Fingerprint representation using gradient histograms
First Claim
1. A method for generating a gradient characterization for a first fingerprint image of an individual, the method comprising:
- selecting one or more fingerprint feature points from the first fingerprint image, wherein selecting a feature point includes selecting a fingerprint feature that is unique to the individual;
obtaining a region for each of the one or more selected fingerprint feature points, wherein each obtained region is a representation of an area proximate a given selected fingerprint feature point;
dividing each of the obtained regions into a plurality of sub-regions;
for each obtained region, generating a gradient histogram for each of the plurality of sub-regions associated with the obtained region; and
combining the generated gradient histograms for the plurality of sub-regions of a given region into a concatenated gradient histogram representative of the given region, wherein the concatenated gradient histogram is used for identification purposes.
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Accused Products
Abstract
Techniques for generating a gradient characterization for a first fingerprint image are provided. One or more fingerprint feature points are selected from the first fingerprint image. A region is obtained for each of the one or more selected fingerprint feature points. The region is a representation of an area proximate a given fingerprint feature point. Each of the obtained regions is divided into a plurality of sub-regions. A histogram is generated for each of the plurality of sub-regions. For each of the one or more selected fingerprint feature points, the one or more generated histograms are combined into a concatenated histogram. The concatenated histogram is used for identification purposes.
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Citations
20 Claims
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1. A method for generating a gradient characterization for a first fingerprint image of an individual, the method comprising:
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selecting one or more fingerprint feature points from the first fingerprint image, wherein selecting a feature point includes selecting a fingerprint feature that is unique to the individual; obtaining a region for each of the one or more selected fingerprint feature points, wherein each obtained region is a representation of an area proximate a given selected fingerprint feature point; dividing each of the obtained regions into a plurality of sub-regions; for each obtained region, generating a gradient histogram for each of the plurality of sub-regions associated with the obtained region; and combining the generated gradient histograms for the plurality of sub-regions of a given region into a concatenated gradient histogram representative of the given region, wherein the concatenated gradient histogram is used for identification purposes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus for generating a gradient characterization for a first fingerprint image of an individual, the apparatus comprising:
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a memory; and at least one processor coupled to the memory and operative to; select one or more fingerprint feature points from the first fingerprint image, wherein selecting a feature point includes selecting a fingerprint feature that is unique to the individual; obtain a region for each of the one or more selected fingerprint feature points, wherein each obtained region is a representation of an area proximate a given selected fingerprint feature point; divide each of the obtained regions into a plurality of sub-regions; for each obtained region, generate a gradient histogram for each of the plurality of sub-regions associated with the obtained region; and combine the generated gradient histograms for the plurality of sub-regions of a given region into a concatenated gradient histogram representative of the given region, wherein the concatenated gradient histogram is used for identification purposes. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A system comprising:
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a memory for storing program instructions for a biometric identification system, the program instructions being executable by a computer processing system to implement; a feature locator for selecting one or more fingerprint feature points from the first fingerprint image of an individual, wherein selecting a feature point includes selecting a fingerprint feature that is unique to the individual; a feature summarizer for obtaining a region for each of the one or more selected fingerprint feature points, wherein each obtained region is a representation of an area proximate a given selected fingerprint feature point; a feature divider for dividing each of the obtained regions into a plurality of sub-regions; a histogram generator for generating, for each obtained region, a gradient histogram for each of the plurality of sub-regions associated with the obtained region; and a histogram concatenator for combining the generated gradient histograms for the plurality of sub-regions of is given region into a concatenated gradient histogram representative of the given region, wherein the concatenated gradient histogram is used for identification purposes.
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Specification