Signal-to-noise ratio image validation
AssigneeNCR Corporation
InventorsSik Piu Kwan, Yoshitaka Utsumi
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Abstract
An image is compared to a validation image to obtain a signal-to-noise ratio. The signal-to-noise ratio is used to determine validity of the image. According to an embodiment, the image includes a barcode. According to another embodiment, a minimum threshold value for the signal-to-noise ratio is set and the validity of the image is determined based on the minimum threshold value and the signal-to-noise ratio. The minimum threshold value can be determined by using respective signal-to-noise ratios resulting from comparing a valid image to a validation image and an invalid image to a validation image.
Claims14
A method, comprising:
- capturing an image;
- cropping the image by removing an entire machine readable code from the image to obtain a cropped image, wherein the cropped image includes a first area surrounding the machine readable code;
- comparing, by a processor circuit, the first area of the cropped image to a second area of a validation image to obtain a signal-to-noise ratio of the first area to the second area, wherein the second area of the validation image surrounds a validation machine readable code of the validation image;
- obtaining a predetermined minimum threshold value, wherein the minimum threshold value is determined from at least one signal-to-noise ratio for a valid image compared to the validation image and at least one signal-to-noise ratio for an invalid image compared to the validation image;
- and
- determining validity of the image by comparing the signal-to-noise ratio to the minimum threshold value.
A Point Of Sale (POS) terminal, comprising:
- a scanner configured to capture an image;
- a validation module configured to:
- crop the image by removing an entire machine readable code from the image to obtain a cropped image, wherein the cropped image includes a first area surrounding the machine readable code;
- compare the first area of the cropped image to a second area of a validation image to produce a signal-to-noise ratio of the first area to the second area, wherein the second area of the validation image surrounds a validation machine readable code of the validation image;
- and
- obtain a predetermined minimum threshold value, wherein the minimum threshold value is determined from at least one signal-to-noise ratio for a valid image compared to the validation image and at least one signal-to-noise ratio for an invalid image compared to the validation image;
- determine validity of the image by comparing the signal-to-noise ratio to the minimum threshold value.
A method, comprising:
- capturing an image;
- cropping the image by removing an entire machine readable code from the image to obtain a cropped image, wherein the cropped image includes a first area surrounding the machine readable code;
- comparing, by a Point Of Sale (POS) terminal, the first area of the cropped image to a second area of a validation image to obtain a signal-to-noise ratio of the first area to the second area, wherein the second area of the validation image surrounds a validation machine readable code of the validation image;
- obtaining a predetermined minimum threshold value, wherein the minimum threshold value is determined from at least one signal-to-noise ratio for a valid image compared to the validation image and at least one signal-to-noise ratio for an invalid image compared to the validation image;
- and
- determining validity of the image by comparing the signal-to-noise ratio to the minimum threshold value.
Dependencies are inferred from the claim text.