Dagobert - a new coin recognition and sorting system

Michael Nölle; Harald Penz; Michael Rubik; Konrad Mayer; Igor Holländer; Reinhard Granec

Dagobert - a new coin recognition and sorting system

Michael Nölle
, Harald Penz
, Michael Rubik
, Konrad Mayer
, Igor Holländer
, Reinhard Granec

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

In this paper we describe the pattern recognition methods used for the identification of coins in the new coin recognition and sorting system Dagobert developed at the ARC Seibersdorf research centre. The purpose of Dagobert is to sort high volumes of coins. In particular the coin detection task, the features used to pre-select meaningful potential master coins for the verification process and the verification/rejection me-thod itself will be detailed. Some recognition results are given at the end of the paper, indicating that the approach fulfils the given task effectively.

Original language	English
Title of host publication	DICTA 03 Proceedings of the 7th International Conference on Digital Image Computing - Techniques and Applications
Publisher	CSIRO Publishing
Pages	329-338
Number of pages	10
ISBN (Print)	0643090398
Publication status	Published - 2003
Event	DICTA 03 - Duration: 1 Jan 2003 → …

Conference

Conference	DICTA 03
Period	1/01/03 → …

Research Field

Not defined

Keywords

Coin recognition
rotational invariant
features
density dissimilarity measures
polar transformation
feature correlation

Cite this

@inproceedings{6e24265fc7fc4c049024c20d86aefea4,

title = "Dagobert - a new coin recognition and sorting system",

abstract = "In this paper we describe the pattern recognition methods used for the identification of coins in the new coin recognition and sorting system Dagobert developed at the ARC Seibersdorf research centre. The purpose of Dagobert is to sort high volumes of coins. In particular the coin detection task, the features used to pre-select meaningful potential master coins for the verification process and the verification/rejection me-thod itself will be detailed. Some recognition results are given at the end of the paper, indicating that the approach fulfils the given task effectively.",

keywords = "Coin recognition, rotational invariant, features, density dissimilarity measures, polar transformation, feature correlation, Coin recognition, rotational invariant, features, density dissimilarity measures, polar transformation, feature correlation",

author = "Michael N{\"o}lle and Harald Penz and Michael Rubik and Konrad Mayer and Igor Holl{\"a}nder and Reinhard Granec",

year = "2003",

language = "English",

isbn = "0643090398",

pages = "329--338",

booktitle = "DICTA 03 Proceedings of the 7th International Conference on Digital Image Computing - Techniques and Applications",

publisher = "CSIRO Publishing",

address = "Australia",

note = "DICTA 03 ; Conference date: 01-01-2003",

}

Dagobert - a new coin recognition and sorting system. / Nölle, Michael; Penz, Harald; Rubik, Michael et al.
DICTA 03 Proceedings of the 7th International Conference on Digital Image Computing - Techniques and Applications. CSIRO Publishing, 2003. p. 329-338.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Dagobert - a new coin recognition and sorting system

AU - Nölle, Michael

AU - Penz, Harald

AU - Rubik, Michael

AU - Mayer, Konrad

AU - Holländer, Igor

AU - Granec, Reinhard

PY - 2003

Y1 - 2003

N2 - In this paper we describe the pattern recognition methods used for the identification of coins in the new coin recognition and sorting system Dagobert developed at the ARC Seibersdorf research centre. The purpose of Dagobert is to sort high volumes of coins. In particular the coin detection task, the features used to pre-select meaningful potential master coins for the verification process and the verification/rejection me-thod itself will be detailed. Some recognition results are given at the end of the paper, indicating that the approach fulfils the given task effectively.

AB - In this paper we describe the pattern recognition methods used for the identification of coins in the new coin recognition and sorting system Dagobert developed at the ARC Seibersdorf research centre. The purpose of Dagobert is to sort high volumes of coins. In particular the coin detection task, the features used to pre-select meaningful potential master coins for the verification process and the verification/rejection me-thod itself will be detailed. Some recognition results are given at the end of the paper, indicating that the approach fulfils the given task effectively.

KW - Coin recognition

KW - rotational invariant

KW - features

KW - density dissimilarity measures

KW - polar transformation

KW - feature correlation

KW - Coin recognition

KW - rotational invariant

KW - features

KW - density dissimilarity measures

KW - polar transformation

KW - feature correlation

M3 - Conference Proceedings with Oral Presentation

SN - 0643090398

SP - 329

EP - 338

BT - DICTA 03 Proceedings of the 7th International Conference on Digital Image Computing - Techniques and Applications

PB - CSIRO Publishing

T2 - DICTA 03

Y2 - 1 January 2003

ER -

Dagobert - a new coin recognition and sorting system

Abstract

Conference

Research Field

Keywords

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