# US 11,443,548 B2 · Fake-finger determination device, fake-finger determination method and fake-finger determination program

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- Number: US 11,443,548 B2
- Document ID: US11443548B2
- Status: Granted
- Kind: B2
- Application number: 16/679,557
- Filed: 2019-11-11
- Published: 2020-03-05
- Granted: 2022-09-13
- Earliest claimed: 2009-11-10
- Assignees: NEC Corporation
- Applicants: NEC Corporation
- Inventors: Akira Monden
- Web page: https://patentgrep.com/patent/US11443548B2

## CPC

- G06V 40/1388: {using image processing}
- A61B 5/1172: using fingerprinting
- G06V 10/26: Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V 10/56: relating to colour
- G06V 40/1347: {Preprocessing; Feature extraction}
- G06V 40/1382: {Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger}
- G06V 40/1341: {Sensing with light passing through the finger}
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)

## Abstract

A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

## Claims

### Claim 1

A fake-finger determination device, comprising:
a memory storing instructions; and
a processor executing the instructions to perform:
detecting a remaining region on at least a part of the peripheral of the finger region of a captured image, the remaining region including a group of pixels which is not treated as a skin;
determining that an object is fake, based on presence of the remaining region;
classifying the captured image into a skin region and the remaining region based on colors of pixels and size of the region included in the captured image; and
determining whether or not a foreign substance is present on the object based on the size of the remaining region that is different from the finger region.