US8050463B2 — Iris recognition system having image quality metr…

Claim 1

Independent Claim 87 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; and a data-processing apparatus; a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein the quality assessment of the iris image includes an assessment of image blur; and image blur is measured according to high frequency distortions from coarse to fine wavelet coefficients.

Claim 2

Dependent Claim 87 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; and a data-processing apparatus; a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein the quality assessment of the iris image includes an assessment of image blur; and image blur is measured according to high frequency distortions from coarse to fine wavelet coefficients.

Claim 3

Dependent Claim 38 words

The system of claim 1 , wherein the quality assessment of an iris image further includes an analysis of one or more of the following image conditions which comprise: defocus; closure; obscuration; off-angle detection; reflection; and/or excessive dilation.

Claim 4

Dependent Claim 54 words

The system of claim 1 , wherein a quality assessment of the iris image includes an analysis of the iris image relative to iris obscuration including a computation of an integral of virtually total area between an eyelid curve and an iris inner boundary of an eye from which the iris image is taken.

Claim 5

Dependent Claim 39 words

The system of claim 1 , wherein a quality assessment of the iris image includes an analysis based on an XOR-ing of codes of two patches of the iris image to measure a discrepancy among bits of the patches.

Claim 6

Dependent Claim 47 words

The system of claim 1 , wherein a quality assessment of the iris image includes an analysis based on measuring similarity of two patches of the iris image using contrast similarity, intensity distribution similarity, peak signal to noise ratio, and/or correlation between intensities of the two patches.

Claim 7

Dependent Claim 42 words

The system of claim 1 , wherein a quality assessment of the iris image includes an analysis of the iris image relative to an amount of reflection by the iris in the image including an iris curve fitting and a contrast thresholding.

Claim 8

Dependent Claim 168 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein a quality measurement relative to blur and/or defocus of the iris image is based on a measurement of energy at high frequencies of the spectral domain of the image; wherein the measurement of energy at high frequencies of the spectral domain of the image is compared to a measurement of energy at high frequencies of the spectral domain of the image without blur and/or defocus; and an amount that the energy at high frequencies of the spectral domain of the image is less than the energy at high frequencies of the spectral domain of the image without blur and/or defocus is proportional to the blur and/or defocus of the image.

Claim 9

Dependent Claim 168 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein a quality measurement relative to blur and/or defocus of the iris image is based on a measurement of energy at high frequencies of the spectral domain of the image; wherein the measurement of energy at high frequencies of the spectral domain of the image is compared to a measurement of energy at high frequencies of the spectral domain of the image without blur and/or defocus; and an amount that the energy at high frequencies of the spectral domain of the image is less than the energy at high frequencies of the spectral domain of the image without blur and/or defocus is proportional to the blur and/or defocus of the image.

Claim 10

Dependent Claim 121 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein the quality assessment of the iris image is according to blur; blur is measured according to high frequency distortions from coarse to fine wavelet coefficients; and wherein the high frequency distortions among the coarse to fine wavelet coefficients are indicated by a comparison of linear frequency distortion filter outputs at multiple stages of a dyadic decomposition to measure a discrepancy among the stages.

Claim 11

Dependent Claim 121 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein the quality assessment of the iris image is according to blur; blur is measured according to high frequency distortions from coarse to fine wavelet coefficients; and wherein the high frequency distortions among the coarse to fine wavelet coefficients are indicated by a comparison of linear frequency distortion filter outputs at multiple stages of a dyadic decomposition to measure a discrepancy among the stages.

Claim 12

Dependent Claim 103 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein the quality assessment of the iris image is according to blur; blur is measured according to high frequency distortions from coarse to fine wavelet coefficients; and wherein high frequency content is compared at wavelet decompositions between two patches of the iris image for similarity purposes.

Claim 13

Dependent Claim 103 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; wherein the quality assessment of the iris image is according to blur; blur is measured according to high frequency distortions from coarse to fine wavelet coefficients; and wherein high frequency content is compared at wavelet decompositions between two patches of the iris image for similarity purposes.

Claim 14

Dependent Claim 39 words

The system of claim 1 , wherein a quality assessment of the iris image includes an analysis of the iris image relative to eye closure including an analysis of an inner border profile of the iris in the image.

Claim 15

Dependent Claim 47 words

The system of claim 10 , wherein the inner border profile is estimated according to a measurement of an amount that a detected curve of the profile is similar to an elliptic-like shape, and a measurement of an amount of exposure of a map of the iris.

Claim 16

Dependent Claim 92 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; and wherein a quality assessment of the iris image is according to a comparison of a location of edges of the pupil with a set of defined limits for normal operation of a pupil dilation.

Claim 17

Dependent Claim 92 words

A computer implemented iris image quality metric system comprising: a device for acquiring an iris image; a data-processing apparatus; and a quality processing module connected to the device; wherein the quality processing module is executed by the data-processing apparatus, the module and data-processing apparatus are operated in combination to provide a quality assessment of an iris image; and wherein a quality assessment of the iris image is according to a comparison of a location of edges of the pupil with a set of defined limits for normal operation of a pupil dilation.

Claim 18

Dependent Claim 134 words

A computer implemented iris image preprocessing system comprising: a device for acquiring an iris image; a data-processing apparatus; an iris image module executed by the data-processing apparatus; an iris image quality measurement module executed by the data-processing apparatus and connected to the iris image module; an evaluator connected to the iris image module; a rehabilitator connected to the evaluator; wherein: the evaluator receives a quality measurement of an iris image from the quality measurement module, indicates whether the iris image is acceptable or unacceptable for further processing, and indicates whether an iris image that is unacceptable should be rejected or be rehabilitated for further processing; and the rehabilitator conditions the image by one or more of pixel processing, contrast balancing, histogram equalization, image blind deblurring, adaptive filtering for iris texture restoration, and pose normalization.

Claim 19

Dependent Claim 134 words

A computer implemented iris image preprocessing system comprising: a device for acquiring an iris image; a data-processing apparatus; an iris image module executed by the data-processing apparatus; an iris image quality measurement module executed by the data-processing apparatus and connected to the iris image module; an evaluator connected to the iris image module; a rehabilitator connected to the evaluator; wherein: the evaluator receives a quality measurement of an iris image from the quality measurement module, indicates whether the iris image is acceptable or unacceptable for further processing, and indicates whether an iris image that is unacceptable should be rejected or be rehabilitated for further processing; and the rehabilitator conditions the image by one or more of pixel processing, contrast balancing, histogram equalization, image blind deblurring, adaptive filtering for iris texture restoration, and pose normalization.

Claim 20

Dependent Claim 31 words

The system of claim 13 , further comprising an image segmentation module connected to the iris image module, the image segmentation module performing one dimensional polar segmentation on the iris image.

Claim 21

Dependent Claim 120 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; determining whether an iris image, which is not adequate relative to the at least one quality for further processing, is adequate for rehabilitation; if the iris image is adequate for rehabilitation, conditioning the image by one or more of pixel processing, contrast balancing, histogram equalization, image blind deblurring, adaptive filtering for iris texture restoration, and pose normalization.

Claim 22

Dependent Claim 120 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; determining whether an iris image, which is not adequate relative to the at least one quality for further processing, is adequate for rehabilitation; if the iris image is adequate for rehabilitation, conditioning the image by one or more of pixel processing, contrast balancing, histogram equalization, image blind deblurring, adaptive filtering for iris texture restoration, and pose normalization.

Claim 23

Dependent Claim 131 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; measuring a first energy, at high frequencies, of the spectral domain of the iris image; determining a second energy, at high frequencies, of the spectral domain of a model iris image which is adequate for further processing; and wherein if the first energy is within a set percentage of the second energy, then the iris image is adequate, relative to the at least one quality, for further processing.

Claim 24

Dependent Claim 131 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; measuring a first energy, at high frequencies, of the spectral domain of the iris image; determining a second energy, at high frequencies, of the spectral domain of a model iris image which is adequate for further processing; and wherein if the first energy is within a set percentage of the second energy, then the iris image is adequate, relative to the at least one quality, for further processing.

Claim 25

Dependent Claim 133 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; obtaining two different localized patches from an iris code of the iris image; XOR-ing the two patches; measuring an amount of discrepancy among cross-matched bits of the two patches; determining whether the amount of discrepancy is greater than a set amount; and wherein if the amount of discrepancy is greater than a set amount, then the iris image is adequate, relative to the at least one quality, for further processing.

Claim 26

Dependent Claim 133 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; obtaining two different localized patches from an iris code of the iris image; XOR-ing the two patches; measuring an amount of discrepancy among cross-matched bits of the two patches; determining whether the amount of discrepancy is greater than a set amount; and wherein if the amount of discrepancy is greater than a set amount, then the iris image is adequate, relative to the at least one quality, for further processing.

Claim 27

Dependent Claim 179 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; measuring an amount of difference between the inner border profile in the iris image and an elliptic-like shape; and measuring a percentage of the iris map of the iris image that is exposed; and wherein: if the amount of difference is less than a set difference for an iris image adequate for further processing relative to the at least one quality, then the image is adequate for further processing relative to the at least one quality; and if the percentage is greater than a set percentage for an iris image adequate for further processing relative to the at least one quality, then the image is adequate for further processing relative to the at least one quality.

Claim 28

Dependent Claim 179 words

A computer implemented method for assessing quality of an image comprising: receiving an iris image from an iris image acquiring device; measuring at least one quality of the iris image using a data-processing apparatus including a quality processing module; evaluating the at least one quality to determine whether the iris image is adequate relative to the at least one quality for further processing; measuring an amount of difference between the inner border profile in the iris image and an elliptic-like shape; and measuring a percentage of the iris map of the iris image that is exposed; and wherein: if the amount of difference is less than a set difference for an iris image adequate for further processing relative to the at least one quality, then the image is adequate for further processing relative to the at least one quality; and if the percentage is greater than a set percentage for an iris image adequate for further processing relative to the at least one quality, then the image is adequate for further processing relative to the at least one quality.

Annuity Stage	Window Opens	Payment Deadline	Surcharge Period Until	Estimated Fee	Status
3.5 Years (Year 4)	2014-10-31	2015-05-02	2015-11-01	$2000.00	Window Closed / Lapsed
7.5 Years (Year 8)	2018-10-31	2019-05-02	2019-11-01	$3760.00	Window Closed / Lapsed
11.5 Years (Year 12)	2022-10-31	2023-05-02	2023-11-01	$7700.00	Window Closed / Lapsed

Iris recognition system having image quality metrics

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