and Classification of Coats of Arms
Original language description
This paper describes the design and development of a system for detection and recognition of coat of arms and its heraldic parts (components). It introduces the methods by which individual features can be implemented. Most of the heraldic parts are segmented using a convolution neural networks and the rest of them are segmented using active contour model. The Histogram of the gradient method was chosen for coats of arms detection in an image. For training and functionality verification we used our own data that was created as a part of our research. The resulting system can serve as an auxiliary tool used in heraldry and other sciences related to history.
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/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings ISDA 2017
ISBN
978-3-319-76347-7
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
63-73
Publisher name
Springer International Publishing
Place of publication
Los Alamitos
Event location
Delhi
Event date
Dec 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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