CN102087714A - Image identification logon system and method - Google Patents
Image identification logon system and method Download PDFInfo
- Publication number
- CN102087714A CN102087714A CN2009102462574A CN200910246257A CN102087714A CN 102087714 A CN102087714 A CN 102087714A CN 2009102462574 A CN2009102462574 A CN 2009102462574A CN 200910246257 A CN200910246257 A CN 200910246257A CN 102087714 A CN102087714 A CN 102087714A
- Authority
- CN
- China
- Prior art keywords
- dynamic image
- image
- dynamic
- module
- action
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Collating Specific Patterns (AREA)
Abstract
The invention discloses an image identification logon system and method, which are suitable for verifying a logon program of a user. The method comprises the following steps of: pre-establishing a plurality of first dynamic images into a storage module by using a dynamic image acquisition module; when the user wants to log on, acquiring a second dynamic image of the user and transmitting the second dynamic image to a processing module by the dynamic image acquisition module; and comparing continuous static frames of the first dynamic image and the second dynamic image by using a comparison module of the processing module to obtain a comparison result and carrying out next step by the processing module according to the comparison result. The image identification logon method is safe; and the logon by using counterfeiting pictures can be avoided.
Description
Technical field
The present invention relates to a kind of image recognition login system and method thereof, particularly a kind of system and method thereof with dynamic image recognition function.
Background technology
The operating system of general electronic installation (as: computing machine or mobile phone), such as: the Microsft Windows operating system of computing machine, Linux, UNIX, or the WindowsMobile of Microsoft, the Android... etc. of mobile phone, or the application software of electronic installation, such as: MSN, database software, digital monitoring software, electronic game software etc. are in use, must verify through authentication procedure earlier and land identity and password, just can bring into use operating system or application software.
With Microsft Windows operating system, it if be necessary the input authentication data then to load an authentication procedure by operating system, provides an authentication window picture after startup, shows an identity field and a password field on the window picture.The user is by operation one input block, for example: keyboard, dummy keyboard or Touch Screen etc., in order to at least one ascii character, for example A, B, C ..., 1,2,3... etc. keys in one by one to identity field and password field, to form the verify data of identity and password, in order to authenticate, data to be confirmed are errorless, then further carry out an internal processes or other interface, and then can bring into use this operating system and application software thereof.
And the safety management mode of the network trading that the most generally uses is to use password at present, and every ATM card and the transaction on the Internet all access to your password the identification as identity.Yet the mechanism that accesses to your password has its leak in the sky earlier, and password is peeped and stolen easily, and data more may be duplicated by the undesirable, trace quite difficult afterwards.
Therefore, many in recent years researchs are devoted to develop new personal identification method, to improve the safety of network trading.The development of biological recognition system at present is quite ripe, comprises that the biometric mechanisms of fingerprint, voice even iris recognition or the like all is developed.Yet all very expensive and operation of the required equipment of these biological recognition systems is difficult for.In many biological recognition systems, face recognition is the comparatively feasible practice, use side only needs the software of a video camera coupled system to operate, except the cost of equipment far below fingerprint, voice and iris or the like the recognition methods, also simply many in operation.
But, aforesaid face recognition, only be used on single static face picture, carrying out the image comparison, intentionally the personage often utilizes picture or photo just can deceive face identification system, real for face identification system is a major challenge, therefore, develop and a kind of face image recognition system that can overcome above-mentioned shortcoming, just become a very important problem.
Summary of the invention
Because above-mentioned prior art problems, purpose of the present invention just provides a kind of image identification system and method thereof, lands the problem that easily is forged to solve single picture.
In order to realize above-mentioned purpose of the present invention, the invention provides a kind of image identification system, this image identification system comprises a storage module, an one dynamic image acquisition module and a processing module, storage module is used to pre-deposit several first dynamic images, the dynamic image acquisition module is used to obtain one second dynamic image when the user desires to land, processing module is connected in storage module and dynamic image acquisition module, processing module is used for second dynamic image that the receiving dynamic image acquisition module is obtained, and read first dynamic image of storage module, after comparing second dynamic image and first dynamic image, draw a comparison result, processing module provides next step action according to comparison result.
Wherein, first dynamic image is that several continuous still frames are formed, and can obtain in advance via dynamic acquisition module and deposit storage module in, and second dynamic image is that several continuous still frames are formed.
Wherein, first dynamic image is a kind of actions wherein such as facial action, headwork and limb action, this second dynamic image be accordingly face, head and limb action one of them.
Wherein, comprise a comparing module in the processing module, this comparing module is to the continuous still frame in first dynamic image and second dynamic image, take out still frame according to time section joint, it is right again this still frame to be made an aspect ratio, the mode that this aspect ratio is right can be GTG comparison method, eigenwert comparison method and regional reduction gear ratio, and (Region Of Interest ROI) waits other image comparison method one of them or any two and more than two to method.
Wherein, storage module has a relevant database, in order to store first dynamic image.
Wherein, the dynamic image acquisition module is a video camera, provides in order to obtain second dynamic image.
Wherein, processing module has more a display module, and this display module is exported an indication information, and this indication information requires the user to land required action, as specify headwork or facial action etc., this display module more can be with the output of first dynamic image for user's reference.
In order to realize above-mentioned purpose of the present invention, the present invention also provides a kind of image recognition login method, be applicable to checking user's landing program, earlier set up several first dynamic images in advance behind storage module with the dynamic image acquisition module, when the user desires to land action, the dynamic image acquisition module obtains user's second dynamic image, and this second dynamic image is sent to processing module, the comparing module of processing module is right with the aspect ratio of the continuous still frame of first dynamic image and the second dynamic shadow, draw comparison result, processing module is carried out next step action according to this comparison result.
Wherein, when comparison result when meeting, next step action is landed action for carrying out, otherwise, when comparison result for not meeting, next step action then is the selectivity operation behavior, as another kind of landing approach etc. is provided, or carry out proving program again, or carry out the shutdown action.
As mentioned above, according to image recognition login system of the present invention and method thereof, it can have one or more following advantages:
(1) in the time of only can solving with single face recognition picture, desires the invador and only have original situation about just can land with person's photo.
(2) utilize all angles picture of face or head, reach and be difficult to counterfeit feature, strengthened the security when landing greatly.
Description of drawings
Fig. 1 is the structural drawing of image recognition login system of the present invention;
Fig. 2 is the process flow diagram of image recognition login method of the present invention;
Fig. 3 is the synoptic diagram of first embodiment of the present invention operation image recognition login system;
Fig. 4 is the synoptic diagram of first embodiment of the present invention operation image recognition comparison;
Fig. 5 is the synoptic diagram of second embodiment of the present invention operation image recognition login system;
Fig. 6 is the synoptic diagram of second embodiment of the present invention operation image recognition comparison;
Fig. 7 is the synoptic diagram of third embodiment of the present invention operation image recognition login system;
Fig. 8 is the synoptic diagram of third embodiment of the present invention operation image recognition comparison.
Main description of reference numerals
10: the dynamic image acquisition module;
11: processing module;
110: comparing module;
12: storage module;
13: display module;
130: indication information;
14: the plane photo;
The 4th second picture of 40: the first dynamic images;
The 4th second picture eigenwert of 400: the first dynamic images;
The 8th second picture of 41: the first dynamic images;
The 8th second picture eigenwert of 410: the first dynamic images;
The 12nd second picture of 42: the first dynamic images;
The 12nd second picture eigenwert of 420: the first dynamic images
The 4th second picture of 43: the second dynamic images;
The 4th second picture eigenwert of 430: the second dynamic images;
The 8th second picture of 44: the second dynamic images;
The 8th second picture eigenwert of 440: the second dynamic images;
The 12nd second picture of 45: the second dynamic images;
The 12nd second picture eigenwert of 450: the second dynamic images;
46: the first characteristic value collection;
47: the second characteristic value collection;
The 5th second picture of 60: the first dynamic images;
The 5th second picture eigenwert of 600: the first dynamic images;
The 10th second picture of 61: the first dynamic images;
The 10th second picture eigenwert of 610: the first dynamic images;
The 15th second picture of 62: the first dynamic images;
The 15th second picture eigenwert of 620: the first dynamic images
The 5th second picture of 63: the second dynamic images;
The 5th second picture eigenwert of 630: the second dynamic images;
The 10th second picture of 64: the second dynamic images;
The 10th second picture eigenwert of 640: the second dynamic images;
The 15th second picture of 65: the second dynamic images;
The 15th second picture eigenwert of 650: the second dynamic images;
66: the first characteristic value collection;
67: the second characteristic value collection;
The 6th second picture of 80: the first dynamic images;
The 6th second picture eigenwert of 800: the first dynamic images;
The 12nd second picture of 81: the first dynamic images;
The 12nd second picture eigenwert of 810: the first dynamic images;
The 18th second picture of 82: the first dynamic images;
The 18th second picture eigenwert of 820: the first dynamic images
The 24th second picture of 83: the first dynamic images;
The 24th second picture eigenwert of 830: the first dynamic images;
The 30th second picture of 84: the first dynamic images;
The 30th second picture eigenwert of 840: the first dynamic images;
The 6th second picture of 85: the second dynamic images;
The 6th second picture eigenwert of 850: the second dynamic images;
The 12nd second picture of 86: the second dynamic images;
The 12nd second picture eigenwert of 860: the second dynamic images;
The 18th second picture of 87: the second dynamic images;
The 18th second picture eigenwert of 870: the second dynamic images;
The 24th second picture of 88: the second dynamic images;
The 24th second picture eigenwert of 880: the second dynamic images;
The 30th second picture of 89: the second dynamic images;
The 30th second picture eigenwert of 890: the second dynamic images;
90: the first characteristic value collection
91: the second characteristic value collection; And
S10～S60: Bu Sudden flow process.
Embodiment
Hereinafter with reference to relevant drawings, the embodiment according to image recognition login system of the present invention and method thereof is described, to be convenient to understand for making, the same components among the following embodiment illustrates with identical symbology.
Please referring to Fig. 1, it is the structural drawing of image recognition login system of the present invention.Among the figure, its image recognition login system comprises a dynamic image acquisition module 10, a processing module 11 and a storage module 12, dynamic image acquisition module 10 is connected in processing module 11, processing module 11 comprises a comparing module 110, storage module 12 is connected in processing module 11, and processing module 11 further more can connect a display module 13.
Please referring to Fig. 2, it is the process flow diagram of image recognition login method of the present invention.The method is applicable to the landing program of verifying the user, comprises the following steps:
S10: set up several first dynamic images by dynamic image acquisition module 10 or other source in advance, this first dynamic image be facial action, headwork and limb action one of them, and these first dynamic images are deposited in the storage module 12;
S20: dynamic image acquisition module 10 obtains one second dynamic image, this second dynamic image be facial action, headwork and limb action one of them, and this second dynamic image is sent to processing module 11;
S30: comprise comparing module 110 in the processing module 11, this comparing module 110 is in first dynamic image that pre-deposits storage module 12 and come from second dynamic image of dynamic image acquisition module 10 and extract several continuous still frames according to the time section, and it is right to make aspect ratio according to these continuous still frames, this aspect ratio to for GTG comparison method, eigenwert comparison method and regional reduction gear ratio to method (ROI) image of etc.ing compare method one of them, any two or more than two, through this aspect ratio to after, draw comparison result;
S40: processing module 11 according to aspect ratio to after comparison result, when this comparison result when meeting, carry out step S50, when not meeting, carry out step S60;
S50: when processing module 11 confirms that comparison result meets, then carry out electronic system landing program or next step feature operation and use; And
S60: when processing module 11 confirms that comparison result does not meet, can carry out step 20, or finish landing program, or carry out shutdown, or other checking login function optionally is provided.
Please referring to Fig. 3, it is the synoptic diagram of first embodiment of the present invention operation image recognition login system.Among the figure, dynamic image acquisition module 10 is for being arranged at the video camera above the mobile computer, processing module 11 is for being arranged at CPU (central processing unit) (CPU) and other assistance operating assembly in the mobile computer, storage module 12 is for being arranged at the hard disk in the mobile computer, and several first dynamic images have been pre-deposited, comprise comparing module 110 in the processing module 11, the image comparison program of this comparing module for writing in advance, being loaded on processing module 11 when carrying out comparison carries out, processing module is connected to display module 13 in this embodiment, this display module 13 is the LCD on the mobile computer.
When the user carries out landing program, display module 13 shows indication information 130, this indication information 130 is informed the user, and this discerns for utilizing rotary head action conduct, and inform rotary head direction and rotary head time, in this embodiment, the rotary head direction is the right direction of relative user, and must finish this action in 12 seconds.
Please referring to Fig. 4, it is the synoptic diagram of first embodiment of the present invention image recognition comparison, and please be simultaneously referring to Fig. 3, among the figure, obtain user's second dynamic image when dynamic image acquisition module 10 after, the comparing module 110 that this second dynamic image is sent to processing module 11 is compared, this comparing module 110 will read several first dynamic images that pre-deposit storage module 12, to carry out aspect ratio right with second dynamic module that is obtained and be sent to processing module 11 by dynamic image acquisition module 10, in this embodiment, this aspect ratio is to utilizing the 4th second picture 40 that obtained out first dynamic image in 4 seconds for the time section, the 8th second picture 41 of first dynamic image and the 12nd second picture 42 of first dynamic image, the 4th second picture 43 with second dynamic image, the 8th second picture 44 of second dynamic image and the 12nd second picture of second dynamic image 45 each to carry out aspect ratio right, in this embodiment, this aspect ratio is to for utilizing image feature value comparison method, this image feature value comparison method utilizes special algorithm to calculate one or several eigenwerts, and does corresponding comparison respectively.
Referring to Fig. 3 and Fig. 4, the eigenwert 400 of the 4th second picture of first dynamic image, the eigenwert 420 of the eigenwert 410 of the 8th second picture of first dynamic image and the 12nd second picture of first dynamic image, in figure, form first characteristic value collection 46, and the eigenwert 430 of the 4th second picture of second dynamic image, the eigenwert 450 of the eigenwert 440 of the 8th second picture of second dynamic image and the 12nd second picture of second dynamic image, in figure, form second characteristic value collection 47, in this embodiment, first characteristic value collection 46 and second characteristic value collection, 47 comparison results are for meeting, and send to processing module 11, then processing module 11 is landed action.
Please referring to Fig. 5, it is the synoptic diagram of second embodiment of the present invention operation image recognition login system.Among the figure, the part identical in aforesaid figure repeats no more, only in different feature narration explanation, when the user carried out landing program, display module 13 showed indication information 130, this indication information 130 is informed the user, and this discerns for utilizing rotary head action conduct, and inform rotary head direction and rotary head time that in this embodiment, the rotary head direction is relative user's a left direction, and must finish this action in 15 seconds, but the user utilizes photo 14 desires in plane to forge the photography in user front.
Please referring to Fig. 6, it is the synoptic diagram of second embodiment of the present invention image recognition comparison, and please be simultaneously referring to Fig. 5, among the figure, the part identical in aforesaid figure repeats no more, only in different feature narration explanation, in this embodiment, this aspect ratio is to utilizing the 5th second picture 60 that obtained out first dynamic image in 5 seconds for the time section, the 10th second picture 61 of first dynamic image and the 15th second picture 62 of first dynamic image, the 5th second picture 63 with second dynamic image, the 10th second picture 64 of second dynamic image and the 15th second picture of second dynamic image 65 each to carry out aspect ratio right, in this embodiment, this aspect ratio is to for utilizing image feature value comparison method, this image feature value comparison method utilizes special algorithm to calculate one or a plurality of eigenwert, and does corresponding comparison respectively.
Referring to Fig. 5 and Fig. 6, the eigenwert 600 of the 5th second picture of first dynamic image, the eigenwert 620 of the eigenwert 610 of the 10th second picture of first dynamic image and the 15th second picture of first dynamic image, in figure, form first characteristic value collection 66, and the eigenwert 630 of the 5th second picture of second dynamic image, the eigenwert 650 of the eigenwert 640 of the 10th second picture of second dynamic image and the 15th second picture of second dynamic image, in figure, form second characteristic value collection 67, in this embodiment, second characteristic value collection 67 is utilized a fixedly photo generation, so each picture eigenwert of its second dynamic menu all is identical, therefore first characteristic value collection 66 and second characteristic value collection, 67 comparison results are evident as and do not meet, and send to processing module 11, then processing module 11 is judged as and lands failure, then carries out the selectivity verification mode or repeats to carry out proving program again.
Please referring to Fig. 7, it is the synoptic diagram of third embodiment of the present invention application drawing image pattern picture identification login system.Among the figure, the part identical in aforesaid figure repeats no more, only in different feature narration explanation, dynamic image image collection module 10 is for being connected in the external video camera of desktop PC, processing module 11 is for being arranged at CPU (central processing unit) (CPU) and other assistance operating assembly in the desktop PC, storage module 12 is for being arranged at the hard disk in the desktop PC, processing module is connected to display module 13 in this embodiment, this display module 13 is the external LCD on the desktop PC.
When the user carries out landing program, display module 13 shows indication information 130, this indication information 130 is informed the user, and this discerns for utilizing rotary head action conduct, and inform rotary head direction and rotary head time, in this embodiment, the rotary head direction is the right direction of relative user, and must finish this action in 30 seconds.
Please referring to Fig. 8, it is the synoptic diagram of third embodiment of the present invention image image recognition comparison, and please be simultaneously referring to Fig. 7, among the figure, the part identical in aforesaid figure repeats no more, only in different feature narration explanation, in this embodiment, for strengthening its recognition success rate and security, adopt five still frames as identification, this aspect ratio is to utilizing the 6th second picture 80 that obtained out first dynamic image in 6 seconds for the time section, the 12nd second picture 81 of first dynamic image, the 18th second picture 82 of first dynamic image, the 24th second picture 83 of first dynamic image and the 30th second picture 84 of first dynamic image, the 6th second picture 85 with second dynamic image, the 12nd second picture 86 of second dynamic image, the 18th second picture 87 of second dynamic image, the 24th second picture 88 of second dynamic image and the 30th second picture of second dynamic image 89 each to carry out aspect ratio right, in this embodiment, this aspect ratio is to for utilizing image feature value comparison method, this image feature value comparison method utilizes special algorithm to calculate one or several eigenwerts, and does corresponding comparison respectively.
Referring to Fig. 7 and Fig. 8, the eigenwert 800 of the 6th second picture of first dynamic image, the eigenwert 810 of the 12nd second picture of first dynamic image, the eigenwert 820 of the 18th second picture of first dynamic image, the eigenwert 840 of the eigenwert 830 of the 24th second picture of first dynamic image and the 30th second picture of first dynamic image, in figure, form first characteristic value collection 90, and the eigenwert 850 of the 6th second picture of second dynamic image, the eigenwert 860 of the 12nd second picture of second dynamic image, the eigenwert 870 of the 18th second picture of second dynamic image, the eigenwert 890 of the eigenwert 880 of the 24th second picture 88 of second dynamic image and the 30th second picture of second dynamic image, in figure, form second characteristic value collection 91, in this embodiment, first characteristic value collection 90 and second characteristic value collection, 91 comparison results are for meeting, and send to processing module 11, then processing module 11 is landed action.
The above only is an illustrative, and non-limiting.Anyly do not break away from spirit of the present invention and category, and, all should be contained in protection scope of the present invention its equivalent modifications of carrying out or change.
Claims (15)
1. image recognition login system, it comprises:
One storage module is used to pre-deposit several first dynamic images;
One dynamic image acquisition module is used to obtain one second dynamic image; And
One processing module, be connected in this storage module and this dynamic image acquisition module, this processing module is used to receive this second dynamic image, and read this first dynamic image in this storage module, compare this second dynamic image and this first dynamic image draws a comparison result, this processing module provides next step action according to this comparison result.
2. image recognition login system as claimed in claim 1, wherein this first dynamic image is made up of several continuous still frames, obtain in advance via this dynamic image acquisition module and to deposit this storage module in, this second dynamic image is made up of several continuous still frames.
3. image recognition login system as claimed in claim 1, wherein this first dynamic image be face, head and limb action one of them, this second dynamic image be accordingly face, head and limb action one of them.
4. image recognition login system as claimed in claim 2, wherein this processing module comprises a comparing module, and this comparing module is to this continuous still frame in this first dynamic image and this second dynamic image, and it is right to carry out an aspect ratio according to the time section.
5. image recognition login system as claimed in claim 4, wherein this aspect ratio to for GTG comparison method, eigenwert comparison method and regional reduction gear ratio to all image comparisons of method method one of them, any two or more than two.
6. image recognition login system as claimed in claim 1, wherein this dynamic image acquisition module is a video camera, can be in order to obtain this first dynamic image.
7. image recognition login system as claimed in claim 1, wherein this processing module connects a display module, and this display module is exported an indication information, the required action that this indication information requires the user to land.
8. image recognition login system as claimed in claim 7, wherein this display module can be with this first dynamic image output for user's reference.
9. an image recognition login method comprises the following steps:
Set up several first dynamic images in advance in a storage module with a dynamic image acquisition module;
Obtain one second dynamic image in this dynamic image acquisition module, and be sent to a processing module;
The aspect ratio of continuous still frame of carrying out this first dynamic image and this second dynamic image via a comparing module of this processing module is right, and draws a comparison result; And
Carry out next step action by this processing module according to this comparison result.
10. image recognition login method as claimed in claim 9, wherein this first dynamic image is obtained by remote image deriving means or remote storage device.
11. image recognition login method as claimed in claim 9, wherein this processing module connects a display device, and this second dynamic image shows that for the user accepts this display device a command information produces action and obtained by this dynamic image acquisition module and form.
12. image recognition login method as claimed in claim 11, wherein this command information carries out an action with directivity for the indication user, and this action with directivity is headwork, facial action or other limb action.
13. image recognition login method as claimed in claim 9, wherein this comparing module is to this continuous still frame in this first dynamic image and this second dynamic image, and it is right to carry out this aspect ratio according to the time section.
14. image recognition login method as claimed in claim 9, wherein this aspect ratio to be GTG comparison method, eigenwert comparison method and regional reduction gear ratio to all image comparisons of method method one of them, any two or more than two.
15. image recognition login method as claimed in claim 9 is wherein worked as this comparison result for meeting, this next step action is landed action for carrying out, when this comparison result for not meeting, this next step action is the selectivity operation behavior, or carries out proving program again, or carries out the shutdown action.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910246257.4A CN102087714B (en) | 2009-12-02 | 2009-12-02 | Image identification logon system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910246257.4A CN102087714B (en) | 2009-12-02 | 2009-12-02 | Image identification logon system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102087714A true CN102087714A (en) | 2011-06-08 |
| CN102087714B CN102087714B (en) | 2014-08-13 |
Family
ID=44099512
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200910246257.4A Active CN102087714B (en) | 2009-12-02 | 2009-12-02 | Image identification logon system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102087714B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103678859A (en) * | 2012-09-12 | 2014-03-26 | 财团法人工业技术研究院 | Motion comparison method and motion comparison system |
| CN106156578A (en) * | 2015-04-22 | 2016-11-23 | 深圳市腾讯计算机系统有限公司 | Auth method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1685712A (en) * | 2002-09-27 | 2005-10-19 | 皇家飞利浦电子股份有限公司 | Enhanced commercial detection through fusion of video and audio signatures |
| CN1722063A (en) * | 2004-07-12 | 2006-01-18 | 英业达股份有限公司 | Gesture identification system and its method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1403995A (en) * | 2001-09-03 | 2003-03-19 | 王柏东 | Global fingerprint centifying system |
| NO319858B1 (en) * | 2003-09-26 | 2005-09-26 | Tandberg Telecom As | Identification procedure |
| TW200933530A (en) * | 2008-01-25 | 2009-08-01 | Hon Hai Prec Ind Co Ltd | Image adjusting device and adjusting method thereof |
-
2009
- 2009-12-02 CN CN200910246257.4A patent/CN102087714B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1685712A (en) * | 2002-09-27 | 2005-10-19 | 皇家飞利浦电子股份有限公司 | Enhanced commercial detection through fusion of video and audio signatures |
| CN1722063A (en) * | 2004-07-12 | 2006-01-18 | 英业达股份有限公司 | Gesture identification system and its method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103678859A (en) * | 2012-09-12 | 2014-03-26 | 财团法人工业技术研究院 | Motion comparison method and motion comparison system |
| CN103678859B (en) * | 2012-09-12 | 2017-04-12 | 财团法人工业技术研究院 | Motion comparison method and motion comparison system |
| CN106156578A (en) * | 2015-04-22 | 2016-11-23 | 深圳市腾讯计算机系统有限公司 | Auth method and device |
| US10445482B2 (en) | 2015-04-22 | 2019-10-15 | Tencent Technology (Shenzhen) Company Limited | Identity authentication method, identity authentication device, and terminal |
| CN106156578B (en) * | 2015-04-22 | 2020-02-14 | 深圳市腾讯计算机系统有限公司 | Identity verification method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102087714B (en) | 2014-08-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8407762B2 (en) | System for three level authentication of a user | |
| US20140013422A1 (en) | Continuous Multi-factor Authentication | |
| TWI616821B (en) | Bar code generation method, bar code based authentication method and related terminal | |
| US20140283022A1 (en) | Methods and sysems for improving the security of secret authentication data during authentication transactions | |
| EP2685401A1 (en) | Methods and systems for improving the security of secret authentication data during authentication transactions | |
| KR20190122206A (en) | Identification methods and devices, electronic devices, computer programs and storage media | |
| US20150023569A1 (en) | Portable electronic apparatus and interactive human face login method | |
| US20110206244A1 (en) | Systems and methods for enhanced biometric security | |
| US20140354758A1 (en) | System and method for remote notarization and recording digital notary logbook entries | |
| CN112989299A (en) | Interactive identity recognition method, system, device and medium | |
| Mecke et al. | Open sesame! user perception of physical, biometric, and behavioural authentication concepts to open doors | |
| TWI584146B (en) | Login system and method based on face recognition | |
| CN106156590A (en) | A kind of computer startup processing method and processing system | |
| US20180349586A1 (en) | Biometric authentication | |
| CN102087714B (en) | Image identification logon system and method | |
| CN109543431B (en) | Application encryption method and device, electronic equipment and storage medium | |
| US20230005301A1 (en) | Control apparatus, control method, and non-transitory computer readable medium | |
| CN115906028A (en) | User identity verification method and device and self-service terminal | |
| CN109165490A (en) | A kind of data inputting method and device | |
| CN113570763A (en) | Passage control method and device, machine readable medium and equipment | |
| CN210199760U (en) | Benefit people's service inquiry printing device | |
| WO2017065577A1 (en) | User authentication method and system using variable key pad and face recognition | |
| US9213816B2 (en) | Protocol for biometric device capture and quality analysis | |
| US20230284013A1 (en) | Mobile app login and device registration | |
| EP3270313A1 (en) | Optical authorization method for programs and files |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |