CN206162536U - Biometric feature recognition device - Google Patents
Biometric feature recognition device Download PDFInfo
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- CN206162536U CN206162536U CN201620566460.5U CN201620566460U CN206162536U CN 206162536 U CN206162536 U CN 206162536U CN 201620566460 U CN201620566460 U CN 201620566460U CN 206162536 U CN206162536 U CN 206162536U
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Abstract
The utility model provides a biometric feature recognition device, includes: the sensor for sensing biometric information, a signal processing chi, signal processing chip is connected with the sensor for acquire biometric information, carry out image preprocessing and feature extraction to the biometric information who acquires, in order to obtain the biological characteristics data from the sensor, and security chip, security chip links to each other with signal processing chip for storage biological feature template compares the biological characteristics data of signal processing chip acquisition and the biological feature template of storage, in order to confirm biological characteristics discernment result. Compare in traditional logical isolation the security that has improved biometric feature recognition.
Description
Technical field
The utility model is related to biometrics identification technology field, more particularly, to biometric devices.
Background technology
The biological characteristic of fingerprint, iris and face etc is due to spies such as uniqueness, privacy, unalterable features
Property, differentiate that field is progressively widely used in identity.In traditional biological feature recognition scheme, the biometric templates of storage contain
A large amount of biological characteristic raw informations, or even some templates are exactly biometric image, once biometric templates are lost or stolen
Take, invader can be directly with the information included in biometric templates by checking, can be with the database of different application
Between carry out cross validation, such as can invade its corresponding finger print identifying with the fingerprint template information stolen in fingerprint entrance guard system
Private Banking's account.What is had even can produce correspondence biometric sample from the direct puppet of biometric templates, such as can be from
Details in fingerprint point template forges out correspondence fingerprint.Simultaneously as biological characteristic has unalterable feature, once raw information is let out
Dew, the harm for causing would is that permanent and popularity.Therefore, in living things feature recognition biometric templates safeguard protection
In critical positions.
Generally adopted using the computing device of iOS and such as smart mobile phone, panel computer etc of android system at present
Trust Zone safe practices (or Secure Enclave), system environments is logically separated into place of safety and non-security by it
Area, carries out the registration and identification operation of biological characteristic in place of safety.But because the division of place of safety and non-security district is pure
Pure logical partitioning, the information relevant with biological characteristic is easily stolen in transmission, storage and when calculating, living things feature recognition
General safety intensity is not enough.
Utility model content
Embodiment of the present utility model provides biometric devices, for improving the safety of living things feature recognition
Property.
One side of the present utility model provides a kind of biometric devices, including：Sensor, for sensing biology
Characteristic information；Signal processing chip, the signal processing chip is connected with sensor, for obtaining biological characteristic letter from sensor
Breath, the biological information to obtaining carry out Image semantic classification and feature extraction, to obtain biological attribute data；And safe core
Piece, the safety chip is connected with signal processing chip, for storing biometric templates, the life that signal processing chip is obtained
Thing characteristic with storage biometric templates compared with, to determine living things feature recognition result.
In certain embodiments, the signal processing chip includes：Image capture module, described image acquisition module and biography
Sensor is connected, for obtaining biological information from sensor；Image pre-processing module, described image pretreatment module and image
Acquisition module is connected, for being pre-processed the ash to obtain biological characteristic to the biological information that image capture module is obtained
Degree figure；And characteristic extracting module, the characteristic extracting module is connected with image pre-processing module, for from Image semantic classification mould
The characteristic point of biological characteristic is extracted in the gray-scale map that block is obtained to obtain the biological characteristic number relevant with the characteristic point of biological characteristic
According to.
In certain embodiments, the safety chip includes：Memory module, the memory module and signal processing chip phase
Even, for storing biometric templates, the biometric templates are by sensing in registration phase by signal processing chip
The biological information that device is sensed is obtained, Image semantic classification and feature extraction and generate；And feature comparing module,
The feature comparing module is connected with signal processing chip and memory module, for the biological characteristic for obtaining signal processing chip
Data with memory module store biometric templates compared with, if biological attribute data and biometric templates phase
Match somebody with somebody, it is determined that living things feature recognition result is to pass through, otherwise determine living things feature recognition result not pass through.
In certain embodiments, the safety chip also includes：Signature blocks, for carrying out to living things feature recognition result
Digital signature.
In certain embodiments, the signal processing chip be micro controller unit (Microcontroller Unit,
MCU), the safety chip is safety element (Secure Element, SE).
In certain embodiments, the biometric devices are arranged in computing device, and the signal transacting
The system environments physical isolation of chip and the safety chip and the computing device.
In certain embodiments, the computing device is divided into place of safety and non-security district, and the biological characteristic is known
Other device transmits living things feature recognition result by place of safety or non-security district to the computing device.
In certain embodiments, the biological characteristic includes fingerprint, and the biological information includes that the image of fingerprint is believed
Breath, the biological attribute data includes the characteristic point data of fingerprint, and the biometric templates include fingerprint characteristic template.
Description of the drawings
In order to be illustrated more clearly that the technical scheme of the utility model embodiment, will make simple to the accompanying drawing of embodiment below
Introduce, it should be apparent that, the accompanying drawing in explained below only relates to some embodiments of the present utility model, rather than new to this practicality
The restriction of type.
Fig. 1 shows the block diagram of the biometric devices according to embodiment of the present utility model.
Fig. 2 shows the block diagram of the biometric devices according to embodiment of the present utility model.
Specific embodiment
It is new below in conjunction with this practicality to make purpose, technical scheme and the advantage of the utility model embodiment clearer
The accompanying drawing of type embodiment, to the technical scheme of the utility model embodiment clear, complete description is carried out.Obviously the reality described by
It is a part of embodiment of the present utility model to apply example, rather than the embodiment of whole.Based on described reality of the present utility model
Example is applied, the every other embodiment that those of ordinary skill in the art are obtained on the premise of without the need for creative work is belonged to
The scope of the utility model protection.
Fig. 1 shows the block diagram of the biometric devices 100 according to embodiment of the present utility model.As shown in figure 1,
Biometric devices 100 include sensor 110, signal processing chip 120 and safety chip 130.Sensor 110 is used to feel
Survey biological information.Signal processing chip 120 is connected with sensor 110, for from sensor obtain biological information,
Biological information to obtaining carries out Image semantic classification and feature extraction, to obtain biological attribute data.Safety chip 130 with
Signal processing chip 120 is connected, for storing biometric templates, the biological attribute data that signal processing chip 120 is obtained
Compared with the biometric templates of storage, to determine living things feature recognition result.
In certain embodiments, signal processing chip 120 can include：Image capture module, described image acquisition module
It is connected with sensor 110, for obtaining biological information from sensor 110；Image pre-processing module, described image pretreatment
Module is connected with image capture module, for being pre-processed to obtain life to the biological information that image capture module is obtained
The gray-scale map of thing feature；And characteristic extracting module, the characteristic extracting module is connected with described image pretreatment module, is used for
The characteristic point of biological characteristic is extracted in the gray-scale map obtained from image pre-processing module to be had to obtain with the characteristic point of biological characteristic
The biological attribute data of pass.
In certain embodiments, safety chip 130 can include：Memory module, the memory module and signal transacting core
Piece is connected, and for storing biometric templates, the biometric templates are passed through by signal processing chip 120 in registration phase
The biological information that sensor 110 is sensed is obtained, Image semantic classification and feature extraction and generate；And feature
Comparing module, the feature comparing module is connected with signal processing chip 120 and memory module, for by signal processing chip
120 obtain biological attribute datas with memory module store biometric templates compared with, if biological attribute data and
Biometric templates match, it is determined that living things feature recognition result is to pass through, and otherwise determine living things feature recognition result for not
Pass through.
In certain embodiments, safety chip 130 can also include：Signature blocks, the signature blocks and aspect ratio pair
Module is connected, for being digitally signed to living things feature recognition result.
In certain embodiments, signal processing chip 120 can be MCU, and safety chip 130 can be SE.
In certain embodiments, biometric devices 100 may be mounted in computing device, and signal transacting core
The system environments physical isolation of piece 120 and safety chip 130 and the computing device.
In certain embodiments, computing device can be divided into place of safety and non-security district, and living things feature recognition is filled
Putting 100 can transmit living things feature recognition result by place of safety or non-security district to the computing device.
In certain embodiments, biological characteristic can include fingerprint, and biological information can include that the image of fingerprint is believed
Breath, biological attribute data can include the characteristic point data of fingerprint, and biometric templates can include fingerprint characteristic template.
Fig. 2 shows the block diagram of the biometric devices 200 according to embodiment of the present utility model.The utility model
Embodiment go for the identification of one or more biological characteristic, the example of biological characteristic includes but is not limited to texture (bag
Include fingerprint, palmmprint, vein and associated satellite feature, such as pore), biomembrane (such as iris, retina), face, duct, language
Sound, the bodily form, personal habits (for example tapping the dynamics and frequency, signature, gait of keyboard) etc..In the present embodiment, biological characteristic
May, for example, be fingerprint.
As shown in Fig. 2 biometric devices 200 include sensor 210, signal processing chip 220 and safety chip
230.In certain embodiments, biometric devices 200 may be mounted at the meter of such as smart mobile phone, panel computer etc
In calculation equipment, signal processing chip 220 and safety chip 230 are single physical hardware, the system with the computing device
Environmental physicses are isolated.
Sensor 210 is used to sense biological information.Biological information can be included with such as texture (including finger
Line, palmmprint, vein and associated satellite feature, such as pore), biomembrane (such as iris, retina), face, duct, voice,
The relevant letter of one or more biological characteristics such as the bodily form, personal habits (for example tapping the dynamics and frequency, signature, gait of keyboard)
Breath.For example for fingerprint recognition, the biological information can include the image information of fingerprint.In enforcement of the present utility model
In example, sensor 210 can be optical pickocff, semiconductor transducer, ultrasonic sensor, radio frequency identification sensor or can be with
Any sensor of sensing biological information.
Signal processing chip 220 can include image capture module 2201, image pre-processing module 2202 and feature extraction
Module 2203.In certain embodiments, signal processing chip 220 can be MCU.
Image capture module 2201 is connected with sensor 210, for obtaining biological information from sensor sense 210.Example
Such as, for fingerprint, image capture module 2201 can be according to slide collection mode or pressing acquisition mode one or many from biography
Sensor sense 210 obtains the image information of fingerprint.
Image pre-processing module 2202 and image capture module 2201, for the biology obtained to image capture module 2201
Characteristic information is pre-processed to obtain the gray-scale map of biological characteristic.For example, for fingerprint image, pretreatment can be included for example
Image normalization, fingerprint effective coverage dividing processing, fingerprint orientation process, fingerprint enhancing process, fingerprint binary conversion treatment and
Fingerprint thinning process etc..
Characteristic extracting module 2203 is connected with image pre-processing module 2202, for obtaining from image pre-processing module 2202
Gray-scale map in extract the characteristic point of biological characteristic obtaining the biological attribute data relevant with the characteristic point of biological characteristic.Example
Such as, biological attribute data can include the characteristic point data of fingerprint.
Safety chip 230 can include memory module 2301, feature comparing module 2302 and signature blocks 2303.At some
In embodiment, safety chip 130 can be SE.
Memory module 2301 is connected with characteristic extracting module 2203, for storing the biology of such as fingerprint characteristic template etc
Feature templates.Biometric templates be registration phase by signal processing chip 220 image capture module 2201, image in advance
Reason module 2202 and characteristic extracting module 2203 by being obtained respectively to the biological information that sensor 210 is sensed,
Image semantic classification and feature extraction and generate.In embodiment of the present utility model, memory module 2301 can be non-volatile
Property memory, such as flash memory Flash, EEPROM EEPROM, EPROM
EPROM, programmable read only memory PROM or others can continue the magnetic of retention data, electric storage medium under powering-off state.
Feature comparing module 2302 is connected with characteristic extracting module 2203 and memory module 2301, for by feature extraction mould
Block 2203 obtain biological attribute data with memory module 2301 storage biometric templates compared with, if biological characteristic
Data match with biometric templates, it is determined that living things feature recognition result is to pass through, and otherwise determine living things feature recognition knot
Fruit is not pass through.
Signature blocks 2303 are connected with feature comparing module 2302, for carrying out digital label to living things feature recognition result
Name.For example, signature blocks 2303 can be used for after biometric templates succeed in registration generating key pair, and private key is stored in into peace
In full chip, public key is sent to outside application server, and after identification biological characteristic, using private key to biological special
Levy recognition result to be digitally signed.The application server after the living things feature recognition result that this has signed is received,
Can verify whether the living things feature recognition result that this has signed is legal using the public key.Open answering can so be prevented
The living things feature recognition result of safety chip output is distorted with the wooden horse or virus in environment so that not by the row of fingerprint authentication
Pass through to be authorized to.
In certain embodiments, biometric devices 100 may be mounted at and be divided into place of safety and non-security district
In computing device, and living things feature recognition result is transmitted to the computing device by place of safety or non-security district.For example, it is biological
Specific identification device 100 may be mounted at using the such as intelligent hand of Trust Zone safe practices (or Secure Enclave)
In the computing device of machine, panel computer etc, and by processor security area or non-security district and computing device communication.As showing
Example, biometric devices 100 can perform living things feature recognition (for example, fingerprint according to the instruction that computing device sends
Identification) and the place of safety by computing device or non-security district living things feature recognition result (unsigned or signed) is sent out
Deliver to computing device.
In embodiment of the present utility model, whole living things feature recognition process is independently of such as smart mobile phone or flat board electricity
The system environments of the computing device of brain etc and carry out, it is to avoid be transmitted in open system environment, store and calculate.
Specifically, signal processing chip and the system environments physical isolation of computing device, can prevent from registering and recognizing the network of link
Attack；And safety chip also with the system environments physical isolation of computing device, the biological characteristic mould being stored therein can be protected
Plate does not receive network attack, and it has stronger security protection ability, can cause biometric templates data in storage and calculate
Link exempts from physical attacks and non-intrusion type is attacked.It can be seen that, compared to traditional logic isolation, embodiment of the present utility model is big
The security that living things feature recognition is particularly fingerprint recognition is improve greatly.
In embodiment of the present utility model, on the one hand, IMAQ, Image semantic classification and feature extraction these amounts of calculation
Big operation is performed in signal processing chip, can improve treatment effeciency, reduces the operational capability to safety chip and storage
The requirement of ability, implementation is flexible；On the other hand, biometric templates storage and aspect ratio are to these and biometric templates
The relevant operation of security perform in safety chip, it is ensured that biometric templates all the time with open hosted environment physics
Isolation, in the environment of high safety.It can be seen that, compared to traditional living things feature recognition, embodiment of the present utility model is not
Only there is higher security, while also having higher treatment effeciency and more flexible implementation.
The biometric devices of the utility model embodiment may be mounted in various computing devices, for example with
Smart mobile phone or panel computer of Trust Zone safe practices (or Secure Enclave) etc..Because biometric templates are deposited
Storage and aspect ratio are performed to these operations relevant with the security of biometric templates in safety chip, biometric templates
All the time with open hosted environment physical isolation, therefore the living things feature recognition result that safety chip is provided can be in computing device
Non-security district in transmit, naturally it is also possible to transmit further to improve security in place of safety.The utility model embodiment
Biometric devices can also be arranged on and the computing device of unallocated place of safety and non-security district in.It can be seen that, this reality
It is applied to the computing device such as various existing smart mobile phones or panel computer with new embodiment, with higher compatibility.
The above is only exemplary embodiment of the present utility model, not for restriction protection model of the present utility model
Enclose, protection domain of the present utility model is determined by appended claim.
Claims (4)
1. a kind of biometric devices, it is characterised in that include：
Sensor, for sensing biological information；
Signal processing chip, the signal processing chip is connected with sensor, for from sensor obtain biological information,
Biological information to obtaining carries out Image semantic classification and feature extraction, to obtain biological attribute data；And
Safety chip, the safety chip is connected with signal processing chip, for storing biometric templates, by signal transacting core
Piece obtain biological attribute data with store biometric templates compared with, to determine living things feature recognition result.
2. biometric devices according to claim 1, it is characterised in that the safety chip includes：
Memory, the memory is connected with signal processing chip, for storing biometric templates, the biometric templates
Be registration phase by signal processing chip by being obtained to the biological information that sensor is sensed, Image semantic classification
Generate with feature extraction；And
Treatment element, the treatment element is connected with signal processing chip and memory, for obtain signal processing chip
Biological attribute data with memory store biometric templates compared with, if biological attribute data and biometric templates
Match, it is determined that living things feature recognition result is to pass through, otherwise determine living things feature recognition result not pass through.
3. biometric devices according to claim 1, it is characterised in that the signal processing chip is microcontroller
Device unit MCU, the safety chip is safety element SE.
4. biometric devices according to claim 1, it is characterised in that the biometric devices are installed
In computing device, and the system environments physics of the signal processing chip and the safety chip and the computing device every
From.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620566460.5U CN206162536U (en) | 2016-06-12 | 2016-06-12 | Biometric feature recognition device |
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| CN201620566460.5U CN206162536U (en) | 2016-06-12 | 2016-06-12 | Biometric feature recognition device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017215533A1 (en) * | 2016-06-12 | 2017-12-21 | 北京集创北方科技股份有限公司 | Biological characteristic recognition device and method and biological characteristic template registration method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017215533A1 (en) * | 2016-06-12 | 2017-12-21 | 北京集创北方科技股份有限公司 | Biological characteristic recognition device and method and biological characteristic template registration method |
| US10963715B2 (en) | 2016-06-12 | 2021-03-30 | Chipone Technology (Beijing) Co., Ltd | Device and method for biometric recognition and method for registering biometric template |
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Effective date of registration: 20220301 Address after: 100176 building 56, 2 Jingyuan North Street, Beijing Economic and Technological Development Zone, Daxing District, Beijing Patentee after: CHIPONE TECHNOLOGY (BEIJING) Co.,Ltd. Address before: 100176 56, Jingyuan North Street, Daxing District economic and Technological Development Zone, Beijing, 56 Patentee before: CHIPONE TECHNOLOGY (BEIJING) Co.,Ltd. Patentee before: Beijing Jichuang North System Technology Co., Ltd |