Patent Issued for Image Correction (USPTO 10,275,971)

Information Technology Business Daily |

2019 MAY 15 (NewsRx) -- By a News Reporter-Staff News Editor at Information Technology Business Daily -- NCR Corporation (Duluth, Georgia, United States) has been issued patent number 10,275,971, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors.

The patent’s inventor is Greig, Alan (Perthshire, GB).

This patent was filed on and was published online on .

From the background information supplied by the inventors, news correspondents obtained the following quote: “Digital cameras and scanners are used for imaging objects. The resulting image of the object can then be image processed for a variety of reasons.

“One very important image processing that takes place following the capture of an object image is for determining note authenticity. Automated Teller Machines (ATMs) and vending machines that accept cash for deposit or for payment of vended goods must determine if the note being provided by a consumer is genuine in a relatively short period of time.

“In-line imaging scanners, along the note transport path within the machine, typically have a fixed position for capturing the image of a note. If the scanner lens has a small amount of debris or if the note being imaged is not properly centered, some portions of the image can become distorted. The determination as to whether a note is genuine or not relies on the pixel intensities in the note image, such that when the note is not properly illuminated, centered, or when a portion of the lens has debris, then some parts of the note image will have incorrect pixel intensities, which will alter the determination of whether the note is genuine or not.

“Moreover, any resulting non-uniformly illuminated image degrades the algorithm performance in discriminating between a genuine note and a non-genuine note. As a consequence, a trade-off has to be made in these situations between false retention of genuine notes and false acceptance of non-genuine notes.

“This is not an ideal situation for vending machines accepting currency as payment for vended goods and very problematic for ATMs that can handle large amounts of currency in any given day.

“Processing throughput is a concern but so is getting the note’s authenticity correct because errors in the favor of a customer can be costly to the enterprise and errors in favor of the enterprise can result in manual enterprise exception procedures with customer complaints and frustration.”

Supplementing the background information on this patent, NewsRx reporters also obtained the inventor’s summary information for this patent: “In various embodiments, methods for image processing within a valuable media depository and a valuable media depository are provided.

“According to an embodiment, a method for image processing within a valuable media depository is presented. Specifically, pixel intensity values for pixels of an image are identified that are outside a range for a currency note that the image represents. Next, the pixel intensity values for the corresponding identified pixels are corrected to fall within the range and thereby creating a modified image.”

The claims supplied by the inventors are:

“The invention claimed is:

“1. A method, comprising: identifying pixel intensity values for pixels of an image that are outside a range for a currency note that the image represents; and correcting the pixel intensity values for the corresponding identified pixels to fall within the range and thereby creating a modified image wherein processing a Modulation Transfer function for determining factors for attributes of the identified pixels requiring correction.

“2. The method of claim 1 further comprising, passing the modified image to a currency note validator for determining whether the currency note is genuine or non-genuine.

“3. The method of claim 1, wherein identifying further includes subdividing the image into subsets of the pixels and processing each subset for identifying the pixel intensity values.

“4. The method of claim 3, wherein subdividing further includes determining a total number of subsets and a pixel density size for each subset as a function of an image pixel density for the image.

“5. The method of claim 1, wherein processing further includes adjusting a brightness factor for a brightness attribute in some of the identified pixels in response to the determined factors.

“6. The method of claim 1, wherein processing further includes processing a contrast shift factor for a contrast attribute in some of the identified pixels in response to the determined factors.

“7. The method of claim 1, wherein processing further includes processing an intensity factor for an intensity attribute in some of the identified pixels in response to the determined factors.

“8. The method of claim 7, wherein processing further includes extrapolating new pixel intensity values for the pixel intensity values by processing a mapping function based on a model image for the currency note.”

For the URL and additional information on this patent, see: Greig, Alan. Image Correction. U.S. Patent Number 10,275,971, filed , and published online on . Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=10,275,971.PN.&OS=PN/10,275,971RS=PN/10,275,971

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