JP2012248047A5 - - Google Patents
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- JP2012248047A5 JP2012248047A5 JP2011120052A JP2011120052A JP2012248047A5 JP 2012248047 A5 JP2012248047 A5 JP 2012248047A5 JP 2011120052 A JP2011120052 A JP 2011120052A JP 2011120052 A JP2011120052 A JP 2011120052A JP 2012248047 A5 JP2012248047 A5 JP 2012248047A5
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- 238000003384 imaging method Methods 0.000 claims 17
- 238000000034 method Methods 0.000 claims 2
- 230000001186 cumulative effect Effects 0.000 claims 1
Claims (8)
前記撮像部が撮像する明るさ条件を設定する明るさ条件設定部と、
演算部と、
を含み、
前記演算部は、
前記明るさ条件設定部で設定される複数の異なる明るさ条件において前記撮像部を用いてユーザーの生体パターンを撮像して得られる複数の画像から、
前記ユーザーの特徴量をそれぞれ抽出し、
前記生体パターンを特徴付ける特徴量が登録される所定の登録部に、前記ユーザーの特徴量を、前記複数の画像における出現頻度が高い特徴量ほど大きい重みを前記ユーザーの特徴量に対応付けて登録する登録動作と、
前記撮像部を用いて識別対象者の生体パターンを撮像して得られる画像から、
前記識別対象者の特徴量を抽出し、
前記識別対象者の特徴量、並びに、前記登録部に登録されている前記ユーザーの特徴量及び前記ユーザーの特徴量に対応付けられる重みに基づいて、前記識別対象者が前記ユーザーであるか否かを識別する識別動作と、
を行うことを特徴とする生体識別装置。 An imaging unit for imaging a biological pattern;
A brightness condition setting unit for setting a brightness condition to be captured by the imaging unit;
An arithmetic unit;
Including
The computing unit is
From a plurality of images obtained by imaging a user's biological pattern using the imaging unit under a plurality of different brightness conditions set by the brightness condition setting unit,
Extracting the user's feature quantities,
The user's feature quantity is registered in a predetermined registration unit in which the feature quantity characterizing the biometric pattern is registered in such a manner that a feature quantity having a higher appearance frequency in the plurality of images is associated with a weight that is greater than the user's feature quantity. Registration operation,
From an image obtained by imaging the biological pattern of the person to be identified using the imaging unit,
Extracting the feature quantity of the person to be identified;
Whether or not the identification target person is the user based on the feature quantity of the identification target person, the feature quantity of the user registered in the registration unit, and the weight associated with the feature quantity of the user Identifying action to identify,
The biometric identification device characterized by performing.
前記識別動作において撮像される前記識別対象者の生体パターンよりも、前記登録動作において撮像される前記ユーザーの生体パターンの方が、撮像範囲が大きいことを特徴とする生体識別装置。 The biometric identification device according to claim 1,
The biometric identification device characterized in that the biometric pattern of the user imaged in the registration operation has a larger imaging range than the biometric pattern of the person to be identified imaged in the identification operation.
前記登録部には、前記ユーザーの特徴量が複数登録され、
前記演算部は、
前記識別動作において、前記識別対象者のスコアを算出し、
前記識別動作において抽出された前記識別対象者の特徴量が、前記登録部に登録されている前記ユーザーの特徴量のうちのいずれかと類似する場合には、前記ユーザーの特徴量に対応付けられる重みに応じて前記識別対象者のスコアを増加させ、
前記識別対象者のスコアが所定の閾値よりも大きい場合に、前記識別対象者は前記ユーザーであると判断することを特徴とする生体識別装置。 The biometric identification device according to claim 1 or 2,
In the registration unit, a plurality of feature quantities of the user are registered,
The computing unit is
In the identification operation, the score of the identification target person is calculated,
A weight associated with the feature amount of the user when the feature amount of the identification target person extracted in the identification operation is similar to any of the feature amounts of the user registered in the registration unit And increasing the identification target's score according to
The biometric identification device according to claim 1, wherein the identification target person is determined to be the user when the score of the identification target person is greater than a predetermined threshold.
前記演算部は、
前記登録動作において、前記複数の画像から抽出された前記ユーザーの特徴量が互いに類似すると判断された場合に前記ユーザーの特徴量の重みを増加させ、
前記類似すると判断された累積の頻度が高い特徴量ほど、前記重みを大きく増加させることを特徴とする生体識別装置。 In the living body identification device according to any one of claims 1 to 3,
The computing unit is
In the registration operation, when it is determined that the user feature amounts extracted from the plurality of images are similar to each other, the user feature amount weight is increased,
The biometric identification device characterized in that the weight is greatly increased as the feature amount having a higher cumulative frequency determined to be similar.
前記特徴量が、SIFT(Scale Invariant Feature Transform)を用いて抽出されることを特徴とする生体識別装置。 In the living body identification device according to any one of claims 1 to 4,
The biometric identification device, wherein the feature amount is extracted using a SIFT (Scale Invariant Feature Transform).
前記ユーザーの特徴量をそれぞれ抽出し、
前記複数の画像における出現頻度が高い特徴量ほど大きい重みを前記特徴量に対応付けて、前記ユーザーの特徴量と共に登録することと、
識別対象者の生体パターンを撮像して得られる画像から、
前記識別対象者の特徴量を抽出し、
前記識別対象者の特徴量、並びに、登録されている前記ユーザーの特徴量及び前記ユーザーの特徴量に対応付けられる重みに基づいて、前記識別対象者が前記ユーザーであるか否かを識別することと、
を有することを特徴とする生体識別方法。 From multiple images obtained by imaging the user's biological pattern under multiple different brightness conditions,
Extracting the user's feature quantities,
Associating a higher weight with a feature amount that has a higher appearance frequency in the plurality of images, and registering it together with the feature amount of the user;
From the image obtained by imaging the biological pattern of the person to be identified,
Extracting the feature quantity of the person to be identified;
Identifying whether or not the identification target person is the user based on the feature quantity of the identification target person, the registered feature quantity of the user and the weight associated with the feature quantity of the user When,
A biometric identification method comprising:
前記撮像部が撮像する明るさ条件を設定する明るさ条件設定部と、
演算部と、
を含み、
前記演算部は、
前記明るさ条件設定部で設定される複数の異なる明るさ条件において前記撮像部を用いてユーザーの生体パターンを撮像して得られる複数の画像から、
前記ユーザーの特徴量をそれぞれ抽出し、
前記生体パターンを特徴付ける特徴量が登録される所定の登録部に、前記ユーザーの特徴量を、前記複数の画像における出現頻度が高い特徴量ほど大きい重みを前記ユーザーの特徴量に対応付けて登録することを特徴とする生体識別装置。 An imaging unit for imaging a biological pattern;
A brightness condition setting unit for setting a brightness condition to be captured by the imaging unit;
An arithmetic unit;
Including
The computing unit is
From a plurality of images obtained by imaging a user's biological pattern using the imaging unit under a plurality of different brightness conditions set by the brightness condition setting unit,
Extracting the user's feature quantities,
The user's feature quantity is registered in a predetermined registration unit in which the feature quantity characterizing the biometric pattern is registered in such a manner that a feature quantity having a higher appearance frequency in the plurality of images is associated with a weight that is greater than the user's feature quantity. A biometric identification device.
撮像によって得られる複数の画像から、前記ユーザーの特徴量をそれぞれ抽出することと、
前記複数の画像における出現頻度が高い特徴量ほど大きい重みを前記ユーザーの特徴量に対応付けて登録することと、
を有することを特徴とする生体識別方法。 Imaging a user's biometric pattern in multiple different brightness conditions;
Extracting each of the user's feature quantities from a plurality of images obtained by imaging;
Registering a higher weight in association with the feature quantity of the user as a feature quantity having a higher appearance frequency in the plurality of images;
A biometric identification method comprising:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2011120052A JP2012248047A (en) | 2011-05-30 | 2011-05-30 | Biological identification device and biological identification method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2011120052A JP2012248047A (en) | 2011-05-30 | 2011-05-30 | Biological identification device and biological identification method |
Publications (2)
Publication Number | Publication Date |
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JP2012248047A JP2012248047A (en) | 2012-12-13 |
JP2012248047A5 true JP2012248047A5 (en) | 2014-07-10 |
Family
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Family Applications (1)
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JP2011120052A Withdrawn JP2012248047A (en) | 2011-05-30 | 2011-05-30 | Biological identification device and biological identification method |
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JP (1) | JP2012248047A (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
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JP6795480B2 (en) * | 2017-09-26 | 2020-12-02 | 富士通フロンテック株式会社 | Biometric system and biometric method |
CN108090415A (en) * | 2017-11-24 | 2018-05-29 | 江西智梦圆电子商务有限公司 | A kind of identity comparison method identified based on face and vena metacarpea |
JP2019219833A (en) * | 2018-06-19 | 2019-12-26 | ソニー株式会社 | Information processing apparatus, wearable device, information processing method, and program |
JP7384157B2 (en) * | 2018-06-19 | 2023-11-21 | ソニーグループ株式会社 | Information processing devices, wearable devices, information processing methods and programs |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2680084B2 (en) * | 1988-12-09 | 1997-11-19 | 富士通株式会社 | Personal identification device |
JP4164732B2 (en) * | 2001-03-07 | 2008-10-15 | ソニー株式会社 | Fingerprint verification system, fingerprint verification device, fingerprint verification method, and biometric verification device |
JP2007164401A (en) * | 2005-12-13 | 2007-06-28 | Matsushita Electric Ind Co Ltd | Solid body registration device, solid body authentication device, solid body authentication system and solid body authentication method |
JP4814666B2 (en) * | 2006-03-23 | 2011-11-16 | 株式会社スペースビジョン | Face analysis system |
JP5110983B2 (en) * | 2007-06-29 | 2012-12-26 | 日立オムロンターミナルソリューションズ株式会社 | Biometric authentication processing system |
US8170280B2 (en) * | 2007-12-03 | 2012-05-01 | Digital Smiths, Inc. | Integrated systems and methods for video-based object modeling, recognition, and tracking |
US20090185746A1 (en) * | 2008-01-22 | 2009-07-23 | The University Of Western Australia | Image recognition |
US20100080425A1 (en) * | 2008-09-29 | 2010-04-01 | Board of regents of the Nevada System of Higher Education, on Behalf of the University of | Minutiae-based template synthesis and matching |
JP5809792B2 (en) * | 2010-11-04 | 2015-11-11 | 株式会社日立製作所 | Biometric authentication apparatus and method |
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