CN108416303A - A kind of safety cabinet based on iris recognition - Google Patents
A kind of safety cabinet based on iris recognition Download PDFInfo
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- CN108416303A CN108416303A CN201810196608.4A CN201810196608A CN108416303A CN 108416303 A CN108416303 A CN 108416303A CN 201810196608 A CN201810196608 A CN 201810196608A CN 108416303 A CN108416303 A CN 108416303A
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- iris
- safety door
- iris recognition
- safety
- lbp
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
-
- E—FIXED CONSTRUCTIONS
- E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
- E05G—SAFES OR STRONG-ROOMS FOR VALUABLES; BANK PROTECTION DEVICES; SAFETY TRANSACTION PARTITIONS
- E05G1/00—Safes or strong-rooms for valuables
- E05G1/02—Details
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Ophthalmology & Optometry (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention provides a kind of safety cabinets based on iris recognition, including cabinet, multiple storage tanks are separated out inside cabinet, storage tank is equipped with caulking groove on the inner wall close to opening, further includes safety gate assemblies, coded lock component, iris capturing device and iris recognition component.When Password Input mistake is more than certain number; closed safe door can be driven; so that switch gate and safety door are in closed state; safety cabinet is if desired opened at this time then to need to carry out by iris recognition; there is the technical program switch gate and the double protective barrier of safety door, password identification and iris recognition two ways to effectively improve the safety of safety cabinet；In addition, the iris recognition component of the present invention also improves recognition speed, enhances recognition accuracy, obtained higher robustness while saving memory space, reducing calculation amount.
Description
【Technical field】
The present invention relates to locking device technical field more particularly to a kind of safety cabinets based on iris recognition.
【Background technology】
With the development of society, the material life of people is increasingly enriched, also had in daily life more and more valuable
Article needs to preserve by safety cabinet.But not only the degree of automation is relatively low for traditional safety cabinet, and safety is also to be improved,
Furthermore it is not tampered person in order to prevent to remove safety cabinet, it will usually by way of increasing counterweight, certainly will influence whether to protect in this way
The convenience of dangerous cabinet.
【Invention content】
In view of this, an embodiment of the present invention provides a kind of safety cabinets based on iris recognition.
A kind of safety cabinet based on iris recognition, including cabinet are separated out multiple storage tanks, the appearance inside the cabinet
It sets slot and is equipped with caulking groove on the inner wall close to opening, further include safety gate assemblies, coded lock component, iris capturing device and rainbow
The opening of film recognizer component, the storage tank is equipped with safety gate assemblies；
The safety gate assemblies include safety door, linear bearing and linear electric machine, the safety door include upper safety door and
The both sides of lower safety door, upper safety door and lower safety door are respectively provided with two the linear guides, the both sides of upper safety door and lower safety door
It is fixed in the linear guide by sliding block respectively, the linear guide is symmetricly set on the left part and right part of caulking groove, upper safety door
It is arranged in the upper and lower part of caulking groove with lower safety door, the height of upper safety door is more than the depth on the top of caulking groove, lower safety door
Height be more than caulking groove lower part depth, the end of upper safety door is equipped with slot, and the end of lower safety door is equipped with plug, described
Slot and plug are mating, and the sliding block is driven by linear electric machine, and the drive signal of linear electric machine is by iris recognition group
Part provides；When safety door is closed, when iris recognition component identity is identified successfully, iris recognition component is to linear electricity
Machine sends drive signal, and the safety door is moved to designated position by control slide block, so that the safety door is opened；
The coded lock component includes PIN PAD, password identifier, lock body and switch gate, and switch gate is located at safety door
Outside, when password identifier judge PIN PAD input password it is correct when, to lock body send control signal, then control
Lock body opens switch gate, when password identifier judges that the password mistake of PIN PAD input reaches three times, to linear electricity
Machine sends drive signal, and the safety door is moved to designated position by control slide block, so that safety door is closed；The lock body is same
When be electrically connected iris recognition component, when iris recognition component identity identify successfully, to lock body send control signal, with control lock
Body opens switch gate；
The iris capturing device include at least box body, camera, circuit board and infrared lamp, the iris recognition component with take the photograph
As head, infrared lamp communication are connected, the box body is formed with iris capturing channel, the iris capturing channel and box body one at
Box body is divided into the first auxiliary box body and the second auxiliary box body, is provided with and takes the photograph in first auxiliary box body by type, the iris capturing channel
As head, the iris capturing channel rear portion is formed with the first through hole in connection iris capturing channel and the first auxiliary box body, and described the
One through-hole is located at immediately ahead of camera, and the front in the iris capturing channel is formed with connection iris capturing channel and the second sub- box
Second through-hole of body, second through-hole are located at the front of first through hole, infrared lamp, circuit are equipped in second auxiliary box body
Plate is arranged in the bottom of the second auxiliary box body, and the camera and infrared lamp are connect with circuit board.
As a kind of preferred embodiment of the application, the sliding block is equipped with range sensor, the range sensor with
Linear electric machine is electrically connected, and when sliding block slides into pre-determined distance, the range sensor is sent to the linear electric machine stops work
Make signal so that sliding block pause sliding.
As a kind of preferred embodiment of the application, the iris recognition component includes：
Acquisition module corrects initial iris image for passing through updating formula, and acquires the letter of iris image after calibration
Breath, updating formula are：Wherein XkAFor original iris image, XkBTo correct iris figure
Picture,For the standard deviation between original iris image and each pixel point value of correction iris image, μ is correction factor；
The Gabor filter for correcting iris image and 8 directions, 5 scales is carried out convolution by preprocessing module, with
Go out 40 Gabor characteristic matrixes, then obtain the corresponding amplitude of each Gabor characteristic matrix and generates corresponding initial LBP collection of illustrative plates；
Computing module schemes 40 initial LBP collection of illustrative plates by obtaining final LBP after weighted calculation for passing through weighted formula
Spectrum, weighted formula are：Wherein XLBPFor final LBP collection of illustrative plates, ALBPFor each Gabor characteristic matrix pair
The sum of amplitude answered, AiFor the corresponding amplitude of each Gabor characteristic matrix, XiIt is corresponding just that amplitude is corresponded to for each Gabor characteristic matrix
Beginning LBP collection of illustrative plates.
As a kind of preferred embodiment of the application, the iris recognition component further includes：
Hot spot correcting module, for passing through hot spot correction formula by the hot spot point P in final LBP collection of illustrative plates0(x0, y0) carry out
It corrects, four nearest non-spot area S is obtained on hot spot point up and down four directionm(m=1,2,3,4), Mei Gefei
Spot area chooses four envelope point P up and downmn(xmn, ymn) (m=1,2,3,4；N=1,2,3,4 gray value) carries out
The revised gray value g (P of hot spot point are calculated0), hot spot correction formula is：
Wherein g (offset) is that hot spot corrects gray value offset.
As a kind of preferred embodiment of the application, the iris recognition component further includes：
Dim spot compensating module, for passing through dim spot compensation formula by the dim spot P ' in final LBP collection of illustrative plates0(x’0,y′0) carry out
It corrects, four nearest non-dim spot area S ' is obtained on dim spot up and down four directionm(m=1,2,3,4), it is each non-dark
Choose four envelope point P ' up and down in point regionmn(x′mn, y 'mn) (m=1,2,3,4；N=1,2,3,4 gray value) come into
The revised gray value g (P ' of hot spot point are calculated in row0), hot spot correction formula is：
Wherein g ' (offset) is dim spot compensating for gray-scale value offset.
As a kind of preferred embodiment of the application, the iris recognition component further includes：
Processing module carries out coding with after dimensionality reduction to the final LBP collection of illustrative plates after hot spot amendment and dim spot compensation, calculates most
Whole LBP collection of illustrative plates corresponds to the Hamming distance between coding and feature coding from when Hamming distance is from no more than predetermined threshold value, then
Judge identification success.
A technical solution in above-mentioned technical proposal has the advantages that：
An embodiment of the present invention provides a kind of safety cabinet based on iris recognition, Password Input mistake is more than certain number
When, closed safe door can be driven, so that switch gate and safety door are in closed state, if desired opening safety cabinet at this time then needs
It to be carried out by iris recognition, the technical program has switch gate and the double protective barrier of safety door, password identification and iris
Identification two ways effectively improves the safety of safety cabinet；
In addition, the iris recognition component of the present invention is provided with acquisition module, and the updating formula defined in acquisition module,
Improve the precision of iris image processing；It is also provided with computing module, and defines weighted formula, by 40 in preprocessing module
A collection of illustrative plates is weighted, and simplifies subsequent treating capacity, while considering the amplitude of each collection of illustrative plates, improves weighting knot
The accuracy of fruit；It is also provided with hot spot correcting module and dim spot compensating module, is mended by the hot spot correction formula and dim spot of definition
Repay formula so that correct and compensation after iris image closer to iris image real structure information；Save memory space,
While reducing calculation amount, recognition speed is also improved, recognition accuracy is enhanced, has obtained higher robustness.
【Description of the drawings】
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this field
For those of ordinary skill, without having to pay creative labor, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the structural schematic diagram of safety cabinet of the embodiment of the present invention based on iris recognition；
Fig. 2 is the structural schematic diagram of safety gate assemblies of the embodiment of the present invention；
Fig. 3 is the structural schematic diagram of iris capturing device of the embodiment of the present invention；
Fig. 4 is the structural schematic diagram of iris recognition component of the embodiment of the present invention.
【Specific implementation mode】
For a better understanding of the technical solution of the present invention, being retouched in detail to the embodiment of the present invention below in conjunction with the accompanying drawings
It states.
It will be appreciated that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art obtained without creative efforts it is all its
Its embodiment, shall fall within the protection scope of the present invention.
The term used in embodiments of the present invention is the purpose only merely for description specific embodiment, is not intended to be limiting
The present invention.In the embodiment of the present invention and "an" of singulative used in the attached claims, " described " and "the"
It is also intended to including most forms, unless context clearly shows that other meanings.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation of description affiliated partner, indicate
There may be three kinds of relationships, for example, A and/or B, can indicate：Individualism A, exists simultaneously A and B, individualism B these three
Situation.In addition, character "/" herein, it is a kind of relationship of "or" to typically represent forward-backward correlation object.
Depending on context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determination " or " in response to detection ".Similarly, depend on context, phrase " if it is determined that " or " if detection
(condition or event of statement) " can be construed to " when determining " or " in response to determination " or " when the detection (condition of statement
Or event) when " or " in response to detection (condition or event of statement) ".
Fig. 1 is the structural schematic diagram of safety cabinet of the embodiment of the present invention based on iris recognition, and Fig. 2 is peace of the embodiment of the present invention
The structural schematic diagram of air cock component, Fig. 3 are the structural schematic diagrams of iris capturing device of the embodiment of the present invention, and Fig. 4 is implementation of the present invention
The structural schematic diagram of example iris recognition component.
As shown in Figs. 1-3, include cabinet the present invention is based on the safety cabinet of iris recognition, be separated out inside cabinet multiple accommodating
Slot 1, storage tank 1 are equipped with caulking groove on the inner wall close to opening, further include safety gate assemblies 10, coded lock component 20, rainbow
The opening of film collector 30 and iris recognition component 40, storage tank 1 is equipped with safety gate assemblies 10；
Safety gate assemblies 10 include safety door 11, linear bearing 12 and linear electric machine 13, and safety door 11 includes upper safety door
111 and lower safety door 112, the both sides of upper safety door 111 and lower safety door 112 are respectively provided with two the linear guides 121, upper safety door
111 and the both sides of lower safety door 112 be fixed in the linear guide 121 by sliding block 122 respectively, the linear guide 121 is symmetrical arranged
In the left part and right part of caulking groove, upper safety door 111 and lower safety door 112 are arranged in the upper and lower part of caulking groove, upper safety door 111
Height be more than caulking groove top depth, the height of lower safety door 112 is more than the depth of the lower part of caulking groove, upper safety door 111
End be equipped with slot 113, the end of lower safety door 112 is equipped with plug 114, and slot 113 and plug 114 are mating, sliding block
122 are driven by linear electric machine, and the drive signal of linear electric machine is by 40 offers of iris recognition group；It is closed when safety door 11 is in
When closed state, when 40 identification of iris recognition component is successful, iris recognition component 40 sends drive signal to linear electric machine, and
Safety door 11 is moved to designated position by control slide block 122, so that safety door 11 is opened；
20 component of coded lock includes PIN PAD 21, password identifier 22, lock body 23 and switch gate 24, switch gate 24
It is sent out to lock body 23 in the outside of safety door 11 when password identifier 22 judges that the password that PIN PAD 21 inputs is correct
Control signal is sent, then controls lock body 23 and opens switch gate, when password identifier 22 judges the password that PIN PAD 21 inputs
When mistake is reached three times, drive signal is sent to linear electric machine, and safety door 11 is moved to designated position by control slide block 122,
So that safety door 11 is closed；Lock body 23 is electrically connected iris recognition component 40 simultaneously, when 40 identification of iris recognition component success
When, control signal is sent to lock body 23, switch gate 24 is opened to control lock body 23；
Iris capturing device 30 includes at least box body 31, camera 32, circuit board 33 and infrared lamp 34, iris recognition component 40
It is connected with camera 32, the communication of infrared lamp 34, box body 31 is formed with iris capturing channel 35, iris capturing channel 35 and box body 31
It is integrally formed, iris capturing channel 35 divides box body 31 for the first auxiliary box body 36 and the second auxiliary box body 37, in the first auxiliary box body 36
It is provided with camera 32,35 rear portion of iris capturing channel is formed with the first of connection iris capturing channel 35 and the first auxiliary box body 36
Through-hole 351, first through hole 351 are located at 32 front of camera, and the front in iris capturing channel 35 is formed with connection iris capturing
Second through-hole 352 in channel 35 and the second auxiliary box body 37, the second through-hole 352 are located at the front of first through hole 351, the second sub- box
Be equipped with infrared lamp 34 in body 37, circuit board 33 is arranged in the bottom of the second auxiliary box body 37, camera 32 and infrared lamp 34 with electricity
Road plate 33 connects.Iris recognition component 40 is arranged in box body 31.
It should be noted that safety cabinet of the application based on iris recognition, when in a safe condition, safety door is to be in
Open state, at this time by inputting correct password, control lock body opens the unlatching that switch gate achieves that safety cabinet；When close
Code identifier judges the password mistake of PIN PAD input when reaching three times, then in the hole, then password identifier
Drive signal is sent to linear electric machine, and safety door is moved to designated position by control slide block, so that safety door is closed, opened at this time
It closes the door and safety door is in closed state, need to be verified by iris recognition at this time, and could be to lock body when being verified
And safety gate assemblies send signal, open unlatching switch gate to control lock body, safety door is opened in control slide block movement.This Shen
Coded lock component please is electronic cipher lock set, can take technological means commonly used in the art, therefore not repeat herein.
Since sliding block is equipped with range sensor, and range sensor is electrically connected with linear electric machine, when sliding block slide into it is default
Apart from when, range sensor to linear electric machine send silence signal so that sliding block pause sliding, the move distance of sliding block can
The operation that linear electric machine is controlled by range sensor is controlled with closing, to be used for controlling unlatching and the pass of safety door
It closes.
Fig. 4 is the structural schematic diagram of iris recognition component of the embodiment of the present invention, as shown in figure 4, iris recognition component 40 wraps
It includes：
Acquisition module 41 corrects initial iris image for passing through updating formula, and acquires iris image after calibration
Information, updating formula are：Wherein XkAFor original iris image, XkBTo correct iris
Image,For the standard deviation between original iris image and each pixel point value of correction iris image, μ is correction factor.
It should be noted that correction factor μ is determined based on iris capturing device, iris capturing device includes at least camera shooting group
Part and infrared assembly, different types of iris capturing device precision are different, and technical solution of the present invention presets a standard first
Iris capturing device, and correction factor μ is only related with the type of iris capturing device, passes through itself and standard iris capturing device information collection
Precision is confirmed.
The Gabor filter for correcting iris image and 8 directions, 5 scales is carried out convolution by preprocessing module 42, with
It obtains 40 Gabor characteristic matrixes, then obtain the corresponding amplitude of each Gabor characteristic matrix and generates corresponding initial LBP figures
Spectrum.
It should be noted that Two-Dimensional Gabor Wavelets can extract multiple dimensioned, multidirectional space frequency in image specific region
Rate feature amplifies the variation of gray scale as microscope, has certain robustness to illumination, posture.Using Gabor transformation come
Iris image is handled, some key features can be enhanced, to distinguish different iris images.
Computing module 43, for passing through weighted formula by 40 initial LBP collection of illustrative plates by obtaining final LBP after weighted calculation
Collection of illustrative plates, weighted formula are：Wherein XLBPFor final LBP collection of illustrative plates, ALBPFor each Gabor characteristic matrix
The sum of corresponding amplitude, AiFor the corresponding amplitude of each Gabor characteristic matrix, XiIt is corresponding that amplitude is corresponded to for each Gabor characteristic matrix
Initial LBP collection of illustrative plates.
It should be noted that amplitude is included in weighted formula by the application so that weighted effect is more accurate, the result after weighting
Subsequent data processing amount can also be reduced, recognition speed is improved.
Iris recognition component further includes：
Hot spot correcting module 44, for passing through hot spot correction formula by the hot spot point P in final LBP collection of illustrative plates0(x0, y0) into
Row is corrected, and four nearest non-spot area S are obtained on hot spot point up and down four directionm(m=1,2,3,4), each
Non- spot area chooses four envelope point P up and downmn(xmn, ymn) (m=1,2,3,4；N=1,2,3,4 gray value) come into
The revised gray value g (P of hot spot point are calculated in row0), hot spot correction formula is：
Wherein g (offset) is that hot spot corrects gray value offset.
Wherein, g (offset) be according to the calculated gray value offset of training sample in iris recognition component, can be with
It is further promoted and corrects precision.
Iris recognition component further includes：
Dim spot compensating module 45, for passing through dim spot compensation formula by the dim spot P ' in final LBP collection of illustrative plates0(x’0, y '0) into
Row is corrected, and four nearest non-dim spot area S ' are obtained on dim spot up and down four directionm(m=1,2,3,4), Mei Gefei
Dim spot area chooses four envelope point P ' up and downmn(x′mn, y 'mn) (m=1,2,3,4；N=1,2,3,4 gray value) comes
It carries out that the revised gray value g (P ' of hot spot point are calculated0), hot spot correction formula is：
Wherein g ' (offset) is dim spot compensating for gray-scale value offset.
Wherein, g ' (offset) be according to the calculated dim spot compensating module of training sample in iris recognition component, can
Further to promote compensation precision.
In technical scheme, in iris image bright spot and dim spot be corrected so that final iris image
Closer to true image.
Iris recognition component further includes：
Processing module 46 carries out coding with after dimensionality reduction to the final LBP collection of illustrative plates after hot spot amendment and dim spot compensation, calculates
Final LBP collection of illustrative plates correspond to the Hamming distance between coding and feature coding from, when Hamming distance is from no more than predetermined threshold value,
Then judge identification success.
It should be noted that the application is advanced optimized based on CS-LBP, the program crosses code in fixed reference feature coding all
The occurrence number of first " 1 " carries out secondary coding with the relationship of total dimension.Specifically, when the super total dimension of the occurrence number of symbol " 1 "
Condition code is denoted as 1 by several half then it is believed that the point is there are important texture variations information, otherwise is denoted as 0, and formula is as follows
It is shown：
For example, if the feature coding for handling gained by CS-LBP operators is " 0101 ", the wherein appearance of symbol " 1 "
Number is 2, accounts for the half of total dimension, thus is denoted as " 1 ".Compared with traditional C/S-LBP operators, this method only needs 8192
Bit can describe a width iris image, and can try one's best reduces the dimension of feature description code, reduce to memory space
Demand.
In addition, Hamming distance is from the inspection work commonly used to realize two groups of data similarity degrees.Iris image is carried out
Normalized can be good at making up the defect of translation invariance, since angle is inconsistent caused when for iris capturing
It is rotationally-varying, can be used Hamming distance from be detected judge.When Hamming distance from it is smaller, more approach 0 when, then show two width
The similarity degree of image is higher, it is most likely that is similar iris image；When Hamming distance is from bigger, then show two images
Feature coding belongs to foreign peoples's iris image or for the similar iris image after horizontal displacement there are huge difference.
The technical solution of the embodiment of the present invention has the advantages that：
An embodiment of the present invention provides a kind of safety cabinet based on iris recognition, Password Input mistake is more than certain number
When, closed safe door can be driven, so that switch gate and safety door are in closed state, if desired opening safety cabinet at this time then needs
It to be carried out by iris recognition, the technical program has switch gate and the double protective barrier of safety door, password identification and iris
Identification two ways effectively improves the safety of safety cabinet；In addition, the iris recognition component of the present invention is provided with acquisition module,
And the updating formula defined in acquisition module, improve the precision of iris image processing；It is also provided with computing module, and is defined
Weighted formula, 40 collection of illustrative plates in preprocessing module are weighted, simplify subsequent treating capacity, considers simultaneously
The amplitude of each collection of illustrative plates, improves the accuracy of weighted results；It is also provided with hot spot correcting module and dim spot compensating module, is led to
Cross the hot spot correction formula and dim spot compensation formula of definition so that correct and compensation after iris image closer to iris image
Real structure information；While saving memory space, reducing calculation amount, recognition speed is also improved, it is accurate to enhance identification
Rate has obtained higher robustness.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, apparatus embodiments described above are merely indicative, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, for example, multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be by some interfaces, equipment or unit it is indirect
Coupling or communication connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can be stored in one and computer-readable deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
It is each that equipment (can be personal computer, server or the network equipment etc.) or processor (Processor) execute the present invention
The part steps of embodiment the method.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
The medium of program code can be stored.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
With within principle, any modification, equivalent substitution, improvement and etc. done should be included within the scope of protection of the invention god.
Claims (6)
1. a kind of safety cabinet based on iris recognition, which is characterized in that including cabinet, be separated out inside the cabinet multiple accommodating
Slot, the storage tank are equipped with caulking groove on the inner wall close to opening, further include safety gate assemblies, coded lock component, iris
The opening of collector and iris recognition component, the storage tank is equipped with safety gate assemblies；
The safety gate assemblies include safety door, linear bearing and linear electric machine, and the safety door includes upper safety door and lower peace
The both sides of air cock, upper safety door and lower safety door are respectively provided with two the linear guides, the both sides difference of upper safety door and lower safety door
It is fixed in the linear guide by sliding block, the linear guide is symmetricly set on the left part and right part of caulking groove, and upper safety door is under
Safety door is arranged in the upper and lower part of caulking groove, and the height of upper safety door is more than the depth on the top of caulking groove, the height of lower safety door
Degree is more than the depth of the lower part of caulking groove, and equipped with slot, the end of lower safety door is equipped with plug, the slot for the end of upper safety door
Mating with plug, the sliding block is driven by linear electric machine, and the drive signal of linear electric machine is carried by iris recognition component
For；When safety door is closed, when iris recognition component identity is identified successfully, iris recognition component is sent out to linear electric machine
Drive signal is sent, and the safety door is moved to designated position by control slide block, so that the safety door is opened；
The coded lock component includes PIN PAD, password identifier, lock body and switch gate, and switch gate is located at the outer of safety door
Portion sends control signal to lock body, then controls lock body when password identifier judges that the password of PIN PAD input is correct
Switch gate is opened, when password identifier judges that the password mistake of PIN PAD input reaches three times, is sent out to linear electric machine
Drive signal is sent, and the safety door is moved to designated position by control slide block, so that safety door is closed；The lock body is electric simultaneously
Iris recognition component is connected, when iris recognition component identity identifies successfully, control signal is sent to lock body, is opened with controlling lock body
Breakdown is closed the door；
The iris capturing device includes at least box body, camera, circuit board and infrared lamp, the iris recognition component and camera shooting
Head, infrared lamp communication are connected, and the box body is formed with iris capturing channel, and the iris capturing channel is integrally formed with box body,
Box body is divided into the first auxiliary box body and the second auxiliary box body by the iris capturing channel, and camera shooting is provided in first auxiliary box body
Head, the iris capturing channel rear portion be formed with connection iris capturing channel and the first auxiliary box body first through hole, described first
Through-hole is located at immediately ahead of camera, and the front in the iris capturing channel is formed with connection iris capturing channel and the second auxiliary box body
The second through-hole, second through-hole is located at the front of first through hole, infrared lamp, circuit board is equipped in second auxiliary box body
It is arranged in the bottom of the second auxiliary box body, the camera and infrared lamp are connect with circuit board.
2. industrial injury data input device as described in claim 1, which is characterized in that the sliding block is equipped with range sensor, institute
It states range sensor to be electrically connected with linear electric machine, when sliding block slides into pre-determined distance, the range sensor is to described linear
Motor sends silence signal so that sliding block pause sliding.
3. industrial injury data input device as claimed in claim 2, which is characterized in that the iris recognition component includes：
Acquisition module corrects initial iris image for passing through updating formula, and acquires the information of iris image, school after calibration
Positive formula is：Wherein XkAFor original iris image, XkBTo correct iris image,
For the standard deviation between original iris image and each pixel point value of correction iris image, μ is correction factor；
The Gabor filter for correcting iris image and 8 directions, 5 scales is carried out convolution, to obtain 40 by preprocessing module
Then a Gabor characteristic matrix obtains the corresponding amplitude of each Gabor characteristic matrix and generates corresponding initial LBP collection of illustrative plates；
Computing module, for passing through weighted formula by 40 initial LBP collection of illustrative plates by obtaining final LBP collection of illustrative plates after weighted calculation,
Weighted formula is：Wherein XLBPFor final LBP collection of illustrative plates, ALBPIt is corresponding for each Gabor characteristic matrix
The sum of amplitude, AiFor the corresponding amplitude of each Gabor characteristic matrix, XiIt is corresponding initial that amplitude is corresponded to for each Gabor characteristic matrix
LBP collection of illustrative plates.
4. industrial injury data input device as claimed in claim 3, which is characterized in that the iris recognition component further includes：
Hot spot correcting module, for passing through hot spot correction formula by the hot spot point P in final LBP collection of illustrative plates0(x0, y0) be modified,
Four nearest non-spot area S are obtained on hot spot point up and down four directionm(m=1,2,3,4), each non-facular area
Choose four envelope point P up and down in domainmn(xmn, ymn) (m=1,2,3,4；N=1,2,3,4 gray value) calculate
The revised gray value g (P of light extraction spot0), hot spot correction formula is：
Wherein g (offset) is that hot spot corrects gray value offset.
5. industrial injury data input device as claimed in claim 4, which is characterized in that the iris recognition component further includes：
Dim spot compensating module, for passing through dim spot compensation formula by the dim spot P ' in final LBP collection of illustrative plates0(x′0, y '0) repaiied
Just, four nearest non-dim spot area S ' are obtained on dim spot up and down four directionm(m=1,2,3,4), each non-dim spot
Choose four envelope point P ' up and down in regionmn(x′mn,y′mn) (m=1,2,3,4；N=1,2,3,4 gray value) carries out
The revised gray value g (P ' of hot spot point are calculated0), hot spot correction formula is：
Wherein g ' (offset) is dim spot compensating for gray-scale value offset.
6. industrial injury data input device as claimed in claim 5, which is characterized in that the iris recognition component further includes：
Processing module carries out coding with after dimensionality reduction to the final LBP collection of illustrative plates after hot spot amendment and dim spot compensation, calculates finally
LBP collection of illustrative plates corresponds to the Hamming distance between coding and feature coding from when Hamming distance is from no more than predetermined threshold value, then sentencing
Disconnected identification success.
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| CN114165134A (en) * | 2022-01-19 | 2022-03-11 | 中恒国通有限公司 | Intelligent confidential cabinet with face recognition function |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1451141A (en) * | 2000-04-29 | 2003-10-22 | 利真株式会社 | Method and apparatus for discriminating latent fingerprin in optical fingerprint input apparatus |
| CN105488377A (en) * | 2015-12-15 | 2016-04-13 | 深圳先进技术研究院 | Production method and equipment of fake iris template and identity authentication method and equipment |
| CN108509865A (en) * | 2018-03-09 | 2018-09-07 | 贵州人和致远数据服务有限责任公司 | A kind of industrial injury information input method and device |
-
2018
- 2018-03-09 CN CN201810196608.4A patent/CN108416303A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1451141A (en) * | 2000-04-29 | 2003-10-22 | 利真株式会社 | Method and apparatus for discriminating latent fingerprin in optical fingerprint input apparatus |
| CN105488377A (en) * | 2015-12-15 | 2016-04-13 | 深圳先进技术研究院 | Production method and equipment of fake iris template and identity authentication method and equipment |
| CN108509865A (en) * | 2018-03-09 | 2018-09-07 | 贵州人和致远数据服务有限责任公司 | A kind of industrial injury information input method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114165134A (en) * | 2022-01-19 | 2022-03-11 | 中恒国通有限公司 | Intelligent confidential cabinet with face recognition function |
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