CN206209795U - A kind of intelligence system and mobile device based on living things feature recognition - Google Patents
A kind of intelligence system and mobile device based on living things feature recognition Download PDFInfo
- Publication number
- CN206209795U CN206209795U CN201621247540.0U CN201621247540U CN206209795U CN 206209795 U CN206209795 U CN 206209795U CN 201621247540 U CN201621247540 U CN 201621247540U CN 206209795 U CN206209795 U CN 206209795U
- Authority
- CN
- China
- Prior art keywords
- unit
- iris
- information
- recognition
- intelligence system
- 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.)
- Active
Links
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
Abstract
The utility model discloses a kind of intelligence system based on living things feature recognition, including controller, the voiceprint identification module being connected with controller communication respectively, fingerprint identification module and iris recognition module, the voiceprint identification module, the acoustic information that the fingerprint identification module and the iris recognition module will be extracted respectively, finger print information and iris information are compared identification with default user profile, the controller is according to the voiceprint identification module, the comparative result that the fingerprint identification module and the iris recognition module send carries out corresponding control operation to the intelligence system.Using system disclosed in the utility model, it is identified by sound, fingerprint and iris, three's identification feature is combined together, improves the safety coefficient of system.The utility model additionally provides a kind of mobile device, with above-mentioned technique effect.
Description
Technical field
The utility model is related to smart machine error identification technology field, more specifically to one kind based on biological special
The intelligence system of identification is levied, a kind of mobile device is further related to.
Background technology
So-called biological identification technology is exactly, by computer and optics, acoustics, biology sensor and biostatistics principle
It is intimately associated etc. high-tech means, using the intrinsic physiological property of human body, (such as fingerprint, face as, iris) and behavioural characteristic is (such as
Person's handwriting, sound, gait etc.) carry out the identification of personal identification.
It is desirable to biological characteristic is carried out, and the smart machine of equipment is all single to be identified with a kind of biological characteristic,
Fingerprint recognition or voice recognition are used such as in door control system, and above-mentioned RM easily passes through what is forced from lawless person
Mode obtains the identification of victim, damages the vital interests of victim.
In sum, the problem that the bio-identification of current smart machine is easily illegally utilized by other people how is efficiently solved,
It is current those skilled in the art's urgent problem.
Utility model content
In view of this, first purpose of the present utility model is to provide a kind of intelligence system based on living things feature recognition
System, is easily illegally utilized with the bio-identification for solving the problems, such as current smart machine by other people.Second purpose of the present utility model
It is to provide a kind of mobile device including above-mentioned intelligence system.
In order to reach above-mentioned first purpose, the utility model provides following technical scheme：
A kind of intelligence system based on living things feature recognition, including controller, are connected with the controller communication respectively
Voiceprint identification module, fingerprint identification module and iris recognition module, the voiceprint identification module, the fingerprint identification module and institute
Iris recognition module is stated respectively to be compared the acoustic information of extraction, finger print information and iris information with the user profile for prestoring
Identification, the controller sends according to the voiceprint identification module, the fingerprint identification module and the iris recognition module
Comparative result carries out corresponding control operation to the intelligence system.
Preferably, in the above-mentioned intelligence system based on living things feature recognition, the iris recognition module includes：
The iris image processing unit of information processing is carried out for the iris information to user；
Feature extraction unit for the iris information to be carried out feature extraction；
Characteristic matching unit for the characteristic information after extraction and the iris information for prestoring to be carried out codes match, it is described
Iris image processing unit, the feature extraction unit and the characteristic matching unit communicate connection successively.
Preferably, in the above-mentioned intelligence system based on living things feature recognition, the iris recognition module also includes：
The pupil image processing unit that the pupil information of the user for being extracted to the feature extraction unit is processed,
The feature extraction unit and pupil image processing unit communication connection.
Preferably, in the above-mentioned intelligence system based on living things feature recognition, the characteristic matching unit and the pupil
Graphics processing unit communication connection is used to carry out codes match to the pupil information and the pupil information for prestoring.
Preferably, in the above-mentioned intelligence system based on living things feature recognition, the voiceprint identification module includes：
Voice signal extraction unit for carrying out signal extraction to voice messaging；
For the voice recognition unit being identified to the voice messaging；
Similarity measurement unit for carrying out similarity detection to the voice messaging, the voice signal extracts single
First, described voice recognition unit and the similarity measurement unit communicate connection successively.
Preferably, in the above-mentioned intelligence system based on living things feature recognition, the characteristic matching unit respectively with it is described
Voice recognition unit and similarity measurement unit communications connection are for by the voice recognition unit and the similarity
Sound characteristic information and the default sound characteristic information of measuring unit identification carry out encoding ratio compared with.
A kind of mobile device, including the intelligence system based on living things feature recognition described in any of the above-described embodiment.
The intelligence system based on living things feature recognition that the utility model is provided, including controller, also including logical with control
Interrogate voiceprint identification module, fingerprint identification module and the iris recognition module of connection.Wherein, voiceprint identification module, fingerprint recognition mould
Block and iris recognition module are respectively compared the acoustic information of extraction, finger print information and iris information with default user profile
Relatively recognize, and comparative result is sent to controller respectively, controller is according to voiceprint identification module, fingerprint identification module and iris
The comparative result that identification module sends carries out corresponding control operation to intelligence system, and such as control system is turned on and off.Should
The system provided with the utility model, is identified by sound, fingerprint and iris, and three's identification feature is combined one
Rise, improve the safety coefficient of system.
In order to reach above-mentioned second purpose, the utility model additionally provides a kind of mobile device, and the mobile device includes
Any of the above-described kind of intelligence system based on living things feature recognition, because the above-mentioned intelligence system based on living things feature recognition has
Above-mentioned technique effect, should also imitate with the mobile device for being based on the intelligence system of living things feature recognition with corresponding technology
Really.
Brief description of the drawings
In order to illustrate more clearly of the utility model embodiment or technical scheme of the prior art, below will be to embodiment
Or the accompanying drawing to be used needed for description of the prior art is briefly described, it should be apparent that, drawings in the following description are only
It is some embodiments of the present utility model, for those of ordinary skill in the art, is not paying the premise of creative work
Under, other accompanying drawings can also be obtained according to these accompanying drawings.
The structural representation of the intelligence system based on living things feature recognition that Fig. 1 is provided for the utility model embodiment.
Marked in accompanying drawing as follows：
Controller 1, voiceprint identification module 2, fingerprint identification module 3, iris recognition module 4.
Specific embodiment
The utility model embodiment discloses a kind of intelligence system based on living things feature recognition, is set with solving current intelligence
The problem that standby bio-identification is easily illegally utilized by other people.
Below in conjunction with the accompanying drawing in the utility model embodiment, the technical scheme in the utility model embodiment is carried out
Clearly and completely describe, it is clear that described embodiment is only a part of embodiment of the utility model, rather than whole
Embodiment.Based on the embodiment in the utility model, those of ordinary skill in the art are not under the premise of creative work is made
The every other embodiment for being obtained, belongs to the scope of the utility model protection.
Refer to Fig. 1, the structure of the intelligence system based on living things feature recognition that Fig. 1 is provided for the utility model embodiment
Schematic diagram.
In a kind of specific embodiment, the intelligence system based on living things feature recognition that the utility model is provided includes
Controller 1, the voiceprint identification module 2, fingerprint identification module 3 and the iris recognition module 4 that are connected with the communication of controller 1 respectively.Its
In, the acoustic information of extraction is compared identification by voiceprint identification module 2 with the user profile for prestoring, and comparative result is sent
To controller 1；General, acoustic information can be the features such as audio, tone color, and the user profile for prestoring can be stored into controller 1.
With the finger print information of the user for prestoring be compared the finger print information of extraction by fingerprint identification module 3, and comparative result is sent
To controller 1, fingerprint identification module 3 can be specially Fingerprint Identification Unit, and it specifically refer to existing with the annexation of controller 1
Technology, will not be repeated here.
The iris information of extraction and the iris information for prestoring are compared identification by iris recognition module 4, and will compare knot
Fruit sends the ratio sent according to voiceprint identification module 2, fingerprint identification module 3 and iris recognition module 4 to controller 1, controller 1
Relatively result carries out corresponding control operation, such as unlatching of control system, or corresponding device work in control system to intelligence system
Make.Specifically, controller 1 can be the equipment such as PC, chip, as long as identical technique effect can be reached, to specific
Way of realization be not construed as limiting.
Specifically, iris recognition module 4 includes：
The iris image processing unit of information processing is carried out for the iris information to user；
Feature extraction unit for iris information to be carried out feature extraction；
Characteristic matching unit for the characteristic information after extraction and default iris information to be carried out codes match, iris
Graphics processing unit, feature extraction unit and characteristic matching unit communicate connection successively.
The iris information of user of the iris image processing unit to extracting carries out information processing, can such as carry out iris information
Pixel amplification etc., and the iris information after treatment is sent to feature extraction unit, feature extraction unit is carried out to iris information
Feature extraction, the feature of extraction is preset, and by the characteristic information after extraction and the characteristic information of default iris information
Carry out codes match.The characteristic information of the iris such as feature such as concave point, ray, wrinkle and striped.In other embodiments, it is also possible to
Need voluntarily to carry out the setting of iris feature according to actual production.Iris image processing unit, feature extraction unit and feature
Matching unit can be sequentially connected by connection so that signal is in iris image processing unit, feature extraction unit and feature
With being transmitted successively between unit, to drive next unit to work.
Further, iris recognition module 4 also includes：
The pupil image processing unit that the pupil information of the user for being extracted to feature extraction unit is processed, feature
Extraction unit and the communication connection of pupil image processing unit.
Feature extraction unit and the communication connection of through hole graphics processing unit, feature extraction unit extract the pupil information of user
And transmission is processed to pupil image processing unit, image amplification or adjustment definition are such as carried out, it is new in this practicality
In the protection domain of type.
Further, characteristic matching unit is connected with the communication of pupil image processing unit and is used to pupil information and prestores
Pupil information carry out codes match.
In order to improve the security of smart machine, pupil information can be identified, according to default in tranquil or pleasure
Pupil information under state used as reference information, extract by iris information and pupil information to user, and the pupil to extracting
Hole information and iris information carry out coding versus with the match information for prestoring, and determine whether the pupil under tranquil or pleasure state
Hole, only can accordingly be operated in the case where the two all meets to intelligence system.So illegally divided in user
In the case of son is seized on both sides by the arms or threatened, can effectively ensure that the vital interests of user are not compromised, improve the security of intelligence system.
Specifically, voiceprint identification module 2 includes：
Voice signal extraction unit for carrying out signal extraction to voice messaging；
For the voice recognition unit being identified to voice messaging；
Similarity measurement unit for carrying out similarity detection to voice messaging, voice signal extraction unit, voice are known
Other unit and similarity measurement unit communicate connection successively.
Further, characteristic matching unit be connected with voice recognition unit and similarity measurement unit communications respectively for
The sound characteristic information that voice recognition unit and similarity measurement unit are recognized is encoded with default sound characteristic information
Compare.
On the basis of above-described embodiment, in order to further increase the security of system, voiceprint identification module 2 includes voice
Signal extraction unit, voice recognition unit and similarity measurement unit.Wherein, voice signal extraction unit is carried out to voice messaging
Signal extraction, and the voice messaging of extraction is sent to voice recognition unit carry out speech recognition, judge whether to belong to same
Voice messaging after identification is sent to similarity measurement unit and carries out similarity detection by the voice of people, voice recognition unit, and
The voice messaging for prestoring is analyzed and compares, and comparative result is sent into controller 1, it is to be understood that voice signal is carried
Take unit, voice recognition unit and similarity measurement phrase and communicate drive of the connection in order to signal transmission and next unit successively
It is dynamic.
Preferably, sound characteristic identification can be set in characteristic matching unit and voice recognition unit, and such as sound is in 50-80
Decibel is the sound characteristic for meeting condition, then be unacknowledged sound characteristic in the sound more than or less than above-mentioned decibel,
So when user is persecuted or is seized on both sides by the arms, then can effectively anti-locking system invaded by lawless person.Voice recognition unit is recognized
The sound characteristic information of acquisition simultaneously sends to characteristic matching unit and carries out characteristic matching, equal in voice messaging and sound characteristic information
In the case of satisfaction, system can accordingly be operated, be improved the safety coefficient of system.
Based on the intelligence system based on living things feature recognition provided in above-described embodiment, the utility model additionally provides one
Mobile device is planted, the mobile device includes any one intelligence system based on living things feature recognition in above-described embodiment, due to
The mobile device employs the intelligence system based on living things feature recognition in above-described embodiment, the mobile device it is beneficial
Effect refer to above-described embodiment.
Each embodiment is described by the way of progressive in specification, and what each embodiment was stressed is and other realities
Apply the difference of example, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment
Speech, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part illustration
.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example according to function in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can realize described function to each specific application using distinct methods, but this realization should not
Think beyond scope of the present utility model.
The step of method or algorithm for being described with reference to the embodiments described herein, directly can be held with hardware, processor
Capable software module, or the two combination is implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In field in known any other form of storage medium.
The intelligence system based on living things feature recognition provided by the utility model and mobile device have been carried out in detail above
It is thin to introduce.Specific case used herein is set forth to principle of the present utility model and implementation method, above example
Explanation be only intended to help and understand method of the present utility model and its core concept.It should be pointed out that for the art
For those of ordinary skill, on the premise of the utility model principle is not departed from, some changing can also be carried out to the utility model
Enter and modify, these are improved and modification is also fallen into the utility model scope of the claims.
Claims (7)
1. a kind of intelligence system based on living things feature recognition, it is characterised in that logical with the controller respectively including controller
Interrogate voiceprint identification module, fingerprint identification module and the iris recognition module of connection, the voiceprint identification module, the fingerprint recognition
Module and the iris recognition module are respectively by the acoustic information of extraction, finger print information and iris information and the user profile for prestoring
Identification is compared, the controller is according to the voiceprint identification module, the fingerprint identification module and the iris recognition mould
The comparative result that block sends carries out corresponding control operation to the intelligence system.
2. the intelligence system based on living things feature recognition according to claim 1, it is characterised in that the iris recognition mould
Block includes：
The iris image processing unit of information processing is carried out for the iris information to user；
Feature extraction unit for the iris information to be carried out feature extraction；
Characteristic matching unit for the characteristic information after extraction and the iris information for prestoring to be carried out codes match, the iris
Graphics processing unit, the feature extraction unit and the characteristic matching unit communicate connection successively.
3. the intelligence system based on living things feature recognition according to claim 2, it is characterised in that the iris recognition mould
Block also includes：
The pupil image processing unit that the pupil information of the user for being extracted to the feature extraction unit is processed, it is described
Feature extraction unit and pupil image processing unit communication connection.
4. the intelligence system based on living things feature recognition according to claim 3, it is characterised in that the characteristic matching list
First connection with pupil image processing unit communication is used to carry out the pupil information and the pupil information for prestoring coding
Match somebody with somebody.
5. the intelligence system based on living things feature recognition according to claim 4, it is characterised in that the Application on Voiceprint Recognition mould
Block includes：
Voice signal extraction unit for carrying out signal extraction to voice messaging；
For the voice recognition unit being identified to the voice messaging；
Similarity measurement unit for carrying out similarity detection to the voice messaging, the voice signal extraction unit, institute
State voice recognition unit and the similarity measurement unit communicates connection successively.
6. the intelligence system based on living things feature recognition according to claim 5, it is characterised in that the characteristic matching list
Unit is connected with the voice recognition unit and the similarity measurement unit communications respectively, for by the voice recognition unit
Sound characteristic information and the default sound characteristic information recognized with the similarity measurement unit carry out encoding ratio compared with.
7. a kind of mobile device, it is characterised in that including described in the claims any one of 1-6 based on living things feature recognition
Intelligence system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621247540.0U CN206209795U (en) | 2016-11-16 | 2016-11-16 | A kind of intelligence system and mobile device based on living things feature recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621247540.0U CN206209795U (en) | 2016-11-16 | 2016-11-16 | A kind of intelligence system and mobile device based on living things feature recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN206209795U true CN206209795U (en) | 2017-05-31 |
Family
ID=58750699
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201621247540.0U Active CN206209795U (en) | 2016-11-16 | 2016-11-16 | A kind of intelligence system and mobile device based on living things feature recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN206209795U (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717167A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110712621A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717155A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717355A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717353A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717166A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717165A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110712620A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
-
2016
- 2016-11-16 CN CN201621247540.0U patent/CN206209795U/en active Active
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717167A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110712621A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717155A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717355A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717353A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717166A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110717165A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
| CN110712620A (en) * | 2018-07-11 | 2020-01-21 | 深圳市阿丹能量信息技术有限公司 | Vehicle-mounted identity recognition method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN206209795U (en) | A kind of intelligence system and mobile device based on living things feature recognition | |
| CN106599866B (en) | Multi-dimensional user identity identification method | |
| CN108962237A (en) | Mixing voice recognition methods, device and computer readable storage medium | |
| WO2019210796A1 (en) | Speech recognition method and apparatus, storage medium, and electronic device | |
| CN103106717A (en) | Intelligent warehouse voice control doorkeeper system based on voiceprint recognition and identity authentication method thereof | |
| CN101483652A (en) | Living creature characteristic recognition system | |
| CN102254559A (en) | Identity authentication system and method based on vocal print | |
| CN104835223A (en) | Entrance guard system based on voice recognition, facial recognition and fingerprint recognition | |
| CN103390305B (en) | Text prompt type sound-groove gate inhibition system | |
| US11380131B2 (en) | Method and device for face recognition, storage medium, and electronic device | |
| CN106411952B (en) | One kind is every lost motion state gesture user identity identifying method and device | |
| CN110765924B (en) | Living body detection method, living body detection device and computer readable storage medium | |
| CN106782569A (en) | A kind of augmented reality method and device based on voiceprint registration | |
| CN110287918A (en) | Vivo identification method and Related product | |
| CN104809783A (en) | Security access control system | |
| CN109272991A (en) | Method, apparatus, equipment and the computer readable storage medium of interactive voice | |
| CN107610284A (en) | A kind of gesture identification method, device and intelligent peephole | |
| CN107526994A (en) | A kind of information processing method, device and mobile terminal | |
| CN108320746B (en) | Intelligent home system | |
| CN104835222A (en) | Entrance guard control method based on voice recognition, facial recognition and fingerprint recognition | |
| CN205680160U (en) | A kind of Intelligent door lock control system | |
| CN111968643A (en) | Intelligent recognition method, robot and computer readable storage medium | |
| CN115482157A (en) | Image processing method and device and computer equipment | |
| Vitabile et al. | A real-time network architecture for biometric data delivery in Ambient Intelligence | |
| CN111898464A (en) | Face recognition method based on 5G network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |