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.
| Originalsprache | Englisch |
|---|---|
| Titel | DICTA 03 Proceedings of the 7th International Conference on Digital Image Computing - Techniques and Applications |
| Herausgeber (Verlag) | CSIRO Publishing |
| Seiten | 329-338 |
| Seitenumfang | 10 |
| ISBN (Print) | 0643090398 |
| Publikationsstatus | Veröffentlicht - 2003 |
| Veranstaltung | DICTA 03 - Dauer: 1 Jan. 2003 → … |
Konferenz
| Konferenz | DICTA 03 |
|---|---|
| Zeitraum | 1/01/03 → … |
Research Field
- Nicht definiert
Schlagwörter
- Coin recognition
- rotational invariant
- features
- density dissimilarity measures
- polar transformation
- feature correlation