Fingerprint enrollment method and apparatus
AssigneeSamsung Electronics Co., Ltd.
InventorsKyuhong KIM, Namjoon KIM, Chang Kyu CHOI
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Abstract
A processor fingerprint enrollment method and apparatus is disclosed. A processor implemented fingerprint enrollment method includes performing a matching between a received input fingerprint image of a user and one or more enrolled fingerprint images, and selectively, based on a result of the matching identifying a matched enrolled fingerprint image from the one or more enrolled fingerprint image and based on a calculated degree of diversity in the fingerprint corresponding to an overlapping region between the input fingerprint image and the matched enrolled fingerprint image, storing the input fingerprint as another enrolled fingerprint image.
Claims29
A processor implemented fingerprint enrollment method comprising:
- performing a matching between a received input fingerprint image of a user and one or more enrolled fingerprint images to identify a matched enrolled fingerprint image from the one or more enrolled fingerprint images;
- extracting, corresponding to where the input fingerprint and the matched enrolled fingerprint are determined to overlap, a first shared region of the input fingerprint image and a second shared region of the identified matched enrolled fingerprint image overlapping the first shared region;
- and
- selectively, based on a calculated degree of diversity between the first shared region of the input fingerprint image and the second shared region of the matched enrolled fingerprint image, storing the input fingerprint as another enrolled fingerprint image.
A processor implemented fingerprint enrollment method comprising:
- comparing an input fingerprint image of a user to multiple enrolled fingerprint images, to recognize the input fingerprint image as having matched correspondence to an enrolled fingerprint of the user based on a result of the comparing;
- measuring respective degrees of diversity corresponding to one or more overlapping regions between the recognized input fingerprint image and one or matched enrolled fingerprint images of the multiple enrolled fingerprint images;
- and
- determining whether to enroll the input fingerprint image based on the measured respective degrees of diversity,
- wherein the respective degrees of diversity are calculated by calculating respective similarities between a first shared region of the input fingerprint image corresponding to the one or more overlapping regions and respective second shared regions of the one or more matched enrolled fingerprint images corresponding to the one or more overlapping regions.
A fingerprint enrollment apparatus comprising:
- a fingerprint sensor configured to receive an input fingerprint image of a user;
- and
- a processor configured to
- perform a matching of the input fingerprint image to one or more enrolled fingerprint images to identify a matched enrolled fingerprint image,
- extract, corresponding to where the input fingerprint and the matched enrolled fingerprint are determined to overlap, a first shared region of the input fingerprint image and a second shared region of the identified matched enrolled fingerprint image overlapping the first shared region,
- calculate a degree of diversity between the first shared region and the second shared region, and
- determine whether to store the input fingerprint image as another enrolled fingerprint image based on the calculated degree of diversity.
An enrollment apparatus comprising:
- a processor configured to
- perform a matching of an input bio-image of a user to one or more enrolled bio-images to identify a matched enrolled bio-image,
- extract, corresponding to where the input bio-image and the matched enrolled bio-image are determined to overlap, a first shared region of the input bio-image and a second shared region of the identified matched enrolled bio-image overlapping the first shared region,
- calculate a degree of diversity between the first shared region and the second shared region, and
- determine whether to store the input bio-image as another enrolled bio-image image based on the calculated degree of diversity.
Dependencies are inferred from the claim text.