Device and method for internally and externally assessing whitelists

• US 8,929,613 B2
• Filed: 06/03/2011
• Issued: 01/06/2015
• Est. Priority Date: 09/27/2010
• Status: Active Grant

• Current Assignee: Panasonic Intellectual Property Management Co., Ltd. (Panasonic Holdings Corporation)
• Original Assignee: Panasonic Intellectual Property Management Co., Ltd. (Panasonic Holdings Corporation)
• Inventors: Yoshio, Hiroaki
• Primary Examiner(s): Carter, Aaron W
• Application Number:
  US13/876,028
• Publication Number:
  US 20130177238A1
• Time in Patent Office: 1,313 Days
• Field of Search: 382115-127, 340 58- 586, 356/71, 713/186, 902/3
• US Class Current: 382/115
• CPC Class Codes: G06F 18/25 Fusion techniques
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: Y10S 902/03 Evaluates biometrics

Abstract

A white list inside or outside determining apparatus includes: a first feature data extracting unit which extracts first feature data from an image by using a first transformation formula created based on preliminary learning images; a second feature data extracting unit which extracts second feature data from an image by using a second transformation formula created from the preliminary learning images and application learning images; a first matching unit which performs matching between a registration image and a collation image by using the first transformation formula; and a second matching unit which performs matching between a registration image and a collation image by using the second transformation formula. Weights of a matching result of the first matching unit and a matching result of the second matching unit are changed according to the number of preliminary learning images and the number of application learning images.

Claims

1. A white list inside or outside determining apparatus comprising:

a first feature data extracting unit which extracts first feature data from an image by using a first transformation formula created based on a plurality of preliminary learning images;

a second feature data extracting unit which extracts second feature data from an image by using a second transformation formula created from the preliminary learning images and a plurality of application learning images;

a first matching unit which performs matching between a registration image and a collation image by using the first transformation formula; and

a second matching unit which performs matching between a registration image and a collation image by using the second transformation formula,

wherein weights of a matching result of the first matching unit and a matching result of the second matching unit are changed according to the number of preliminary learning images and the number of application learning images.

2. The white list inside or outside determining apparatus according to claim 1,

wherein the weight of the matching result of the second matching unit is decreased as the number of application learning images becomes smaller.

3. The white list inside or outside determining apparatus according to claim 1,

wherein the collation image is registered as the registration image when a degree of similarity is larger than a predetermined threshold value.

4. A white list inside or outside determining method comprising:

extracting first feature data from an image by using a first transformation formula created based on a plurality of preliminary learning images;

extracting second feature data from an image by using a second transformation formula created from the preliminary learning images and a plurality of application learning images;

performing a first matching between a registration image and a collation image by using the first transformation formula; and

performing a second matching between a registration image and a collation image by using the second transformation formula,

wherein weights of a matching result of the first matching and a matching result of the second matching are changed according to the number of preliminary learning images and the number of application learning images.