Money, Money, Money TEAM 6 The TEAM Dana Damian Scientist Institute: Politehnica University of...
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Transcript of Money, Money, Money TEAM 6 The TEAM Dana Damian Scientist Institute: Politehnica University of...
Money, Money, MoneyMoney, Money, Money
TEAM 6
The TEAMDana Damian ScientistInstitute: Politehnica University of TimisoaraCountry: Romania
Krisztina Dombi DocumenterInstitute: University of SzegedCountry: Hungary
Levente Sajó ProgrammerInstitute: University of Debrecen Country: Hungary
Zoltán Horváth GopherInstitute: Pannon University Country: Hungary
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 the implemented method.
Difficulty: Medium
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.
Our Problem
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).
Monetary automates
Handy coin counter
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 )
Catalogue of Hungarian denomination
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
sincos yx
• 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
Circular HT
222 )()( rbyax
Preprocessing
Enhance ContrastSharpen
Gaussian BlurSharpen
Find EdgesThresholdFill HolesOutlineInvert
Hungarian coin counter system
Input image:
Enhance Contrast
Sharpen
Gaussian Blur
Edge Detector
Threshold
Fill Holes
Outline
Invert binary
Circular Hough Transform
Detected coins
Center points and radius
Result
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
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
Limitations
• A priori knowledge of the # coins
• Dependence on the quality of edge detector
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
Other Works• Coin Detector
CS7495/4495 Term ProjectDong-Shin Kim(gtg901p) CS7495Young Gyun Yun(gte257z) CS4495You-Kyung Cha(gte440y) CS4495
• Dagobert – A New Coin Recognition and Sorting System
Michael 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
Thanks for your attention.
Questions? …