Laurens van der Maaten MICC-IKAT, Maastricht University

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Results<br />

The system classifiers 81% of the coins correctly, while<br />

misclassifying only 0.3% of the coins<br />

The system uses approximately 2 seconds of computation<br />

time per coin image

The 6 European Doctoral Conference in Nursing Science

Nieuwsbrief Health & Fitness - Maastricht University

Inleiding Zorgmonitor Zuid-Limburg - Maastricht University

TABLE OF CONTENT - Maastricht University

Results The system classifiers 81% of the coins correctly, while misclassifying only 0.3% of the coins The system uses approximately 2 seconds of computation time per coin image

Conclusions The system allows for automatic sorting of large amounts of European coins Future work: further reducing the amount of misclassifications Future work: classification of historical coins

Page 1 and 2: Fast and reliable coin classificati
Page 3 and 4: Overview The challenge System overv
Page 5 and 6: The challenge
Page 7 and 8: Segmentation The extraction of the
Page 9 and 10: Feature extraction Measure statisti
Page 11 and 12: Feature extraction Edge distance di
Page 13 and 14: Feature extraction Edge angle-dista
Page 15 and 16: Classification Our classifier is tr
Page 17: Verification The coin is compared w

Laurens van der Maaten MICC-IKAT, Maastricht University

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