CN109284725A - The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing - Google Patents
The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing Download PDFInfo
- Publication number
- CN109284725A CN109284725A CN201811160665.3A CN201811160665A CN109284725A CN 109284725 A CN109284725 A CN 109284725A CN 201811160665 A CN201811160665 A CN 201811160665A CN 109284725 A CN109284725 A CN 109284725A
- Authority
- CN
- China
- Prior art keywords
- iris
- result
- facial image
- face
- identification target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Ophthalmology & Optometry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Collating Specific Patterns (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention provides the method and device of iris recognition, electronic equipment, readable storage medium storing program for executing.The method of the iris recognition includes: the facial image for obtaining identification target;The Face detection of the identification target is carried out according to the facial image;Iris Location is carried out according to the result of the Face detection;After Iris Location, the iris image of the identification target is obtained;The iris image is identified;Recognition result is compared with the characteristic in presetting database, obtains iris comparison result.For the method by Face detection in conjunction with iris recognition, when identification, does not need user actively focusing, contraposition, improves user experience, enhances the practicability of iris recognition.
Description
Technical field
The present invention relates to field of computer technology, set in particular to a kind of method and device of iris recognition, electronics
Standby, storage medium.
Background technique
Iris recognition is a kind of identification technology identified using iris feature, and iris recognition is widely used in public peace
Entirely, multiple scenes for needing identification such as online recognition, access control system.
Existing iris recognition technology, in Iris Location, needs user to cooperate with iris on one's own initiative and takes the photograph using iris recognition
As head contraposition, user experience is poor, not very practical.
Summary of the invention
In order to overcome the deficiencies in the prior art described above, the present invention provides a kind of method and device of iris recognition, electronics
Equipment, readable storage medium storing program for executing.
To achieve the goals above, technical solution provided by the embodiment of the present invention is as follows:
In a first aspect, the present invention provides a kind of method of iris recognition, which comprises
Obtain the facial image of identification target;The Face detection of the identification target is carried out according to the facial image;Root
Iris Location is carried out according to the result of the Face detection;After Iris Location, the iris image of the identification target is obtained;To institute
Iris image is stated to be identified;Recognition result is compared with the characteristic in presetting database, iris is obtained and compares knot
Fruit.
Further, before recognition result is compared with the characteristic in presetting database, the method is also
Include:
The dominant character of the identification target is determined according to the facial image;According to the dominant character to described default
Characteristic in database carries out data screening;Recognition result is compared with the characteristic in presetting database, is wrapped
It includes: the recognition result is compared with the characteristic in the presetting database after screening.
Further, before the Face detection for carrying out the identification target according to the facial image, the method is also
Include:
The distance between the equipment and the identification target of detection acquisition facial image value;Determine that the distance value exists
In first preset range;After recognition result is compared with the characteristic in presetting database, the method also includes:
Final recognition result is determined according to the iris comparison result.
Further, at a distance from the equipment of the detection acquisition facial image is between the identification target after value,
The method also includes:
When the distance value is in the second preset range, face characteristic comparison is carried out according to the facial image, is obtained
Face alignment result;Wherein, any distance value in second preset range is greater than any in first preset range
Distance value;Final recognition result is determined according to the iris comparing result and the face alignment result.
Further, at a distance from the equipment of the detection acquisition facial image is between the identification target after value,
The method also includes:
When the distance value is in third preset range, face characteristic comparison is carried out according to the facial image, is obtained
Face alignment result;Wherein, any distance value in the third preset range is greater than any in second preset range
Distance value;Final recognition result is determined according to the face alignment result.
Further, include: to the Face detection for carrying out the identification target according to the facial image
Determine position of the face of the identification target in the facial image;According to the result of the Face detection into
Row Iris Location includes: that the shooting angle of iris camera is adjusted according to the position, so that the iris camera focusing arrives
Iris position on the position.
Second aspect, the present invention also provides a kind of device of iris recognition, described device includes:
Obtain module: for obtaining the facial image of identification target;Locating module: for being carried out according to the facial image
The Face detection of the identification target;And Iris Location is carried out according to the result of the Face detection;The acquisition module is also used
In: after Iris Location, obtain the iris image of the identification target;Processing module: for knowing to the iris image
Not;And recognition result is compared with the characteristic in presetting database, obtain iris comparison result.
Further, the processing module is also used to: the dominant spy of the identification target is determined according to the facial image
Sign carries out data screening to the characteristic in the presetting database according to the dominant character;
The recognition result is compared with the characteristic in the presetting database after screening.
The third aspect, the present invention also provides a kind of electronic equipment, the electronic equipment includes processor and memory, institute
It states memory and is stored with computer-readable instruction fetch, when the computer-readable instruction fetch is executed by the processor, operation
Such as the step in any one of first aspect the method.
Fourth aspect is stored with computer on the readable storage medium storing program for executing the present invention also provides a kind of readable storage medium storing program for executing
Program executes when the computer program is run by computer such as the step in any one of first aspect the method.
In conclusion the method and device of iris recognition provided by the invention is by carrying out rainbow according to the result of Face detection
Film positioning, then the identification of iris is carried out, and then obtain the result of iris comparison.By Face detection in conjunction with iris recognition, identification
Target is not needed actively to focus, be aligned, and is improved user experience, is enhanced the practicability of iris recognition.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, the embodiment of the present invention is cited below particularly, and match
Appended attached drawing is closed, is described in detail below.
Detailed description of the invention
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 appreciated that the following drawings illustrates only certain embodiments of the present invention, therefore it is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow chart of the method for iris recognition provided in an embodiment of the present invention;
Fig. 2 is the first embodiment schematic diagram of the method for iris recognition provided in an embodiment of the present invention;
Fig. 3 is the structural schematic diagram of the device of iris recognition provided in an embodiment of the present invention;
Fig. 4 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.Obviously, described embodiment is only a part of the embodiments of the present invention, instead of all the embodiments.It is logical
The component for the embodiment of the present invention being often described and illustrated herein in the accompanying drawings can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
With reference to the accompanying drawing, it elaborates to some embodiments of the present invention.In the absence of conflict, following
Feature in embodiment and embodiment can be combined with each other.
Fig. 1 is please referred to, is the method flow diagram of iris recognition provided by the invention, the method can be applied to need body
The scene of part verifying, the result according to iris recognition carry out authentication.The method includes the steps 110, steps 120, step
130, step 140, step 150 and step 160.
Step 110: obtaining the facial image of identification target.
Step 120: the Face detection of the identification target is carried out according to the facial image.
Step 130: Iris Location is carried out according to the result of the Face detection.
Step 140: after Iris Location, obtaining the iris image of the identification target.
Step 150: the iris image is identified.
Step 160: recognition result being compared with the characteristic in presetting database, obtains iris comparison result.
The implementing procedure of step 110- step 160 is described in detail below.
In step 110, the facial image for obtaining target can be by being arranged common face camera, such as RGB
(Red Green Blue) camera.The camera can obtain the facial image of identification target in real time, control the face
Camera is tracked the facial image that can get the identification target to face, it should be noted that the face figure
As the image to contain the face image of identification target.
After executing step 110, step 120 is executed, the face for carrying out the identification target according to the facial image is fixed
Position.The process of Face detection is the process of determining face location, after Face detection, can obtain facial image.Step 120
A kind of optional embodiment are as follows: determine position of the face of the identification target in the facial image.Step 120 can also
Face camera is accurately positioned to the face location on the facial image by the shooting angle for adjusting face camera.
After executing step 120, step 130 is executed, Iris Location is carried out according to the result of the Face detection.Because
After executing step 120, be equivalent to the position for having determined that face, and iris be on face, therefore can be based on described
The result of Face detection determines the position of iris.A kind of optional embodiment of step 130 are as follows: iris is adjusted according to the position
The shooting angle of camera, so that the iris position on the iris camera focusing to the position.Wherein, the iris position
Setting is the annular formations being located between the black pupil and white sclera of eye.
Relative to Iris Location is directly carried out, step 130 carries out Iris Location by the positioning result of face auxiliary, can be with
Fast and accurately complete Iris Location.Because the user usually needs to actively go focusing to align, and leading to during Iris Location
Step 130 is crossed, automatic Iris Location is realized, the user experience is improved spends.
After executing step 130, step 140 is executed, obtains the iris image of the identification target.It is understood that
The position of iris is had determined that in step 130, therefore can control the iris camera shooting present image, as iris
Image.
For the iris image and the facial image, it is to be understood that the iris image is black and white, described
Facial image is colored.During identification, the iris image and the facial image can also be shown.Because described
Iris image is obtained based on the facial image, so it is to be overlapped that the iris image of display, which is with the facial image,
, the image for the display that user sees is also colored, better user experience.
After executing step 140, step 150 is executed, the iris image is identified.The iris image is known
Other process may include: first to pre-process to the iris image, and pretreated process may include: iris image normalizing
Change: the iris image being adjusted to fixed dimension, facilitates extraction feature;Image enhancement: it for the image after normalization, carries out
Brightness, contrast and smoothness etc. reason, improve the discrimination of iris information in image;Feature extraction: specific algorithm is taken
Characteristic point required for iris is extracted from the iris image, forms characteristic to be compared, characteristic to be compared can
In the form of being such as coding.Wherein, it is thin to can be interlaced spot, filament, coronal, striped, crypts etc. for the feature
Save feature.
After executing the step 150, step 160 is executed, the characteristic in recognition result and presetting database is carried out
It compares, obtains the result of iris comparison.Step 160 is the equal of the process of a characteristic matching, for the identification target
Iris feature is collected in advance, and is stored in preset database.By the characteristic to be compared and the feature
Data are matched one by one, to judge whether it is identical iris, judging result is then that iris compares as a result, to realize body
Part identification.
When executing step 160, a large amount of data, identification provided by the present invention are contained in the preset database
Method can also improve comparison efficiency using recognition of face, therefore, before executing step 160, the recognition methods further include:
The dominant character of the identification target is determined according to the facial image;According to the dominant character in the presetting database
Characteristic carry out data screening.The optional embodiment of step 160: by the recognition result with screening after it is described pre-
If the characteristic in database is compared.
Wherein, the dominant character may include: the external dominant characters such as age, gender, the ethnic group of the identification target.
The dominant character can carry out face alignment according to the facial image, be contained in the result of face alignment to described aobvious
The result of the judgement of property feature.These dominant characters can also be stored in the presetting database in iris recognition preset data
In.By carrying out data screening to characteristic according to the dominant character, data can be carried out with rough positioning, citing comes
It says, before screening, the ratio of comparison is 1:N, and after screening, the quantity of N can reduce, to reduce the quantity of iris comparison, is mentioned
The comparison speed of high iris.By taking authentication as an example, user determines the process phase of the dominant character when carrying out authentication
When then obtaining user information, the process of screening is the equal of carrying out the filtering of user information.
Since in iris comparison, Iris Location is easy to be influenced by distance, when being closer, the result of iris recognition
Accurately, it can be used as recognition result;When apart from moderate, the result of iris recognition is more accurate, can also be used as recognition result
Reference;But when apart from farther out, the result referential of iris recognition is not high, is not suitable as recognition result.Therefore, it is executing
It, can be with detecting distance, to determine final recognition result according to the distance detected before step 120.
Optionally, before executing step 120, the method also includes: detection obtain the equipment of the facial image with
The distance between described identification target value.The embodiment of detection may is that by the way that range sensor, detection and the knowledge is arranged
The distance between other target value.Can also for example, by infrared distance measurement or other be able to detect distance devices detection it is described away from
From value.
Based on the difference of the distance value, the present invention provides three kinds of optional embodiments, with the identification knot that determination is final
Fruit.It, can be with the default result form of expression for the recognition result.Such as in authentication, the result of the iris comparison
Correctly or mistake can be identified for identification, when the result is to identify correct, expression passes through authentication;When the result
When wrong for identification, expression does not pass through authentication.
The first optional embodiment: after detecting the distance value, determine the distance value in the first preset range
It is interior.After executing step 160, final recognition result is determined according to the iris comparison result.
In the first embodiment, first preset range is the lesser range of the distance value, is represented
In the lesser situation of distance value, the result that iris of being subject to compares, as final recognition result.
Second of optional embodiment: after detecting the distance, in the distance value in the second preset range
When, face characteristic comparison is carried out according to the facial image, obtains face alignment result.After executing step 160, according to described
Iris comparing result and the face alignment result determine final recognition result.
Wherein, any distance value in second preset range is greater than any distance in first preset range
Value, represents the distance value in second preset range as moderate distance value, can be to the people when distance value is moderate
Face image carries out face alignment, obtains a face comparison result, the iris comparison result and the face alignment result are all
It can be used as final recognition result.
It, can be in the iris comparison result and the people by taking authentication as an example in the final recognition result of determination
Face comparison result is all that when identifying correct, could pass through authentication;It is also possible to the iris comparison result and the face
As soon as passing through authentication as long as having correct for identification in comparison result.
The third optional embodiment: after detecting the distance, in the distance value in third preset range
When, face characteristic comparison is carried out according to the facial image, obtains face alignment result.After executing step 160, according to described
Face alignment result determines final recognition result.
Wherein, any distance value in the third preset range is greater than any distance in second preset range
Value, represents the distance value in the third preset range as larger distance value.At this time based on face alignment, face is obtained
It is comparing that as a result, determining final recognition result according to the face alignment result, the i.e. result of face alignment is that identification is correct,
Authentication could be passed through.
First preset range, second preset range, the third preset range can be mentioned by user
It is preceding to be configured according to the characteristics of iris recognition and recognition of face with application scenarios.
In the specific implementation process, in conjunction with the description to three kinds of embodiments, the recognition methods is referred to such as Fig. 3
Shown in implementing procedure.
The optional embodiment of the first above-mentioned is the process 1 in figure, the third optional embodiment is in figure
Process 2, second of embodiment are the combination of the process 1 and process 2 in figure.It, can be with after detecting face in process 1
Understand, detects the distance value while detecting face, carry out the judgement of distance.When being closer, i.e., it is described away from
When from value in first preset range, assists carrying out iris recognition with Face detection, after Face detection, rotation can be passed through
Iris camera carries out Iris Location, and then acquires iris image, carries out iris comparison.During Face detection, with identity
For verifying, it can also realize and user information is obtained according to the dominant character, and then carry out the filtering of user information, in iris
Accelerate speed and efficiency that iris compares when comparison.Distance farther out when, i.e., the described distance value in the third preset range,
Face alignment can only be started.When apart from moderate, can simultaneously start-up course 1 and process 2, obtain corresponding comparison result.
After obtaining comparison result, the comparison result can be shown.
The recognition methods provided through the embodiment of the present invention, identification target do not need user actively focusing, contraposition, mention
High user experience enhances the practicability of iris recognition.
Referring to figure 3., the present invention also provides a kind of device 300 of iris recognition, the corresponding identification sides of described device 200
Method, described device 300 include obtaining module 301, locating module 302 and processing module 303.
It is described to obtain module 301: for obtaining the facial image of identification target.The locating module 302: for according to institute
State the Face detection that facial image carries out the identification target;And Iris Location is carried out according to the result of the Face detection.Institute
It states acquisition module 301 to be also used to: after Iris Location, obtaining the iris image of the identification target.The processing module 303:
For being identified to the iris image;And recognition result is compared with the characteristic in presetting database, it obtains
Iris comparison result.
Optionally, the processing module 303 is also used to: the dominant spy of the identification target is determined according to the facial image
Sign;Data screening is carried out to the characteristic in the presetting database according to the dominant character;By the recognition result with
The characteristic in the presetting database after screening is compared.
Optionally, described device 300 further includes detection module 304: for detect obtain the equipment of the facial image with
The distance between described identification target value;The processing module 303 is also used to determine the distance value in the first preset range;
Final recognition result is determined according to the iris comparison result.
Optionally, the processing module 303 is also used to: when the distance value is in the second preset range, according to described
Facial image carries out face characteristic comparison, obtains face alignment result;Wherein, any distance value in second preset range
Greater than any distance value in first preset range;It is determined according to the iris comparing result and the face alignment result
Final recognition result.
Optionally, the processing module 303 is also used to: when the distance value is in third preset range, according to described
Facial image carries out face characteristic comparison, obtains face alignment result;Wherein, any distance value in the third preset range
Greater than any distance value in second preset range;Final recognition result is determined according to the face alignment result.
Each module and the recognition methods in described device 300 are one-to-one, therefore for described device 300
The embodiment of each module be also it is corresponding, details are not described herein.
Referring to figure 4., the embodiment of the present invention also provides a kind of electronic equipment 400, and the electronic equipment 400 includes processor
401 and memory 402, the memory 402 be stored with computer-readable instruction fetch, when the computer-readable instruction fetch by
When the processor 401 executes, the step in recognition methods described above is run.
Wherein, the memory 402 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable
Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only
Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only
Memory, EEPROM) etc..
The processor 401 may be a kind of IC chip, the processing capacity with signal.The processor 401
It can be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit
(Network Processor, abbreviation NP) etc.;Can also be digital signal processor (DSP), specific integrated circuit (ASIC),
Ready-made programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hard
Part component.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor
It can be microprocessor or the processor be also possible to any conventional processor etc..
The embodiment of the present invention also provides a kind of readable storage medium storing program for executing, and computer journey is stored on the readable storage medium storing program for executing
Sequence, the computer program execute the step in recognition methods described above when being run by computer.
In conclusion the present invention provides a kind of method and device of iris recognition, by according to the result of Face detection into
Row Iris Location, then the identification of iris is carried out, and then obtain the result of iris comparison.By Face detection in conjunction with iris recognition,
Identification target does not need user actively focusing, contraposition, improves user experience, enhances the practicability of iris recognition.
In embodiment provided herein, it should be understood that disclosed device and method, it can also be by other
Mode realize.The apparatus embodiments described above are merely exemplary, for example, the flow chart and block diagram in attached drawing are shown
Device, the architectural framework in the cards of method and computer program product, function of multiple embodiments according to the present invention
And operation.In this regard, each box in flowchart or block diagram can represent one of a module, section or code
Point, a part of the module, section or code includes one or more for implementing the specified logical function executable
Instruction.It should also be noted that function marked in the box can also be attached to be different from some implementations as replacement
The sequence marked in figure occurs.For example, two continuous boxes can actually be basically executed in parallel, they sometimes may be used
To execute in the opposite order, this depends on the function involved.It is also noted that each of block diagram and or flow chart
The combination of box in box and block diagram and or flow chart can be based on the defined function of execution or the dedicated of movement
The system of hardware is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, laptop, server or network equipment etc.) execute the whole of each embodiment the method for the present invention
Or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.It should be noted that, in this document, relational terms such as first and second and the like are used merely to one
A entity or operation with another entity or operate distinguish, without necessarily requiring or implying these entities or operation it
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant are intended to
Cover non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or setting
Standby intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in the process, method, article or apparatus that includes the element.
The above description is only an embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of method of iris recognition, which is characterized in that the described method includes:
Obtain the facial image of identification target;
The Face detection of the identification target is carried out according to the facial image;
Iris Location is carried out according to the result of the Face detection;
After Iris Location, the iris image of the identification target is obtained;
The iris image is identified;
Recognition result is compared with the characteristic in presetting database, obtains iris comparison result.
2. the method according to claim 1, wherein by the characteristic in recognition result and presetting database
Before being compared, the method also includes:
The dominant character of the identification target is determined according to the facial image;
Data screening is carried out to the characteristic in the presetting database according to the dominant character;
Recognition result is compared with the characteristic in presetting database, comprising:
The recognition result is compared with the characteristic in the presetting database after screening.
3. the method according to claim 1, wherein carrying out the identification target according to the facial image
Before Face detection, the method also includes:
The distance between the equipment and the identification target of detection acquisition facial image value;
Determine the distance value in the first preset range;
After recognition result is compared with the characteristic in presetting database, the method also includes:
Final recognition result is determined according to the iris comparison result.
4. according to the method described in claim 3, it is characterized in that, obtaining the equipment and the knowledge of the facial image in detection
After the distance between other target value, the method also includes:
When the distance value is in the second preset range, face characteristic comparison is carried out according to the facial image, obtains face
Comparison result;Wherein, any distance value in second preset range is greater than any distance in first preset range
Value;
Final recognition result is determined according to the iris comparing result and the face alignment result.
5. according to the method described in claim 4, it is characterized in that, obtaining the equipment and the knowledge of the facial image in detection
After the distance between other target value, the method also includes:
When the distance value is in third preset range, face characteristic comparison is carried out according to the facial image, obtains face
Comparison result;Wherein, any distance value in the third preset range is greater than any distance in second preset range
Value;
Final recognition result is determined according to the face alignment result.
6. the method according to claim 1, wherein carrying out the identification target to according to the facial image
Face detection includes:
Determine position of the face of the identification target in the facial image;
Carrying out Iris Location according to the result of the Face detection includes:
The shooting angle that iris camera is adjusted according to the position, so that on the iris camera focusing to the position
Iris position.
7. a kind of device of iris recognition, which is characterized in that described device includes:
Obtain module: for obtaining the facial image of identification target;
Locating module: for carrying out the Face detection of the identification target according to the facial image;And it is fixed according to the face
The result of position carries out Iris Location;
The acquisition module is also used to: after Iris Location, obtaining the iris image of the identification target;
Processing module: for being identified to the iris image;And by the characteristic in recognition result and presetting database
It is compared, obtains iris comparison result.
8. device according to claim 7, which is characterized in that the processing module is also used to:
The dominant character that the identification target is determined according to the facial image, according to the dominant character to the preset data
Characteristic in library carries out data screening;
The recognition result is compared with the characteristic in the presetting database after screening.
9. a kind of electronic equipment, which is characterized in that including processor and memory, the memory is stored with computer-readable
Instruction fetch is run when the computer-readable instruction fetch is executed by the processor such as claim any in claim 1-6 institute
State the step in method.
10. a kind of readable storage medium storing program for executing, which is characterized in that be stored with computer program, the meter on the readable storage medium storing program for executing
It executes when calculation machine program is run by computer such as the step in any the method for claim 1-6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811160665.3A CN109284725A (en) | 2018-09-30 | 2018-09-30 | The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811160665.3A CN109284725A (en) | 2018-09-30 | 2018-09-30 | The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109284725A true CN109284725A (en) | 2019-01-29 |
Family
ID=65182726
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811160665.3A Pending CN109284725A (en) | 2018-09-30 | 2018-09-30 | The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109284725A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111354046A (en) * | 2020-03-30 | 2020-06-30 | 北京芯龙德大数据科技有限公司 | Indoor camera positioning method and positioning system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106096585A (en) * | 2016-06-29 | 2016-11-09 | 深圳市金立通信设备有限公司 | A kind of auth method and terminal |
CN106650632A (en) * | 2016-11-28 | 2017-05-10 | 深圳超多维科技有限公司 | Identity identification method and device, and electronic equipment |
CN107346419A (en) * | 2017-06-14 | 2017-11-14 | 广东欧珀移动通信有限公司 | Iris identification method, electronic installation and computer-readable recording medium |
CN107368783A (en) * | 2017-06-14 | 2017-11-21 | 广东欧珀移动通信有限公司 | Living body iris detection method, electronic installation and computer-readable recording medium |
-
2018
- 2018-09-30 CN CN201811160665.3A patent/CN109284725A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106096585A (en) * | 2016-06-29 | 2016-11-09 | 深圳市金立通信设备有限公司 | A kind of auth method and terminal |
CN106650632A (en) * | 2016-11-28 | 2017-05-10 | 深圳超多维科技有限公司 | Identity identification method and device, and electronic equipment |
CN107346419A (en) * | 2017-06-14 | 2017-11-14 | 广东欧珀移动通信有限公司 | Iris identification method, electronic installation and computer-readable recording medium |
CN107368783A (en) * | 2017-06-14 | 2017-11-21 | 广东欧珀移动通信有限公司 | Living body iris detection method, electronic installation and computer-readable recording medium |
Non-Patent Citations (3)
Title |
---|
JERU_D39E: "https://www.jianshu.com/p/d6507c5f99b0", 《用PYTHON识别人脸,表情,性别,颜值,人种...》 * |
VIEO: "https://blog.csdn.net/weixin_41803874/article/details/81201393", 《百度AI人脸检测实现性别、人种肤色、年龄检测PYTHON》 * |
南城北巷: "https://www.xianjichina.com/special/detail_335127.html", 《远距离虹膜和人脸融合识别技术实现真正意义的多模态》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111354046A (en) * | 2020-03-30 | 2020-06-30 | 北京芯龙德大数据科技有限公司 | Indoor camera positioning method and positioning system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11715329B2 (en) | Face verification method and apparatus | |
US9864756B2 (en) | Method, apparatus for providing a notification on a face recognition environment, and computer-readable recording medium for executing the method | |
US10726562B2 (en) | Video tracking method and device, and object recognition method and device | |
US10074029B2 (en) | Image processing system, image processing method, and storage medium for correcting color | |
US7873189B2 (en) | Face recognition by dividing an image and evaluating a similarity vector with a support vector machine | |
RU2670798C1 (en) | Method of iris authentication of user and device therefor | |
US8559726B2 (en) | Image analysis based on pixel brightness grouping | |
KR20190075560A (en) | Liveness test method and apparatus | |
US8422746B2 (en) | Face authentication system and authentication method thereof | |
US10061996B1 (en) | Face recognition method and system for personal identification and authentication | |
US20070116364A1 (en) | Apparatus and method for feature recognition | |
US9704024B2 (en) | Object discriminating apparatus and method | |
US11651624B2 (en) | Iris authentication device, iris authentication method, and recording medium | |
CN107346419B (en) | Iris recognition method, electronic device, and computer-readable storage medium | |
US20170213074A1 (en) | Decoy-based matching system for facial recognition | |
CN108830184A (en) | Black eye recognition methods and device | |
CN112232368A (en) | Target recognition model training method, target recognition method and related device thereof | |
CN109284725A (en) | The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing | |
KR100909540B1 (en) | Image recognition error notification method and device | |
Rudinskaya et al. | Face detection accuracy study based on race and gender factor using haar cascades | |
Hasan et al. | Improving alignment of faces for recognition | |
TW201804368A (en) | Face recognition method | |
De Marsico et al. | Measuring measures for face sample quality | |
US20050129285A1 (en) | Collation system and computer readable medium storing thereon program | |
Ancha et al. | Combining deep learning and verification for precise object instance detection |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190129 |
|
RJ01 | Rejection of invention patent application after publication |