CN106156568A - A kind of biometric information identification module and electronic equipment - Google Patents
A kind of biometric information identification module and electronic equipment Download PDFInfo
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Abstract
The invention discloses a kind of biometric information identification module and electronic equipment, described biometric information identification module includes: memory element, is used for storing at least one biological attribute data and at least one Image Processing parameter；Graphics processing unit, for carrying out image procossing based at least one Image Processing parameter described to the biometric image to be identified of a bio information to be identified, it is thus achieved that at least one to be identified biological attribute data corresponding with described biometric image to be identified；Bio information recognition unit, for based at least one biological attribute data described and at least one biological attribute data to be identified described, described bio information to be identified is identified, obtain the first recognition result, and described first recognition result is sent to described processor, so that described processor can generate based on shown first recognition result and perform control instruction.
Description
Technical field
The present invention relates to electronic technology field, particularly to a kind of biometric information identification module and electronic equipment.
Background technology
Along with the development of science and technology, electronic equipment have also been obtained development at full speed, becomes people's day
The often necessary of life.In order to ensure the information security of user, bio information identification, such as fingerprint recognition, people
Face identification etc., are widely used in electronic equipment.
In the prior art, when electronic equipment is when needs are by biological characteristic validation user profile, the most logical
Cross sensor and the biometric image of user to be verified detected, then by the biological characteristic figure of user to be verified
As sending to the CPU of electronic equipment, CPU, by different recognition modes, calculates multiple address information
And generate multiple jump instruction, from the memory element of electronic equipment, obtain corresponding processing parameter, to acquisition
The biometric image of user to be verified carry out Gabor filtering, relatedness computation, spectrum alignment operation and logical
Manage with calculating etc., thus obtain recognition result.
Present inventor during technical scheme, finds that prior art is deposited in realizing the embodiment of the present application
In following technical problem:
Due in prior art when electronic equipment needs to carry out living things feature recognition, due to electronic equipment
CPU need biometric image to be identified is carried out Gabor filtering, relatedness computation, spectrum alignment operation and
General-purpose computations etc. process, and so, the operand of the CPU of electronic equipment will become big, and then the power consumption of CPU
Also can increase, so, electronic equipment of the prior art existence carries out CPU power consumption during living things feature recognition
Big technical problem.
Summary of the invention
The embodiment of the present application provides a kind of biometric information identification module and electronic equipment, is used for solving prior art
In electronic equipment exist carry out the technical problem that during living things feature recognition, CPU power consumption is big, it is achieved reduce CPU
The technique effect of power consumption.
On the one hand the embodiment of the present application provides a kind of biometric information identification module, in being applied to an electronic equipment
Time, described biometric information identification module is by the system bus in described electronic equipment and described electronic equipment
Processor be attached, described biometric information identification module includes:
Memory element, is used for storing at least one biological attribute data and at least one Image Processing parameter；
Graphics processing unit, is used for based at least one Image Processing parameter described a bio information to be identified
Biometric image to be identified carry out image procossing, it is thus achieved that corresponding with described biometric image to be identified
At least one biological attribute data to be identified；
Bio information recognition unit, for based at least one biological attribute data described and described at least one
Biological attribute data to be identified, is identified described bio information to be identified, it is thus achieved that the first recognition result,
And send described first recognition result to described processor, so that described processor can be based on shown the
One recognition result generates and performs control instruction.
Optionally, when described bio information is specially fingerprint, described memory element specifically includes:
First memory element, is connected with described graphics processing unit, is used for storing at least one image described
Reason parameter and at least one fingerprint characteristic data to be identified；
Second memory element, is connected with described bio information recognition unit, is used for storing at least one fingerprint special
Levy data.
Optionally, described graphics processing unit specifically includes:
Gabor filtration module, for based at least one Image Processing parameter described, to fingerprint image to be identified
As carrying out Gabor Filtering Processing, export the first edge feature data of described fingerprint image to be identified；
Spectrum alignment module, for translating described first edge feature data, rotation processing, at output
Reason back edge characteristic；
Common calculation module, for described process back edge characteristic being carried out calculation process, output and institute
State at least one fingerprint characteristic data to be identified described that fingerprint image to be identified is corresponding.
Optionally, described bio information recognition unit specifically for:
At least one fingerprint characteristic data described is obtained from described second memory element；
Judge at least one fingerprint characteristic to be identified described in described graphics processing unit sends received
Whether data match with at least one fingerprint characteristic data described, it is thus achieved that the first judged result；
Based on described first judged result, it is thus achieved that described first recognition result.
Optionally, described Gabor filtration module specially comprise two inputs, Gabor filtering chip and
The module of one outfan, wherein, described Gabor filtration module by said two input from described the
Obtaining at least one Image Processing parameter described in one memory element, described Gabor filtering chip is based on described
At least one Image Processing parameter carries out Gabor Filtering Processing to described fingerprint image to be identified, it is thus achieved that with institute
State the edge feature data that fingerprint image to be identified is corresponding, and by described outfan by described edge feature number
According to feeding back to described first memory element.
Optionally, described common calculation module specially comprises two inputs, computing chip and an output
End module, wherein, described by computing module by said two input from described first memory element
Middle acquisition described process back edge characteristic, described computing chip with pixel for arithmetic unit to described place
Edge feature data after reason carry out computing, it is thus achieved that corresponding at least with the edge feature data after described process
One fingerprint characteristic data to be identified, and by described outfan by least one fingerprint characteristic to be identified described
Data feedback is to described first memory element.
On the other hand the embodiment of the present application provides a kind of electronic equipment, including:
System bus；
Processor, is connected with described system bus, is used for generating and performing control instruction；
Biometric information identification module, is connected with described processor by described system bus, wherein, and described life
Thing information identification module, for being identified the biometric image to be identified of a bio information to be identified, obtains
Obtain the first recognition result, and by described system bus, described first recognition result is sent to described process
Device, so that described processor can generate based on shown first recognition result and perform control instruction.
On the other hand the embodiment of the present application provides a kind of information processing method, is applied in an electronic equipment, institute
The method of stating includes:
Graphics processing unit in described electronic equipment is based at least one image stored in the memory unit
Processing parameter carries out image procossing to the biometric image to be identified of a bio information to be identified, it is thus achieved that with institute
State at least one biological attribute data to be identified that biometric image to be identified is corresponding；
Bio information recognition unit in described electronic equipment is based on being stored in described memory element at least
One biological attribute data and at least one biological attribute data to be identified described, to described biological letter to be identified
Breath is identified, it is thus achieved that the first recognition result, and by described first recognition result by described electronic equipment
In system bus send to the processor in described electronic equipment, so that described processor can be based on described
First recognition result generates and performs control instruction.
Optionally, when described bio information to be identified is specially fingerprint, at the image in described electronic equipment
Manage unit based at least one Image Processing parameter stored in the memory unit to a bio information to be identified
Biometric image to be identified carry out image procossing, it is thus achieved that corresponding with described biometric image to be identified
At least one biological attribute data to be identified, specifically includes:
At least one Image Processing parameter is obtained from the first memory element；
Based at least one Image Processing parameter described, fingerprint image to be identified is carried out Gabor Filtering Processing,
Obtain the first edge feature data of described fingerprint image to be identified；
Described first edge feature data are translated, rotation processing, it is thus achieved that the edge feature number after process
According to；
Edge feature data after processing are carried out calculation process, it is thus achieved that corresponding with described fingerprint image to be identified
At least one fingerprint characteristic data to be identified.
Optionally, the bio information recognition unit in described electronic equipment is based on being stored in described memory element
At least one biological attribute data and at least one biological attribute data to be identified described, to described to be identified
Bio information is identified, it is thus achieved that the first recognition result, specifically includes:
At least one fingerprint characteristic data is obtained from the second memory element；
Judge at least one fingerprint characteristic data to be identified described whether with at least one fingerprint characteristic number described
According to matching, it is thus achieved that the first judged result；
Based on described first judged result, it is thus achieved that described first recognition result.
Said one in the embodiment of the present application or multiple technical scheme, at least have one or more skills following
Art effect:
One, due to the technical scheme in the embodiment of the present application, use memory element, be used for storing at least one
Biological attribute data and at least one Image Processing parameter；Graphics processing unit, for based on described at least
One Image Processing parameter carries out image procossing to the biometric image to be identified of a bio information to be identified,
Obtain at least one to be identified biological attribute data corresponding with described biometric image to be identified；Biological letter
Breath recognition unit, for based at least one biological attribute data described and at least one biology to be identified described
Characteristic, is identified described bio information to be identified, it is thus achieved that the first recognition result, and by described
First recognition result sends to described processor, so that described processor can be based on shown first recognition result
Generate and perform the technological means of control instruction, so, when electronic equipment receives bio information to be identified
Time, directly obtain recognition result by memory element, graphics processing unit and bio information recognition unit, will
Described recognition result sends the central processing unit to electronic equipment, and then central processing unit is without to be identified
Bio information carries out computing just can directly obtain recognition result, so, efficiently solve electricity of the prior art
Subset existence carries out the technical problem that during living things feature recognition, CPU power consumption is big, it is achieved reduce CPU power consumption
Technique effect.
Two, due to the technical scheme in the embodiment of the present application, use memory element, be used for storing at least one
Biological attribute data and at least one Image Processing parameter；Graphics processing unit, for based on described at least
One Image Processing parameter carries out image procossing to the biometric image to be identified of a bio information to be identified,
Obtain at least one to be identified biological attribute data corresponding with described biometric image to be identified；Biological letter
Breath recognition unit, for based at least one biological attribute data described and at least one biology to be identified described
Characteristic, is identified described bio information to be identified, it is thus achieved that the first recognition result, and by described
First recognition result sends to described processor, so that described processor can be based on shown first recognition result
Generate and perform the technological means of control instruction, so, biometric image to be identified is being identified fortune
During calculation, eliminate needs are carried out when central processing unit is identified address computation and generation jump instruction
Deng, do not interrupt pile line operation, so, it is achieved that improve the technique effect of the speed of living things feature recognition.
Three, due to the technical scheme in the embodiment of the present application, Gabor filtration module is used, for based on institute
Stating at least one Image Processing parameter, fingerprint image to be identified carries out Gabor Filtering Processing, output is described
First edge feature data of fingerprint image to be identified；Spectrum alignment module, for described first edge feature
Data carry out translating, rotation processing, and output processes back edge characteristic；Common calculation module, for right
Described process back edge characteristic carries out calculation process, exports the institute corresponding with described fingerprint image to be identified
State the technological means of at least one fingerprint characteristic data to be identified, so, owing to common calculation module can be real
Existing multiple simple operation, and then be made up of Gabor filtration module, spectrum alignment module and common calculation module
Biometric information identification module can calculate demand according to difference, it is achieved the computing of multiple different mode, it is achieved that
The diversified technique effect of tupe.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to enforcement
In example description, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only
It is only some embodiments of the present invention.
Fig. 1 is a kind of biometric information identification module structured flowchart provided in the embodiment of the present application one；
Fig. 2 has at described bio information for a kind of biometric information identification module provided in the embodiment of the present application one
Body is concrete structure block diagram during fingerprint；
Fig. 3 has at described bio information for a kind of biometric information identification module provided in the embodiment of the present application one
The concrete structure block diagram of graphics processing unit 102 when body is fingerprint；
The structural representation of the Fig. 4 a kind of electronic equipment for providing in the embodiment of the present application two；
The flow chart of the Fig. 5 a kind of information processing method for providing in the embodiment of the present application three；
Fig. 6 is the concrete reality of step S101 in a kind of information processing method of offer in the embodiment of the present application three
Existing mode；
Fig. 7 is the concrete reality of step S102 in a kind of information processing method of offer in the embodiment of the present application three
Existing mode.
Detailed description of the invention
The embodiment of the present application provides a kind of biometric information identification module and electronic equipment, is used for solving prior art
In electronic equipment exist carry out the technical problem that during living things feature recognition, CPU power consumption is big, it is achieved reduce CPU
The technique effect of power consumption.
Technical scheme in the embodiment of the present application is to solve above-mentioned technical problem, and general thought is as follows:
A kind of biometric information identification module, when being applied in an electronic equipment, described bio information identification mould
Block is attached with the processor in described electronic equipment by the system bus in described electronic equipment, described
Biometric information identification module includes:
Memory element, is used for storing at least one biological attribute data and at least one Image Processing parameter；
Graphics processing unit, is used for based at least one Image Processing parameter described a bio information to be identified
Biometric image to be identified carry out image procossing, it is thus achieved that corresponding with described biometric image to be identified
At least one biological attribute data to be identified；
Bio information recognition unit, for based at least one biological attribute data described and described at least one
Biological attribute data to be identified, is identified described bio information to be identified, it is thus achieved that the first recognition result,
And send described first recognition result to described processor, so that described processor can be based on shown the
One recognition result generates and performs control instruction.
In technique scheme, use memory element, be used for storing at least one biological attribute data and
At least one Image Processing parameter；Graphics processing unit, for based at least one Image Processing parameter described
The biometric image to be identified of one bio information to be identified is carried out image procossing, it is thus achieved that to be identified with described
At least one biological attribute data to be identified that biometric image is corresponding；Bio information recognition unit, is used for
Based at least one biological attribute data described and at least one biological attribute data to be identified described, to described
Bio information to be identified is identified, it is thus achieved that the first recognition result, and is sent by described first recognition result
To described processor, refer to so that described processor can generate and perform control based on shown first recognition result
The technological means of order, so, when electronic equipment receives bio information to be identified, directly by storage
Unit, graphics processing unit and bio information recognition unit obtain recognition result, are sent by described recognition result
To the central processing unit of electronic equipment, and then central processing unit is without carrying out computing to bio information to be identified
Just recognition result can be directly obtained, so, efficiently solve electronic equipment of the prior art existence and give birth to
The technical problem that during thing feature identification, CPU power consumption is big, it is achieved reduce the technique effect of CPU power consumption.
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with this
Accompanying drawing in bright embodiment, is clearly and completely described technical scheme, it is clear that institute
The embodiment described is a part of embodiment of technical solution of the present invention rather than whole embodiments.Base
In the embodiment described in present specification, those of ordinary skill in the art are not making creative work
The every other embodiment obtained under premise, broadly falls into the scope of technical solution of the present invention protection.
Embodiment one
Refer to Fig. 1, a kind of biometric information identification module structured flowchart provided for the embodiment of the present application one,
When being applied in an electronic equipment, described biometric information identification module is by the system in described electronic equipment
Bus is attached with the processor in described electronic equipment, and described biometric information identification module includes:
Memory element 101, is used for storing at least one biological attribute data and at least one image procossing ginseng
Number；
Graphics processing unit 102, is used for based at least one Image Processing parameter described a biology to be identified
The biometric image to be identified of information carries out image procossing, it is thus achieved that with described biometric image pair to be identified
At least one answered biological attribute data to be identified；
Bio information recognition unit 103, for based at least one biological attribute data described and described at least
One biological attribute data to be identified, is identified described bio information to be identified, it is thus achieved that first identifies knot
Really, and by described first recognition result transmission to described processor, so that described processor can be based on institute
Show that the first recognition result generates and performs control instruction.
In the embodiment of the present application, described electronic equipment is specifically as follows notebook computer, panel computer, intelligence
Energy mobile phone etc., it is also possible to be other electronic equipments needing to identify bio information, here, the citing that just differs
?.In the embodiment of the present application, will the application is implemented as a example by described electronic equipment is as panel computer
Biometric information identification module in example is described in detail.
In specific implementation process, as a example by described electronic equipment is as panel computer, described bio information identification
Module is connected by the primary processor of the data/address bus of panel computer with panel computer, such as CPU, certainly,
It is multiple from processor, such as GPU etc., described biometric information identification module that electronic equipment can also have other
Can also be connected from processor with GPU etc..Described biometric information identification module can be specially panel computer
An interior stand-alone integrated chip.
In the embodiment of the present application, memory element 101 is two independent storage lists with the internal memory of panel computer
Unit, is mainly used in storing biological attribute data, the fingerprint characteristic number of thumb as corresponding in panel computer user
According to and the face characteristic etc. of the positive face of user, and in biometric information identification module to biological characteristic to be identified
Image, such as fingerprint image, facial image etc., carries out Image Processing parameter required during image procossing, e.g.,
When image to be identified being carried out Gabor filtering, it is desirable to have the parameter such as sampling interval, weight, these parameters
Value can produce change according to the difference of image to be identified, at this moment, can be pre-in memory element 101
Store the value set corresponding with these parameters.
As a example by described electronic equipment is as panel computer, when a user needs to open panel computer, flat board electricity
The image acquisition units of brain or fingerprint collecting unit collect the characteristic image of described user, total by system
Line, sends the characteristic image collected to graphics processing unit 102, and graphics processing unit is the most permissible
For Gabor filtration module, relatedness computation module, edge filter module etc., it is also possible to be by time loss
The core calculations procedural abstraction of some bigger Processing Algorithm extracts the specific calculations module of formation, at tool
In body implementation process, those skilled in the art can be according to the identification of different bio informations to graphics processing unit
Specifically set, be not restricted.By the process of image procossing, extract spy
Levy the biological attribute data in image, e.g., extract position and the local feature at face place in facial image
Point, extracts the lines of fingerprint in fingerprint image, central point, triangulation point, style line etc., and these are special
Levy data to send to bio information recognition unit 103.
After bio information recognition unit 103 receives the characteristic sent by graphics processing unit 102,
First bio information recognition unit obtains the biological characteristic corresponding with panel computer user from memory element 101
Data, e.g., receive position and the local feature at the human face five-sense-organ place sent by graphics processing unit 102
After Dian, then from memory element 101, extract the face characteristic data of panel computer user, and with receive
The position at human face five-sense-organ place and local feature region compare, it is judged that with storage in memory element 101
The positive face characteristic similarity of panel computer user is the highest, then that local feature region is corresponding with positive face
Characteristic point is mated, if matching degree is more than 80%, then illustrates that the i.e. panel computer of facial image collected is used
The face at family, it is thus achieved that the first recognition result is yes, then, sends described recognition result to panel computer
CPU, generates the control instruction opening computer by CPU, and user just can use panel computer.
In the embodiment of the present application, will the application is implemented as a example by described bio information is specially fingerprint
Biometric information identification module in example is described in detail.
When described bio information is specially fingerprint, refer to Fig. 2, memory element 101 specifically includes:
First memory element 111, is connected with graphics processing unit 102, is used for storing at least one figure described
As processing parameter and at least one fingerprint characteristic data to be identified；
Second memory element 112, is connected with bio information recognition unit 103, is used for storing at least one and refers to
Stricture of vagina characteristic.
In specific implementation process, memory element 101 is specifically divided into the first memory element 111 and the second storage
Unit 112.First memory element 111 is used for storing graphics processing unit 102 and carries out during image procossing required
Processing parameter, such as Gabor filtering sampling interval array, weighted value value set etc., and storage image
The fingerprint characteristic to be identified that processing unit 102 extracts after fingerprint image to be identified is carried out computing, as referred to
Stricture of vagina lines, fingerprint stricture of vagina number, central point, triangulation point and style line etc., specific features data can be according to reality
Border processing procedure is chosen, and is not restricted.Second memory element 112 is used for depositing
The fingerprint characteristic of the pre-set user of the panel computer that storage bio information recognition unit 103 is required when being identified
Data, with image procossing extract fingerprint characteristic identical, comprise fingerprint lines, fingerprint stricture of vagina number, central point,
Triangulation point and style line etc..
When described bio information is specially fingerprint, refer to Fig. 3, graphics processing unit 102 specifically includes:
Gabor filtration module 121, for based at least one Image Processing parameter described, to finger to be identified
Print image carries out Gabor Filtering Processing, exports the first edge feature data of described fingerprint image to be identified；
Spectrum alignment module 122, for described first edge feature data are translated, rotation processing, defeated
Go out to process back edge characteristic；
Common calculation module 123, for described process back edge characteristic is carried out calculation process, output
At least one fingerprint characteristic data to be identified described in corresponding with described fingerprint image to be identified.
In the embodiment of the present application, Gabor filtration module 121 specially comprises two inputs, Gabor
Filtering chip and the module of an outfan, wherein, Gabor filtration module 121 is inputted by said two
End obtains at least one Image Processing parameter described from the first memory element 111, and described Gabor filters core
Described fingerprint image to be identified is carried out at Gabor filtering by sheet based at least one Image Processing parameter described
Reason, it is thus achieved that the edge feature data corresponding with described fingerprint image to be identified, and by described outfan by institute
State edge feature data feedback to the first memory element 111.
In the embodiment of the present application, common calculation module 123 specially comprises two inputs, computing chip
And the module of an outfan, wherein, deposited from first by said two input by computing module 123
Obtaining described process back edge characteristic in storage unit 111, described computing chip is with pixel for computing list
Position carries out computing to the edge feature data after described process, it is thus achieved that with the edge feature data after described process
At least one corresponding fingerprint characteristic data to be identified, and by described outfan by described at least one wait to know
Other fingerprint characteristic data feeds back to the first memory element 111.
In specific implementation process, as a example by described electronic equipment is as panel computer, when a user wants to pass through
During unlocked by fingerprint panel computer, the first fingerprint collecting unit of panel computer can collect and be unlocked operation
The fingerprint image of user, then by the system bus of panel computer, sends described fingerprint image to Gabor
In filtration module, Gabor filtration module, by two inputs being connected with the first memory element 111, obtains
Take the sampling interval value of Gabor Filtering Processing, weighted value sends to Gabor filtering chip, and Gabor filters
Chip carries out Gabor Filtering Processing based on the sampling interval value obtained and weighted value to described fingerprint image, obtains
Obtain the edge feature data of described fingerprint image, and be stored in the first memory element 111 by described outfan
In；Then, spectrum alignment module 122 is passed through to obtain described edge feature data from the first memory element 111,
Translate described edge feature data, rotation etc. processes, it is thus achieved that corresponding with described edge feature data
Edge feature data on multiple different directions, in order to meet the demand of the big handling capacity of spectrum alignment module 122,
First memory element 111 can also be the design of big handling capacity, at utmost to optimize spectrum alignment module 122
Digital independent and calculate process；Then, common calculation module 123 passes through said two input from first
The edge feature data on multiple different directions are obtained, owing to computing chip including in memory element 111
The process of various simple operations, as added, subtracting, multiplication and division etc., can be according to different patterns, it is achieved multiple
Different calculating demands, e.g., Ridge following algorithm etc., it is not restricted.By logical
With computing module 123 will obtain multiple different directions on edge feature data carry out judging, identifying, pick
Pseudo-random numbers generation in flash trimming edge characteristic, extracts the validity feature data corresponding with described fingerprint image,
It is stored in the first memory element 111.
In the embodiment of the present application, when described bio information is specially fingerprint, bio information recognition unit 103
Specifically for:
At least one fingerprint characteristic data described is obtained from the second memory element 112；
Judge at least one the fingerprint characteristic number to be identified described in graphics processing unit 102 sends received
According to whether matching with at least one fingerprint characteristic data described, it is thus achieved that the first judged result；
Based on described first judged result, it is thus achieved that described first recognition result.
In specific implementation process, bio information recognition unit 103 can be specially microchip, such as MIPS
Processor, arm processor etc., those skilled in the art can be configured according to use demand, in this Shen
Embodiment please be restricted.As a example by described bio information recognition unit is specially MIPS processor, edge
Use above-mentioned example, after graphics processing unit 102 extracts the validity feature data of described fingerprint image, will
Described validity feature data send to MIPS processor, and then, MIPS processor is from the second memory element
The fingerprint characteristic data that pre-set user is corresponding is obtained, by Feature Points Matching algorithm or based on string distance in 112
Matching algorithm etc., the validity feature data of the described fingerprint image received are carried out matching degree calculating, when
When matching degree is higher than a threshold value set in advance, during such as matching degree higher than 80%, it is thus achieved that the first judged result is
Be, represent the i.e. panel computer pre-set user of described fingerprint image fingerprint image, and then obtain first identification
Result is also yes, and then the first recognition result is sent CPU, CPU to panel computer by MIPS processor
Produce the control instruction unlocked, allow a user to panel computer is operated, complete fingerprint identification process.
Embodiment two
Based on the inventive concept identical with the embodiment of the present application one, the embodiment of the present application two provides a kind of electronics to set
Standby, refer to Fig. 4, including:
System bus 10；
Processor 20, is connected with system bus 10, is used for generating and performing control instruction；
Biometric information identification module 30, is connected with processor 20 by system bus 10, wherein, and biological letter
Breath identification module 30, for being identified the biometric image to be identified of a bio information to be identified, obtains
Obtain the first recognition result, and by system bus 10, described first recognition result sent to processor 20,
So that processor 20 can generate based on shown first recognition result and perform control instruction.
In the embodiment of the present application two, biometric information identification module 30 includes:
Memory element, is used for storing at least one biological attribute data and at least one Image Processing parameter；
Graphics processing unit, is used for based at least one Image Processing parameter described a bio information to be identified
Biometric image to be identified carry out image procossing, it is thus achieved that corresponding with described biometric image to be identified
At least one biological attribute data to be identified；
Bio information recognition unit, for based at least one biological attribute data described and described at least one
Biological attribute data to be identified, is identified described bio information to be identified, it is thus achieved that the first recognition result,
And send described first recognition result to described processor, so that described processor can be based on shown the
One recognition result generates and performs control instruction.
In the embodiment of the present application two, when described bio information is specially fingerprint, described memory element is concrete
Including:
First memory element, is connected with described graphics processing unit, is used for storing at least one image described
Reason parameter and at least one fingerprint characteristic data to be identified；
Second memory element, is connected with described bio information recognition unit, is used for storing at least one fingerprint special
Levy data.
In the embodiment of the present application two, when described bio information is specially fingerprint, described graphics processing unit
Specifically include:
Gabor filtration module, for based at least one Image Processing parameter described, to fingerprint image to be identified
As carrying out Gabor Filtering Processing, export the first edge feature data of described fingerprint image to be identified；
Spectrum alignment module, for translating described first edge feature data, rotation processing, at output
Reason back edge characteristic；
Common calculation module, for described process back edge characteristic being carried out calculation process, output and institute
State at least one fingerprint characteristic data to be identified described that fingerprint image to be identified is corresponding.
In the embodiment of the present application two, when described bio information is specially fingerprint, described bio information identification
Unit specifically for:
At least one fingerprint characteristic data described is obtained from described second memory element；
Judge at least one fingerprint characteristic to be identified described in described graphics processing unit sends received
Whether data match with at least one fingerprint characteristic data described, it is thus achieved that the first judged result；
Based on described first judged result, it is thus achieved that described first recognition result.
In the embodiment of the present application two, when described bio information is specially fingerprint, described Gabor filters mould
Block specially comprises two inputs, Gabor filtering chip and the module of an outfan, wherein, described
Gabor filtration module by said two input obtains from described first memory element described at least one
Image Processing parameter, described Gabor filtering chip is treated described based at least one Image Processing parameter described
Identify that fingerprint image carries out Gabor Filtering Processing, it is thus achieved that the edge corresponding with described fingerprint image to be identified is special
Levy data, and by described outfan by described edge feature data feedback to described first memory element.
In the embodiment of the present application two, when described bio information is specially fingerprint, described common calculation module
Specially comprise two inputs, computing chip and the module of an outfan, wherein, described by calculating
Module obtains described process back edge characteristic number by said two input from described first memory element
According to, the edge feature data after described process are transported for arithmetic unit by described computing chip with pixel
Calculate, it is thus achieved that at least one to be identified fingerprint characteristic data corresponding with the edge feature data after described process,
And by described outfan, at least one fingerprint characteristic data to be identified described fed back to described first storage
Unit.
Embodiment three
Refer to Fig. 5, in the embodiment of the present application three provide a kind of information processing method flow chart, described
Method is applied in an electronic equipment, including:
S101: the graphics processing unit in described electronic equipment is based at least one stored in the memory unit
Image Processing parameter carries out image procossing to the biometric image to be identified of a bio information to be identified, it is thus achieved that
At least one to be identified biological attribute data corresponding with described biometric image to be identified；
S102: the bio information recognition unit in described electronic equipment is based on being stored in described memory element
At least one biological attribute data and at least one biological attribute data to be identified described, to described life to be identified
Thing information is identified, it is thus achieved that the first recognition result, and by described first recognition result by described electronics
System bus in equipment sends the processor to described electronic equipment, so that described processor can be based on
Described first recognition result generates and performs control instruction.
In the embodiment of the present application, described electronic equipment is specifically as follows notebook computer, panel computer, intelligence
Energy mobile phone etc., it is also possible to be other electronic equipments needing to identify bio information, here, the citing that just differs
?.In the embodiment of the present application, will the application is implemented as a example by described electronic equipment is as panel computer
Information processing method in example is described in detail.
In specific implementation process, as a example by described electronic equipment is as panel computer, described graphics processing unit,
Described memory element and described bio information recognition unit are specially and the processor in panel computer, as
The unit that CPU, GPU are separate, and by the processor of the data/address bus of panel computer with panel computer
It is connected, it is also possible to by described graphics processing unit, described memory element and described bio information recognition unit collection
Become in an individual chips.
In the embodiment of the present application, when described bio information is specially fingerprint, refer to Fig. 6, step S101
Specific implementation be:
S1011: obtain at least one Image Processing parameter from the first memory element；
S1012: based at least one Image Processing parameter described, fingerprint image to be identified is carried out Gabor
Filtering Processing, it is thus achieved that the first edge feature data of described fingerprint image to be identified；
S1013: described first edge feature data are translated, rotation processing, it is thus achieved that the limit after process
Edge characteristic；
S1014: the edge feature data after processing are carried out calculation process, it is thus achieved that with described fingerprint to be identified
At least one fingerprint characteristic data to be identified that image is corresponding.
In the embodiment of the present application, memory element is specifically divided into the first memory element and the second memory element, its
In, the first memory element carries out processing parameter required during image procossing for storing graphics processing unit, as
Gabor filters sampling interval array, weighted value value set etc., and storage graphics processing unit treats knowledge
The fingerprint characteristic to be identified that other fingerprint image extracts after carrying out computing, as fingerprint lines, fingerprint stricture of vagina number,
Central point, triangulation point and style line etc., specific features data can be chosen according to actual process,
It is not restricted.Second memory element is used for storing bio information recognition unit and knows
The fingerprint characteristic data of the pre-set user of panel computer required time other, special with the fingerprint that image procossing extracts
Levy identical, comprise fingerprint lines, fingerprint stricture of vagina number, central point, triangulation point and style line etc..
In the embodiment of the present application, described graphics processing unit specifically includes: Gabor filtration module, compose right
Neat module, common calculation module.
In specific implementation process, as a example by described electronic equipment is as panel computer, when a user wants to pass through
During unlocked by fingerprint panel computer, the first fingerprint collecting unit of panel computer can collect and be unlocked operation
The fingerprint image of user, then by the system bus of panel computer, sends described fingerprint image to Gabor
In filtration module, Gabor filtration module obtains between the sampling of Gabor Filtering Processing from the first memory element
Every value, weighted value sampling interval value and weighted value based on obtaining, described fingerprint image is carried out Gabor filter
Ripple processes, it is thus achieved that the edge feature data of described fingerprint image, and then, spectrum alignment module is special to described edge
Levy that data carry out translating, rotation etc. processes, it is thus achieved that the multiple different directions corresponding with described edge feature data
On edge feature data, then, the edge feature data on the plurality of different directions are sent to the most general
Computing module, wherein, includes the process of various simple operation in common calculation module, as added, subtract, taking advantage of,
Remove, can be according to different patterns, it is achieved multiple different calculating demand, e.g., Ridge following algorithm etc..
Carry out judging, identifying by the edge feature data on multiple different directions that common calculation module will obtain,
Reject the pseudo-random numbers generation in edge feature data, extract the validity feature number corresponding with described fingerprint image
According to.
In the embodiment of the present application, when described bio information is specially fingerprint, refer to Fig. 7, step S102
Specific implementation be:
S1021: obtain at least one fingerprint characteristic data from the second memory element；
S1022: judge at least one fingerprint characteristic data to be identified described whether with at least one fingerprint described
Characteristic matches, it is thus achieved that the first judged result；
S1023: based on described first judged result, it is thus achieved that described first recognition result；
S1024: described first recognition result is sent to described by the system bus in described electronic equipment
Processor in electronic equipment, so that described processor can generate based on described first recognition result and perform
Control instruction.
In specific implementation process, bio information recognition unit can be specially microchip, at MIPS
Reason device, arm processor etc., those skilled in the art can be configured according to use demand, in the application
Embodiment is not restricted.As a example by described bio information recognition unit is specially MIPS processor, continue to use
Above-mentioned example, after graphics processing unit extracts the validity feature data of described fingerprint image, has described
Effect characteristic sends to MIPS processor, and then, MIPS processor obtains from the second memory element
The fingerprint characteristic data that pre-set user is corresponding, by Feature Points Matching algorithm or matching algorithm based on string distance
Deng, the validity feature data of the described fingerprint image received are carried out matching degree calculating, when matching degree is higher than
During one threshold value set in advance, during such as matching degree higher than 80%, it is thus achieved that the first judged result is yes, represent institute
State the i.e. panel computer pre-set user of fingerprint image fingerprint image, and then obtain the first recognition result be also
It is that then the CPU, CPU of the first recognition result transmission to panel computer are produced unblock by MIPS processor
Control instruction, allow a user to panel computer is operated, complete fingerprint identification process.
By the one or more technical schemes in the embodiment of the present application, it is possible to achieve following one or more skills
Art effect:
One, due to the technical scheme in the embodiment of the present application, use memory element, be used for storing at least one
Biological attribute data and at least one Image Processing parameter；Graphics processing unit, for based on described at least
One Image Processing parameter carries out image procossing to the biometric image to be identified of a bio information to be identified,
Obtain at least one to be identified biological attribute data corresponding with described biometric image to be identified；Biological letter
Breath recognition unit, for based at least one biological attribute data described and at least one biology to be identified described
Characteristic, is identified described bio information to be identified, it is thus achieved that the first recognition result, and by described
First recognition result sends to described processor, so that described processor can be based on shown first recognition result
Generate and perform the technological means of control instruction, so, when electronic equipment receives bio information to be identified
Time, directly obtain recognition result by memory element, graphics processing unit and bio information recognition unit, will
Described recognition result sends the central processing unit to electronic equipment, and then central processing unit is without to be identified
Bio information carries out computing just can directly obtain recognition result, so, efficiently solve electricity of the prior art
Subset existence carries out the technical problem that during living things feature recognition, CPU power consumption is big, it is achieved reduce CPU power consumption
Technique effect.
Two, due to the technical scheme in the embodiment of the present application, use memory element, be used for storing at least one
Biological attribute data and at least one Image Processing parameter；Graphics processing unit, for based on described at least
One Image Processing parameter carries out image procossing to the biometric image to be identified of a bio information to be identified,
Obtain at least one to be identified biological attribute data corresponding with described biometric image to be identified；Biological letter
Breath recognition unit, for based at least one biological attribute data described and at least one biology to be identified described
Characteristic, is identified described bio information to be identified, it is thus achieved that the first recognition result, and by described
First recognition result sends to described processor, so that described processor can be based on shown first recognition result
Generate and perform the technological means of control instruction, so, biometric image to be identified is being identified fortune
During calculation, eliminate needs are carried out when central processing unit is identified address computation and generation jump instruction
Deng, do not interrupt pile line operation, so, it is achieved that improve the technique effect of the speed of living things feature recognition.
Three, due to the technical scheme in the embodiment of the present application, Gabor filtration module is used, for based on institute
Stating at least one Image Processing parameter, fingerprint image to be identified carries out Gabor Filtering Processing, output is described
The edge feature data of fingerprint image to be identified；Spectrum alignment module, for described first edge feature data
Carry out translating, rotation processing, output processes back edge characteristic；Common calculation module, for described
Process back edge characteristic and carry out calculation process, export corresponding with described fingerprint image to be identified described extremely
The technological means of a few fingerprint characteristic data to be identified, so, owing to common calculation module can realize many
Plant simple operation, and then the biology being made up of Gabor filtration module, spectrum alignment module and common calculation module
Information identification module can calculate demand according to difference, it is achieved the computing of multiple different mode, it is achieved that processes
The technique effect of mode diversification.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or meter
Calculation machine program product.Therefore, the present invention can use complete hardware embodiment, complete software implementation or knot
The form of the embodiment in terms of conjunction software and hardware.And, the present invention can use and wherein wrap one or more
Computer-usable storage medium containing computer usable program code (include but not limited to disk memory,
CD-ROM, optical memory etc.) form of the upper computer program implemented.
The present invention is with reference to method, equipment (system) and computer program product according to embodiments of the present invention
The flow chart of product and/or block diagram describe.It should be understood that can by computer program instructions flowchart and
/ or block diagram in each flow process and/or flow process in square frame and flow chart and/or block diagram and/
Or the combination of square frame.These computer program instructions can be provided to general purpose computer, special-purpose computer, embedding
The processor of formula datatron or other programmable data processing device is to produce a machine so that by calculating
The instruction that the processor of machine or other programmable data processing device performs produces for realizing at flow chart one
The device of the function specified in individual flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and computer or the process of other programmable datas can be guided to set
In the standby computer-readable memory worked in a specific way so that be stored in this computer-readable memory
Instruction produce and include the manufacture of command device, this command device realizes in one flow process or multiple of flow chart
The function specified in flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, makes
Sequence of operations step must be performed to produce computer implemented place on computer or other programmable devices
Reason, thus the instruction performed on computer or other programmable devices provides for realizing flow chart one
The step of the function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know base
This creativeness concept, then can make other change and amendment to these embodiments.So, appended right is wanted
Ask and be intended to be construed to include preferred embodiment and fall into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification without deviating from this to the present invention
Bright spirit and scope.So, if the present invention these amendment and modification belong to the claims in the present invention and
Within the scope of its equivalent technologies, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a biometric information identification module, when being applied in an electronic equipment, described bio information identification
Module is attached with the processor in described electronic equipment by the system bus in described electronic equipment, institute
State biometric information identification module to include:
Memory element, is used for storing at least one biological attribute data and at least one Image Processing parameter；
Graphics processing unit, is used for based at least one Image Processing parameter described a bio information to be identified
Biometric image to be identified carry out image procossing, it is thus achieved that corresponding with described biometric image to be identified
At least one biological attribute data to be identified；
Bio information recognition unit, for based at least one biological attribute data described and described at least one
Biological attribute data to be identified, is identified described bio information to be identified, it is thus achieved that the first recognition result,
And send described first recognition result to described processor, so that described processor can be based on shown the
One recognition result generates and performs control instruction.
2. biometric information identification module as claimed in claim 1, it is characterised in that at described bio information
When being specially fingerprint, described memory element specifically includes:
First memory element, is connected with described graphics processing unit, is used for storing at least one image described
Reason parameter and at least one fingerprint characteristic data to be identified；
Second memory element, is connected with described bio information recognition unit, is used for storing at least one fingerprint special
Levy data.
3. biometric information identification module as claimed in claim 2, it is characterised in that described image procossing list
Unit specifically includes:
Gabor filtration module, for based at least one Image Processing parameter described, to fingerprint image to be identified
Carry out Gabor Filtering Processing, export the first edge feature data of described fingerprint image to be identified；
Spectrum alignment module, for translating described first edge feature data, rotation processing, at output
Reason back edge characteristic；
Common calculation module, for described process back edge characteristic being carried out calculation process, output and institute
State at least one fingerprint characteristic data to be identified described that fingerprint image to be identified is corresponding.
4. biometric information identification module as claimed in claim 3, it is characterised in that described bio information is known
Other unit specifically for:
At least one fingerprint characteristic data described is obtained from described second memory element；
Judge at least one the fingerprint characteristic number to be identified described in described graphics processing unit sends received
According to whether matching with at least one fingerprint characteristic data described, it is thus achieved that the first judged result；
Based on described first judged result, it is thus achieved that described first recognition result.
5. biometric information identification module as claimed in claim 4, it is characterised in that described Gabor filters
Module specially comprises two inputs, Gabor filtering chip and the module of an outfan, wherein, described
Gabor filtration module by said two input obtains from described first memory element described at least one
Image Processing parameter, described Gabor filtering chip is treated described based at least one Image Processing parameter described
Identify that fingerprint image carries out Gabor Filtering Processing, it is thus achieved that the edge corresponding with described fingerprint image to be identified is special
Levy data, and by described outfan by described edge feature data feedback to described first memory element.
6. biometric information identification module as claimed in claim 5, it is characterised in that described general-purpose computations mould
Block specially comprises two inputs, computing chip and the module of an outfan, wherein, described by meter
Calculate module and from described first memory element, obtain described process back edge characteristic number by said two input
According to, described computing chip carries out computing for arithmetic unit to the edge feature data after described process with pixel,
Obtain at least one to be identified fingerprint characteristic data corresponding with the edge feature data after described process, and lead to
Cross described outfan and at least one fingerprint characteristic data to be identified described is fed back to described first memory element.
7. an electronic equipment, including:
System bus；
Processor, is connected with described system bus, is used for generating and performing control instruction；
Biometric information identification module as described in claim arbitrary in claim 1-6, by described system bus with
Described processor connects, and wherein, described biometric information identification module is for treating a bio information to be identified
Identification biometric image is identified, it is thus achieved that the first recognition result, and by described system bus by described
First recognition result sends to described processor, so that described processor can be based on shown first recognition result
Generate and perform control instruction.
8. a biological information recognition method, is applied in an electronic equipment, and described method includes:
Graphics processing unit in described electronic equipment based on storage at least one image in the memory unit at
Reason parameter carries out image procossing to the biometric image to be identified of a bio information to be identified, it is thus achieved that with described
At least one biological attribute data to be identified that biometric image to be identified is corresponding；
Bio information recognition unit in described electronic equipment is based at least be stored in described memory element
Individual biological attribute data and at least one biological attribute data to be identified described, to described bio information to be identified
It is identified, it is thus achieved that the first recognition result, and by described first recognition result by described electronic equipment
System bus send to the processor in described electronic equipment, so that described processor can be based on described the
One recognition result generates and performs control instruction.
9. method as claimed in claim 8, it is characterised in that be specially at described bio information to be identified
During fingerprint, the graphics processing unit in described electronic equipment is based at least one figure stored in the memory unit
As processing parameter carries out image procossing to the biometric image to be identified of a bio information to be identified, it is thus achieved that with
At least one biological attribute data to be identified that described biometric image to be identified is corresponding, specifically includes:
At least one Image Processing parameter is obtained from the first memory element；
Based at least one Image Processing parameter described, fingerprint image to be identified is carried out Gabor Filtering Processing,
Obtain the first edge feature data of described fingerprint image to be identified；
Described first edge feature data are translated, rotation processing, it is thus achieved that the edge feature number after process
According to；
Edge feature data after processing are carried out calculation process, it is thus achieved that corresponding with described fingerprint image to be identified
At least one fingerprint characteristic data to be identified.
10. method as claimed in claim 9, it is characterised in that the bio information in described electronic equipment
Recognition unit based at least one biological attribute data being stored in described memory element and described at least one
Biological attribute data to be identified, is identified described bio information to be identified, it is thus achieved that the first recognition result,
Specifically include:
At least one fingerprint characteristic data is obtained from the second memory element；
Judge at least one fingerprint characteristic data to be identified described whether with at least one fingerprint characteristic data described
Match, it is thus achieved that the first judged result；
Based on described first judged result, it is thus achieved that described first recognition result.
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