CN106815564A - A kind of calibration method of fingerprint recognition system, system and a kind of electronic equipment - Google Patents
A kind of calibration method of fingerprint recognition system, system and a kind of electronic equipment Download PDFInfo
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- CN106815564A CN106815564A CN201611231399.XA CN201611231399A CN106815564A CN 106815564 A CN106815564 A CN 106815564A CN 201611231399 A CN201611231399 A CN 201611231399A CN 106815564 A CN106815564 A CN 106815564A
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- Prior art keywords
- pixel
- value
- reference value
- calibrated
- preset reference
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Classifications
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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
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
Abstract
The invention discloses a kind of calibration method of fingerprint recognition system, including：Obtain the identification signal of fingerprint sensor；Read it is described identification signal in pixel influence value, and the pixel total amount；Calculate the average value of the influence value of the pixel, or calculate the sensing ratio that influence value in the identification signal accounts for the total amount of the pixel less than the quantity of the pixel of the preset reference value；Judge whether the preset reference value of the pixel needs to be calibrated using the average value of the influence value of the pixel, or the sensing ratio；When judged result is calibrated for needs, the default a reference value is calibrated.By implementing the present invention, it is possible to increase to the accuracy of the judgement of fingerprint recognition system calibration.
Description
Technical field
The present invention relates to fingerprint identification technology field, more particularly to a kind of calibration method of fingerprint recognition system, system
And a kind of electronic equipment.
Background technology
Fingerprint recognition module can recognize identity by fingerprint, and the application in current electronic device is more and more extensive.
In use due to various, fingerprint recognition module is it is possible that the phenomenon of misalignment, it is therefore desirable to it
A reference value is calibrated.
In the prior art, it will usually fingerprint sensor a reference value is calibrated when electronic equipment is first powered on, or
When master control detects fingerprint sensor operation irregularity in system operation, sensor is resetted and a reference value is calibrated again.
But this calibrating mode is more bothered, and can not carry out real-time detection and calibration.
The content of the invention
The present invention solves the technical problem of providing, a kind of calibration method of fingerprint recognition system, system and one kind are electric
Sub- equipment, can improve the accuracy rate judged fingerprint signal.
In order to solve the above technical problems, the technical solution adopted by the present invention is：A kind of calibration of fingerprint recognition system is provided
Method, including：Obtain the identification signal of fingerprint sensor；The influence value of pixel in the identification signal is read, and it is described
The total amount of pixel；Influence value is less than institute in calculating the average value of the influence value of the pixel, or the calculating identification signal
State the pixel of preset reference value quantity account for the pixel total amount sensing ratio；Using the influence value of the pixel
Average value, or the sensing ratio judges whether the preset reference value of the pixel needs to be calibrated；Work as judged result
During to need to be calibrated, the default a reference value is calibrated.
Further, the average value of the influence value using the pixel, or the sensing ratio judges the picture
Whether the preset reference value of vegetarian refreshments needs to carry out calibration includes：Judge whether the average value is less than the described default base of pixel
Quasi- value, or judge the sensing ratio whether less than a preset ratio；It is described when judged result is calibrated for needs, to institute
Stating default a reference value and carrying out calibration includes：When the preset reference value of the average value less than pixel, or the sensing
When ratio is less than a preset ratio, the default a reference value is calibrated.
Wherein, the preset ratio is 60%.
Wherein, it is described the preset reference value is carried out calibration refer to by the preset reference value reset to it is described identification letter
The average value of pixel influence value described in number.
Further, the fingerprint sensor per task when be performed both by it is described acquisition fingerprint sensor identification signal and
Subsequent step.
In order to solve the above technical problems, the technical scheme that the present invention is used is again：A kind of school of fingerprint recognition system is provided
Barebone, including：Acquisition module, the identification signal for obtaining fingerprint sensor；Read module, for reading the identification letter
The influence value of pixel in number, and the pixel total amount；Computing module, the influence value for calculating the pixel
Influence value accounts for the pixel less than the quantity of the pixel of the preset reference value in average value, or the calculating identification signal
Total amount sensing ratio；Judge module, sentences for the average value of the influence value using the pixel, or the sensing ratio
Whether the preset reference value of the disconnected pixel needs to be calibrated；Calibration module, for being to need to carry out school when judged result
On time, the default a reference value is calibrated.
Further, the judge module is specifically for judging whether the average value is less than the described default base of pixel
Quasi- value, or judge the sensing ratio whether less than a preset ratio；The calibration module is specifically for small in the average value
When the preset reference value of pixel, or the sensing ratio are less than a preset ratio, the default a reference value is entered
Row calibration.
Wherein, the preset ratio is 60%.
In order to solve the above technical problems, the technical scheme that the present invention is used again is：A kind of electronic equipment is provided, including：Refer to
Line sensor, processor and memory；
The processor is used to read the influence value of pixel in the identification signal that the fingerprint sensor is obtained, Yi Jisuo
The total amount of pixel is stated, and calculates the average value of the influence value of the pixel, or influence value is small in the calculating identification signal
The quantity of the pixel of the preset reference value in the memory is stored in accounts for the sensing ratio of the total amount of the pixel, so
Afterwards using the pixel influence value average value, or the sensing ratio judge the pixel preset reference value whether
Needs are calibrated, and result is preserved to the memory.
Wherein, it is described the preset reference value is carried out calibration refer to by the preset reference value reset to it is described identification letter
The average value of pixel influence value described in number.
The beneficial effects of the invention are as follows：The situation of prior art is different from, the present invention is by using pixel influence value
The method of two conditional parallels of average value and sensing ratio judged, improves the accuracy for judging, and then can improve calibration
Accuracy rate.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the embodiment of calibration method one of fingerprint recognition system of the present invention；
Fig. 2 is the block schematic illustration of the embodiment of calibration system one of fingerprint recognition system of the present invention；
Fig. 3 is the structural representation of the embodiment of electronic equipment of the present invention.
Specific embodiment
Refer to Fig. 1, the embodiment of calibration method one of fingerprint recognition system of the present invention, including：
S110, obtains the identification signal of fingerprint sensor；
Specifically, in fingerprint recognition system of the user using electronic equipment, fingerprint sensor senses that fingerprint is believed first
Number, realize the automatic data collection to fingerprint signal.
The total amount of S120, the influence value of pixel in reading identification signal, and pixel；
Wherein, the influence value of pixel specifically refer to that sensor sensed corresponding to used in fingerprint recognition system
Fingerprint sensor ADC values in the range of some value.
The total amount of pixel is the quantity of the pixel that fingerprint sensor is sensed.
S130, influence value is less than preset reference value in calculating the average value of the influence value of pixel, or calculating identification signal
Pixel quantity account for pixel total amount sensing ratio；
Wherein, the influence value of each pixel that the average value of the influence value of pixel will be obtained is added, then divided by picture
The quantity of vegetarian refreshments.
Default a reference value is being pre-set before this is using fingerprint recognition system with pixel influence value
Corresponding a reference value, it can be understood as the influence value in ideal.Wherein default a reference value is a numerical value in certain scope,
This scope is specifically determined that for example when sensor is 5, this scope is 0~31 in itself by sensor, when being 8, model
It is 0~255 to enclose, and when being 12, scope is 0~4095 etc..
S140, using the average value of the influence value of pixel, or sensing ratio judge pixel preset reference value whether
Needs are calibrated；
Judge the average value of influence value, or whether sensing ratio meets corresponding certain condition respectively, when any in the two
It is individual or two simultaneously when meeting, that is, it is judged as that needs are calibrated.
Alternatively, step S140 includes：
Judge whether average value is less than the preset reference value of pixel, or judge sensing ratio whether less than a default ratio
Example；
Wherein, preset ratio can be set to different values according to different situations, and in the present embodiment, preset ratio is
60%.
Ground is readily appreciated that, when preset reference value of the average value less than pixel, or sensing ratio ratio default less than is judged
During example, illustrate that fingerprint signal that fingerprint sensor is sensed cannot reuse a reference value of current preset and obtain accordingly
Fingerprint image, being currently likely to occur has water on fingerprint sensor, or other influence fingerprint sensors are to fingerprint signal recognition
Factor is present can further be recognized, it is necessary to carry out calibration to default a reference value.
S150, when judged result is calibrated for needs, calibrates to default a reference value.
It refers to that pixel influence value is put down during preset reference value is reset into identification signal that preset reference value calibrate
Average, can also be that default a reference value is reset into other preset values in other application scene, be not specifically limited herein.
Alternatively, step S150 includes：
When preset reference value of the average value less than pixel, or sensing ratio are less than a preset ratio, to default base
Quasi- value is calibrated.
Wherein, in the present embodiment, fingerprint sensor per task when can perform above-mentioned steps so that whenever user makes
Used time, all the fingerprint signal for obtaining can be detected, calculated and judged, while when needing to be calibrated to fingerprint recognition
System is calibrated.Certainly, only can also in particular cases be performed at some in other application scene.
By the above method, when user uses fingerprint recognition system, specifically fingerprint sensor identification fingerprint signal it
Afterwards, before being converted to fingerprint image, the fingerprint signal recognized using fingerprint sensor carries out series of computation, then according to calculating
As a result whether judged result meets calibration condition, and default a reference value is calibrated when meeting.The present invention real-time can be obtained
Fingerprint recognition system is detected and is judged, because these programs were carried out before fingerprint image is obtained, therefore, in fingerprint
During sensor identification fingerprint, if having on fingerprint sensor, sweat is remained or change etc. of environment temperature causes the sensing of pixel
When value occurs abnormal, can first calibrate, the acquisition of fingerprint image then be carried out according to the preset reference value after calibration, from without shadow
Ring the normal of fingerprint recognition system to use, make fingerprint recognition more convenient.Meanwhile, this method is according to the influence value using pixel
Two conditions of average value and sensing ratio are judged that one condition of any of which meets requirement i.e. can be to fingerprint recognition simultaneously
System is calibrated, and then improves the accuracy rate of fingerprint recognition system calibration.
Refer to Fig. 2, the embodiment of calibration system one of fingerprint recognition system of the present invention, including：
Acquisition module 21, the identification signal for obtaining fingerprint sensor；
The total amount of read module 22, the influence value for reading pixel in identification signal, and pixel；
Computing module 23, influence value is less than in the average value of the influence value for calculating pixel, or calculating identification signal
The quantity of the pixel of preset reference value accounts for the sensing ratio of the total amount of pixel；
Judge module 24, the default of pixel is judged for the average value of the influence value using pixel, or sensing ratio
Whether a reference value needs is calibrated；
Calibration module 25, for when judged result is calibrated for needs, being calibrated to default a reference value.
Alternatively, judge module 24 is specifically for judging whether average value is less than the preset reference value of pixel, or judgement
Whether sensing ratio is less than a preset ratio, and in the present embodiment, preset ratio is 60%；Calibration module is specifically for average
When value is less than the preset reference value of pixel, or sensing ratio less than a preset ratio, default a reference value is calibrated.
By the implementation of above-described embodiment, acquisition module 21 obtains the identification signal of fingerprint sensor, and read module 22 is read
Take the influence value of pixel in identification signal, and pixel total amount, computing module 23 calculates the flat of the influence value of pixel
Influence value accounts for the sensing ratio of the total amount of pixel less than the quantity of the pixel of preset reference value in average, or calculating identification signal
Example, judge module 24 using pixel influence value average value, or sensing ratio judge pixel preset reference value whether
Needs are calibrated, and specifically, judge whether average value is less than the preset reference value of pixel, or judge whether sensing ratio is small
In a preset ratio, last calibration module 25 is calibrated when judged result is calibrated for needs to default a reference value,
Specifically, in preset reference value of the average value less than pixel, or when sensing ratio less than a preset ratio, to default benchmark
Value is calibrated, and then realizes real-time detection and the calibration of fingerprint recognition system, while two parallel detection sides of calibration condition
Formula improves the accuracy rate of fingerprint recognition system calibration to a certain extent.
Refer to Fig. 3, the embodiment of electronic equipment of the present invention, including：
Fingerprint sensor 31, processor 32 and memory 33；
Processor 32 is used for the influence value of pixel in the identification signal for read the acquisition of fingerprint sensor 31, and pixel
Total amount, and calculate the average value of the influence value of pixel, or calculate in identification signal influence value less than being stored in memory 33
In preset reference value pixel quantity account for pixel total amount sensing ratio, then using the influence value of pixel
Average value, or sensing ratio judges whether the preset reference value of pixel needs to be calibrated, and result is preserved to memory
33。
Wherein, in the present embodiment, preset reference value is carried out calibration refer to by preset reference value reset to identification signal in
The average value of pixel influence value.
Electronic equipment in the present embodiment can be realized to fingerprint recognition system when its fingerprint recognition system is operated
Synchronous calibration, it is to avoid need to again restart system to be calibrated brought inconvenience when system operation occurs abnormal, while
Using the influence value average value and sensing two calibration condition parallel forms of ratio of pixel, the accuracy rate of judgement is improve,
And then improve the accuracy rate calibrated to fingerprint recognition system in electronic equipment.
Embodiments of the present invention are these are only, the scope of the claims of the invention is not thereby limited, it is every using the present invention
Equivalent structure or equivalent flow conversion that specification and accompanying drawing content are made, or directly or indirectly it is used in other related technologies
Field, is included within the scope of the present invention.
Claims (10)
1. a kind of calibration method of fingerprint recognition system, it is characterised in that including：
Obtain the identification signal of fingerprint sensor；
Read it is described identification signal in pixel influence value, and the pixel total amount；
Influence value is less than the preset reference in calculating the average value of the influence value of the pixel, or the calculating identification signal
The quantity of the pixel of value accounts for the sensing ratio of the total amount of the pixel；
Judge that the preset reference value of the pixel is using the average value of the influence value of the pixel, or the sensing ratio
No needs are calibrated；
When judged result is calibrated for needs, the default a reference value is calibrated.
2. method according to claim 1, it is characterised in that the average value of the influence value using the pixel,
Or the sensing ratio judges whether the preset reference value of the pixel needs to carry out calibration to include：
Judge whether the average value is less than the preset reference value of pixel, or judge the sensing ratio whether less than one
Preset ratio；
It is described when judged result is calibrated for needs, carrying out calibration to the default a reference value includes：
It is right when the preset reference value of the average value less than pixel, or the sensing ratio are less than a preset ratio
The default a reference value is calibrated.
3. method according to claim 2, it is characterised in that
The preset ratio is 60%.
4. the method according to any one of claims 1 to 3, it is characterised in that
It is described the preset reference value is carried out calibration refer to by the preset reference value reset to it is described identification signal described in
The average value of pixel influence value.
5. the method according to any one of Claims 1-4, it is characterised in that
The identification signal and subsequent step of the acquisition fingerprint sensor are performed both by when the fingerprint sensor is per task.
6. a kind of calibration system of fingerprint recognition system, it is characterised in that including：
Acquisition module, the identification signal for obtaining fingerprint sensor；
The total amount of read module, the influence value for reading pixel in the identification signal, and the pixel；
Influence value is small in computing module, the average value of the influence value for calculating the pixel, or calculating the identification signal
The sensing ratio of the total amount of the pixel is accounted in the quantity of the pixel of the preset reference value；
Judge module, the pixel is judged for the average value of the influence value using the pixel, or the sensing ratio
Preset reference value whether need to be calibrated；
Calibration module, for when judged result is calibrated for needs, being calibrated to the default a reference value.
7. system according to claim 5, it is characterised in that
The judge module specifically for judge the average value whether less than pixel the preset reference value, or judge institute
Whether sensing ratio is stated less than a preset ratio；
The calibration module is specifically in the preset reference value of the average value less than pixel, or the sensing ratio
During less than a preset ratio, the default a reference value is calibrated.
8. system according to claim 6, it is characterised in that
The preset ratio is 60%.
9. a kind of electronic equipment, it is characterised in that including：
Fingerprint sensor, processor and memory；
The processor is used to read the influence value of pixel in the identification signal that the fingerprint sensor is obtained, and the picture
The total amount of vegetarian refreshments, and the average value of the influence value of the pixel is calculated, or influence value is less than guarantor in the calculating identification signal
The quantity of the pixel of the preset reference value being stored in the memory accounts for the sensing ratio of the total amount of the pixel, Ran Houli
Judge whether the preset reference value of the pixel needs with the average value of the influence value of the pixel, or the sensing ratio
Calibrated, and result is preserved to the memory.
10. electronic equipment according to claim 9, it is characterised in that
It is described the preset reference value is carried out calibration refer to by the preset reference value reset to it is described identification signal described in
The average value of pixel influence value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611231399.XA CN106815564A (en) | 2016-12-28 | 2016-12-28 | A kind of calibration method of fingerprint recognition system, system and a kind of electronic equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611231399.XA CN106815564A (en) | 2016-12-28 | 2016-12-28 | A kind of calibration method of fingerprint recognition system, system and a kind of electronic equipment |
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| CN106815564A true CN106815564A (en) | 2017-06-09 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109948491A (en) * | 2019-03-11 | 2019-06-28 | Oppo广东移动通信有限公司 | The judgment method and relevant apparatus of fingerprint calibration |
| WO2019200529A1 (en) * | 2018-04-17 | 2019-10-24 | 深圳市汇顶科技股份有限公司 | Image processing method and apparatus, and electronic device |
| CN113282317A (en) * | 2019-06-18 | 2021-08-20 | Oppo广东移动通信有限公司 | Optical fingerprint parameter upgrading method and related product |
| US11410412B2 (en) | 2020-01-21 | 2022-08-09 | Egis Technology Inc. | Anti-counterfeiting method and system for under-screen fingerprint identification |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004171551A (en) * | 2002-11-06 | 2004-06-17 | Chuo Spring Co Ltd | Fingerprint collation device and fingerprint image evaluation method |
| JP2006072554A (en) * | 2004-08-31 | 2006-03-16 | Secom Co Ltd | Fingerprint input image judgment processing device and fingerprint collation device |
| CN102193682A (en) * | 2011-05-30 | 2011-09-21 | 苏州瀚瑞微电子有限公司 | Method for automatically calibrating touch screen in GUI (graphical user interface) |
| CN102456134A (en) * | 2010-10-28 | 2012-05-16 | 拉碧斯半导体株式会社 | Fingerprint authentication device and computer readable medium |
| CN102707827A (en) * | 2011-02-28 | 2012-10-03 | 摩托罗拉移动公司 | Electronic device and method for calibration of a touch screen |
| CN104700070A (en) * | 2015-01-13 | 2015-06-10 | 深圳市汇顶科技股份有限公司 | Fingerprint sensor and correction method thereof |
| CN105094434A (en) * | 2015-08-12 | 2015-11-25 | 江苏惠通集团有限责任公司 | Gesture recognition environment calibration method and system and electronic device |
| CN105740753A (en) * | 2014-12-12 | 2016-07-06 | 比亚迪股份有限公司 | Fingerprint identification method and fingerprint identification system |
| CN106250883A (en) * | 2016-08-26 | 2016-12-21 | 广东欧珀移动通信有限公司 | Pressure fingerprint identification method, device and terminal unit |
-
2016
- 2016-12-28 CN CN201611231399.XA patent/CN106815564A/en not_active Withdrawn
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004171551A (en) * | 2002-11-06 | 2004-06-17 | Chuo Spring Co Ltd | Fingerprint collation device and fingerprint image evaluation method |
| JP2006072554A (en) * | 2004-08-31 | 2006-03-16 | Secom Co Ltd | Fingerprint input image judgment processing device and fingerprint collation device |
| CN102456134A (en) * | 2010-10-28 | 2012-05-16 | 拉碧斯半导体株式会社 | Fingerprint authentication device and computer readable medium |
| CN102707827A (en) * | 2011-02-28 | 2012-10-03 | 摩托罗拉移动公司 | Electronic device and method for calibration of a touch screen |
| CN102193682A (en) * | 2011-05-30 | 2011-09-21 | 苏州瀚瑞微电子有限公司 | Method for automatically calibrating touch screen in GUI (graphical user interface) |
| CN105740753A (en) * | 2014-12-12 | 2016-07-06 | 比亚迪股份有限公司 | Fingerprint identification method and fingerprint identification system |
| CN104700070A (en) * | 2015-01-13 | 2015-06-10 | 深圳市汇顶科技股份有限公司 | Fingerprint sensor and correction method thereof |
| CN105094434A (en) * | 2015-08-12 | 2015-11-25 | 江苏惠通集团有限责任公司 | Gesture recognition environment calibration method and system and electronic device |
| CN106250883A (en) * | 2016-08-26 | 2016-12-21 | 广东欧珀移动通信有限公司 | Pressure fingerprint identification method, device and terminal unit |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019200529A1 (en) * | 2018-04-17 | 2019-10-24 | 深圳市汇顶科技股份有限公司 | Image processing method and apparatus, and electronic device |
| CN109948491A (en) * | 2019-03-11 | 2019-06-28 | Oppo广东移动通信有限公司 | The judgment method and relevant apparatus of fingerprint calibration |
| CN113282317A (en) * | 2019-06-18 | 2021-08-20 | Oppo广东移动通信有限公司 | Optical fingerprint parameter upgrading method and related product |
| US11410412B2 (en) | 2020-01-21 | 2022-08-09 | Egis Technology Inc. | Anti-counterfeiting method and system for under-screen fingerprint identification |
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