BIOMETRICS INFORMATION REGISTRATION METHOD, BIOMETRICS AUTHENTICATION METHOD, BIOMETRICS INFORMATION REGISTRATION DEVICE AND BIOMETRICS AUTHENTICATION DEVICE

• US 20170000411A1
• Filed: 09/15/2016
• Published: 01/05/2017
• Est. Priority Date: 03/25/2014
• Status: Abandoned Application

• Current Assignee: Fujitsu Frontech Limited (Fujitsu Limited)
• Original Assignee: Fujitsu Frontech Limited (Fujitsu Limited)
• Inventors: Komura, Kazuhiro
• Application Number:
  US15/266,067
• Publication Number:
  US 20170000411A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2576/00 Medical imaging apparatus involving image processing or analysis A61B1/00009, A61B6/52 and A61B8/52 take precedence; image processing per se G06T; details of algorithms for analysing medical images G06T7/0012
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1171 based on the shapes or appearances of their bodies or parts thereof
• CPC Class Codes: A61B 5/489 Blood vessels
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06V 10/431 Frequency domain transformation; Autocorrelation
• CPC Class Codes: G06V 10/46 Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features colour feature extraction G06V10/56
• CPC Class Codes: G06V 10/478 Contour-based spectral representations or scale-space representations, e.g. by Fourier analysis, wavelet analysis or curvature scale-space [CSS]
• CPC Class Codes: G06V 10/507 Summing image-intensity values; Histogram projection analysis
• CPC Class Codes: G06V 10/758 Involving statistics of pixels or of feature values, e.g. histogram matching
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/12 Fingerprints or palmprints
• CPC Class Codes: G06V 40/1347 Preprocessing; Feature extraction
• CPC Class Codes: G06V 40/1365 Matching; Classification
• CPC Class Codes: G06V 40/14 Vascular patterns
• CPC Class Codes: G06V 40/50 Maintenance of biometric data or enrolment thereof
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

A biometrics information registration method for causing a computer to execute a process including extracting vein data representing a vein image and a feature amount from an image obtained by an image obtainment unit; and making a storage unit store the vein data and the feature amount, wherein the feature amount includes a first feature amount representing a relationship between two of a plurality of segments obtained by vectorizing the vein image.

Claims

1. A biometrics information registration method for causing a computer to execute a process comprising:

extracting vein data representing a vein image and a feature amount from an image obtained by an image obtainment unit; and

making a storage unit store the vein data and the feature amount, wherein

the feature amount includes a first feature amount representing a relationship between two of a plurality of segments obtained by vectorizing the vein image.

2. The biometrics information registration method according to claim 1, wherein

the first feature amount represents a frequency distribution of angles obtained by obtaining an angle between divisional segments respectively of the two segments for each of all combinations of divisional segments respectively of the two segments.

3. The biometrics information registration method according to claim 2, wherein

the first feature amount is obtained for each of a plurality of areas when the image is divided into the plurality of areas by a first division pattern.

4. The biometrics information registration method according to claim 1, wherein

the feature amount includes a second feature amount representing a frequency distribution of directions obtained by obtaining a direction of an angle between divisional segments respectively of the two segments for each of all combinations of divisional segments respectively of the two segments.

5. The biometrics information registration method according to claim 4, wherein

the second feature amount is obtained for each of a plurality of areas when the image is divided into the plurality of areas by a second division pattern.

6. The biometrics information registration method according to claim 1, wherein

the feature amount includes:

a third feature amount representing directionality and an amount of the vein image by using a frequency component;

a fourth feature amount representing directionality and an amount of the vein image by using an angle component;

a fifth feature amount representing a frequency distribution of curvature directions obtained by obtaining all curvature directions of two divisional segments adjacent in the vein segment;

a sixth feature amount representing a frequency distribution of inclinations obtained by obtaining inclinations of all divisional segments in the segment; and

a seventh feature amount representing a frequency distribution of the numbers of pixels corresponding to the vein image obtained for each of a plurality of areas when the image is divided into the plurality of areas by a third division pattern.

7. A biometrics authentication method for causing a computer to execute a process comprising:

extracting vein data representing a vein image and a feature amount from an image obtained by an image obtainment unit;

narrowing down a plurality of pieces of registered vein data stored in the storage unit on the basis of a comparison result between the extracted feature amount and a registered feature amount stored in the storage unit, and obtaining a degree of similarity between the pieces of registered vein data that were narrowed down and the extracted vein data; and

determining whether or not a subject is a person to be authenticated, on the basis of the obtained degree of similarity, wherein

the feature amount includes a first feature amount representing a relationship between two of a plurality of segments obtained by vectorizing the vein image.

8. The biometrics authentication method according to claim 7, wherein

the first feature amount represents a frequency distribution of angles obtained by obtaining an angle between divisional segments respectively of the two segments for each of all combinations of divisional segments respectively of the two segments.

9. The biometrics authentication method according to claim 8, wherein

the first feature amount is obtained for each of a plurality of areas when the image is divided into the plurality of areas by a first division pattern.

10. The biometrics authentication method according to claim 7, wherein

the feature amount includes a second feature amount representing a frequency distribution of directions obtained by obtaining a direction of an angle between divisional segments respectively of the two segments for each of all combinations of divisional segments respectively of the two segments.

11. The biometrics authentication method according to claim 10, wherein

the second feature amount is obtained for each of a plurality of areas when the image is divided into the plurality of areas by a second division pattern.

12. The biometrics authentication method according to claim 7, wherein

the feature amount includes:

a third feature amount representing directionality and an amount of the vein image by using a frequency component;

a fourth feature amount representing directionality and an amount of the vein image by using an angle component;

a fifth feature amount representing a frequency distribution of curvature directions obtained by obtaining all curvature directions of two divisional segments adjacent in the vein segment;

a sixth feature amount representing a frequency distribution of inclinations obtained by obtaining inclinations of all divisional segments in the segment; and

a seventh feature amount representing a frequency distribution of the numbers of pixels corresponding to the vein image obtained for each of a plurality of areas when the image is divided into the plurality of areas by a third division pattern.

13. A biometrics information registration device comprising:

a feature amount extraction unit to extract vein data representing a vein image and a feature amount from an image obtained by an image obtainment unit; and

a feature amount registration unit to make a storage unit store the vein data and the feature amount extracted by the feature amount extraction unit, wherein

the feature amount includes a first feature amount representing a relationship between two of a plurality of segments obtained by vectorizing the vein image.

14. A biometrics authentication device comprising:

a feature amount extraction unit to extract vein data representing a vein image and a feature amount from an image obtained by an image obtainment unit;

a matching unit to narrow down a plurality of pieces of registered vein data stored in the storage unit on the basis of a comparison result between the feature amount extracted by the feature amount extraction unit and a registered feature amount stored in the storage unit, and obtaining a degree of similarity between the pieces of registered vein data that were narrowed down and the vein data extracted by the feature amount extraction unit; and

a determination unit to determine whether or not a subject is a person to be authenticated, on the basis of the degree of similarity obtained by the matching unit, wherein

the feature amount includes a first feature amount representing a relationship between two of a plurality of segments obtained by vectorizing the vein image.

15. A non-transitory computer-readable recording medium which records a program for causing a computer to execute a process comprising:

extracting vein data representing a vein image and a feature amount from an image obtained by an image obtainment unit; and

making a storage unit store the extracted vein data and feature amount, wherein

the feature amount includes a first feature amount representing a relationship between two of a plurality of segments obtained by vectorizing the vein image.

16. A non-transitory computer-readable recording medium which records a program for causing a computer to execute a process comprising:

extracting vein data representing a vein image and a feature amount from an image obtained by an image obtainment unit;

narrowing down a plurality of pieces of registered vein data stored in the storage unit on the basis of a comparison result between the extracted feature amount and a registered feature amount stored in the storage unit, and obtaining a degree of similarity between the pieces of registered vein data that were narrowed down and the vein data extracted by the feature amount extraction unit; and

determining whether or not a subject is a person to be authenticated, on the basis of the obtained degree of similarity, wherein

the feature amount includes a first feature amount representing a relationship between two of a plurality of segments obtained by vectorizing the vein image.