CN105654034A - Electronic lock unlocking method based on finger vein recognition - Google Patents
Electronic lock unlocking method based on finger vein recognition Download PDFInfo
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- CN105654034A CN105654034A CN201510966470.8A CN201510966470A CN105654034A CN 105654034 A CN105654034 A CN 105654034A CN 201510966470 A CN201510966470 A CN 201510966470A CN 105654034 A CN105654034 A CN 105654034A
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- vein image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection of the body part being alive
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/14—Vascular patterns
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention discloses an electronic lock unlocking method based on finger vein recognition. The electronic lock unlocking method comprises the following steps that S1. fingerprint feature images of fingers are acquired, and the fingerprint feature images includes an image, a perspective vein image and a cuticle vein image; S2. the feature data of the fingerprint image, the perspective vein image and the cuticle vein image in the step S1 are extracted; S3. the feature data acquired in the step S2 are compared with pre-stored sample feature data, and the process jumps to step S4 when the two sets of data are consistent; S4. whether the fingers are living bodies is judged, and an authorization code is acquired if the fingers are living bodies; S5. an unlocking logic signal is analyzed according to the authorization code; and S6. unlocking is performed according to the unlocking logic signal. Unlocking is realized through verification of the fingerprint image, the perspective vein image and the cuticle vein image of a user so as to be secure and convenient.
Description
Technical field
The present invention relates to electronics lock technology field, particularly relate to a kind of electronics based on finger vena identification lock method for unlocking.
Background technology
Biometrics has obtained extensive accreditation now, and by the certification of national authentication mechanism, and it is widely used in all trades and professions. Fingerprint has lifelong unchangeability, uniqueness and accessibility due to it, almost becomes the synonym of living things feature recognition. Fingerprint refers to the streakline of uneven generation on the positive surface skin of the finger tips of people. The regular arrangement of streakline forms different line types. The starting point of streakline, terminal, the details being called fingerprint in conjunction with point and branch point. But there is following defect in existing fingerprint recognition: the fingerprint characteristic of (1) some people or some colony is few, it is difficult to imaging; (2) the fingerprint impression that all can leave user during fingerprint on collection head is used each time, and these fingerprint impressions exist the possibility being used to copy fingerprint, such as the fingerprint sleeve in certain electric appliances store and fingerprint film etc.; (3) fingerprint is the important personal information of user, and some application scenario user worries information leakage, buries major safety risks. There is being undertaken by fingerprint recognition now the electronics lock unblanked, but there is above-mentioned defect due to fingerprint recognition so that this kind mode of unblanking also has existed associated disadvantages.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, it is provided that a kind of electronics based on finger vena identification lock method for unlocking, realize unblanking by the fingerprint image of user, perspective vein image and the checking of epidermis vein image, safe ready.
It is an object of the invention to be achieved through the following technical solutions: a kind of electronics based on finger vena identification lock method for unlocking, comprises the following steps:
S1. obtaining the fingerprint characteristic image of finger, fingerprint characteristic image comprises fingerprint image, perspective vein image and epidermis vein image;
S2. the characteristic of the fingerprint image in extraction step S1, perspective vein image and epidermis vein image;
S3. the characteristic obtained in step S2 is compared with the sample characteristics data prestored, when two groups of data consistents, jump procedure S4;
S4. judge whether described finger is live body, if described finger is live body, then authorized access code;
S5. parse, according to mandate code, logic signal of unblanking;
S6. unblank according to logic signal of unblanking.
Described step S1 comprises step quickly:
S11. finger being put into image acquisition areas, turn on lamp source, control image acquisition device rotates around finger;
S12. image acquisition device takes multiple images in the process rotated around finger, obtains the fingerprint characteristic image of finger, and fingerprint characteristic image comprises fingerprint image, perspective vein image and epidermis vein image.
Described step S2 comprises following sub-step:
S21. the fingerprint image in step S1, perspective vein image and epidermis vein image are carried out filtering, image binaryzation and thinning processing successively;
S22. treated fingerprint image, perspective vein image and epidermis vein image are extracted characteristic;
S23. fingerprint image, perspective vein image and epidermis vein image is removed.
In step S3, the method for characteristic and the sample characteristics data prestored that comparison obtains is: compare according to the gray scale of vein image or thickness according to vein image medium sized vein is compared.
In step S3 when two groups of data are inconsistent, the characteristic joining day stamp that will obtain in S2, then this characteristic is stored to interim data field, then the data of this characteristic and interim data field are contrasted, when the number of times that data identical with this characteristic in interim data field occur within a certain period of time exceedes threshold value, this characteristic is sent to set device and reports to the police.
Step S4 comprises the following steps:
S41. according to fingerprint central point, the characteristic obtained in step S2 is carried out matching, form three-layer stereo three-dimensional feature model;
S42. three-layer stereo three-dimensional feature model is verified, judge whether described finger is live body; If described finger is live body, then authorized access code.
Described three-layer stereo three-dimensional feature model is followed successively by fingerprint image, epidermis vein image and perspective vein image from outside to inside.
The step upgrading the sample characteristics data prestored and authorizing code is also comprised after described step S4.
Described mandate code stabs information, enabling sequence number and encrypted feature data by the time and forms.
The invention has the beneficial effects as follows:
(1) the present invention realizes unblanking by the fingerprint image of user, perspective vein image and the checking of epidermis vein image, safe ready;
(2) the present invention needs successively characteristic to be verified for twice, it is to increase security.
Accompanying drawing explanation
Fig. 1 is the schema of a kind of lock method for unlocking of the electronics based on finger vena identification of the present invention.
Embodiment
The technical scheme of the present invention is described in further detail below in conjunction with accompanying drawing, but protection scope of the present invention is not limited to the following stated.
As shown in Figure 1, a kind of electronics based on finger vena identification lock method for unlocking, comprises the following steps:
S1. obtaining the fingerprint characteristic image of finger, fingerprint characteristic image comprises fingerprint image, perspective vein image and epidermis vein image.
Described step S1 comprises step quickly:
S11. finger being put into image acquisition areas, turn on lamp source, control image acquisition device rotates around finger; Described lamp source comprises the first near-infrared LED lamp group being arranged on image acquisition device offside and the 2nd near-infrared LED lamp group being inclined at image acquisition device surrounding.
S12. image acquisition device takes multiple images in the process rotated around finger, obtains the fingerprint characteristic image of finger, and fingerprint characteristic image comprises fingerprint image, perspective vein image and epidermis vein image. Multiple images described comprise finger print perspective vein and the epidermis vein image of a week.
S2. the characteristic of the fingerprint image in extraction step S1, perspective vein image and epidermis vein image.
Step S2 comprises following sub-step:
S21. the fingerprint image in step S1, perspective vein image and epidermis vein image are carried out filtering, image binaryzation and thinning processing successively;
S22. treated fingerprint image, perspective vein image and epidermis vein image are extracted characteristic;
S23. remove fingerprint image, perspective vein image and epidermis vein image, thus protect the information security of user.
Described step S2 comprises following sub-step:
S21. the fingerprint image in step S1, perspective vein image and epidermis vein image are carried out filtering, image binaryzation and thinning processing successively;
S22. treated fingerprint image, perspective vein image and epidermis vein image are extracted characteristic;
S23. fingerprint image, perspective vein image and epidermis vein image is removed.
S3. the characteristic obtained in step S2 is compared with the sample characteristics data prestored, when two groups of data consistents, jump procedure S4.
In step S3, the method for characteristic and the sample characteristics data prestored that comparison obtains is: compare according to the gray scale of vein image or thickness according to vein image medium sized vein is compared.
In step S3 when two groups of data are inconsistent, the characteristic joining day stamp that will obtain in S2, then this characteristic is stored to interim data field, then the data of this characteristic and interim data field are contrasted, when the number of times that data identical with this characteristic in interim data field occur within a certain period of time exceedes threshold value, this characteristic is sent to set device.
S4. judge whether described finger is live body, if described finger is live body, then authorized access code.
Step S4 comprises the following steps:
S41. according to fingerprint central point, the characteristic obtained in step S2 is carried out matching, form three-layer stereo three-dimensional feature model;
S42. three-layer stereo three-dimensional feature model is verified, judge whether described finger is live body; If described finger is live body, then authorized access code.
When three-layer stereo three-dimensional feature model is verified, first calculate the relative position between fingerprint central point and vein in this model, and then the relative position between this relative position and the fingerprint central point prestored and vein is contrasted, when both are consistent, judge that described finger is live body.
Described three-layer stereo three-dimensional feature model is followed successively by fingerprint image, epidermis vein image and perspective vein image from outside to inside.
If the fingerprint characteristic gathered in step S4 is not live body, then.
The step upgrading the sample characteristics data prestored and authorizing code is also comprised after described step S4. The effect of this step is, is in minor's growth and development process, and profile change is big gradually for fingerprint and vein, but unique point is constant, it is not necessary to re-start registration over time.
Described mandate code stabs information, enabling sequence number and encrypted feature data by the time and forms.
S5. parse, according to mandate code, logic signal of unblanking.
S6. unblank according to logic signal of unblanking. When unblanking, first driving lock bolt vibrations, and then unblank, under preventing door lock card door bolt situation, lock bolt frictional force is excessive, and coil burnout situation occurs.
The above is only the preferred embodiment of the present invention, it is to be understood that the present invention is not limited to the form disclosed by this paper, should not regard the eliminating to other embodiments as, and can be used for other combinations various, amendment and environment, and in contemplated scope described herein, can be changed by technology or the knowledge in above-mentioned instruction or relevant field.And the change that those skilled in the art carry out and change do not depart from the spirit and scope of the present invention, then all should in the protection domain of claims of the present invention.
Claims (9)
1. the lock method for unlocking of the electronics based on finger vena identification, it is characterised in that: comprise the following steps:
S1. obtaining the fingerprint characteristic image of finger, fingerprint characteristic image comprises fingerprint image, perspective vein image and epidermis vein image;
S2. the characteristic of the fingerprint image in extraction step S1, perspective vein image and epidermis vein image;
S3. the characteristic obtained in step S2 is compared with the sample characteristics data prestored, when two groups of data consistents, jump procedure S4;
S4. judge whether described finger is live body, if described finger is live body, then authorized access code;
S5. parse, according to mandate code, logic signal of unblanking;
S6. unblank according to logic signal of unblanking.
2. a kind of electronics based on finger vena identification according to claim 1 lock method for unlocking, it is characterised in that: described step S1 comprises step quickly:
S11. finger being put into image acquisition areas, turn on lamp source, control image acquisition device rotates around finger;
S12. image acquisition device takes multiple images in the process rotated around finger, obtains the fingerprint characteristic image of finger, and fingerprint characteristic image comprises fingerprint image, perspective vein image and epidermis vein image.
3. a kind of electronics based on finger vena identification according to claim 1 lock method for unlocking, it is characterised in that: described step S2 comprises following sub-step:
S21. the fingerprint image in step S1, perspective vein image and epidermis vein image are carried out filtering, image binaryzation and thinning processing successively;
S22. treated fingerprint image, perspective vein image and epidermis vein image are extracted characteristic;
S23. fingerprint image, perspective vein image and epidermis vein image is removed.
4. a kind of electronics based on finger vena identification according to claim 1 lock method for unlocking, it is characterised in that: in step S3, the method for characteristic and the sample characteristics data prestored that comparison obtains is: compare according to the gray scale of vein image or thickness according to vein image medium sized vein is compared.
5. a kind of electronics based on finger vena identification according to claim 1 lock method for unlocking, it is characterized in that: in step S3 when two groups of data are inconsistent, the characteristic joining day stamp that will obtain in S2, then this characteristic is stored to interim data field, then the data of this characteristic and interim data field are contrasted, when the number of times that data identical with this characteristic in interim data field occur within a certain period of time exceedes threshold value, this characteristic is sent to set device and reports to the police.
6. a kind of electronics based on finger vena identification according to claim 1 lock method for unlocking, it is characterised in that: step S4 comprises the following steps:
S41. according to fingerprint central point, the characteristic obtained in step S2 is carried out matching, form three-layer stereo three-dimensional feature model;
S42. three-layer stereo three-dimensional feature model is verified, judge whether described finger is live body; If described finger is live body, then authorized access code.
7. a kind of electronics based on finger vena identification according to claim 6 lock method for unlocking, it is characterised in that: described three-layer stereo three-dimensional feature model is followed successively by fingerprint image, epidermis vein image and perspective vein image from outside to inside.
8. a kind of electronics based on finger vena identification according to claim 1 lock method for unlocking, it is characterised in that: also comprise the step upgrading the sample characteristics data prestored and authorizing code after described step S4.
9. a kind of electronics based on finger vena identification according to claim 1 lock method for unlocking, it is characterised in that: described mandate code stabs information, enabling sequence number and encrypted feature data by the time and forms.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510966470.8A CN105654034A (en) | 2015-12-22 | 2015-12-22 | Electronic lock unlocking method based on finger vein recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510966470.8A CN105654034A (en) | 2015-12-22 | 2015-12-22 | Electronic lock unlocking method based on finger vein recognition |
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| CN105654034A true CN105654034A (en) | 2016-06-08 |
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| CN201510966470.8A Pending CN105654034A (en) | 2015-12-22 | 2015-12-22 | Electronic lock unlocking method based on finger vein recognition |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107590434A (en) * | 2017-08-09 | 2018-01-16 | 广东欧珀移动通信有限公司 | Identification model update method, device and terminal device |
| CN108618280A (en) * | 2017-03-17 | 2018-10-09 | 北京嘀嘀无限科技发展有限公司 | Assist bracelet, dangerous traveling based reminding method, solution lock control method |
| CN108960187A (en) * | 2018-07-20 | 2018-12-07 | 珠海格力电器股份有限公司 | Permission determines method and device |
| CN110008931A (en) * | 2019-04-16 | 2019-07-12 | 上海应用技术大学 | In conjunction with the mixing recognition methods of fingerprint and finger venous information |
| CN110077362A (en) * | 2019-05-07 | 2019-08-02 | 广东工业大学 | A kind of safety device |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108618280A (en) * | 2017-03-17 | 2018-10-09 | 北京嘀嘀无限科技发展有限公司 | Assist bracelet, dangerous traveling based reminding method, solution lock control method |
| CN107590434A (en) * | 2017-08-09 | 2018-01-16 | 广东欧珀移动通信有限公司 | Identification model update method, device and terminal device |
| CN108960187A (en) * | 2018-07-20 | 2018-12-07 | 珠海格力电器股份有限公司 | Permission determines method and device |
| CN110008931A (en) * | 2019-04-16 | 2019-07-12 | 上海应用技术大学 | In conjunction with the mixing recognition methods of fingerprint and finger venous information |
| CN110077362A (en) * | 2019-05-07 | 2019-08-02 | 广东工业大学 | A kind of safety device |
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Application publication date: 20160608 |
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