Biometrics authentication device and biometrics authentication method

• US 9,898,673 B2
• Filed: 08/15/2016
• Issued: 02/20/2018
• Est. Priority Date: 03/25/2014
• Status: Active Grant

• Current Assignee: Fujitsu Frontech Limited (Fujitsu Limited)
• Original Assignee: Fujitsu Frontech Limited (Fujitsu Limited)
• Inventors: Suzuki, Tomoharu
• Primary Examiner(s): Tran, Phuoc
• Application Number:
  US15/236,990
• Publication Number:
  US 20160350608A1
• Time in Patent Office: 554 Days
• CPC Class Codes: G06F 18/2113 by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• 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 40/14 Vascular patterns

Abstract

A biometrics authentication device is configured so as to include: a PLDI (Principal-Line Dependent Index) generating unit that extracts directional features that respectively correspond to directions different from each other from an image, and generates a PLDI (Principal-Line Dependent Index) indicating dependency of a principal line on the basis of the directional features; a PLDI (Principal-Line Dependent Index) matching processing unit that determines a second degree of similarity between the PLDI and a registered PLDI; and a determining unit that determines identity by using a first degree of similarity.

Claims

1. A biometrics authentication device comprising:

a computer configured to execute a program, the computer having

a PLDI (Principal-Line Dependent Index) generating unit that extracts directional features that respectively correspond to directions different from each other from an image that has been input, and generates a PLDI (Principal-Line Dependent Index) obtained by dividing a difference between a maximum directional feature and a minimum directional feature from among the directional features by an average value of the directional features;

a PLDI (Principal-Line Dependent Index) matching processing unit that determines a first degree of similarity between the PLDI and a registered PLDI stored in a storing unit; and

a determining unit that determines identity by using the first degree of similarity.

2. The biometrics authentication device according to claim 1, the computer being further configured with:

a non-directional feature generation processing unit that extracts the directional features that respectively correspond to the directions different from each other from the image, and generates a non-directional feature, the non-directional feature being a maximum directional feature from among the directional features; and

a non-directional feature matching processing unit that determines a second degree of similarity between the non-directional feature and a registered non-directional feature stored in the storing unit, wherein

the determining unit applies a smaller weight on the first degree of similarity as the first degree of similarity attains a greater value, and determines the identity by using the first degree of similarity and the second degree of similarity.

3. A biometrics authentication method comprising:

extracting, by a computer, directional features that respectively correspond to directions different from each other from an image that has been input, and generating a PLDI (Principal-Line Dependent Index) obtained by dividing a difference between a maximum directional feature and a minimum directional feature from among the directional features by an average value of the directional features;

determining, by the computer, a first degree of similarity between the PLDI and a registered PLDI stored in a storing unit; and

determining, by the computer, identity by using the first degree of similarity.

4. The biometrics authentication method according to claim 3, comprising:

extracting, by the computer, the directional features that respectively correspond to the directions different from each other from the image, and generating a non-directional feature on the basis of the directional features, the non-directional feature being a maximum directional feature from among the directional features;

determining, by the computer, a second degree of similarity between the non-directional feature and a registered non-directional feature stored in the storing unit; and

applying, by the computer, a smaller weight on the first degree of similarity as the first degree of similarity attains a greater value, and determining the identity by using the first degree of similarity and the second degree of similarity.

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

extracting directional features that respectively correspond to directions different from each other from an image that has been input, and generating a PLDI (Principal-Line Dependent Index) the directional features obtained by dividing a difference between a maximum directional feature and a minimum directional feature from among the directional features by an average value of the directional features;

determining a first degree of similarity between the PLDI and a registered PLDI stored in a storing unit; and

determining identity by using the first degree of similarity.

6. The non-transitory computer-readable recording medium according to claim 5, the process comprising:

extracting the directional features that respectively correspond to the directions different from each other from the image, and generating a non-directional feature on the basis of the directional features, the non-directional feature being a maximum directional feature from among the directional features;

determining a second degree of similarity between the non-directional feature and a registered non-directional feature stored in the storing unit; and

applying a smaller weight on the first degree of similarity as the first degree of similarity attains a greater value, and determining the identity by using the first degree of similarity and the second degree of similarity.