Digital image coin discrimination for use with consumer-operated kiosks and the like
First Claim
1. A computer-implemented method for identifying coins, the method comprising:
- obtaining a first digital image of a coin with a camera;
generating a second digital image from the first digital image, wherein the second digital image is a line image;
identifying at least one edge in the second digital image;
adding an image of a line to the second digital image;
determining an angle between the at least one edge and the image of the line; and
discriminating the coin by comparing the angle to a stored property of a coin.
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Accused Products
Abstract
Systems and associated methods for coin discrimination are disclosed herein. Disclosed methods for discriminating coins include recognizing strings of alphanumerical characters of the coin using Optical Character Recognition (OCR). The methods can include recognizing colors and/or reflectivity of the coin using, for example, pixel thresholding algorithms. The methods can further include adding a line to an image of the coin, and measuring angles between the line and the edges on the coin. The methods can also include generating a rectangular image of the coin using, for example, a log-polar transform, generating a series of, for example, Fourier transforms from the rectangular image, and identifying spectral peak locations and intensities in the Fourier transform results. The results of the OCR, color/reflectivity recognition, angle measurement, spectral peak location, spectral peak intensity of the coin and/or other features or aspects of coins can then be compared to known values for different coins to discriminate the coins.
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Citations
15 Claims
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1. A computer-implemented method for identifying coins, the method comprising:
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obtaining a first digital image of a coin with a camera; generating a second digital image from the first digital image, wherein the second digital image is a line image; identifying at least one edge in the second digital image; adding an image of a line to the second digital image; determining an angle between the at least one edge and the image of the line; and discriminating the coin by comparing the angle to a stored property of a coin. - View Dependent Claims (2, 3, 4, 5)
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6. A consumer operated coin counting system comprising:
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a coin input region configured to receive a plurality of coins; a digital camera configured to capture a first digital image of at least one coin of the plurality of coins; a processor configured to; generate a second digital image from the first digital image, wherein the second digital image is a line image, identify at least one edge in the second digital image, apply an image of a line to the second digital image, and determine an angle between the at least one edge in the second digital image and the image of the line; and discriminate the at least one coin by comparing the angle to a stored property of a coin. - View Dependent Claims (7, 8, 9, 10, 11)
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12. A processor configured to implement a method comprising:
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receiving a first digital image of a coin from a camera; generating a second digital image from the first digital image; identifying at least one edge in the second digital image; adding an image of a line to the second digital image; determining an angle between the at least one edge and the image of the line; and discriminating the coin by comparing the angle to a stored property of a coin. - View Dependent Claims (13, 14, 15)
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Specification