IP Library › Granted Patent US 12,525,053
Granted Patent B2
US 12,525,053 · App. 18/199,698 · Granted Jan 13, 2026

Detection system, detection method, and computer-readable recording medium

Inventor: Akinori Ebihara (Tokyo, JP)
Assignee: NEC CORPORATION
G06V40/161G06V10/141G06V10/50G06V10/806G06V40/168G06V40/193G06V40/40G06V40/70
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Quick Facts
Patent No.
US 12,525,053
App. No.
18/199,698
Granted
Jan 13, 2026
Kind
B2
Abstract

A spoofing detection apparatus includes a face image obtaining unit that obtains a first image frame that includes the face of a person when emitting light and a second image frame that includes the face of the person when not emitting light, a face information extraction unit that extract, from the first image frame, a first face information specifying a face portion, and extract, from the second image frame, a second face information specifying a face portion, a feature calculation unit that extracts a portion that includes a bright point in an iris region of an eye based on the first face information, extracts a portion corresponding to the portion that includes the bright point based on the second face information, and calculates a feature that is independent of the position of the bright point, and a spoofing determination unit that determines authenticity of person based on the feature.

Claims (34)

1 . A detection system comprising:

at least one memory storing instructions; and

at least one processor connected to the memory and configured to execute the instructions to:

control a light-emitting apparatus and an image capture apparatus to obtain a first face image when light is emitted by the light emitting-apparatus and a second face image when light from the light-emitting apparatus is turned off;

convert a face image into a feature that is independent of a position of a bright point of an iris region in the face image;

calculate the feature by calculating differences between a luminance value of each pixel of an iris image of the first face image and a luminance value of each pixel of an iris image of the second face image and sorting the calculated differences in one of ascending order and descending order; and

determine an authenticity using a feature converted from the first image with a feature converted from the second image.

2 . The detection system according to claim 1 ,

further at least one processor configured to execute the instructions to

obtain a difference between a luminance distribution of the first face image and a luminance distribution of the second face image,

calculate a second feature that is independent of a reflection coefficient based on the obtained difference, and

integrate the converted feature and the calculated second feature.

3 . The detection system according to claim 2 ,

further at least one processor configured to execute the instructions to

calculate the second feature by calculating ratios between a luminance value of each pixel of the first face image and a luminance value of each pixel of the second face image and sorting the calculated ratios in one of ascending order and descending order.

4 . The detection system according to claim 1 ,

further at least one processor configured to execute the instructions to

determine a reality of a face included in the first face image and the second face image using the feature converted from the first image with the feature converted from the second image,

stop a process of determining the authenticity for a face determined not to be real, and

continue the process of determining the authenticity for a face determined to be real.

5 . The detection system according to claim 1 ,

where a light-emitting period of the light-emitting apparatus is 300 milliseconds,

further at least one processor configured to execute the instructions to

obtain the first face image in 150 milliseconds after light emission is started and the second face image in 150 milliseconds after the light was turned off.

6 . A detection method comprising:

controlling a light-emitting apparatus and an image capture apparatus to obtain a first face image when light is emitted by the light emitting-apparatus and a second face image when light from the light-emitting apparatus is turned off;

converting a face image into a feature that is independent of a position of a bright point of an iris region in the face image;

calculating the feature by calculating differences between a luminance value of each pixel of an iris image of the first face image and a luminance value of each pixel of an iris image of the second face image and sorting the calculated differences in one of ascending order and descending order; and

determining an authenticity using a feature converted from the first image with a feature converted from the second image.

7 . A non-transitory computer-readable recording medium on which a program is recorded, the program comprising instructions that cause a computer to carry out:

controlling a light-emitting apparatus and an image capture apparatus to obtain a first face image when light is emitted by the light emitting-apparatus and a second face image when light from the light-emitting apparatus is turned off;

converting a face image into a feature that is independent of a position of a bright point of an iris region in the face image;

calculating the feature by calculating differences between a luminance value of each pixel of an iris image of the first face image and a luminance value of each pixel of an iris image of the second face image and sorting the calculated differences in one of ascending order and descending order; and

determining an authenticity using a feature converted from the first image with a feature converted from the second image.

Continuity (3)
Continuation 17515623 · Nov 1, 2021
Continuation 16964877
Related Publication 20230290178A1 · Sep 14, 2023
References Cited (23)
US 11200436B2 · Ebihara · 2021 [cited by applicant]
US 20100299530A1 · Bell · 2010 [cited by applicant]
US 20160117544A1 · Hoyos et al. · 2016 [cited by applicant]
US 20160379050A1 · Tian · 2016 [cited by applicant]
US 20170048244A1 · Loughlin-McHugh · 2017 [cited by applicant]
US 20170344793A1 · Xue et al. · 2017 [cited by applicant]
JP H11339048A · 1999 [cited by applicant]
JP 2006099614A · 2006 [cited by applicant]
JP 2007280367A · 2007 [cited by applicant]
JP 4609253B2 · 2011 [cited by applicant]
JP 2017016192A · 2017 [cited by applicant]
Chan, et al, “Face Liveness Detection Using a Flash Against 2D Spoofing Attack”, Oct. 2017, IEEE, pp. 521-534 (Year: 2017). [cited by examiner]
Kim, et al, “illumination normalisation using convolutional neural network with application to face recognition”, pp. 1-2, Electronics letter, 2017 (Year: 2017). [cited by examiner]
Sun et al, “Dual Camera Based Feature for Face Spoofing Detection”, CCIS, pp. 332-344, 2016 (Year: 2016). [cited by examiner]
International Search Report for PCT Application No. PCT/JP2018/006561, mailed on May 22, 2018. [cited by applicant]
P. Viola and M. Jones, “Rapid Object Detection Using a Boosted Cascade of Simple Features,” Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, 2001, pp. 5… [cited by applicant]
Y.Zhang, N.Sun, Y.Gao, and M.Cao, (2008), “A new eye location method based on Ring Gabor Filter”, In Automation and Logistics, 2008. ICAL2008. IEEE International Conference On, (IEEE), pp. 301-305. USA. [cited by applicant]
V. Vapnik and A. Lerner. Pattern recognition using generalized portrait method. Automation and Remote Control, 24, pp. 709-715, 1963, Russia. [cited by applicant]
English translation of Written opinion for PCT Application No. PCT/JP2018/006561, mailed on May 22, 2018. [cited by applicant]
Extended European Search Report for EP Application No. 18907036.0 dated on Jan. 28, 2021. [cited by applicant]
Kim Wonjun et al: “Face Liveness Detection From a Single Image via Diffusion Speed Model”, IEEE Transactions on Image Processing, IEE Service Center, Piscataway, NJ, US, vol. 24, No. 8, Aug. 1, 2015 (Aug. 1, 2015), pp. … [cited by applicant]
Chan Patrick P K et al: “Face Liveness Detection Using a Flash Against 2D Spoofing Attack”, IEEE Transactions on Information Forensics and Security, IEEE, Piscataway, NJ, US, vol. 13, No. 2, Oct. 2, 2017 (Oct. 2, 2017),… [cited by applicant]
Japanese Office Action for JP Application No. 2020-501932 mailed on Sep. 14, 2021 with English Translation. [cited by applicant]