CN108932416A - A method of confirmed based on fingerprint and electrocardio dual identity - Google Patents

A method of confirmed based on fingerprint and electrocardio dual identity Download PDF

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Publication number
CN108932416A
CN108932416A CN201810451833.8A CN201810451833A CN108932416A CN 108932416 A CN108932416 A CN 108932416A CN 201810451833 A CN201810451833 A CN 201810451833A CN 108932416 A CN108932416 A CN 108932416A
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fingerprint
electrocardio
timestamp
section
match
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马振宇
徐升
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Guangdong Wearable Digital Technology Co Ltd
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Guangdong Wearable Digital Technology Co Ltd
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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
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70Multimodal biometrics, e.g. combining information from different biometric modalities

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The method based on fingerprint and the confirmation of electrocardio dual identity that the present invention relates to a kind of, the method includes:Step 1 obtains the timestamp/section A for detecting the system of human body electrocardio waveform;And obtain the timestamp/section B for detecting the system of the somatic fingerprint information;Step 2 matches finger print information, if deserving, is transferred to step 5;Step 3 determines whether to body part detection of laboring;If so, being transferred to step 4;If it is not, being then transferred to step 6;Step 4, if A and B do not match that identification reports an error;If A and B match, start electrocardiogram (ECG) data identification algorithm;Step 5, if A and B do not match that identification reports an error;If A and B match, start electrocardiogram (ECG) data identification algorithm;Step 6, in the interface for logging on to the User ID.

Description

A method of confirmed based on fingerprint and electrocardio dual identity
Technical field
The present invention relates to a kind of methods of identity validation, and in particular to the dual confirmation based on fingerprint and ecg information is really Recognize the method for the measured identity.
Background technique
Household or continuous-flow type measure electrocardio at present(As using with electrocardio robot measurement)It is most to carry out electrocardio measurement It is measured using single lead electrocardio.In measurement, since a machine is measured for more people, so needing first to confirm quilt before measuring The identity of gauger, in this way, the measurement structure could correspond to correct people.Current common practice is before measuring in screen The username and password for inputting user on the upper or screen of robot is registered or is logged in, and is then tested again.Closely Nian Lai has the mode of some identifications to be gradually used, such as identity card identification, recognition of face, Application on Voiceprint Recognition(Such as Baidu CN107481720A)Mode carry out contactless identification and gradually using.
Identification is such as carried out using photographing device, first is that needing to be equipped with special image processing module, second is that light pair Identification influences huge;Identification is such as carried out using vocal print, user needs the moment to keep true qualities sound, once there is certain influence It can not may be identified at all after the lesion of tone color.
In addition, be first to carry out identification when the use of these modes, log on to after measuring system further according to Need to carry out the measurement of sign, such as electrocardio measurement, Oximetry.
In identification, fingerprint recognition is a kind of very high method of resolution, still, in living body authentication, Fingerprint recognition has biggish uncertainty.
Currently, have existed based on electrocardiosignal carry out identification method, as CN103714281B, CN104771178B, CN104102915A, CN104287717A etc. are representative based on electrocardio using Shenzhen Xianjin Technology Academe Signal represents the maturation of electrocardiogram (ECG) data identification algorithm to the technology of identification, these technologies.
Above- mentioned information are only used for reinforcing the understanding to the background of the disclosure, therefore it disclosed in the background technology part It may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The present invention for the above technical issues, the electrocardiogram (ECG) data identification algorithm mentioned in based on background technique On the basis of, a kind of method confirmed based on fingerprint and electrocardio dual identity is provided, in this way, on the basis of fingerprint recognition Fingerprint recognition is supplemented using electrocardiogram (ECG) data identification algorithm so that require user carry out living body authentication when It waits, disposably the identity of user accurately can be confirmed.
Technical scheme is as follows:
A method of confirmed based on fingerprint and electrocardio dual identity, which is characterized in that the method includes:
Step 1 obtains the timestamp/section A for detecting the system of human body electrocardio waveform;And it obtains and detects the somatic fingerprint The timestamp of the system of information/section B;
Step 2, if the finger print information phase of fingerprint database existing subscriber ID of the finger print information with storage in systems Match, then the system extracts corresponding User ID and goes to step 3;If not matching that, the system obtains fingerprint letter again It ceases and the finger print information of the fingerprint database existing subscriber ID with storage in systems matches, if still not matching that, It is transferred to step 5;
Step 3 determines whether to body part detection of laboring;If so, being transferred to step 4;If it is not, being then transferred to step 6;
Step 4, if the timestamp/section A and the timestamp/section B do not match that identification reports an error;
If the timestamp/section A and the timestamp/section B match, start electrocardiogram (ECG) data identification algorithm:If described The data of human body electrocardio waveform do not match that then identity is known with the heart wave data in the heart wave data library of existing User ID It does not report an error;Such as match, then the system extracts the existing User ID to match, if this is had in ID and the step 2 The User ID that the system is extracted is consistent, then is transferred to step 6, if inconsistent, identification reports an error;
Step 5, if the timestamp/section A and the timestamp/section B do not match that identification reports an error;
If the timestamp/section A and the timestamp/section B match, start electrocardiogram (ECG) data identification algorithm:If described The data of human body electrocardio waveform match with the heart wave data in the heart wave data library of existing User ID, then the system It extracts the existing User ID to match and is transferred to step 6;If not matching that, identification reports an error;
Step 6, in the interface for logging on to the User ID.
Further, in the step 5, if the electrocardio of the data of the human body electrocardio waveform and existing User ID Heart wave data in wave database do not match that, then generates a User ID at random, described will obtain again finger print information with The data of the human body electrocardio waveform correspond to the User ID generated at random.
Further, when logging off, the system prompt renames the User ID generated at random.
Further, the system comprises the measurement of single lead electrocardio and analysis module based on three fingers, three fingers It is three fingers for including two hands of same user or so;The electrocardio measurement and analysis module detect the human body electrocardio wave Shape.
Further, it is obtained the system comprises the fingerprint of detection fingerprint and identification module, the fingerprint is obtained and identified Module obtains the fingerprint of the finger other than three finger and is identified.
Further, in said step 1, if electrocardio measurement and analysis module detect waveform, the electrocardio Measurement and analysis module analyze the waveform detected, and whether the waveform detected described in judgement is normal human body electrocardio Waveform, if it is not, then the electrocardio measurement and analysis module continue to test;If so, the system acquisition detects human body electrocardio The timestamp of the system of waveform/section A, and the heart wave data of the human body electrocardio waveform is recorded, the heart wave data is deposited Store up ecg database.
Further, in said step 1, described if the fingerprint obtains and identification module detects fingerprint image Whether the fingerprint image that fingerprint obtains and identification module judgement detects is normal fingerprint image, if it is not, then the fingerprint obtains It takes and is continued to test with identification module;
If so, the system obtain the timestamp of the system of the normal fingerprint image for detecting somatic fingerprint/ Section B, and record the finger print information of the fingerprint image.
Further, the system storage time threshold value T, if A ∈【B, B+T】, then the timestamp/section A and it is described when Between stamp/section B match.The time threshold is preferably 30 seconds.
Through the above technical solution, user can directly utilize fingerprint when not needing to labor body authentication Carry out identification login, and need to labor body authentication when, then introduce electrocardiogram (ECG) data identification algorithm to authentication It is supplemented.
Detailed description of the invention
Its example embodiment is described in detail by referring to accompanying drawing, above and other target of the invention, feature and advantage will It becomes more fully apparent.
Fig. 1 is flow chart of the invention.
Fig. 2 is user while the schematic diagram for carrying out electrocardio measurement and fingerprint recognition.
Fig. 3 is the schematic diagram for robot system.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes Formula is implemented, and is not understood as limited to example set forth herein;On the contrary, thesing embodiments are provided so that the present invention will more Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.Attached drawing is only the present invention Schematic illustrations, be not necessarily drawn to scale.Identical appended drawing reference indicates same or similar part in figure, thus Repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner In mode.In the following description, many details are provided to provide and fully understand to embodiments of the present invention.So And it will be appreciated by persons skilled in the art that technical solution of the present invention can be practiced and omit one in the specific detail Or more, or can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes Known features, method, apparatus, realization or operation are to avoid a presumptuous guest usurps the role of the host and each aspect of the present invention is made to thicken.
As shown in Fig. 2, electrocardio measurement and analysis can be set in domestic monitoring/health/physical examination robot mostly at present Module, using single lead electrocardio measurement method in the small device being generally moved easily, single lead electrocardio is measured as using will be left Upper limb electrode is connected with the positive terminal of electrocardiograph, and right upper extremity electrode is connected with negative pole end, reflects left upper extremity(l)With right upper extremity(r )Potential difference.When the current potential of l is higher than r, a upward waveform is just traced out;When the current potential of r is higher than l, then trace A downward waveform out.1 measures three finger set-down locations with analysis module for electrocardio in diagram, it is preferred that two, the left side Finger, one, the right finger are for carrying out the measurement of three finger list lead electrocardios.
On the right near a finger for acquiring electrocardiosignal, it is provided with the fingerprint that can place at least one finger Obtain and identification module, it is, of course, preferable to can place a finger." near " mean the same hand, work as acquisition When a piece finger of electrocardiosignal is placed in electrocardio measurement and analysis module, the finger for acquiring fingerprint can be placed on fingerprint naturally Acquisition and identification module.
As shown in Fig. 1, three electricity of single lead electrocardio measurement and analysis module are held or pinned with finger as user When pole, other fingers can pin fingerprint acquisition and identification module simultaneously, in this way, electrocardiosignal and fingerprint recognition signal It can be detected simultaneously by domestic monitoring/health/physical examination robot.
When the fingerprint obtains and identification module detects fingerprint image, fingerprint is obtained and identification module judgement detects Fingerprint image whether be normal fingerprint image.If it is not, the so described fingerprint obtains and identification module continues to examine It surveys.If it is, robot system obtains the system for detecting the normal fingerprint image of somatic fingerprint Timestamp/section B, and record the information of the fingerprint image.The form of the information of record can be image or capacitance.
While fingerprint obtains and identification module works:Take care electrical measurement and analysis module detects waveform, then it is described Electrocardio measurement and analysis module analyze the waveform detected, and whether the waveform detected described in judgement is normal human body Ecg wave form.If it is not, so electrocardio measurement and analysis module continue to test.If it is, system of robot System obtains the timestamp/section A for detecting the system of human body electrocardio waveform, and records the electrocardio wave number of the human body electrocardio waveform According to by heart wave data storage to ecg database.
System transfers the finger print information being saved in fingerprint database, if fruit fingerprint obtains and the finger of identification module identification The finger print information of fingerprint database existing subscriber ID of the line information with storage in systems matches, then robot system, which is extracted, is somebody's turn to do The information of existing subscriber ID.At this point, system determines whether to body part detection of laboring, if it is not, then logging on to the user In the interface of ID;Labor if necessary body authentication when, then the timestamp/section A and the timestamp/section B are sentenced It is disconnected:
If the timestamp/section A and the timestamp/section B do not match that identification reports an error;
If the timestamp/section A and the timestamp/section B match, start electrocardiogram (ECG) data identification algorithm(This algorithm According to being the prior art in background technique, the application is not repeated):If the data of the human body electrocardio waveform and existing use Heart wave data in the heart wave data library of family ID does not match that then identification reports an error;Such as match, then the system mentions The existing User ID to match is taken, if the User ID that this has ID with aforementioned system is extracted is consistent, logs on to the user In the interface of ID, if inconsistent, identification reports an error.
If the fingerprint database of fruit fingerprint obtains and identification module identifies finger print information and storage in systems is useful The finger print information of family ID does not match that then the system obtains finger print information and the fingerprint database with storage in systems again The finger print information of existing subscriber ID matches, if still not matching that, to the timestamp/section A and the timestamp/section B is judged:
If the timestamp/section A and the timestamp/section B do not match that identification reports an error;
If the timestamp/section A and the timestamp/section B match, start electrocardiogram (ECG) data identification algorithm:If described The data of human body electrocardio waveform match with the heart wave data in the heart wave data library of existing User ID, then the system The existing User ID to match is extracted to log on in the interface of the User ID;If not matching that, identification reports an error;When So, if mismatching, a User ID can also be generated at random, described will obtain again finger print information and the human body electrocardio wave The data of shape correspond to the User ID generated at random, and when logging off, and the system prompt is to the random generation User ID renamed.
The system comprises based on three fingers single lead electrocardio measurement and analysis module, three finger be include same Three fingers of two hands of user or so;The electrocardio measurement and analysis module detect the human body electrocardio waveform.
It is obtained the system comprises the fingerprint of detection fingerprint and identification module, the fingerprint obtains and identification module acquisition institute It states the fingerprint of the finger other than three fingers and is identified.
Judgement is carried out to the timestamp/section A and the timestamp/section B to make as described below:General list lead electrocardio is every The period of secondary measurement is 30 seconds, and the period of fingerprint recognition once generally only needs 1-3 seconds, and therefore, fingerprint recognition is always fast It is measured in electrocardio.Therefore, after identifying fingerprint, user also needs an equal period that electrocardio measurement is finished, that is, works as After robot system obtains the timestamp/section B for the system of the normal fingerprint image for detecting somatic fingerprint, also need Will be after some time threshold T, robot system could obtain the timestamp/section A for the system for detecting human body electrocardio waveform. It is therefore, described that match can be preferably A ∈【B, B+T】As long as that is, timestamp A can be denoted as between timestamp B to B+T Match.In view of error condition, the time threshold is preferably 30 seconds.
As shown in Fig. 3, for entire domestic monitoring/health/physical examination robot, including displayable man-machine interface User's interaction, including the database with fingerprint and electrocardiogram (ECG) data, end has fingerprint acquisition and the identification module of detection fingerprint With the cardiac electrical electrocardio measurement of detection and analysis module, centre has the modules of various detection child tigers and account relating algorithm.
It certainly, can also be using the survey for using the centre of the palm to carry out electrocardio list lead without finger when detecting electrocardio Amount.
Measurement electrocardio, which also can be set into, carries out blood oxygen detection using finger, changes electrocardio measurement and analysis module into optics Oximetry module.
Above-mentioned robot can upload the data of monitoring, and even, algorithm and data can be counted beyond the clouds It calculates and stores.Whether in addition, identified regardless of fingerprint recognition, the big data that the identification of ecg characteristics uses can be with It continues to optimize, so that confirmation is compared in the final result with fingerprint recognition.It can effectively improve electrocardio after multiple prolonged exercise The validity of characteristic identity identification.
Through the above technical solution, user can carry out the login of fingerprint recognition, not need more while electrocardio measures Remaining operation and multiple working procedure, and the recognition accuracy logged in is high.
Through the above technical solution, user can directly utilize fingerprint when not needing to labor body authentication Carry out identification login, and need to labor body authentication when, then introduce electrocardiogram (ECG) data identification algorithm to authentication It is supplemented.
Finally it should be noted that:The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations;To the greatest extent Present invention has been described in detail with reference to the aforementioned embodiments for pipe, those skilled in the art should understand that:Its according to So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into Row equivalent replacement;And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution The range of scheme.

Claims (9)

1. a kind of method confirmed based on fingerprint and electrocardio dual identity, which is characterized in that the method includes:
Step 1 obtains the timestamp/section A for detecting the system of human body electrocardio waveform;And it obtains and detects the somatic fingerprint The timestamp of the system of information/section B;
Step 2, if the finger print information phase of fingerprint database existing subscriber ID of the finger print information with storage in systems Match, then the system extracts corresponding User ID and goes to step 3;If not matching that, the system obtains fingerprint letter again It ceases and the finger print information of the fingerprint database existing subscriber ID with storage in systems matches, if still not matching that, It is transferred to step 5;
Step 3 determines whether to body part detection of laboring;If so, being transferred to step 4;If it is not, being then transferred to step 6;
Step 4, if the timestamp/section A and the timestamp/section B do not match that identification reports an error;
If the timestamp/section A and the timestamp/section B match, start electrocardiogram (ECG) data identification algorithm:If described The data of human body electrocardio waveform do not match that then identity is known with the heart wave data in the heart wave data library of existing User ID It does not report an error;Such as match, then the system extracts the existing User ID to match, if this is had in ID and the step 2 The User ID that the system is extracted is consistent, then is transferred to step 5, if inconsistent, identification reports an error;
Step 5, if the timestamp/section A and the timestamp/section B do not match that identification reports an error;
If the timestamp/section A and the timestamp/section B match, start electrocardiogram (ECG) data identification algorithm:If described The data of human body electrocardio waveform match with the heart wave data in the heart wave data library of existing User ID, then the system It extracts the existing User ID to match and is transferred to step 6;If not matching that, identification reports an error;
Step 6, in the interface for logging on to the User ID.
2. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 1, which is characterized in that in institute It states in step 5, if the heart wave data in the heart wave data library of the data of the human body electrocardio waveform and existing User ID It does not match that, then generates a User ID at random, by the data for obtaining finger print information and the human body electrocardio waveform again Correspond to the User ID generated at random.
3. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 2, which is characterized in that moving back When logging in out, the system prompt renames the User ID generated at random.
4. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 1, which is characterized in that described System include based on three fingers single lead electrocardio measurement and analysis module, three finger be include same user or so two Three fingers of hand;The electrocardio measurement and analysis module detect the human body electrocardio waveform.
5. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 1, which is characterized in that described System includes detecting fingerprint acquisition and the identification module of fingerprint, and the fingerprint obtains and identification module obtains other than three finger Finger fingerprint and identified.
6. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 1, which is characterized in that in institute It states in step 1, if electrocardio measurement and analysis module detect waveform, the electrocardio measurement and analysis module are to detection To waveform analyzed, whether the waveform detected described in judgement is normal human body electrocardio waveform, if it is not, the then electrocardio Measurement and analysis module continue to test;If so, the system obtains the timestamp/section for detecting the system of human body electrocardio waveform A, and the heart wave data of the human body electrocardio waveform is recorded, by heart wave data storage to ecg database.
7. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 1, which is characterized in that in institute It states in step 1, if the fingerprint obtains and identification module detects fingerprint image, the fingerprint is obtained and identification module is sentenced Whether the disconnected fingerprint image detected is normal fingerprint image, if it is not, then the fingerprint obtains and identification module continues to test; If so, the system obtains the timestamp/section B for detecting the system of the normal fingerprint image of somatic fingerprint, And record the finger print information of the fingerprint image.
8. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 1, which is characterized in that described System storage time threshold value T, if A ∈【B, B+T】, then the timestamp/section A and the timestamp/section B match.
9. a kind of method confirmed based on fingerprint and electrocardio dual identity according to claim 1, which is characterized in that described Time threshold is preferably 30 seconds.
CN201810451833.8A 2018-05-12 2018-05-12 A method of confirmed based on fingerprint and electrocardio dual identity Pending CN108932416A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111324880A (en) * 2020-03-09 2020-06-23 深圳连心电子科技有限公司 Fingerprint and electrocardio characteristic double-authentication identity recognition system and method
CN113628704A (en) * 2021-07-22 2021-11-09 海信集团控股股份有限公司 Health data storage method and equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104331651A (en) * 2014-10-08 2015-02-04 无锡指网生物识别科技有限公司 Fingerprint- and voice recognition-based control system and equipment
CN104616001A (en) * 2015-03-04 2015-05-13 上海箩箕技术有限公司 Fingerprint recognition system and fingerprint recognition method
CN105205464A (en) * 2015-09-18 2015-12-30 宇龙计算机通信科技(深圳)有限公司 Fingerprint identification method, fingerprint identification device and terminal
CN107092874A (en) * 2017-04-10 2017-08-25 山东大学 Personal identification method, apparatus and system based on electrocardio and fingerprint fusion feature

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104331651A (en) * 2014-10-08 2015-02-04 无锡指网生物识别科技有限公司 Fingerprint- and voice recognition-based control system and equipment
CN104616001A (en) * 2015-03-04 2015-05-13 上海箩箕技术有限公司 Fingerprint recognition system and fingerprint recognition method
CN105205464A (en) * 2015-09-18 2015-12-30 宇龙计算机通信科技(深圳)有限公司 Fingerprint identification method, fingerprint identification device and terminal
CN107092874A (en) * 2017-04-10 2017-08-25 山东大学 Personal identification method, apparatus and system based on electrocardio and fingerprint fusion feature

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王以沙: "基于手部心电信号的身份识别研究", 《万方数据库》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111324880A (en) * 2020-03-09 2020-06-23 深圳连心电子科技有限公司 Fingerprint and electrocardio characteristic double-authentication identity recognition system and method
CN113628704A (en) * 2021-07-22 2021-11-09 海信集团控股股份有限公司 Health data storage method and equipment

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Application publication date: 20181204