CN107195079A - A kind of dining room based on iris recognition is swiped the card method and system - Google Patents
A kind of dining room based on iris recognition is swiped the card method and system Download PDFInfo
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- CN107195079A CN107195079A CN201710597360.8A CN201710597360A CN107195079A CN 107195079 A CN107195079 A CN 107195079A CN 201710597360 A CN201710597360 A CN 201710597360A CN 107195079 A CN107195079 A CN 107195079A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000013598 vector Substances 0.000 claims abstract description 39
- 235000013305 food Nutrition 0.000 claims abstract description 13
- 238000004080 punching Methods 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 4
- 210000001747 pupil Anatomy 0.000 claims description 4
- 229910002056 binary alloy Inorganic materials 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims description 2
- 238000010606 normalization Methods 0.000 claims 1
- 239000013589 supplement Substances 0.000 claims 1
- 230000001680 brushing effect Effects 0.000 abstract description 12
- 238000005516 engineering process Methods 0.000 abstract description 9
- 230000008859 change Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 3
- 235000012054 meals Nutrition 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000005347 demagnetization Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012850 discrimination method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000012804 iterative process Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012011 method of payment Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F7/00—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus
- G07F7/08—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card or other personal identification means
- G07F7/0873—Details of the card reader
- G07F7/0893—Details of the card reader the card reader reading the card in a contactless manner
-
- 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
- G06V40/19—Sensors therefor
-
- 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
- G06V40/197—Matching; Classification
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- Theoretical Computer Science (AREA)
- Collating Specific Patterns (AREA)
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Abstract
The present invention relates to iris recognition technology field, particularly a kind of dining room based on iris recognition is swiped the card method and system.Food price is dealt with input；Gather the image of the whole eye of paying person；Required iris image is extracted from the whole eyes image collected；Iris image feature is extracted from iris image, and characteristic vector is generated according to iris image feature；The characteristic vector of generation is compared with teachers and students' iris with IC-card account database, corresponding iris numbering is found out；Numbered according to iris, perform and deduct fees under the corresponding account of IC-card coding of accounts from teachers and students' iris IC-card coding of accounts corresponding with being found out in IC-card account database, and according to the food price of dealing with of input.The iris capturing of dining room brushing card device based on iris recognition belongs to contactless, for the fingerprint collecting equipment of contact, is not required to often change iris capturing equipment, and the renewal software that only need according to demand can be selective, cost performance is higher.
Description
Technical field
The present invention relates to iris recognition technology field, particularly a kind of dining room based on iris recognition, which is swiped the card, method and is
System.
Background technology
At present, the brushing card device that school lunch service uses all is generally the contactless IC-card dining room brushing card device used,
This brushing card device has the advantages that electronization, judicial convenience, without cash transaction, effectively avoids small change band in cash transaction
The trouble come.
With the development of information technology and mode identification technology, biometrics identification technology has been also applied to consumption of paying the bill
In, the method for enriching payment simplifies the flow of payment.Finger-print type dining room brushing card device built-in fingerprint recognition chip, fortune
Realized and paid with fingerprint method of payment, the characteristic informations such as the characteristic point that is carried in fingerprint are found by fingerprint identification technology, pre-
It is matching in the school's teachers and students' fingerprint base first collected, by finger print information and tsi message and a pair of Campus Smart Card account 1
Should, teachers and students' account database is built, so as to can just realize that deduction deals with dinner cost by brush finger line.Swipe the card in finger-print type dining room
Device is made that improvement on the basis of the brushing card device of original IC-card dining room, can prevent because not band IC-card can not have dinner,
The situation that IC-card is broken off or lost to steal brush mess card by people after IC-card occurs, and more judicial convenience, substantially reduces queuing
Get food meal time.But above-mentioned finger-print type dining room brushing card device also has many deficiencies, is in particular in：Finger-print type dining room is swiped the card dress
The equipment for belonging to contact is put, long-term use can cause equipment attrition, sensitivity decrease, can shadow if being stained with other materials on hand
Recognition effect is rung so as to lead to not pay, and because the characteristic information that everyone fingerprint is carried is few, so fingerprint recognition
Misclassification rate it is higher than other biological identification technology, security performance is also to be hoisted.
The content of the invention
In order to solve the above technical problems, can effectively improve payment efficiency and safety it is an object of the invention to provide one kind
Property, shorten queuing meal time, it is strong solve other campuses swipe the card the means of payment bring problem based on iris recognition
Dining room is swiped the card method and system.
Swiped the card method for a kind of dining room based on iris recognition of the present invention, its technological means used for：
Food price is dealt with input；
Gather the image of the whole eye of paying person；
Required iris image is extracted from the whole eyes image collected；
Iris image feature is extracted from the iris image, and characteristic vector is generated according to iris image feature；
By the characteristic vector of generation and teachers and students' iris with including whole school teaching and administrative staff and student's iris in IC-card account database
The iris feature storehouse of information is compared, and finds out corresponding iris numbering；
Numbered according to iris, corresponding IC-card account is found out from teachers and students' iris with the IC accounts storehouse in IC-card account database
Family is numbered, and is performed and deducted fees under the corresponding account of the IC-card coding of accounts according to the food price of dealing with of input.
Further, teachers and students' iris is included with IC-card account database：
Iris feature storehouse：Including the characteristic vector and and characteristic vector for identifying whole school teaching and administrative staff and student's iris information
One-to-one iris numbering；
IC accounts storehouse：IC-card coding of accounts, name including whole school teaching and administrative staff and student, registration are shone, consumption information and filled
Value information；
The iris numbering is mutually corresponding with IC-card coding of accounts.
Further, required iris image is extracted from the whole eyes image collected, its process is as follows：
Step 1：Binary system eyes image BW is inputted, is closed on apart from d；
Step 2：Binary picture BW barycenter (α, β) is calculated, if center of circle O (α, β)；
Step 3：Set possible searching position (α+i*d, β+j*d), i, j ∈ { -1,0,1 }；
The optimal center of circle and the radius of each searching position are asked for using center of circle detection algorithm, and essence is carried out using iterative method
Really, until when d is equal to 0, by obtained central coordinate of circle O (α, β), radius r as the optimal center of circle and radius, so that it is determined that pupil and
Border between iris, iris image is extracted from whole eyes image.
Further, extract after required iris image, the iris image is made into normalized, and be CLAHE
Image enhancement processing.
Further, extracted from the iris image after iris image feature, use spy of the laplace operators to extraction
Levy and a little make optimization processing.
For a kind of dining room card-punching system based on iris recognition of the present invention, its technological means used for, including：
Numeric keypad loader：For dealing with food price for dining room staff input, and food is dealt with into input
Price is sent to microprocessor；
Iris capturing device：For intercepting the image of the whole eye of paying person, and it is sent to microprocessor；
Teachers and students' iris and IC-card account database：For store mark whole school teaching and administrative staff and student's iris information feature to
Measure, shine, disappear with characteristic vector one-to-one iris numbering, whole school teaching and administrative staff and the IC-card coding of accounts of student, name, registration
Charge information and charging information；
Microprocessor：For extracting required iris image from the whole eyes image collected, from iris image
Middle extraction iris image feature, and characteristic vector is generated according to iris image feature, and the characteristic vector of generation is sent to
School Finance Center server, and the presentation of information of deducting fees received is exported；
School's Finance Center server：For calling teachers and students' iris and IC-card account database to the characteristic vector that receives
Matched, and corresponding IC-card account is deducted fees after the match is successful, and the feedback of the information that will deduct fees is to microprocessor.
Further, the microprocessor includes：
Iris image acquisition module：Required iris image is extracted from the whole eyes image collected；
Iris feature extraction module：For extracting iris image feature from iris image, and according to iris image feature
Generate characteristic vector；
Iris feature matching module：For characteristic vector and teachers and students' iris for calling to be compared with IC-card account database
It is right, realize characteristic vector and matching that iris is numbered.
Further, the microprocessor also includes：Iris preprocessing module, the iris preprocessing module
For making normalized to the iris image, and do CLAHE image enhancement processings.
Further, a kind of dining room card-punching system based on iris recognition also includes radio frequency card reader, the radio-frequency card
Card reader is used to common mess card is identified.
Further, a kind of dining room card-punching system based on iris recognition also includes：
LED digital displays：For the presentation of information of deducting fees received to be exported；
Miniature memory bar：Temporarily deposited for the iris image to being obtained in microprocessor calculating process, characteristic vector
Storage；
Language prompting apparatus：For exporting successfully voice message of deducting fees according to the control instruction of microprocessor；
Indicator lamp：For showing power supply, networking and consumption status.
The beneficial effects of the invention are as follows：
(1) iris recognition technology compares traditional biometric discrimination method, precision highest, and everyone iris is unique
, it is difficult to change.
(2) iris capturing of the dining room brushing card device based on iris recognition belongs to contactless, compared to the finger of contact
For line collecting device, it is not required to often change iris capturing equipment, the renewal software that only need according to demand can be selective, sexual valence
Than higher.
(3) IC-card dining room brushing card device has the unfavorable factors such as frangibility, easy to lose, easy demagnetization, easily stolen brush, and described
Dining room brushing card device based on iris recognition is then completely there is no concern that problems
(4) dining room based on iris recognition is swiped the card method, and iris feature vector is directly bound with IC accounts, is not in
The situation consumed by other people steal-number, security is higher
(5) iris collection device directly intercepts eyes image when extracting iris image, compared to general iris capturing device
Substantial amounts of face-image is contained in the iris image of shooting, interception efficiency is more preferably.
(6) strengthen iris image using CLAHE (limitation contrast self-adapting histogram equilibrium), can detect more
Iris feature point, ensure that the precision of identification.
(7) it is iterated by the way of selectively taking a little using circle detection algorithm, can be quickly by iris from eye
Split in portion's image, effectively raise arithmetic speed.
(8) optimization processing is made to the characteristic point of extraction using Laplace operators, effectively increases feature extraction speed.
Brief description of the drawings
Fig. 1 is a kind of dining room card-punching system (back side) structural representation based on iris recognition；
Fig. 2 is a kind of dining room card-punching system (front) structural representation based on iris recognition；
Fig. 3 is a kind of dining room card-punching system connection block diagram based on iris recognition；
Fig. 4 is microprocessor internal block diagram in Fig. 3；
Fig. 5 is that a kind of dining room based on iris recognition is swiped the card method flow diagram；
In figure：1-numeric keypad loader, 2-voice prompting device, 3-LED digital displays, 4-indicator lamp, 5-electricity
Source switch button, 6-internet interface, 7-power line, 8-iris capturing device, 9-microprocessor, 10-radio-frequency card Card Reader
Device.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.The specific embodiments described herein are merely illustrative of the present invention, is not used to limit
The fixed present invention.As long as in addition, technical characteristic involved in each embodiment of invention described below is each other
Not constituting conflict can just be mutually combined.
As Figure 1-3, a kind of dining room card-punching system based on iris recognition includes：Numeric keypad loader 1, voice are carried
Show device 2, it is LED digital displays 3, indicator lamp 4, power switch button 5, internet interface 6, power line 7, iris capturing device 8, micro-
Processor 9, radio frequency card reader 10, miniature memory bar, school's Finance Center server and teachers and students' iris and IC-card account data
Storehouse.Wherein, numeric keypad loader 1, voice prompting device 2, LED digital displays 3, indicator lamp 4, power switch button 5, interconnection
Network interface 6, power line 7, iris capturing device 8, microprocessor 9, radio frequency card reader 10, miniature memory bar belong to brushing card device
A part, brushing card device powered by power line 7, is passed through internet interface 6 and is realized company with school's Finance Center server
Connect.Wherein, iris capturing device 8 includes infrared camera, and lens barrel, optical tube length is 10cm.School's Finance Center server and teacher
Raw iris includes iris feature storehouse and IC accounts storehouse with IC-card account database, and iris feature storehouse includes being used to identify whole school's teaching job
The characteristic vector of work and student's iris information and numbered with the one-to-one iris of characteristic vector；IC account Ku Kuo whole school teaching and administrative staffs
And IC-card coding of accounts, name, registration photograph, consumption information and the charging information of student, iris numbering and IC-card coding of accounts phase
It is mutually corresponding.
Carried as shown in figure 4, microprocessor includes iris image acquisition module, iris preprocessing module, iris feature
Modulus block, iris feature matching module.
As shown in figure 5, a kind of dining room based on iris recognition is swiped the card, procedure is as follows：
Step 1：Student or teacher queue up in dining room to be had meal, and dining room staff is dealt with by the input of numeric keypad loader
Food price.
Step 2：Gather paying person's eyes image.Microprocessor receive numeric keypad loader input deal with food valency
After lattice, control voice prompting device carries out voice message：Would you please just to iris capturing device lens barrel.Student is by eyes just to iris capturing
Device lens barrel, infrared camera auto-focusing simultaneously shoots eyes image, while the eyes image of shooting is converted into binary picture
After be sent to microprocessor and handled.
Step 3：Extract iris image.Carried out in the iris image acquisition module of the process in the microprocessor.Using changing
Circle detection algorithm after entering determines the border between pupil and iris, and the circle detection algorithm after improvement here refers to subtracting
Few searching position, other points of point with symmetrical feature are found out most preferably as Searching point, and an iteration only around selection
Center of circle ObestWith radius r, concretely comprise the following steps：
a：Binary system eyes image BW is inputted, is closed on apart from d；
b：Binary picture BW barycenter (α, β) is calculated, if center of circle O (α, β)；
c：Set possible searching position (α+i*d, β+j*d), i, j ∈ { -1,0,1 }；
The optimal center of circle and the radius of each searching position are asked for using center of circle detection algorithm, and essence is carried out using iterative method
Really, until when d is equal to 0, by obtained central coordinate of circle O (α, β), radius r as the optimal center of circle and radius, so that it is determined that pupil and
Border between iris, iris image is extracted from whole eyes image.
Iterative process is as follows：
If O=Obest, then d=d-1；
If d ≠ 0, continue application circle detection algorithm and calculate ObestWith radius r；
If d=0；Obtain central coordinate of circle O (α, β), radius r；
Circle detection method is as follows：
If the searching position in above-mentioned steps b is (xi, yi), it is considered to (xi, yi) it is the center of circle, r is that radius draws circle C.Examine
Consider any marginal point p=(x on Cc, yc), then with (xc, yc) it is the center of circle, r must pass through (x for the point of radiusi, yi).Find institute
The circle needed, can be using ballot decision-making technic (i.e. Hough transformation).In this process, a point is often judged on C, then will
Accumulator H (xc, yc, value r) adds 1, for n marginal point (xi, yi)：I=1,2,3 ..., n, definition
g(xc, yc, xi, yi, r)=(xi-xc)2+(yi-yc)2 (3)
Wherein, whether formula (3) is used to judge the point chosen in circle C, corresponding in the formula (1) during acquirement maximum
(xc, yc, r) it is center of circle transverse and longitudinal coordinate and radius.
Step 4：Iris image is normalized and CLAHE image enhaucaments.Iris preprocessing of the step in microprocessor
Carried out in module.Iris image is made into normalized, and does CLAHE (limitation contrast self-adapting histogram equilibrium) image increasing
Strength is managed, to obtain more characteristic points.
Step 5：Iris image feature is extracted, using generating characteristic vector after laplace arithmetic operators optimizations.The process is in Wei Chu
Manage in the iris feature extraction module of device and carry out, what the algorithm was realized in：
Build a point X (i, j) in integral image I, given image I, at point X, Hessian matrixes
Wherein Lxx(X, σ) is Gauss second-order differentialWith image I convolution, L at point xxy(X, σ) isWith image I convolution, L at point xyy(X, σ) is Gauss second-order differentialWith image I volume at point x
Product.
Hessian determinants of a matrix det (H) is used to search characteristic point.
Processing is optimized to characteristic point with Laplace operator again.F (x, y) represents characteristic point
Finally want construction feature point to describe operator, characteristic point side is determined by calculating the Haar wavelet transformations of characteristic point
To taking a rectangular area around each characteristic point, rectangular area be divided into 4*4 by specific direction centered on characteristic point
Individual sub-block, then can calculate feature point description operator V per sub-regions by following formula：
V=[∑ dx, ∑ dy, ∑ | dx |, ∑ | dy |] (6)
Wherein dx, dy are x respectively, and y small echo is responded, therefore, and the length of the characteristic vector of each point of interest is 4*4*4=
64。
Step 6：Characteristic vector is matched with iris numbering, correspondence IC-card account is performed and deducts fees.The process is in school's finance
Completed in central server.School's Finance Center server is received after characteristic vector, calls teachers and students' iris and IC-card account
Information in database is matched to characteristic vector.Judge whether matching when, by calculate two characteristic vectors Euclidean away from
From matching degree is determined, Euclidean distance is shorter, the matching degree for representing two characteristic points is better.Minimum fusion rule is applied to obtain
Distance vector, with obtain with everyone iris feature Vectors matching fraction in database, fraction and the threshold of setting will be matched
Value is compared, and then thinks that the match is successful more than the threshold value.After the match is successful, one iris numbering of this feature vector correspondence,
Due to iris numbering and IC-card coding of accounts existence anduniquess corresponding relation, therefore the IC for obtaining consumer can be numbered according to iris
Card coding of accounts, deducts fees so as to be performed under the account.After deducting fees successfully, school's Finance Center server will deduct fees successful information
Microprocessor is fed back to, microprocessor shows spending amount and remaining sum in card into LED digital displays, while and voice message
Swipe the card success.
It should be appreciated that for those of ordinary skills, can according to the above description be improved or converted,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (10)
- A kind of method 1. dining room based on iris recognition is swiped the card, it is characterised in that：Food price is dealt with input；Gather the image of the whole eye of paying person；Required iris image is extracted from the whole eyes image collected；Iris image feature is extracted from the iris image, and characteristic vector is generated according to iris image feature；By the characteristic vector of generation and teachers and students' iris with including whole school teaching and administrative staff and student's iris information in IC-card account database Iris feature storehouse be compared, find out corresponding iris numbering；Numbered, compiled from teachers and students' iris IC-card account corresponding with being found out in the IC accounts storehouse in IC-card account database according to iris Number, and perform and deduct fees under the corresponding account of the IC-card coding of accounts according to the food price of dealing with of input.
- The method 2. dining room as claimed in claim 1 based on iris recognition is swiped the card, it is characterised in that teachers and students' iris and IC Card account database is included：Iris feature storehouse：Including for identify the characteristic vector of whole school teaching and administrative staff and student's iris information and with characteristic vector one by one Corresponding iris numbering；IC accounts storehouse：IC-card coding of accounts, name including whole school teaching and administrative staff and student, registration are shone, consumption information and supplement letter with money Breath；The iris numbering is mutually corresponding with IC-card coding of accounts.
- The method 3. dining room as claimed in claim 1 based on iris recognition is swiped the card, it is characterised in that from the whole eye collected Required iris image is extracted in portion's image, its process is as follows：Step 1：Binary system eyes image BW is inputted, is closed on apart from d；Step 2：Binary picture BW barycenter (α, β) is calculated, if center of circle O (α, β)；Step 3：Set possible searching position (α+i*d, β+j*d), i, j ∈ { -1,0,1 }；The optimal center of circle and the radius of each searching position are asked for using center of circle detection algorithm, and is carried out accurately, directly using iterative method When being equal to 0 to d, by obtained central coordinate of circle O (α, β), radius r is as the optimal center of circle and radius, so that it is determined that pupil and iris Between border, iris image is extracted from whole eyes image.
- The method 4. dining room as claimed in claim 1 based on iris recognition is swiped the card, it is characterised in that：Extract required iris After image, the iris image is made into normalized, and do CLAHE image enhancement processings.
- The method 5. dining room as claimed in claim 1 based on iris recognition is swiped the card, it is characterised in that：From the iris image Extract after iris image feature, optimization processing is made to the characteristic point of extraction using laplace operators.
- 6. a kind of dining room card-punching system based on iris recognition, it is characterised in that including：Numeric keypad loader：For dealing with food price for dining room staff input, and food price is dealt with into input Send to microprocessor；Iris capturing device：For intercepting the image of the whole eye of paying person, and it is sent to microprocessor；Teachers and students' iris and IC-card account database：For store mark whole school teaching and administrative staff and student's iris information characteristic vector, Shine, consume with characteristic vector one-to-one iris numbering, whole school teaching and administrative staff and the IC-card coding of accounts of student, name, registration Information and charging information；Microprocessor：For extracting required iris image from the whole eyes image collected, carried from iris image Iris image feature is taken, and characteristic vector is generated according to iris image feature, and the characteristic vector of generation is sent to school's wealth Business central server, and the presentation of information of deducting fees received is exported；School's Finance Center server：For calling teachers and students' iris to be carried out with IC-card account database to the characteristic vector received Matching, and corresponding IC-card account is deducted fees after the match is successful, and the feedback of the information that will deduct fees is to microprocessor.
- 7. a kind of dining room card-punching system based on iris recognition as claimed in claim 6, it is characterised in that the microprocessor Including：Iris image acquisition module：Required iris image is extracted from the whole eyes image collected；Iris feature extraction module：Generated for extracting iris image feature from iris image, and according to iris image feature Characteristic vector；Iris feature matching module：For characteristic vector and teachers and students' iris for calling to be compared with IC-card account database, Realize characteristic vector and matching that iris is numbered.
- 8. a kind of dining room card-punching system based on iris recognition as claimed in claim 7, it is characterised in that the microprocessor Also include：Iris preprocessing module, the iris preprocessing module is used to make at normalization the iris image Reason, and do CLAHE image enhancement processings.
- 9. a kind of dining room card-punching system based on iris recognition as claimed in claim 6, it is characterised in that：One kind is based on iris The dining room card-punching system of identification also includes radio frequency card reader, and the radio frequency card reader is used to common mess card is identified.
- 10. a kind of dining room card-punching system based on iris recognition as claimed in claim 6, it is characterised in that one kind is based on rainbow The dining room card-punching system of film identification also includes：LED digital displays：For the presentation of information of deducting fees received to be exported；Miniature memory bar：Temporarily stored for the iris image to being obtained in microprocessor calculating process, characteristic vector；Language prompting apparatus：For exporting successfully voice message of deducting fees according to the control instruction of microprocessor；Indicator lamp：For showing power supply, networking and consumption status.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108347490A (en) * | 2018-04-25 | 2018-07-31 | 衢州龙瀚计算机科技有限公司 | A kind of campus application apparatus and system based on biological identification technology |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1584915A (en) * | 2004-06-15 | 2005-02-23 | 沈阳工业大学 | Human iris identifying method |
| US20060008124A1 (en) * | 2004-07-12 | 2006-01-12 | Ewe Hong T | Iris image-based recognition system |
| CN1928886A (en) * | 2006-06-27 | 2007-03-14 | 电子科技大学 | Iris identification method based on image segmentation and two-dimensional wavelet transformation |
| US20070160266A1 (en) * | 2006-01-11 | 2007-07-12 | Jones Michael J | Method for extracting features of irises in images using difference of sum filters |
| CN101916362A (en) * | 2010-05-28 | 2010-12-15 | 深圳大学 | Iris positioning method and iris identification system |
| CN202929764U (en) * | 2012-10-12 | 2013-05-08 | 成都掌握移动信息技术有限公司 | Balance account consuming machine based on iris identification |
| CN106022782A (en) * | 2016-07-13 | 2016-10-12 | 孙智博 | Iris payment system |
| CN106326841A (en) * | 2016-08-12 | 2017-01-11 | 合肥虹视信息工程有限公司 | Quick iris recognition algorithm |
-
2017
- 2017-07-20 CN CN201710597360.8A patent/CN107195079A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1584915A (en) * | 2004-06-15 | 2005-02-23 | 沈阳工业大学 | Human iris identifying method |
| US20060008124A1 (en) * | 2004-07-12 | 2006-01-12 | Ewe Hong T | Iris image-based recognition system |
| US20070160266A1 (en) * | 2006-01-11 | 2007-07-12 | Jones Michael J | Method for extracting features of irises in images using difference of sum filters |
| CN1928886A (en) * | 2006-06-27 | 2007-03-14 | 电子科技大学 | Iris identification method based on image segmentation and two-dimensional wavelet transformation |
| CN101916362A (en) * | 2010-05-28 | 2010-12-15 | 深圳大学 | Iris positioning method and iris identification system |
| CN202929764U (en) * | 2012-10-12 | 2013-05-08 | 成都掌握移动信息技术有限公司 | Balance account consuming machine based on iris identification |
| CN106022782A (en) * | 2016-07-13 | 2016-10-12 | 孙智博 | Iris payment system |
| CN106326841A (en) * | 2016-08-12 | 2017-01-11 | 合肥虹视信息工程有限公司 | Quick iris recognition algorithm |
Non-Patent Citations (1)
| Title |
|---|
| 田启川: "虹膜识别原理及算法", 国防工业出版社, pages: 46 - 49 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108347490A (en) * | 2018-04-25 | 2018-07-31 | 衢州龙瀚计算机科技有限公司 | A kind of campus application apparatus and system based on biological identification technology |
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