Statistical quality assessment of fingerprints
First Claim
1. A method to analyze a fingerprint image corresponding to a human fingerprint of a human subject, the fingerprint image including ridges and valleys, the method being performed by execution of computer readable program code by a processor of a computer system, the method comprising:
- receiving a first fingerprint image corresponding to the human fingerprint of the human subject;
processing the first fingerprint image to segment the image into at least a plurality of subsets;
for each of the subsets;
determining a measure associated with fingerprint ridges and fingerprint valleys in the each of the subsets, andbased on the measure, assigning the each of the subsets to at least one of a plurality of categories;
assessing an overall acceptability of the first fingerprint image by analyzing at least one of the plurality of categories; and
causing capture of a second fingerprint image from the human subject if the overall acceptability of the fingerprint image is at or below predetermined criteria to process the first captured image.
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Accused Products
Abstract
The present invention relates generally to human fingerprints. More specifically the present invention relates to assessing the quality of a fingerprint image. An assessment is made by analyzing characteristics of image sub-regions. For example, the characteristics may include statistics that are associated with a sub-region. If a sub-region is found to have unacceptable characteristics, it can be modified through a morphological operation to compensate for the unacceptable characteristics.
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Citations
16 Claims
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1. A method to analyze a fingerprint image corresponding to a human fingerprint of a human subject, the fingerprint image including ridges and valleys, the method being performed by execution of computer readable program code by a processor of a computer system, the method comprising:
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receiving a first fingerprint image corresponding to the human fingerprint of the human subject; processing the first fingerprint image to segment the image into at least a plurality of subsets; for each of the subsets; determining a measure associated with fingerprint ridges and fingerprint valleys in the each of the subsets, and based on the measure, assigning the each of the subsets to at least one of a plurality of categories; assessing an overall acceptability of the first fingerprint image by analyzing at least one of the plurality of categories; and causing capture of a second fingerprint image from the human subject if the overall acceptability of the fingerprint image is at or below predetermined criteria to process the first captured image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method to analyze a fingerprint image, the fingerprint image including ridges and valleys, the method being performed by execution of computer readable program code by a processor of a computer system, the method comprising:
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receiving a first fingerprint image corresponding to the human fingerprint of the human subject; processing the first fingerprint image to segment the image into at least a plurality of subsets; for each of the subsets; determining a measure associated with fingerprint ridges and fingerprint valleys in the each of the subsets, and based on the measure assigning the each of the subsets to at least one of a plurality of categories; identifying from the plurality of subsets one or more subsets corresponding to a fingerprint core, and weighing the identified one or more subsets corresponding to the fingerprint core more significantly relative to subsets that do not correspond to the fingerprint core; assessing an overall acceptability of the first fingerprint image by analyzing at least one of the plurality of categories; causing capture of a second fingerprint image from the human subject if the overall acceptability of the first fingerprint image is at or below predetermined criteria to process the first captured image.
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10. A method to analyze a fingerprint image, the fingerprint image including ridges and valleys, the method being performed by execution of computer readable program code by a processor of a computer system, the method comprising:
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receiving a first fingerprint image corresponding to the human fingerprint of the human subject; segmenting the first fingerprint image into at least a plurality of subsets; and for each of the subsets; determining a statistical measure associated with fingerprint ridges and fingerprint valleys in the each of the subsets, wherein the statistical measure comprises at least a standard deviation of ridge thickness and a standard deviation of valley thickness, and based on the statistical measure, assigning the each of the subsets to at least one of a plurality of categories; and causing capture of a second fingerprint image to process the second captured image based on a quality associated with the fingerprint image computed based on the assigning of the each of the subsets to the at least one of the plurality of categories. - View Dependent Claims (11)
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12. A method of determining whether to accept a first fingerprint image or to cause capture of a second fingerprint image, the first fingerprint and second fingerprint images comprising a representation of a same human fingerprint, the fingerprint including ridges and valleys, the method being performed by execution of computer readable program code by a processor of a computer system, the method comprising:
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determining statistical values that are associated with at least some of the ridges and valleys; comparing the determined statistical values to predetermined acceptance criteria; performing a determination if a computed quality associated with the first fingerprint image is acceptable based on at least the comparing; and based on at least the determination, causing the capture of the second fingerprint image to process the second captured fingerprint image. - View Dependent Claims (13, 14, 15, 16)
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Specification