Publication detail

Computer Aided Recognition and Classification of Coats of Arms

VÍDEŇSKÝ, F. ZBOŘIL, F.

Original Title

Computer Aided Recognition and Classification of Coats of Arms

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Convolutional Neural Networks, Image Processing, Segmentation, Heraldy

Authors

VÍDEŇSKÝ, F.; ZBOŘIL, F.

Released

22. 3. 2018

Publisher

Springer International Publishing

Location

Los Alamitos

ISBN

978-3-319-76347-7

Book

Proceedings ISDA 2017

Edition

Advances in Intelligent Systems and Computing, vol 736

ISBN

2194-5357

Periodical

Advances in Intelligent Systems and Computing

Year of study

2018

Number

3

State

Swiss Confederation

Pages from

63

Pages to

73

Pages count

10

BibTex

@inproceedings{BUT146267,
  author="František {Vídeňský} and František {Zbořil}",
  title="Computer Aided Recognition and Classification of Coats of Arms",
  booktitle="Proceedings ISDA 2017",
  year="2018",
  series="Advances in Intelligent Systems and Computing, vol 736",
  journal="Advances in Intelligent Systems and Computing",
  volume="2018",
  number="3",
  pages="63--73",
  publisher="Springer International Publishing",
  address="Los Alamitos",
  doi="10.1007/978-3-319-76348-4\{_}7",
  isbn="978-3-319-76347-7",
  issn="2194-5357"
}