Method and apparatus with fake fingerprint detection
AssigneeSamsung Electronics Co., Ltd.
InventorsJiwhan KIM, Sungun PARK, Kyuhong KIM, Geuntae BAE
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Abstract
A processor-implemented method includes: obtaining an enrollment fingerprint embedding vector corresponding to an enrollment fingerprint image; and generating a virtual enrollment fingerprint embedding vector, wherein the virtual enrollment fingerprint embedding vector has an environmental characteristic different from an environmental characteristic of the enrollment fingerprint image, and has a structural characteristic of the enrollment fingerprint image.
Claims25
A processor-implemented method, comprising:
- obtaining an enrollment fingerprint embedding vector corresponding to an enrollment fingerprint image;
- and
- generating a virtual enrollment fingerprint embedding vector, wherein the virtual enrollment fingerprint embedding vector has an environmental characteristic different from an environmental characteristic of the enrollment fingerprint image, and has a structural characteristic of the enrollment fingerprint image.
A processor-implemented method, method comprising:
- receiving an input fingerprint image;
- and
- determining whether an input fingerprint included in the input fingerprint image is a fake fingerprint, based on a fake fingerprint embedding vector, an enrollment fingerprint embedding vector, and a virtual enrollment fingerprint embedding vector that are provided in advance,
- wherein the enrollment fingerprint embedding vector is obtained based on an enrollment fingerprint image, and the virtual enrollment fingerprint embedding vector is generated by inputting the enrollment fingerprint image to an artificial neural network (ANN).
An apparatus, comprising:
- one or more processors configured to:
- obtain an enrollment fingerprint embedding vector corresponding to an enrollment fingerprint image;
- and
- generate a virtual enrollment fingerprint embedding vector, wherein the virtual enrollment fingerprint embedding vector has an environmental characteristic different from an environmental characteristic of the enrollment fingerprint image, and has a structural characteristic of the enrollment fingerprint image.
An apparatus, the apparatus comprising:
- a sensor configured to receive an input fingerprint image;
- and
- one or more processors configured to determine whether an input fingerprint included in the input fingerprint image is a fake fingerprint, based on a fake fingerprint embedding vector, an enrollment fingerprint embedding vector, and a virtual enrollment fingerprint embedding vector that are provided in advance,
- wherein the enrollment fingerprint embedding vector is obtained based on an enrollment fingerprint image, and the virtual enrollment fingerprint embedding vector is generated by inputting the enrollment fingerprint image to an artificial neural network (ANN).
A processor-implemented method, comprising:
- obtaining an enrollment fingerprint embedding vector corresponding to an enrollment fingerprint image;
- generating a first virtual enrollment fingerprint embedding vector having a structural characteristic of the enrollment fingerprint image and an environmental characteristic corresponding to a dry fingerprint;
- and
- generating a second virtual enrollment fingerprint embedding vector having the structural characteristic of the enrollment fingerprint image and an environmental characteristic corresponding to a wet fingerprint.
Dependencies are inferred from the claim text.