System and method using a histogram and colospaces to generate a matrix barcode having a plurality of colors and an ultraviolent layer

US12255646B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12255646-B2
Application numberUS-202318371799-A
CountryUS
Kind codeB2
Filing dateSep 22, 2023
Priority dateMar 18, 2019
Publication dateMar 18, 2025
Grant dateMar 18, 2025

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Abstract

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Techniques to improve detection and security of images, including formation and detection of matrix-based images. A histogram may be used to determine a most prevalent color of a plurality of prevalent colors associated with an environment. A related plurality of colors may be determined based on the most prevalent plurality of colors and a colorspace conversion. A matrix barcode may be generated based on the related plurality of colors and an ultraviolet layer.

First claim

Opening claim text (preview).

The invention claimed is: 1. A computer-implemented method, comprising: determining, by a processor based on a histogram of an environment, a most prevalent color of a plurality of prevalent colors associated with the environment by mapping the most prevalent color and the plurality of prevalent colors according to a red-green-blue (RGB) colorspace; converting, by the processor, the RGB colorspace to another colorspace; determining, by the processor based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and generating, by the processor, a matrix barcode using the related plurality of colors and an ultraviolet layer. 2. The computer-implemented method of claim 1 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors. 3. The computer-implemented method of claim 1 , wherein the histogram is based on one or more images of the environment. 4. The computer-implemented method of claim 3 , further comprising: generating the histogram of the environment based on the one or more images of the environment. 5. The computer-implemented method of claim 1 , wherein the another colorspace includes a luminance channel, the method further comprising: removing the luminance channel from the another colorspace. 6. The computer-implemented method of claim 5 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace. 7. The computer-implemented method of claim 1 , wherein the matrix barcode is embedded with data, wherein the data is represented by a plurality of pixels associated in part with each of the ultraviolet layer and the related plurality of colors. 8. The computer-implemented method of claim 1 , wherein the matrix barcode is a fiducial marker for conveying spatial information, wherein the conveyed spatial information stems at least in part from the ultraviolet layer. 9. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a processor, cause the processor to: determine, based on a histogram of an environment, a most prevalent color of a plurality of prevalent colors associated with the environment by mapping the most prevalent color and the plurality of prevalent colors according to a red-green-blue (RGB) colorspace; convert the RGB colorspace to another colorspace; determine, based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and generate a matrix barcode using the related plurality of colors and an ultraviolet layer. 10. The computer-readable storage medium of claim 9 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors. 11. The computer-readable storage medium of claim 9 , wherein the histogram is based on one or more images of the environment. 12. The computer-readable storage medium of claim 11 , wherein the instructions further cause the processor to: generate the histogram of the environment based on the one or more images of the environment. 13. The computer-readable storage medium of claim 9 , wherein the another colorspace includes a luminance channel, wherein the instructions further cause the processor to: remove the luminance channel from the another colorspace. 14. The computer-readable storage medium of claim 13 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace. 15. The computer-readable storage medium of claim 9 , wherein the matrix barcode is embedded with data, wherein the data is represented by a plurality of pixels associated in part with each of the ultraviolet layer and the related plurality of colors. 16. A computing apparatus comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the processor to: determine, based on a histogram of an environment, a most prevalent color of a plurality of prevalent colors associated with the environment by mapping the most prevalent color and the plurality of prevalent colors according to a red-green-blue (RGB) colorspace; convert the RGB colorspace to another colorspace; determine, based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and generate a matrix barcode using the related plurality of colors and an ultraviolet layer. 17. The computing apparatus of claim 16 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors. 18. The computing apparatus of claim 16 , wherein the histogram is based on one or more images of the environment. 19. The computing apparatus of claim 18 , wherein the instructions further cause the processor to: generate the histogram of the environment based on the one or more images of the environment. 20. The computing apparatus of claim 16 , wherein the another colorspace includes a luminance channel, wherein the instructions further cause the processor to: remove the luminance channel from the another colorspace.

Assignees

Inventors

Classifications

  • by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis · CPC title

  • relating to colour · CPC title

  • 2D bar codes · CPC title

  • using a selected wavelength, e.g. to sense red marks and ignore blue marks · CPC title

  • using histogram techniques · CPC title

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What does patent US12255646B2 cover?
Techniques to improve detection and security of images, including formation and detection of matrix-based images. A histogram may be used to determine a most prevalent color of a plurality of prevalent colors associated with an environment. A related plurality of colors may be determined based on the most prevalent plurality of colors and a colorspace conversion. A matrix barcode may be generat…
Who is the assignee on this patent?
Capital One Services Llc
What technology area does this patent fall under?
Primary CPC classification G06K19/0614. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 18 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).