CN105389703A - Multi-mode-biological-recognition-based hybrid authentication payment system - Google Patents
Multi-mode-biological-recognition-based hybrid authentication payment system Download PDFInfo
- Publication number
- CN105389703A CN105389703A CN201510760386.0A CN201510760386A CN105389703A CN 105389703 A CN105389703 A CN 105389703A CN 201510760386 A CN201510760386 A CN 201510760386A CN 105389703 A CN105389703 A CN 105389703A
- Authority
- CN
- China
- Prior art keywords
- information
- authentication
- unit
- finger print
- match
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/382—Payment protocols; Details thereof insuring higher security of transaction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Computer Security & Cryptography (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (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 puts forward a multi-mode-biological-recognition-based hybrid authentication payment system comprising a collection unit, a storage unit, a control unit, an authentication unit and a payment unit. The collection unit is used for collecting two or more than two kinds of biological recognition feature information; the storage unit is used for storing two or more than two kinds of biological recognition feature information with the same type as the biological recognition feature information of the collection unit, of preset individual information in advance; the control unit is used for receiving and identifying the biological recognition feature information collected by the collection unit; and the authentication unit is used for carrying out comparison and matching of all information; if information is identical, authentication is done successfully; and the payment unit is used for executing a payment operation according to a payment signal. According to the invention, authentication payment is carried out by using the two or more than two kinds of biological recognition feature information, thereby improving safety of payment substantially.
Description
Technical field
The present invention relates to communication technical field, especially relate to a kind of multi-mode bio-identification hybrid authentication payment system.
Background technology
Along with popularizing of ecommerce, the mode of being undertaken paying by digitization system is subject to the favor of more and more consumer and businessman.Without the need to making in cash when consumer pays, businessman also without the need to carrying out small change, simplifies process of exchange.
But the digitizing payment system disclosed in prior art all needs consumer to hold the authentication instrument of entity, such as: when carrying out bankcard consumption, consumer needs to provide bank card, and when using Web bank to pay, consumer needs to provide U shield or other customer's certificate.These entity authentication instruments are easily lost, and use procedure is comparatively loaded down with trivial details.
Comparatively common in prior art is all carry out certification based on single-mode bio-identification then to pay, and as password, fingerprint, face etc., but the biometric authentication of single-mode still can be risky, and security is still not high enough.
Summary of the invention
For solving the problems of the technologies described above, the object of the invention is to propose a kind of multi-mode bio-identification hybrid authentication payment system, greatly improving the security of payment.
The technical scheme adopted is:
A kind of multi-mode bio-identification hybrid authentication payment system, comprises collecting unit, storage unit, control module, authentication ' unit and payment unit, wherein:
Described collecting unit, for gathering two or more biometric feature information;
Described storage unit, for prestore predetermined personal information, two or more the biometric feature information that with the biometric feature information of described collecting unit is identical type;
Described control module is for receiving the biometric feature information identifying and gather from collecting unit;
Described authentication ' unit, two or more the biometric feature information for the identical type biometric feature information collecting two or more prestored with storage unit respectively carries out mating to carry out authentication; If more than the two or the two, all the match is successful, then judge authentication success, sends pay signal to payment unit; If only wherein one the match is successful, then judge authentication failure;
Described payment unit, for performing delivery operation according to described payment signal.
Preferably, two or more biometric feature information described is two or more the combination in any in finger print information, face information, iris information, voiceprint.
Preferably, two or more biometric feature information described is finger print information is face information and iris information, and described collecting unit is used for: the iris information gathering simultaneously or successively gather individual when gathering the face information of individual; Described authentication ' unit is used for: the face information collected carried out mating to carry out authentication with the face information of the individual prestored; If it fails to match for face information, then judge authentication failure; If the match is successful for face information, then again iris information is carried out mating to carry out authentication with the iris information of the individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.
Preferably, described collecting unit is the camera lens module and infrared LED lamp that are operated by control module.
Preferably, the wave band of infrared LED lamp is 650-1200nm.
Preferably, two or more biometric feature information described is finger print information is finger print information and iris information, and described collecting unit is used for: the iris information gathering simultaneously or successively gather individual when gathering the finger print information of individual; ; Described authentication ' unit is used for: carried out mating to carry out authentication with the finger print information of the individual prestored by the finger print information collected; If it fails to match for finger print information, then judge authentication failure; If the match is successful for finger print information, then again iris information is carried out mating to carry out authentication with the iris information of the mandate individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.
Preferably, two or more biometric feature information described is finger print information is finger print information and face information, and described collecting unit is used for: the face information gathering simultaneously or successively gather individual when gathering the finger print information of individual; Described authentication ' unit is used for: carried out mating to carry out authentication with the finger print information of the individual prestored by the finger print information collected; If it fails to match for finger print information, then judge authentication failure; If the match is successful for finger print information, then again face information is carried out mating to carry out authentication with the face information of the individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.
Preferably, described payment unit is the payment unit of mobile phone or the payment unit of computer.
Beneficial effect of the present invention is:
Compared to prior art, the present invention adopts two or more biometric feature information, identification, comparison and carries out certification, when paying, two kinds of individual or the exclusive biometric feature information more than both are all mated, carry out authentication with this, only have when all mating more than the two or the two and just judge authentication success, allow delivery operation, otherwise refusal to pay operation, substantially increases the security of payment.Adopt the error rate of hybrid authentication to be parts per million (ppm) (several is 1-9), high can reach a few ten-millionth, very practical.
Accompanying drawing explanation
Fig. 1 is the structural principle block diagram of multi-mode bio-identification hybrid authentication payment system of the present invention.
Fig. 2 is the schematic diagram of fingerprint authentication basic procedure.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described further.
Shown in Figure 1, a kind of multi-mode bio-identification hybrid authentication payment system, comprises collecting unit 10, control module 20, storage unit 30, authentication ' unit 40 and payment unit 50, wherein:
Described collecting unit 10, for gathering two or more biometric feature information; Two or more biometric feature information described is two or more the combination in any in finger print information, face information, iris information, voiceprint, such as, can be the combination etc. of the combination of finger print information and face information, the combination of finger print information and iris information, the combination of face information and iris information, finger print information, face information, iris information three.
Described storage unit 20, for prestore predetermined personal information, two or more the biometric feature information that with the biometric feature information of described collecting unit is identical type; If such as collecting unit adopts the combined information collection of face information and iris information, then the combined information of what corresponding storage unit carried out storing is face information and iris information.
Described control module 30 is for receiving the biometric feature information identifying and gather from collecting unit;
Described authentication ' unit 40, two or more the biometric feature information for the identical type biometric feature information collecting two or more prestored with storage unit respectively carries out mating to carry out authentication; If more than the two or the two, all the match is successful, then judge authentication success, sends pay signal to payment unit; If only wherein one the match is successful, then judge authentication failure;
Described payment unit 50, for performing delivery operation according to described payment signal.Preferably, described payment unit is the payment unit of mobile phone or the payment unit of computer, can be that short-range communication (Near-FieldCommunication, NFC) pays during payment, also can be e-Bank payment etc., thus the present invention is more widely used.
Be described below by the mode exemplified, but be not that limit of the present invention is exemplified, neither be defined in this to scope of the present invention.
Embodiment 1
Two or more biometric feature information described is finger print information is face information and iris information.
Described collecting unit is used for: the iris information gathering simultaneously or successively gather individual when gathering the face information of individual; This collecting unit is by the camera lens module of control module control operation and infrared LED lamp.The wave band of infrared LED lamp is 650-1200nm.Camera lens module can comprise cooperatively interacting of multiple camera lens, to allow to obtain the information that can also obtain iris while face information.
Described storage unit is used for: the face information and the iris information that prestore individual's (authorized user); And preferably, the face information of the predetermined personal information of described storage unit and iris image information come from the generation of collecting unit.Namely initial iris image can from the generation of collecting unit, and as the basis of comparison.Can certainly obtain from other place, obtain as sent from cloud database or background server, but prerequisite is, such original date comes from the data being stored to cloud database or background server by individual's (authorized user).Unnecessary loaded down with trivial details for reducing, can preferably go out to arrange from iris image acquisition unit and generate initial data.The initial face information of collecting unit collection and iris information can certainly be sent to cloud database or background server, be preserved by cloud database or background server.
Described control module is CPU or MCU or control module connatural with CPC, MCU.
Described authentication ' unit is used for: the face information collected carried out mating to carry out authentication with the face information of the individual prestored; If it fails to match for face information, then judge authentication failure; If the match is successful for face information, then again iris information is carried out mating to carry out authentication with the iris information of the individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.This authentication ' unit directly can carry out certification at mobile phone terminal or computer end, also authentication ' unit can be connected with cloud database or background server, thus (or on background server) certification can be gone up beyond the clouds, also can (mobile phone or computer) certification on the subscriber terminal.
Described payment unit 50, for performing delivery operation according to described payment signal.Also, namely when the match is successful, authentication ' unit sends and pays signal to payment unit, and namely this authentication ' unit performs delivery operation after receiving and paying signal.
For this face information and iris information, be described the course of work of multi-mode bio-identification hybrid authentication payment system of the present invention, as follows:
First, acquisition module gathers human face image information and iris image information; Then, control module 20 receives and identifies by the human face image information that scans and iris image information; Then, the human face image information collected and the human face image information of the individual prestored carry out mating to carry out authentication by authentication ' unit; If it fails to match for human face image information, then judge authentication failure, refusal to pay; If the match is successful for face information, then again iris information is carried out mating to carry out authentication with the iris image information of the individual prestored, if the match is successful for iris image information, then judge authentication success, if it fails to match for iris information, then judge authentication failure, refusal to pay; Last payment unit performs delivery operation according to the payment signal of the confirmation received.
Embodiment 2
Two or more biometric feature information described is finger print information is finger print information and iris information.With reference to embodiment 1, as different from Example 1,
Described collecting unit is used for: the iris information gathering simultaneously or successively gather individual when gathering the finger print information of individual; ; To finger print information, first acquisition module can generate fingerprint inputting interface, and prompting user inputs fingerprint, then gathers the finger print information of user.
Described authentication ' unit is used for: carried out mating to carry out authentication with the finger print information of the individual prestored by the finger print information collected; If it fails to match for finger print information, then judge authentication failure; If the match is successful for finger print information, then again the iris information collected is carried out mating to carry out authentication with the iris information of the mandate individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.
Embodiment 3
With reference to embodiment 2, as different from Example 2,
Two or more biometric feature information described is finger print information is finger print information and face information.
Described collecting unit comprises the collection of finger print information and the collection of face information, can gather simultaneously, also can successively gather.
Described storage unit comprises finger print data, human face data, authorization data etc.
Described authentication ' unit comprises multiple contrast engine.
In the certification of authentication ' unit, comprise fingerprint authentication, wherein the input of fingerprint authentication algorithm is two pieces of fingerprint images, and wherein one piece for being called login fingerprint, namely initial data; Another piece is called fingerprint to be verified.The object of fingerprint authentication is by fingerprint recognition alignment algorithm, confirms fingerprint to be verified and whether logs in fingerprint from same finger, and then determines that whether the identity of fingerprint collecting object to be verified is consistent with the identity logging in fingerprint collecting object.
Fingerprint authentication algorithm comprises two parts: fingerprint characteristic template extraction and feature templates comparison, and wherein feature templates extracts and is divided into again the feature templates extraction logging in fingerprint to extract with the feature templates of fingerprint to be verified.Fig. 2 gives the signal of fingerprint authentication basic procedure.Wherein namely fingerprint characteristic template extraction is initial finger print data; Namely feature templates is follow-up finger print information to be verified.
2) about face information certification:
Wherein control module also comprises pre-service, feature extraction and identification.
Pre-service is removed noise by facial image, is strengthened useful information.As face position detected in the picture, remove background interference.
Feature extraction extracts feature from facial image, this feature as a high dimension vector, point in each feature interpretation high-dimensional feature space.
Identification is merged the various features of extraction, such as: face shape feature, face gray feature and face dermatoglyph feature etc. carry out recognition of face, and its core algorithm can be:
Shape data, gradation data and dermatoglyph data are extracted from facial image;
Shape facility is extracted from shape data;
Gray feature is extracted from gradation data;
From dermatoglyph extracting data textural characteristics;
Gray feature, textural characteristics, shape facility are sent into respectively gray feature recognizer, textural characteristics recognizer, shape facility recognizer obtain identifying score value; Identify that score value can be Euclidean distance between feature or Bayes distance;
Gray feature, textural characteristics, shape facility are merged, sends into multiple features fusion recognizer, obtain identifying score value;
The identification score value that the identification score value of the single feature obtained and multiple features fusion identification obtain is sent to multiple Classifiers Combination algorithm and carries out Multiple Classifier Fusion (as weighted sum), finally identified score value.
Namely face verification is compare to the feature that each extracts.When comparison coupling or in an acceptable error range as matching degree reaches more than 97%, then can judge that the match is successful.
Embodiment 4
With reference to embodiment 2, as different from Example 2,
Two or more biometric feature information described is finger print information is voiceprint and face information.So-called vocal print (Voiceprint) is the sound wave spectrum carrying verbal information of electricity consumption acoustic instrument display.Vocal print not only has specificity, and has the feature of relative stability.After growing up, the sound of people can keep long-term relatively stable constant.Experiment proves, no matter talker deliberately imitates other people sound and the tone, or whisper in sb.'s ear is talked softly, even if imitate remarkably true to life, its vocal print is but not identical all the time.
Collecting unit comprises microphone for gathering language (or claiming microphone), in the memory unit by voiceprint that collecting unit collection is initial.Also the initial voiceprint of collecting unit collection can be gone up beyond the clouds or background server is preserved.
A series of detailed description listed is above only illustrating for possible embodiments of the present invention; they are also not used to limit the scope of the invention, all do not depart from the skill of the present invention Equivalent embodiments done of spirit or change all should be included within protection scope of the present invention.
Claims (8)
1. a multi-mode bio-identification hybrid authentication payment system, is characterized in that, comprises collecting unit, storage unit, control module, authentication ' unit and payment unit, wherein:
Described collecting unit, for gathering two or more biometric feature information;
Described storage unit, for prestore predetermined personal information, two or more the biometric feature information that with the biometric feature information of described collecting unit is identical type;
Described control module is for receiving the biometric feature information identifying and gather from collecting unit;
Described authentication ' unit, two or more the biometric feature information for the identical type biometric feature information collecting two or more prestored with storage unit respectively carries out mating to carry out authentication; If more than the two or the two, all the match is successful, then judge authentication success, sends pay signal to payment unit; If only wherein one the match is successful, then judge authentication failure;
Described payment unit, for performing delivery operation according to described payment signal.
2. multi-mode bio-identification hybrid authentication payment system as claimed in claim 1, it is characterized in that, two or more biometric feature information described is two or more the combination in any in finger print information, face information, iris information, voiceprint.
3. multi-mode bio-identification hybrid authentication payment system as claimed in claim 2, it is characterized in that, two or more biometric feature information described is finger print information is face information and iris information, and described collecting unit is used for: the iris information gathering simultaneously or successively gather individual when gathering the face information of individual; Described authentication ' unit is used for: the face information collected carried out mating to carry out authentication with the face information of the individual prestored; If it fails to match for face information, then judge authentication failure; If the match is successful for face information, then again iris information is carried out mating to carry out authentication with the iris information of the individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.
4. multi-mode bio-identification hybrid authentication payment system as claimed in claim 3, it is characterized in that, described collecting unit is the camera lens module and infrared LED lamp that are operated by control module.
5. multi-mode bio-identification hybrid authentication payment system as claimed in claim 4, it is characterized in that, the wave band of described infrared LED lamp is 650-1200nm.
6. multi-mode bio-identification hybrid authentication payment system as claimed in claim 2, it is characterized in that, two or more biometric feature information described is finger print information is finger print information and iris information, and described collecting unit is used for: the iris information gathering simultaneously or successively gather individual when gathering the finger print information of individual; Described authentication ' unit is used for: carried out mating to carry out authentication with the finger print information of the individual prestored by the finger print information collected; If it fails to match for finger print information, then judge authentication failure; If the match is successful for finger print information, then again iris information is carried out mating to carry out authentication with the iris information of the mandate individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.
7. multi-mode bio-identification hybrid authentication payment system as claimed in claim 2, it is characterized in that, two or more biometric feature information described is finger print information is finger print information and face information, and described collecting unit is used for: the face information gathering simultaneously or successively gather individual when gathering the finger print information of individual; Described authentication ' unit is used for: carried out mating to carry out authentication with the finger print information of the individual prestored by the finger print information collected; If it fails to match for finger print information, then judge authentication failure; If the match is successful for finger print information, then again face information is carried out mating to carry out authentication with the face information of the individual prestored, if the match is successful for iris information, then judge authentication success, if it fails to match for iris information, then judge authentication failure.
8. the multi-mode bio-identification hybrid authentication payment system as described in any one of claim 1-7, is characterized in that, described payment unit is the payment unit of mobile phone or the payment unit of computer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510760386.0A CN105389703A (en) | 2015-11-10 | 2015-11-10 | Multi-mode-biological-recognition-based hybrid authentication payment system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510760386.0A CN105389703A (en) | 2015-11-10 | 2015-11-10 | Multi-mode-biological-recognition-based hybrid authentication payment system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105389703A true CN105389703A (en) | 2016-03-09 |
Family
ID=55421966
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510760386.0A Pending CN105389703A (en) | 2015-11-10 | 2015-11-10 | Multi-mode-biological-recognition-based hybrid authentication payment system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105389703A (en) |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105913264A (en) * | 2016-04-01 | 2016-08-31 | 王涛 | Face payment device based on fingerprint auxiliary identity identification |
| CN105989488A (en) * | 2016-03-18 | 2016-10-05 | 李明 | Payment method and system |
| CN106372939A (en) * | 2016-08-24 | 2017-02-01 | 深圳市亿行电子科技有限公司 | Payment system |
| CN106446652A (en) * | 2016-09-13 | 2017-02-22 | 青岛海信移动通信技术股份有限公司 | Mobile terminal unlocking method and mobile terminal unlocking device |
| CN106570370A (en) * | 2016-03-18 | 2017-04-19 | 深圳市全智达科技有限公司 | User identity identification method and device |
| CN106911725A (en) * | 2017-05-02 | 2017-06-30 | 北京汇通金财信息科技有限公司 | A kind of multiple-factor authentication method and device |
| CN106991572A (en) * | 2017-06-09 | 2017-07-28 | 辽宁便利电科技有限公司 | A kind of living body authentication payment system for merging user's multi-biological characteristic |
| CN107077615A (en) * | 2017-01-12 | 2017-08-18 | 厦门中控生物识别信息技术有限公司 | Fingerprint method for anti-counterfeit and equipment |
| CN107392613A (en) * | 2017-06-23 | 2017-11-24 | 广东小天才科技有限公司 | A kind of customer transaction verification method and terminal device |
| CN107403313A (en) * | 2016-05-19 | 2017-11-28 | 上海慧流云计算科技有限公司 | Robot near field safety of payment verification method and device |
| CN107730251A (en) * | 2017-09-28 | 2018-02-23 | 山西特信环宇信息技术有限公司 | Cash in banks electronics based on biological identification technology draws system and operating method |
| CN107911371A (en) * | 2017-11-23 | 2018-04-13 | 郑州云海信息技术有限公司 | A kind of identity identifying method and system based on a variety of biological characteristics |
| CN108108974A (en) * | 2017-12-04 | 2018-06-01 | 阿里巴巴集团控股有限公司 | Method of payment and device and electronic equipment |
| WO2018113208A1 (en) * | 2017-06-14 | 2018-06-28 | 钟杰东 | Partial fingerprint and partial iris payment device |
| CN108416202A (en) * | 2018-02-11 | 2018-08-17 | 宁波远景汽车零部件有限公司 | Vehicle starting method based on living things feature recognition and device |
| CN108564374A (en) * | 2018-04-12 | 2018-09-21 | 出门问问信息科技有限公司 | Payment authentication method, device, equipment and storage medium |
| CN108846676A (en) * | 2018-08-02 | 2018-11-20 | 平安科技（深圳）有限公司 | Biological characteristic assistant payment method, device, computer equipment and storage medium |
| WO2019011109A1 (en) * | 2017-07-14 | 2019-01-17 | Oppo广东移动通信有限公司 | Permission control method and related product |
| WO2019036850A1 (en) * | 2017-08-21 | 2019-02-28 | 深圳市汇顶科技股份有限公司 | Identity authentication method, apparatus and electronic device employing multiple biometric sensors |
| CN109598232A (en) * | 2018-12-03 | 2019-04-09 | 恒睿(重庆)人工智能技术研究院有限公司 | A kind of integrated bio identification technology control method and its device |
| CN109598515A (en) * | 2018-11-29 | 2019-04-09 | 阿里巴巴集团控股有限公司 | A kind of method of payment, payment mechanism and terminal device |
| CN109816388A (en) * | 2017-11-20 | 2019-05-28 | 北京小米移动软件有限公司 | Event-handling method and device, electronic equipment |
| CN110519061A (en) * | 2019-09-02 | 2019-11-29 | 国网电子商务有限公司 | A kind of identity identifying method based on biological characteristic, equipment and system |
| CN112639871A (en) * | 2018-10-03 | 2021-04-09 | 株式会社日立制作所 | Biometric authentication system, biometric authentication method, and program |
| CN113609464A (en) * | 2021-08-04 | 2021-11-05 | 河南华辰智控技术有限公司 | Big data analysis management system based on multi-modal biological recognition |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102930436A (en) * | 2012-10-23 | 2013-02-13 | 江苏乐买到网络科技有限公司 | Mobile payment method and device |
| CN203102365U (en) * | 2012-12-28 | 2013-07-31 | 国民技术股份有限公司 | Terminal and authentication apparatus |
| CN104574086A (en) * | 2014-12-29 | 2015-04-29 | 宇龙计算机通信科技(深圳)有限公司 | Payment method, device and terminal |
-
2015
- 2015-11-10 CN CN201510760386.0A patent/CN105389703A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102930436A (en) * | 2012-10-23 | 2013-02-13 | 江苏乐买到网络科技有限公司 | Mobile payment method and device |
| CN203102365U (en) * | 2012-12-28 | 2013-07-31 | 国民技术股份有限公司 | Terminal and authentication apparatus |
| CN104574086A (en) * | 2014-12-29 | 2015-04-29 | 宇龙计算机通信科技(深圳)有限公司 | Payment method, device and terminal |
Cited By (35)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105989488A (en) * | 2016-03-18 | 2016-10-05 | 李明 | Payment method and system |
| CN106570370A (en) * | 2016-03-18 | 2017-04-19 | 深圳市全智达科技有限公司 | User identity identification method and device |
| CN105989488B (en) * | 2016-03-18 | 2020-02-21 | 李明 | Payment method and system |
| CN105913264B (en) * | 2016-04-01 | 2018-05-22 | 广州代伴网络科技有限公司 | Face payment mechanism based on the identification of fingerprint secondary identities |
| CN105913264A (en) * | 2016-04-01 | 2016-08-31 | 王涛 | Face payment device based on fingerprint auxiliary identity identification |
| CN107403313A (en) * | 2016-05-19 | 2017-11-28 | 上海慧流云计算科技有限公司 | Robot near field safety of payment verification method and device |
| CN106372939A (en) * | 2016-08-24 | 2017-02-01 | 深圳市亿行电子科技有限公司 | Payment system |
| CN106446652A (en) * | 2016-09-13 | 2017-02-22 | 青岛海信移动通信技术股份有限公司 | Mobile terminal unlocking method and mobile terminal unlocking device |
| CN107077615A (en) * | 2017-01-12 | 2017-08-18 | 厦门中控生物识别信息技术有限公司 | Fingerprint method for anti-counterfeit and equipment |
| CN106911725A (en) * | 2017-05-02 | 2017-06-30 | 北京汇通金财信息科技有限公司 | A kind of multiple-factor authentication method and device |
| CN106911725B (en) * | 2017-05-02 | 2021-03-26 | 北京汇通金财信息科技有限公司 | Multi-factor authentication method and device |
| CN106991572A (en) * | 2017-06-09 | 2017-07-28 | 辽宁便利电科技有限公司 | A kind of living body authentication payment system for merging user's multi-biological characteristic |
| WO2018113208A1 (en) * | 2017-06-14 | 2018-06-28 | 钟杰东 | Partial fingerprint and partial iris payment device |
| CN109154956A (en) * | 2017-06-14 | 2019-01-04 | 钟杰东 | A kind of residual line and residual film payment devices |
| CN109154956B (en) * | 2017-06-14 | 2020-07-03 | 钟杰东 | Incomplete line and incomplete membrane payment equipment |
| CN107392613A (en) * | 2017-06-23 | 2017-11-24 | 广东小天才科技有限公司 | A kind of customer transaction verification method and terminal device |
| US11176235B2 (en) | 2017-07-14 | 2021-11-16 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Permission control method and related product |
| WO2019011109A1 (en) * | 2017-07-14 | 2019-01-17 | Oppo广东移动通信有限公司 | Permission control method and related product |
| WO2019036850A1 (en) * | 2017-08-21 | 2019-02-28 | 深圳市汇顶科技股份有限公司 | Identity authentication method, apparatus and electronic device employing multiple biometric sensors |
| CN107730251A (en) * | 2017-09-28 | 2018-02-23 | 山西特信环宇信息技术有限公司 | Cash in banks electronics based on biological identification technology draws system and operating method |
| CN109816388A (en) * | 2017-11-20 | 2019-05-28 | 北京小米移动软件有限公司 | Event-handling method and device, electronic equipment |
| CN107911371A (en) * | 2017-11-23 | 2018-04-13 | 郑州云海信息技术有限公司 | A kind of identity identifying method and system based on a variety of biological characteristics |
| CN108108974A (en) * | 2017-12-04 | 2018-06-01 | 阿里巴巴集团控股有限公司 | Method of payment and device and electronic equipment |
| CN108416202A (en) * | 2018-02-11 | 2018-08-17 | 宁波远景汽车零部件有限公司 | Vehicle starting method based on living things feature recognition and device |
| CN108564374A (en) * | 2018-04-12 | 2018-09-21 | 出门问问信息科技有限公司 | Payment authentication method, device, equipment and storage medium |
| WO2020024398A1 (en) * | 2018-08-02 | 2020-02-06 | 平安科技（深圳）有限公司 | Biometrics-assisted payment method and apparatus, and computer device and storage medium |
| CN108846676A (en) * | 2018-08-02 | 2018-11-20 | 平安科技（深圳）有限公司 | Biological characteristic assistant payment method, device, computer equipment and storage medium |
| CN112639871A (en) * | 2018-10-03 | 2021-04-09 | 株式会社日立制作所 | Biometric authentication system, biometric authentication method, and program |
| CN109598515A (en) * | 2018-11-29 | 2019-04-09 | 阿里巴巴集团控股有限公司 | A kind of method of payment, payment mechanism and terminal device |
| US10803444B2 (en) | 2018-11-29 | 2020-10-13 | Alibaba Group Holding Limited | Method, device and terminal for payment |
| US11132669B2 (en) | 2018-11-29 | 2021-09-28 | Advanced New Technologies Co., Ltd. | Method, device and terminal for payment |
| CN109598232A (en) * | 2018-12-03 | 2019-04-09 | 恒睿(重庆)人工智能技术研究院有限公司 | A kind of integrated bio identification technology control method and its device |
| CN110519061A (en) * | 2019-09-02 | 2019-11-29 | 国网电子商务有限公司 | A kind of identity identifying method based on biological characteristic, equipment and system |
| CN113609464A (en) * | 2021-08-04 | 2021-11-05 | 河南华辰智控技术有限公司 | Big data analysis management system based on multi-modal biological recognition |
| CN113609464B (en) * | 2021-08-04 | 2023-11-07 | 河南华辰智控技术有限公司 | Big data analysis management system based on multi-mode biological recognition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105389703A (en) | Multi-mode-biological-recognition-based hybrid authentication payment system | |
| CN104680375A (en) | Identification verifying system for living human body for electronic payment | |
| US20200084207A1 (en) | System and method to authenticate electronics using electronic-metrics | |
| CN204667465U (en) | Pay true man's live body authentication system by mails | |
| CN101231737B (en) | Method and system for enhancing internet bank trade security | |
| CN106790054A (en) | Interactive authentication system and method based on recognition of face and Application on Voiceprint Recognition | |
| CN105069622A (en) | Face identification payment system facing mobile terminal and face identification payment method facing mobile terminal | |
| CN104361276A (en) | Multi-mode biometric authentication method and multi-mode biometric authentication system | |
| EP3887982B1 (en) | Biometric authentication | |
| CN103310339A (en) | Identity recognition device and method as well as payment system and method | |
| CN105243740A (en) | Card safety identity authentication system and implementation method based on biometric feature identification technology | |
| CN103699995A (en) | Payment authentication method based on fingerprints and finger veins | |
| CN104462922A (en) | Method for verifying authorization on basis of biological recognition | |
| US20190370450A1 (en) | Method and system for authenticating a user on a wearable heads-up display | |
| WO2018235055A1 (en) | Facial biometrics card emulation for in-store payment authorization | |
| WO2006014205B1 (en) | System for biometric security using a smartcard | |
| US11494474B2 (en) | Brain activity-based authentication | |
| EP3682356B1 (en) | Efficient hands free interaction using biometrics | |
| CN104778392A (en) | Privilege validation method and system on basis of biological identification | |
| CN104270253A (en) | Method, devices and system for user identity authentication | |
| Agidi | Biometrics: the future of banking and financial service industry in Nigeria | |
| KR102514036B1 (en) | Electronic device and method for controlling the same | |
| CN113052605A (en) | Transaction authorization method and device and virtual reality equipment | |
| CN111831989A (en) | Identity authentication method and device based on multi-mode PPG signal | |
| CN105989346B (en) | Construction method of online shopping mobile phone payment system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20161114 Address after: 361000 Fujian province China (Fujian) free trade Xiamen experimentation area Xiangyun Road No. 93 Xiangyun 310 unit A748 Applicant after: Xiamen face information technology Co., Ltd. Address before: 022150 the Inner Mongolia Autonomous Region Hulun Buir city Yakeshi city Xingan Street alley No. 401 Education Hall Applicant before: Chen Lei |
|
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160309 |
|
| RJ01 | Rejection of invention patent application after publication |