CN104392160A - Identity authentication method and identity authentication device - Google Patents

Identity authentication method and identity authentication device Download PDF

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Publication number
CN104392160A
CN104392160A CN201410488247.2A CN201410488247A CN104392160A CN 104392160 A CN104392160 A CN 104392160A CN 201410488247 A CN201410488247 A CN 201410488247A CN 104392160 A CN104392160 A CN 104392160A
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Prior art keywords
gesture motion
user
biological characteristic
data
consistent
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CN201410488247.2A
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李东财
张云
李晓鹏
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Guiyang Longmaster Information and Technology Co ltd
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Guiyang Longmaster Information and Technology Co ltd
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Priority to CN201410488247.2A priority Critical patent/CN104392160A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017Gesture based interaction, e.g. based on a set of recognized hand gestures

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Human Computer Interaction (AREA)
  • User Interface Of Digital Computer (AREA)
  • Telephone Function (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The invention discloses an identity authentication method and an identity authentication device. The identity authentication method comprises the steps of collecting data which correspond to a gesture motion of a user on an identity authentication interface of a mobile terminal, wherein the gesture motion is operation which is not in contact with the mobile terminal; judging whether the gesture motion of the user is consistent with a preset motion or not and whether a biological characteristic corresponding to the gesture motion of the user is consistent with a preset biological characteristic or not according to the collected data; determining that identity authentication is succeeded when the gesture motion of the user is consistent with the preset motion and the biological characteristic corresponding to the gesture motion of the user is consistent with the preset biological characteristic. According to the technical scheme provided by the invention, the user operation can be more convenient and quicker, the operation time is reduced, and thus the user experience is greatly increased.

Description

Identity identifying method and device
Technical field
The present invention relates to the communications field, in particular to a kind of identity identifying method and device.
Background technology
Identity identifying technology confirms the process of operator's identity in a computer network and the effective workaround produced.Along with popularizing of mobile terminal (such as, mobile phone), the authenticating user identification on mobile phone also becomes a pith of information security.
Current mobile phone identity authentication is mainly based on the authentication of password.The conventional authentication based on password has user's pin mode and nine grids unlocking manner.But, based on the authentication of password, operate comparatively loaded down with trivial details, need user manually to input user name, password and identifying code etc., if in input process, occur mistake, then need to re-enter, thus cause Consumer's Experience to reduce.
In addition, based on the authentication of password, also there is the problem that password is easily revealed, particularly input user in the process of password and easily stolen by lawless person.For this problem, user frequently can change password in order to the security of password, because password is too much, makes again password be difficult to safeguard.
Summary of the invention
Fundamental purpose of the present invention is open a kind of identity identifying method and device, at least to solve the authentication based on password in correlation technique, operates the problems such as comparatively loaded down with trivial details.
According to an aspect of the present invention, a kind of identity identifying method is provided.
Identity identifying method according to the present invention comprises: at the authentication interface of mobile terminal, and gather the data corresponding to gesture motion of user, wherein, above-mentioned gesture motion is the operation not contacting above-mentioned mobile terminal; According to the data collected, judge the biological characteristic that whether consistent the gesture motion of above-mentioned user gesture motion that is with deliberate action and above-mentioned user be corresponding and default biological characteristic whether consistent; Consistent with above-mentioned deliberate action in the gesture motion of above-mentioned user, and when biological characteristic corresponding to the gesture motion of above-mentioned user is consistent with above-mentioned default biological characteristic, determine one's identity authentication success.
According to a further aspect in the invention, a kind of identification authentication system is provided.
Identification authentication system according to the present invention comprises: acquisition module, and for the authentication interface at mobile terminal, gather the data corresponding to gesture motion of user, wherein, above-mentioned gesture motion is the operation not contacting above-mentioned mobile terminal; Judge module, for according to the data that collect, judge the biological characteristic that whether consistent the gesture motion of above-mentioned user gesture motion that is with deliberate action and above-mentioned user be corresponding and default biological characteristic whether consistent; Authentication module, consistent with above-mentioned deliberate action for the gesture motion above-mentioned user, and when biological characteristic corresponding to the gesture motion of above-mentioned user is consistent with above-mentioned default biological characteristic, determine one's identity authentication success.
Compared with prior art, the embodiment of the present invention at least has the following advantages: when user carries out authentication, by judging whether the biological characteristic that whether consistent the gesture motion of user gesture motion that is with deliberate action and this user be corresponding and default biological characteristic unanimously determine the authority of user, for the authentication based on password, make user operation more convenient, save the running time, thus substantially increase Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the identity identifying method according to the embodiment of the present invention;
Fig. 2 is the process flow diagram of identity identifying method according to the preferred embodiment of the invention;
Fig. 3 is the structured flowchart of the identification authentication system according to the embodiment of the present invention; And
Fig. 4 is the structured flowchart of identification authentication system according to the preferred embodiment of the invention.
Embodiment
Below in conjunction with Figure of description, specific implementation of the present invention is made a detailed description.
Fig. 1 is the process flow diagram of the identity identifying method according to the embodiment of the present invention.As shown in Figure 1, this identity identifying method comprises:
Step S101: at the authentication interface of mobile terminal, gather the data corresponding to gesture motion of user, wherein, above-mentioned gesture motion is the operation not contacting above-mentioned mobile terminal;
Step S103: according to the data collected, judge the biological characteristic that whether consistent the gesture motion of above-mentioned user gesture motion that is with deliberate action and above-mentioned user be corresponding and default biological characteristic whether consistent;
Step S105: consistent with above-mentioned deliberate action in the gesture motion of above-mentioned user, and when biological characteristic corresponding to the gesture motion of above-mentioned user is consistent with above-mentioned default biological characteristic, determine one's identity authentication success.
In correlation technique, based on the authentication of password, operate comparatively loaded down with trivial details, need user manually to input user name, password and identifying code etc., if in input process, occur mistake, then need to re-enter, thus cause Consumer's Experience to reduce.And adopt the identity identifying method shown in Fig. 1, when user carries out authentication, by judging whether the biological characteristic that whether consistent the gesture motion of user gesture motion that is with deliberate action and this user be corresponding and default biological characteristic unanimously determine the authority of user, for the authentication based on password, make user operation more convenient, save the running time, thus substantially increase Consumer's Experience.
Preferably, in above-mentioned steps S101, the data gathering the gesture motion of above-mentioned user corresponding may further include following process: when above-mentioned user performs this gesture motion, above-mentioned mobile terminal gathers the range data of this gesture motion and this mobile terminal, the motion trace data of this gesture motion, the speed data of this gesture motion, and the finger shape corresponding to this gesture motion.
Wherein, the data that the gesture motion that can gather above-mentioned user by following one of at least device in mobile terminal is corresponding: range sensor, camera, photoelectric sensor.Namely, one or more in the harvester such as service range sensor, camera, photoelectric sensor can gather data corresponding to the gesture motion of user, such as, range data between user's finger and range sensor, the motion trace data of this gesture motion, speed data during motion, and the character shape data of this finger.
Preferably, gather the data corresponding to gesture motion of above-mentioned user in step S101 before, following process can also be comprised: the setting operation responding above-mentioned user, gather and preserve data corresponding to the default gesture motion of above-mentioned user.
In preferred implementation process, at mobile terminal, interface is set, user performs reserved gesture motion (i.e. above-mentioned deliberate action), harvester in mobile terminal (such as, range sensor, camera, photoelectric sensor) gather data corresponding to deliberate action, such as, when user one finger moves left and right in the direction being parallel to mobile phone screen, and do not contact mobile phone, then range sensor can gather the range data between user's finger and range sensor, camera and/or photoelectric sensor can gather speed data during motion trace data and the motion of this gesture motion, camera and/or photoelectric sensor also can gather the character shape data of this finger.
Preferably, in step S103, judge whether the biological characteristic that whether gesture motion of above-mentioned user is consistent with deliberate action and above-mentioned gesture motion is corresponding unanimously comprises with default biological characteristic: the data corresponding to the gesture motion of data corresponding for the above-mentioned default gesture motion of preserving and above-mentioned user compared, when error is in preset range, determine that above-mentioned gesture motion is consistent with above-mentioned deliberate action, and biological characteristic corresponding to above-mentioned gesture motion is consistent with above-mentioned default biological characteristic.
In preferred implementation process, the range data that the current user's finger user corresponding with the gesture motion of user preset with the range data between range sensor collected points between range sensor can be compared, the motion trace data of the gesture motion motion trace data of the current gesture motion collected and user reserved is compared, the speed data of the gesture motion speed data of the current gesture motion collected and user reserved is compared, the character shape data of the finger of this gesture motion of the execution character shape data of the finger of current this gesture motion of execution collected and user reserved is compared, determine that whether above-mentioned gesture motion is consistent with above-mentioned deliberate action, whether biological characteristic corresponding to above-mentioned gesture motion be consistent with above-mentioned default biological characteristic.Certainly, in actual conditions, the gesture motion performed due to user can not be completely the same with reserved gesture motion, can according to actual conditions, allow to there is an error range (such as, 2%) between the two, when all gap datas of comparison are all in the error range preset, can judge that current gesture motion is consistent with deliberate action, biological characteristic corresponding to current gesture motion is consistent with default biological characteristic.
Above-mentioned preferred implementation is further described below in conjunction with Fig. 2.
Fig. 2 is the process flow diagram of identity identifying method according to the preferred embodiment of the invention.As shown in Figure 2, this identity identifying method comprises following process:
Step S201: arrange interface at mobile phone, detects that user carries out the setting operation of default gesture, the setting operation of response user, gathers and preserves data corresponding to the default gesture motion of above-mentioned user.Such as, user one finger moves left and right in the direction being parallel to mobile phone screen, and does not contact mobile phone, and mobile phone gathers the range data between user's finger and range sensor, the speed data when motion trace data of this gesture motion and motion, the character shape data of this finger.
Step S203: at the authentication interface of mobile terminal, gather the data corresponding to gesture motion of user, wherein, the gesture operation of the current execution of user is that a finger moves left and right in the direction being parallel to mobile phone screen.Range sensor in mobile terminal, camera and/or photoelectric sensor, gather the range data between user's finger and range sensor, the speed data when motion trace data of this gesture motion and motion, the character shape data of this finger.
Step S205: the range data that the current user's finger user corresponding with the gesture motion of user preset with the range data between range sensor collected points between range sensor is compared, the motion trace data of the gesture motion motion trace data of the current gesture motion collected and user reserved is compared, the speed data of the gesture motion speed data of the current gesture motion collected and user reserved is compared, the character shape data of the finger of this gesture motion of the execution character shape data of the finger of current this gesture motion of execution collected and user reserved is compared, determine that whether above-mentioned gesture motion is consistent with above-mentioned deliberate action, whether biological characteristic corresponding to above-mentioned gesture motion be consistent with above-mentioned default biological characteristic.
Step S207: in the result of comparison, when difference is all in the error range allowed, determine that above-mentioned gesture motion is consistent with above-mentioned deliberate action, and biological characteristic corresponding to above-mentioned gesture motion is consistent with above-mentioned default biological characteristic, now, judge authenticating user identification success, namely this user possesses corresponding authority.
In the method shown in Fig. 2, because the biological characteristic that have employed user is verified, so can more effectively prevent other people from illegally entering, and the implicit expression that this operation is user to be customized in advance operates, when user on mobile terminals movement be carry out verifying authorization operation time, the authentication relatively based on password has very high disguise.
Fig. 3 is the structured flowchart of the identification authentication system according to the embodiment of the present invention.As shown in Figure 3, this identification authentication system comprises: acquisition module 30, and for the authentication interface at mobile terminal, gather the data corresponding to gesture motion of user, wherein, above-mentioned gesture motion is the operation not contacting above-mentioned mobile terminal; Judge module 32, for according to the data that collect, judge the biological characteristic that whether consistent the gesture motion of above-mentioned user gesture motion that is with deliberate action and above-mentioned user be corresponding and default biological characteristic whether consistent; Authentication module 34, consistent with above-mentioned deliberate action for the gesture motion above-mentioned user, and when biological characteristic corresponding to the gesture motion of above-mentioned user is consistent with above-mentioned default biological characteristic, determine one's identity authentication success.
Adopt the identification authentication system shown in Fig. 3, when user carries out authentication, judge module is by judging whether the biological characteristic that whether consistent the gesture motion of user gesture motion that is with deliberate action and this user be corresponding and default biological characteristic unanimously determine the authority of user, for the authentication based on password, make user operation more convenient, save the running time, thus substantially increase Consumer's Experience.
Preferably, as shown in Figure 4, above-mentioned identification authentication system can also comprise: arrange module 36, for responding the setting operation of above-mentioned user, gathering and preserving data corresponding to the default gesture motion of above-mentioned user.
Preferably, as shown in Figure 4, above-mentioned judge module 32 may further include: comparing unit 320, for the data corresponding to the gesture motion of data corresponding for the above-mentioned default gesture motion of preserving and above-mentioned user are compared, when error is in preset range, determine that above-mentioned gesture motion is consistent with above-mentioned deliberate action, and biological characteristic corresponding to above-mentioned gesture motion is consistent with above-mentioned default biological characteristic.
Preferably, as shown in Figure 4, above-mentioned acquisition module 30 may further include: collecting unit 300, for when above-mentioned user performs this gesture motion, above-mentioned mobile terminal gathers the range data of this gesture motion and this mobile terminal, the motion trace data of this gesture motion, the speed data of this gesture motion, and the character shape data of finger performing this gesture motion.
Preferably, can arrange in above-mentioned acquisition module 30 following one of at least: range sensor, camera, photoelectric sensor.Namely one or more in range sensor, camera, photoelectric sensor can be arranged in acquisition module 30.
It should be noted that, in said apparatus, the preferred implementation of each unit of each module specifically see the description of Fig. 1 to Fig. 2, can repeat no more herein.
In sum, by above-described embodiment provided by the invention, when user carries out authentication, by judging whether the biological characteristic that whether consistent the gesture motion of user gesture motion that is with deliberate action and this user be corresponding and default biological characteristic unanimously determine the authority of user, for the authentication based on password, make user operation more convenient, save the running time, thus substantially increase Consumer's Experience.In addition, because the biological characteristic that have employed user is verified, so can more effectively prevent other people from illegally entering, and the implicit expression that this operation is user to be customized in advance operates, when user on mobile terminals movement be carry out verifying authorization operation time, the authentication relatively based on password has very high disguise.
Be only several specific embodiment of the present invention above, but the present invention is not limited thereto, the changes that any person skilled in the art can think of all should fall into protection scope of the present invention.

Claims (10)

1. an identity identifying method, is characterized in that, comprising:
At the authentication interface of mobile terminal, gather the data corresponding to gesture motion of user, wherein, described gesture motion is the operation not contacting described mobile terminal;
According to the data collected, judge the biological characteristic that whether consistent the gesture motion of described user gesture motion that is with deliberate action and described user be corresponding and default biological characteristic whether consistent;
Consistent with described deliberate action in the gesture motion of described user, and when biological characteristic corresponding to the gesture motion of described user is consistent with described default biological characteristic, determine one's identity authentication success.
2. method according to claim 1, is characterized in that, before gathering the data corresponding to the gesture motion of described user, also comprises: the setting operation responding described user, gathers and preserves data corresponding to the default gesture motion of described user.
3. method according to claim 2, is characterized in that, judges whether whether the gesture motion of described user is consistent with deliberate action and described gesture motion is corresponding biological characteristic and default biological characteristic unanimously comprise:
Data corresponding to the gesture motion of the data corresponding to described default gesture motion of preserving and described user are compared, when error is in preset range, determine that described gesture motion is consistent with described deliberate action, and biological characteristic corresponding to described gesture motion is consistent with described default biological characteristic.
4. method according to claim 1, is characterized in that, the data gathering the gesture motion of described user corresponding comprise:
When described user performs this gesture motion, described mobile terminal gathers the range data of this gesture motion and this mobile terminal, the motion trace data of this gesture motion, the speed data of this gesture motion, and the character shape data of finger performing this gesture motion.
5. method according to any one of claim 1 to 4, is characterized in that, the data that the gesture motion gathering described user by following one of at least device in described mobile terminal is corresponding: range sensor, camera, photoelectric sensor.
6. an identification authentication system, is characterized in that, comprising:
Acquisition module, for the authentication interface at mobile terminal, gather the data corresponding to gesture motion of user, wherein, described gesture motion is the operation not contacting described mobile terminal;
Judge module, for according to the data that collect, judge the biological characteristic that whether consistent the gesture motion of described user gesture motion that is with deliberate action and described user be corresponding and default biological characteristic whether consistent;
Authentication module, consistent with described deliberate action for the gesture motion described user, and when biological characteristic corresponding to the gesture motion of described user is consistent with described default biological characteristic, determine one's identity authentication success.
7. device according to claim 6, is characterized in that, also comprises:
Module is set, for responding the setting operation of described user, gathers and preserving data corresponding to the default gesture motion of described user.
8. device according to claim 7, is characterized in that, described judge module comprises:
Comparing unit, for the data corresponding to the gesture motion of data corresponding for the described default gesture motion of preserving and described user are compared, when error is in preset range, determine that described gesture motion is consistent with described deliberate action, and biological characteristic corresponding to described gesture motion is consistent with described default biological characteristic.
9. device according to claim 6, is characterized in that, described acquisition module comprises:
Collecting unit, for when described user performs this gesture motion, described mobile terminal gathers the range data of this gesture motion and this mobile terminal, the motion trace data of this gesture motion, the speed data of this gesture motion, and the character shape data of finger performing this gesture motion.
10. the device according to any one of claim 6 to 9, is characterized in that, be provided with in described acquisition module following one of at least: range sensor, camera, photoelectric sensor.
CN201410488247.2A 2014-09-22 2014-09-22 Identity authentication method and identity authentication device Pending CN104392160A (en)

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104811443A (en) * 2015-04-07 2015-07-29 深圳市金立通信设备有限公司 Identity authentication method
CN104836795A (en) * 2015-04-07 2015-08-12 深圳市金立通信设备有限公司 Terminal
CN105139194A (en) * 2015-09-30 2015-12-09 联想(北京)有限公司 Method and system of connection establishment, and electronic devices
CN106161020A (en) * 2015-03-27 2016-11-23 阿里巴巴集团控股有限公司 A kind of identity authentication method and device
CN106407871A (en) * 2015-07-29 2017-02-15 宇龙计算机通信科技(深圳)有限公司 Fingerprint verification method and apparatus
CN110232366A (en) * 2019-06-19 2019-09-13 精英数智科技股份有限公司 Detection method, device, server and the medium of electrostatic protection executive condition
CN111108408A (en) * 2017-06-27 2020-05-05 苹果公司 Gesture recognition radar system and method
CN111290285A (en) * 2016-05-31 2020-06-16 广东美的制冷设备有限公司 Gesture recognition control method, gesture recognition control device and equipment
CN111352501A (en) * 2019-12-09 2020-06-30 华为技术有限公司 Service interaction method and device
CN112417411A (en) * 2020-11-18 2021-02-26 深圳市优必选科技股份有限公司 Identity recognition method, device, electronic equipment and medium
CN113127834A (en) * 2021-05-13 2021-07-16 支付宝(杭州)信息技术有限公司 Barrier-free man-machine identification verification method and system
US11946996B2 (en) 2020-06-30 2024-04-02 Apple, Inc. Ultra-accurate object tracking using radar in multi-object environment

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106161020A (en) * 2015-03-27 2016-11-23 阿里巴巴集团控股有限公司 A kind of identity authentication method and device
CN106161020B (en) * 2015-03-27 2019-08-09 阿里巴巴集团控股有限公司 A kind of identity authentication method and device
CN104836795A (en) * 2015-04-07 2015-08-12 深圳市金立通信设备有限公司 Terminal
CN104836795B (en) * 2015-04-07 2019-05-14 深圳市金立通信设备有限公司 A kind of terminal
CN104811443B (en) * 2015-04-07 2019-05-14 深圳市金立通信设备有限公司 A kind of identity identifying method
CN104811443A (en) * 2015-04-07 2015-07-29 深圳市金立通信设备有限公司 Identity authentication method
CN106407871A (en) * 2015-07-29 2017-02-15 宇龙计算机通信科技(深圳)有限公司 Fingerprint verification method and apparatus
CN105139194A (en) * 2015-09-30 2015-12-09 联想(北京)有限公司 Method and system of connection establishment, and electronic devices
CN105139194B (en) * 2015-09-30 2019-09-24 联想(北京)有限公司 A kind of method that establishing connection, electronic equipment and the system for establishing connection
CN111290285A (en) * 2016-05-31 2020-06-16 广东美的制冷设备有限公司 Gesture recognition control method, gesture recognition control device and equipment
CN111108408A (en) * 2017-06-27 2020-05-05 苹果公司 Gesture recognition radar system and method
CN110232366A (en) * 2019-06-19 2019-09-13 精英数智科技股份有限公司 Detection method, device, server and the medium of electrostatic protection executive condition
CN111352501A (en) * 2019-12-09 2020-06-30 华为技术有限公司 Service interaction method and device
US11946996B2 (en) 2020-06-30 2024-04-02 Apple, Inc. Ultra-accurate object tracking using radar in multi-object environment
CN112417411A (en) * 2020-11-18 2021-02-26 深圳市优必选科技股份有限公司 Identity recognition method, device, electronic equipment and medium
CN113127834A (en) * 2021-05-13 2021-07-16 支付宝(杭州)信息技术有限公司 Barrier-free man-machine identification verification method and system

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Application publication date: 20150304