Use of relatively permanent pigmented or vascular skin mark patterns in images for personal identification
AssigneeLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center
InventorsNoah Ames Craft, Wai Kin Adams Kong, Arfika Nurhudatiana
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Abstract
Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.
Claims24
A method comprising:
- point matching a first plurality of RPPVSMs in a first image with a second plurality of RPPVSMs in a second image;
- and
- calculating a correspondence probability that the first plurality of RPPVSMs and the second plurality of RPPVSMs are from different persons, wherein one of the point matching or the calculating is performed by a processor, and wherein calculating a correspondence probability includes using:
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- where C=πr2, A is a size of overlapped total skin area of two images containing RPPVSMs, r is a distance threshold between two RPPVSMs to be considered matching, and p is a number of matching RPPVSMs of the first and second images.
A non-transitory machine-readable medium having data therein which when accessed by a processor causes the processor to:
- point match a first plurality of RPPVSMs in a first image with a second plurality of RPPVSMs in a second image;
- and
- calculate a correspondence probability that the first plurality of RPPVSMs and the second plurality of RPPVSMs are from different persons, wherein calculating a correspondence probability includes using:
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- where C=πr2, A is a size of overlapped total skin area of two images containing RPPVSMs, r is a distance threshold between two RPPVSMs to be considered matching, and p is a number of matching RPPVSMs of the first and second images.
A system comprising:
- a processor;
- a digital image input;
- a memory coupled to said processor and containing code which when executed:
- point matches a first plurality of RPPVSMs in a first image with a second plurality of RPPVSMs in a second image;
- and
- calculates a correspondence probability that the first plurality of RPPVSMs and the second plurality of RPPVSMs are from different persons, wherein calculating a correspondence probability includes using:
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- where C=πr2, A is a size of overlapped total skin area of two images containing RPPVSMs, r is a distance threshold between two RPPVSMs to be considered matching, and p is a number of matching RPPVSMs of the first and second images.
Dependencies are inferred from the claim text.