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Money, Money, Money

Money, Money, Money. TEAM 6. The TEAM. Dana Damian Scientist Institute: Politehnica University of Timisoara Country: Romania Krisztina Dombi Documenter Institute: University of Szeged Country: Hungary Levente Sajó Programmer Institute: University of Debrecen

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Money, Money, Money

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  1. Money, Money, Money TEAM 6

  2. The TEAM Dana Damian Scientist Institute: Politehnica University of Timisoara Country: Romania Krisztina Dombi Documenter Institute: University of Szeged Country: Hungary Levente Sajó Programmer Institute: University of Debrecen Country: Hungary Zoltán Horváth Gopher Institute: Pannon University Country: Hungary

  3. The Problem The Problem: Counting money.Input: Photo of coins (Euro\Cent perspective view,non-uniform lighting, eventual partial covering)Task: Recognize the coins and count the total sum.Output: The sum, and also the recognition statistics(accuracy / false positive rate etc) of theimplemented method.Difficulty: Medium

  4. Our Problem The Problem: Counting money.Input: Photo of coins (forint with perspective view, without covering)(Let’s say we have a lot…) Task: Recognize the coins and count the total sum.Output: The sum, and also the recognition statistics(accuracy / false positive rate etc) of the implemented method.

  5. Motivation • In business transactions, to enable computers to recognize coins and other different forms of currency has become an essential process. • If computers are able to do the recognition, all monetary trades and transactions will be much easier. • Our scope is limited on recognizing only the Hungarian coins ( head OR tail ) (1F, 2F, 10F, 20F, 50F, 100F).

  6. Monetary automates

  7. Handy coin counter

  8. Approach • The application is suitable for an architecture of a coin counter system that incorporates a steady camera which monitories coins passing beneath (maybe on a belt  )

  9. Catalogue of Hungarian denomination

  10. Theoretical background of Hough transformation • A transformation that maps a point in a Cartesian space onto a 2D space of points, called the Hough Space

  11. Circular HT • Extension of the classical HT • Analytical function of a circle leads to a mapping of each point (x, y) from the image onto a 3D Hough Space parameterized according to (a, b, r) tuple, where • (a, b)  center of the circle • r  radius of the center Points satisfying the equation are mapped into the accumulator according to the circle they belong to

  12. Preprocessing Enhance Contrast Sharpen Gaussian Blur Sharpen Find Edges Threshold Fill Holes Outline Invert

  13. Hungarian coin counter system Input image:

  14. Enhance Contrast

  15. Sharpen

  16. Gaussian Blur

  17. Edge Detector

  18. Threshold

  19. Fill Holes

  20. Outline

  21. Invert binary

  22. Circular Hough Transform

  23. Detected coins

  24. Center points and radius

  25. Result

  26. Core Idea • Having a picture for training purposes, the system designs a coin table in which it stores the size of each coin • Further recognition is based on comparison with the coin table

  27. Main issues • Shadows can enlarge the image of a coin, thus increasing its radius • Different condition of illumination can generate an edge map with lack of information • Coins are very close to each other

  28. Limitations • A priori knowledge of the # coins • Dependence on the quality of edge detector

  29. Future Plans • Go to the Bajor söröző • Eat good and drink a lot • Go back to the dormitory • Go home with lots of new experiences, new remembrance

  30. Other Works • Coin DetectorCS7495/4495 Term ProjectDong-Shin Kim(gtg901p) CS7495Young Gyun Yun(gte257z) CS4495You-Kyung Cha(gte440y) CS4495 • Dagobert – A New Coin Recognition and Sorting SystemMichael N¨olle1, Harald Penz2, Michael Rubik2,Konrad Mayer2, Igor Holl¨ander2, Reinhard Granec2ARC Seibersdorf research GmbH1Video- and Safety Technology , 2High Performance Image ProcessingA-2444 Seibersdorf • Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SAYasue Mitsukura*, Minoru Fukumi* and Norio Akamatsu** Department of Information Science & Intelligent Systems, Faculty of EngineeringUniversity of Tokushima 2-1, Minami-josanjima, Tokushima, 770-8506 JAPAN

  31. Thanks for your attention. Questions? …

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