Fingerprint recognition for low computing power applications
First Claim
1. A method for fingerprint recognition, comprising:
- capturing a first fingerprint image with a sensor;
calculating direction vectors for a plurality of pixels of the first fingerprint image;
locating characteristic points of the first fingerprint image in a first coordinate system;
determining that a fingerprint central nucleus of the first fingerprint image is a center point of adjacent pixels by calculating a minimum radius from a plurality of radii of curvature based on the direction vectors, the adjacent pixels being adjacent to the minimum radius,wherein the fingerprint central nucleus is expressed in the first coordinate system;
determining a second coordinate system so that its origin is located relative to the fingerprint central nucleus of the first fingerprint image;
mapping the characteristic points of the first fingerprint image to the second coordinate system; and
saving the fingerprint central nucleus and fingerprint characteristic points of the first fingerprint image expressed in the second coordinate system as a fingerprint template.
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Accused Products
Abstract
A method and apparatus are provided for improved fingerprint recognition. A fingerprint image associated with an authorized user can be captured with a sensor. Direction vectors for a plurality of pixels of the first fingerprint image are then calculated. Next, characteristic points of the fingerprint image are located in a first coordinate system. The fingerprint central nucleus is determined based on the calculated direction vectors, and is expressed in the first coordinate system. Subsequently, a second coordinate system having an origin located relative to the fingerprint central nucleus is determined. Thereafter, the characteristic points of the fingerprint image are mapped to the second coordinate system. Finally, the fingerprint central nucleus and fingerprint characteristic points expressed in the second coordinate system are saved as a fingerprint template.
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Citations
18 Claims
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1. A method for fingerprint recognition, comprising:
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capturing a first fingerprint image with a sensor; calculating direction vectors for a plurality of pixels of the first fingerprint image; locating characteristic points of the first fingerprint image in a first coordinate system; determining that a fingerprint central nucleus of the first fingerprint image is a center point of adjacent pixels by calculating a minimum radius from a plurality of radii of curvature based on the direction vectors, the adjacent pixels being adjacent to the minimum radius, wherein the fingerprint central nucleus is expressed in the first coordinate system; determining a second coordinate system so that its origin is located relative to the fingerprint central nucleus of the first fingerprint image; mapping the characteristic points of the first fingerprint image to the second coordinate system; and saving the fingerprint central nucleus and fingerprint characteristic points of the first fingerprint image expressed in the second coordinate system as a fingerprint template. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for fingerprint recognition, the system comprising:
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a fingerprint sensor configured to capture a first fingerprint image; a processor configured to; (a) calculate direction vectors for a plurality of pixels of the first fingerprint image; (b) locate characteristic points of the first fingerprint image in a first coordinate system; (c) determine that a fingerprint central nucleus is a center point of adjacent pixels by calculating a minimum radius from a plurality of radii of curvature based on the direction vectors the adjacent pixels being adjacent to the minimum radius; wherein the fingerprint central nucleus is expressed in the first coordinate system; (d) determine a second coordinate system whose so that its origin is located relative to the first central nucleus; and (e) map the characteristic points to the second coordinate system; and
atemporary storage unit for storing a fingerprint template, wherein the fingerprint template comprises the fingerprint central nucleus and fingerprint characteristic points of the first fingerprint image expressed in the second coordinate system. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A method for fingerprint recognition, comprising:
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capturing a first fingerprint image with a sensor; calculating direction vectors for a plurality of pixels of the first fingerprint image; locating characteristic points of the first fingerprint image in a first coordinate system; determining that a fingerprint central nucleus is a center point of adjacent pixels by calculating a minimum radius from a plurality of radii of curvature based on the direction vectors, the adjacent pixels being adjacent to the minimum radius; wherein the fingerprint central nucleus is expressed in the first coordinate system; determining a second coordinate system whose so that its origin is located relative to the first central nucleus; mapping the characteristic points of the first fingerprint image to the second coordinate system; saving the fingerprint central nucleus and fingerprint characteristic points of the first fingerprint image expressed in the second coordinate system as fingerprint template information; capturing a second fingerprint image with a sensor; calculating direction vectors for a plurality of pixels of the second fingerprint image; locating characteristic points of the second fingerprint image in the first coordinate system; determining a fingerprint central nucleus of the second fingerprint image based on the direction vectors of the second fingerprint image; wherein the fingerprint central nucleus of the second fingerprint image is expressed in the first coordinate system; mapping the characteristic points and the fingerprint central nucleus of the second fingerprint image to the second coordinate system; and comparing the characteristic points and the fingerprint central nucleus of the second fingerprint image to the stored fingerprint template information.
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Specification