CN110378263A - Fingerprint identification method and Related product - Google Patents
Fingerprint identification method and Related product Download PDFInfo
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- CN110378263A CN110378263A CN201910610655.3A CN201910610655A CN110378263A CN 110378263 A CN110378263 A CN 110378263A CN 201910610655 A CN201910610655 A CN 201910610655A CN 110378263 A CN110378263 A CN 110378263A
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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
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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
- G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
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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
- G06V40/1365—Matching; Classification
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Abstract
The embodiment of the present application discloses a kind of fingerprint identification method and Related product, and the electronic equipment includes ultrasonic fingerprint identification mould group, and wherein method includes: to acquire at least one layer of fingerprint image data of target object when receiving fingerprint instruction to be collected；At least one layer of fingerprint image data is matched at least one layer of fingerprint image data of presetting module and determines matching result；When determining the matching result to match, fingerprint authentication success, execution and the successful corresponding operation of the fingerprint authentication are determined.It is fast using the embodiment of the present application recognition speed, improve user experience.
Description
Technical field
This application involves technical field of electronic equipment, and in particular to a kind of fingerprint identification method and Related product.
Background technique
With a large amount of popularization and applications of electronic equipment (such as mobile phone, tablet computer), what electronic equipment can be supported is answered
With more and more, function is stronger and stronger, and electronic equipment develops towards diversification, personalized direction, becomes in user's life
Indispensable appliance and electronic.
Fingerprint identification technology also becomes the standard configuration technology of electronic equipment, with the development of fingerprint identification technology, at present,
Ultrasonic fingerprint identification technology is increasingly by the favor of supplier, and still, ultrasonic fingerprint recognition speed is slow, influences user's body
Degree of testing.
Summary of the invention
The embodiment of the present application provides a kind of fingerprint identification method and Related product, and ultrasonic fingerprint identification can be improved
Speed improves user experience.
In a first aspect, the embodiment of the present application provides a kind of electronic equipment, the electronic equipment includes processing circuit, Yi Jiyu
The ultrasonic fingerprint of the processing circuit connection identifies mould group, wherein
The processing circuit, for when receiving fingerprint instruction to be collected, starting the ultrasonic fingerprint identification mould group；
The ultrasonic fingerprint identifies mould group, for acquiring at least one layer of fingerprint image data of target object；
The processing circuit, for by least one layer of fingerprint image of at least one layer of the fingerprint image data and presetting module
Sheet data, which matches, determines matching result, when determining the matching result to match, determines fingerprint authentication success, executes and the finger
Line is proved to be successful corresponding operation.
Second aspect provides a kind of fingerprint identification method, is applied to electronic equipment, the electronic equipment includes that ultrasonic wave refers to
Line identifies mould group；The described method includes:
When receiving fingerprint instruction to be collected, at least one layer of fingerprint image data of target object is acquired；
At least one layer of fingerprint image data is matched determining at least one layer of fingerprint image data of presetting module
With result；
When determining the matching result to match, fingerprint authentication success is determined, it is successfully right with the fingerprint authentication to execute
The operation answered.
The third aspect provides a kind of fingerprint identification device, is applied to electronic equipment, the electronic equipment includes that ultrasonic wave refers to
Line identifies mould group；Described device includes: acquiring unit, matching unit, execution unit, wherein
The acquiring unit identifies mould group for when receiving fingerprint instruction to be collected, passing through the ultrasonic fingerprint
Acquire at least one layer of fingerprint image data of target object；
The matching unit, for by least one layer of fingerprint image of at least one layer of the fingerprint image data and presetting module
Sheet data, which matches, determines matching result；
The execution unit, for when determining the matching result to match, determining fingerprint authentication success, execution and institute
State the corresponding operation of fingerprint authentication success.
Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure is included the steps that for executing the instruction in the embodiment of the present application second aspect.
5th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable
Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as
Step some or all of described in the embodiment of the present application second aspect.
6th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product
Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate
Machine executes the step some or all of as described in the embodiment of the present application second aspect.The computer program product can be one
A software installation packet.
Implement the embodiment of the present application, have it is following the utility model has the advantages that
As can be seen that technical solution provided by the present application passes through ultrasonic fingerprint when receiving fingerprint instruction to be collected
It identifies that mould group acquires at least one layer of fingerprint image data, when determining that fingerprint authentication passes through, executes successfully corresponding with the fingerprint authentication
Operation.This technical solution is only matched and is acquired at least one layer of fingerprint image data, will not be right after successful match
Fingerprint picture after at least one layer is acquired and matches, reduce fingerprint collecting number and matched calculation amount, mention
The high speed of unlocked by fingerprint, therefore it is fast with fingerprint recognition speed, the advantages of improving user experience.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Figure 1A is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Figure 1B is the structural schematic diagram of another electronic equipment provided by the embodiments of the present application；
Fig. 1 C is a kind of flow diagram of fingerprint identification method provided by the embodiments of the present application；
Fig. 1 D is a kind of demonstration schematic diagram in fingerprint collecting region provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of fingerprint identification method provided by the embodiments of the present application；
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 4 A is a kind of functional unit composition block diagram of fingerprint identification device provided by the embodiments of the present application；
Fig. 4 B is the functional unit composition block diagram of another fingerprint identification device provided by the embodiments of the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Electronic equipment involved by the embodiment of the present application may include the various handheld devices with wireless communication function,
Mobile unit, wearable device (smartwatch, Intelligent bracelet, wireless headset, augmented reality/virtual reality device, Brilliant Eyes
Mirror), calculate equipment or be connected to radio modem other processing equipments and various forms of user equipment (user
Equipment, UE), mobile station (mobile station, MS), terminal device (terminal device) etc..For convenience
Description, apparatus mentioned above are referred to as electronic equipment.
It describes in detail below to the embodiment of the present application.
Figure 1A is please referred to, Figure 1A is the structural schematic diagram of a kind of electronic equipment disclosed in the embodiment of the present application, electronic equipment
100 include storage and processing circuit 110, and the sensor 170 connecting with the storage and processing circuit 110, in which:
Electronic equipment 100 may include control circuit, which may include storage and processing circuit 110.This is deposited
Storage and processing circuit 110 can store device, such as hard drive memory, nonvolatile memory (such as flash memory or it is used for shape
At other electrically programmable read only memories etc. of solid state drive), volatile memory (such as either statically or dynamically arbitrary access
Memory etc.) etc., the embodiment of the present application is with no restriction.Processing circuit in storage and processing circuit 110 can be used for controlling electricity
The operating of sub- equipment 100.The processing circuit can microprocessor based on one or more, microcontroller, digital signal processor,
Baseband processor, power management unit, audio codec chip, specific integrated circuit, display-driver Ics etc. come
It realizes.
Storage and processing circuit 110 can be used for running the software in electronic equipment 100, such as the Internet browser application journey
Sequence, voice over internet protocol (Voice over Internet Protocol, VOIP) call application program, Email
Application program, media play-back application, operation system function etc..These softwares can be used for executing some control operations, example
Such as, based on the Image Acquisition of camera, the ambient light measurement based on ambient light sensor, based on proximity sensor close to sensing
Device measurement, the information display function that the positioning indicators such as status indicator lamp based on light emitting diode are realized, based on touch
The touch event of sensor detects, and in the associated function of multiple (such as layering) display information displayed on screen, with execution
The associated operation of wireless communication function, operation associated with collecting and generating audio signal, is pressed with collection and treatment button
Other functions etc. in the associated control operation of event data and electronic equipment 100 are pressed, the embodiment of the present application does not limit
System.
Electronic equipment 100 may include input-output circuit 150.Input-output circuit 150 can be used for making electronic equipment
100 realization data are output and input, i.e. permission electronic equipment 100 allows electronic equipment from outer equipment receiving data and also
100 export data to external equipment from electronic equipment 100.Input-output circuit 150 may further include sensor 170.
Sensor 170 may include ultrasonic fingerprint identification mould group, can also include ambient light sensor, close based on light and capacitor
Sensor, touch sensor is (for example, be based on light touch sensor and/or capacitive touch sensors, wherein touch sensor
The a part that can be touching display screen can also be used as a touch sensor arrangement and independently use), acceleration transducer,
With other sensors etc., ultrasonic fingerprint identification mould group be can integrate below screen, alternatively, ultrasonic fingerprint identification mould group can
It to be set to the side or the back side of electronic equipment, is not limited thereto, ultrasonic fingerprint identification mould group can be used for acquiring
Fingerprint image.
Input-output circuit 150 can also include one or more display screens, such as display screen 130.Display screen 130 can
To include liquid crystal display, organic light-emitting diode (OLED) display screen, electric ink display screen, plasma panel, using other aobvious
Show combination one or several kinds of in the display screen of technology.Display screen 130 may include touch sensor array (that is, display screen
130 can be touching display screen).Touch sensor can be by transparent touch sensor electrode (such as tin indium oxide (ITO)
Electrode) capacitive touch sensors that array is formed, or it can be the touch sensor formed using other touching techniques, example
Such as sound wave touch-control, pressure sensible touch, resistive touch, optical touch etc., the embodiment of the present application is with no restriction.
Electronic equipment 100 can also include audio component 140.Audio component 140 can be used for providing for electronic equipment 100
Audio input and output function.Audio component 140 in electronic equipment 100 may include loudspeaker, microphone, buzzer, sound
Adjust generator and other for generating and detecting the component of sound.
Telecommunication circuit 120 can be used for providing the ability with external device communication for electronic equipment 100.Telecommunication circuit 120
It may include analog- and digital- input-output interface circuit, and the radio communication circuit based on radiofrequency signal and/or optical signal.
Radio communication circuit in telecommunication circuit 120 may include radio-frequency transceiver circuitry, power amplifier circuit, low noise amplification
Device, switch, filter and antenna.For example, the radio communication circuit in telecommunication circuit 120 may include for passing through transmitting
The circuit of near-field communication (Near Field Communication, NFC) is supported with near-field coupling electromagnetic signal is received.Example
Such as, telecommunication circuit 120 may include near-field communication aerial and near-field communication transceiver.Telecommunication circuit 120 can also include honeycomb
Telephone transceiver and antenna, wireless lan transceiver circuit and antenna etc..
Electronic equipment 100 can further include battery, power management circuitry and other input-output units 160.It is defeated
Enter-output unit 160 may include button, control stick, click wheel, scroll wheel, touch tablet, keypad, keyboard, camera, hair
Optical diode and other positioning indicators etc..
User can input a command for the operation of controlling electronic devices 100 by input-output circuit 150, and can be with
Status information and other outputs from electronic equipment 100 are received using the output data of input-output circuit 150 to realize.
In a possible example, by taking ultrasonic fingerprint identification mould group is located at below screen as an example, as shown in Figure 1B, figure
1B is a kind of structural schematic diagram of electronic equipment, and electronic equipment 100 may include glass cover-plate (Cover glass) 210, display
Shield (OLED) 220, adhesive layer (Adhesive) 230, substrate (TFT Glass) 240, pixel layer (Pixel) 250, piezoelectric material
Layer (Copolymer) 260, Ag Ink layer 270, solidification glue-line (DAF) 280.Certainly, can also include above above-mentioned glass cover-plate
Film layer (film), film layer can be tempering film, be used to protect the display screen of electronic equipment.
Further, ultrasonic fingerprint identification mould group may include: Glass layer of TFT, Pixel layers, Ink layers of Ag and coagulate
Solid glue layer.Glass layers of TFT for metal wiring, material coating；Pixel layers, for the Metal electricity on TFT Glass
Piezoelectric energy-conversion material is also as ultrasonic wave transmitting/received cathode, Copolymer in pole, can " material deformation-voltage " phase
Mutually conversion；Ink layers of Ag, it is used as ultrasonic wave transmitting/received anode；DAF is freezing plastic, for protecting ultrasonic fingerprint to identify
Mould group；Adhesive layers are to identify mould group station in the viscose glue of OLED screen bottom ultrasonic fingerprint.
In the specific implementation, ultrasonic fingerprint identification mould group may include 2 states, TX state (for emitting ultrasonic wave) and
RX state (for receiving ultrasonic wave).
Under TX state, pass through electrode (Pixel negative electrode and the Ag Ink positive electricity at Copolymer (piezoelectric material) both ends
Pole) high-frequency (usually 10MHz rank) oscillator signal, such as sine wave are provided, Copolymer can generate the vibration of response frequency
And ultrasonic wave is issued, the ultrasonic wave transmitted upwards reaches the fingerprint contacted with screen surface, due to fingerprint after through OLED screen
When paddy ridge is bonded with screen, since the acoustic resistance characteristic and screen surfaces glass acoustic resistance different from those of the air in fingerprint valley are larger, refer to
The acoustic resistance characteristic of the skin histology of wrinkle ridge and screen surfaces glass acoustic resistance property difference are relatively large, and therefore, fingerprint valley ridge is to ultrasound
The reflected signal strength of wave is different.
Under RX state, ultrasonic fingerprint identification mould group is reached when reflected ultrasonic wave again passes through display screen
After (Pixel-Copolymer-Ag Ink), Copolymer vibration is caused to generate electric signal, the fingerprint valley ridge of different location is corresponding
The region pixel Copolymer oscillation intensity it is of different sizes, therefore the potential difference that receives of different location Pixel also not phase
With (Ag Ink is equipotential), potential difference is converted into two-dimensional picture signal, thus obtains ultrasonic fingerprint image.
Based on electronic equipment described in above-mentioned Figure 1A and Figure 1B, following function can be used to implement:
Circuit 110 is stored and processed, for when receiving fingerprint instruction to be collected, starting the ultrasonic fingerprint identification
Mould group；
Ultrasonic fingerprint identifies mould group, for acquiring at least one layer of fingerprint image data of target object；
Circuit 110 is stored and processed, for by at least one layer of at least one layer of the fingerprint image data and presetting module
Fingerprint image data match determine matching result, determine the matching result for matching when, determine fingerprint authentication success, execute with
The successful corresponding operation of the fingerprint authentication.
In a kind of optional scheme, such as preliminary fingerprint picture is to refer to fingerprint picture more, stores and processs circuit
110, it is specifically used for:
Quality evaluation is carried out to the multilayer fingerprint image data and obtains multiple picture quality evaluations of estimate, from the multiple figure
I-th layer of fingerprint picture for selecting quality evaluation best in piece quality assessment value, by i-th layer of fingerprint picture and preset fingerprint mould
I-th layer of fingerprint picture match of block obtains matching result.
In a kind of optional scheme, such as preliminary fingerprint picture is to refer to fingerprint picture more, stores and processs circuit
110, it is specifically used for:
Multilayer fingerprint image data and the execution of the multilayer fingerprint image data of presetting module are compared into process one by one, it is described by
One comparison process specifically includes: by the upper layer fingerprint image data of multilayer fingerprint image data and the upper layer fingerprint image of presetting module
Sheet data is matched, if it matches, terminating to compare process one by one, such as mismatches, it is subsequent to continue to execute upper layer fingerprint image data
The comparison of layer fingerprint image data until successful match or multilayer fingerprint image data all matching finishes, terminate described to compare one by one
To process.
In a kind of optional scheme, such as preliminary fingerprint picture is to refer to fingerprint picture more, stores and processs circuit 110
It is specifically used for:
Every layer of fingerprint image data in the multilayer fingerprint image data is identified and determines multilayer fingerprint image data pair
The multiple noise data areas answered select the smallest α layers of fingerprint picture of noise data area from multiple noise data areas
Data are matched the α layers of fingerprint image data with the execution of α layers of fingerprint image data of preset fingerprint module
As a result.
In a kind of optional scheme, storage and processing circuit 110 is specifically used for:
Every layer of fingerprint image data in the multilayer fingerprint image data is executed Noise Identification one by one to operate to obtain every layer
The noise data area of fingerprint image data；
The Noise Identification operation specifically includes: operating to obtain to current layer fingerprint image data progress feature point extraction more
Current layer fingerprint image data is divided into multiple set intervals by the distribution situation of a characteristic point and multiple characteristic points, is obtained
It does not include β set interval of characteristic point in the multiple set interval, the gross area of the β set interval is noise number
According to area.
Fig. 1 C is please referred to, Fig. 1 C is a kind of flow diagram of fingerprint identification method provided by the embodiments of the present application, is such as schemed
Shown, applied to electronic equipment as shown in Figure 1A, the electronic equipment includes ultrasonic fingerprint identification mould group, the fingerprint collecting
As shown in figure iD, this fingerprint identification method includes: in region
Step S101, electronic equipment passes through ultrasonic fingerprint and identifies the acquisition of mould group when receiving fingerprint instruction to be collected
At least one layer of fingerprint image data of target object；
Above-mentioned fingerprint instruction to be collected includes but is not limited to: fingerprint waits for that unlock instruction, fingerprint wait allowing to instruct.Above-mentioned fingerprint
It is specifically as follows wait allow to instruct, allows access into the instruction of some app.Some above-mentioned app includes but is not limited to: financial class app,
Pay class app, short message or instant messaging class app etc..
The judgment method that above-mentioned electronic equipment receives fingerprint instruction to be collected includes but is not limited to:
In an alternative embodiment, the distance that target object can be judged by range sensor, such as the distance
In the first range, determination receives fingerprint instruction to be collected.It certainly can also in other way, for example, passing through pressure
Force snesor and temperature sensor in conjunction with mode judged, specifically, as the pressure value of pressure sensor detection is
When the temperature of zero target object that still temperature sensor detects is set temperature threshold value, determination receives fingerprint finger to be collected
It enables.Certainly in practical applications, it can also be other modes, for example, pressure sensor detects that pressure value is greater than setting threshold
When value, determination receives fingerprint instruction to be collected.
Wherein, in the embodiment of the present application, above-mentioned target object can be people, alternatively, other animals.It is different taking human as example
People, physical condition is different, and corresponding fingerprint collecting parameter is different, certainly, the same person, due to physical feeling it
Between otherness, also different (such as the fingerprint and the fingerprint of palm its acquisition ginseng of finger of corresponding fingerprint collecting parameter
Number is difference).The mapping relations between preset physical feeling and acquisition parameter, Mei Yiying can be stored in advance in electronic equipment
The relationship of penetrating is the mapping relations between fingerprint collecting position and fingerprint collecting parameter.In the specific implementation, electronic equipment can obtain
It takes the target of target object to acquire position, in turn, according to the corresponding relationship between preset acquisition position and mapping relations, determines
The corresponding fingerprint collecting parameter in position is acquired, the acquisition position of target object is determined, can be identified by way of image recognition,
For example, one fingerprint image of acquisition, is entered into default neural network model, it can it is corresponding to obtain the fingerprint image
Position is acquired, because generally there is certain similitude in the fingerprint at each position of human body, can be by quasi- in advance
Standby default neural network model goes out its corresponding position by Fingerprint recognition, and certainly, acquisition position can also be by user
Input, above-mentioned default neural network model, according to target mapping relations collection, can determine target by system default, in turn
The corresponding first fingerprint collecting parameter in fingerprint collecting position, in this way, can according to user physiological status and acquisition position, choosing
Reasonable fingerprint collecting parameter is selected, helps to promote fingerprint image acquisition efficiency.Above-mentioned acquisition position can voluntarily be set by user
It sets or system default, acquisition position can be following at least one: finger, palm, arm, thigh, neck etc., herein not
It limits.
Step S102, electronic equipment is by least one layer of fingerprint picture of at least one layer fingerprint image data and presetting module
Data Matching determines matching result；
Optionally, above-mentioned at least one layer of fingerprint image data by at least one layer fingerprint image data and presetting module
With determine matching result concrete methods of realizing can there are many, for example, in a kind of optional embodiment, by this at least one
Layer fingerprint image data and the picture of preset template compare determining similarity, determine whether the similarity is greater than preset matching threshold
Value determines the matching knot if the similarity of at least one layer fingerprint image data and the picture of template is greater than preset matching threshold value
Fruit is matching.
Above-mentioned preset matching threshold value can dynamically be adjusted according to environmental parameter, wherein above-mentioned environmental parameter can be
Following at least one: ambient brightness, ambient color epidemic disaster, temperature, geographical location, environmental background etc. are not limited thereto,
In the specific implementation, environmental sensor has can be set in electronic equipment, environmental parameter can be acquired based on environmental sensor, environment passes
Sensor can be following at least one: ambient light sensor, color temperature sensor, temperature sensor, humidity sensor, orientation sensing
Device and imaging sensor etc. are not limited thereto.Preset quality evaluation of estimate can pre-save in the electronic device, can be with
By user's self-setting or system default.Preset environmental parameter can also be stored in advance in electronic equipment and optical finger print is known
Mapping relations between other threshold value.Above-mentioned predetermined manner can be nine grids, alternatively, four palace lattice, alternatively, 16 palace lattice etc.,
It is not limited thereto.
Step S103, when electronic equipment determines the matching result to match, determine that fingerprint authentication success, execution refer to this
Line is proved to be successful corresponding operation.
Above-mentioned execution operation corresponding with fingerprint authentication success can specifically include:
Above-mentioned execution operation corresponding from fingerprint authentication success may different, example according to different equipment states
Such as, in an alternative embodiment, as the equipment state be screen lock state, then execute unlock operation.Another optional
In embodiment, if the equipment state is instant messaging class, then the operation of display instant messaging class message is executed.It is optional at another
In embodiment, if the equipment state is financial class app, then executes and allow access into or payment operation.Certainly in practical applications, on
It states equipment state variation operation and is not limited to the example above.
Wherein, unlock operation can be following at least one: enter homepage by screen locking or blank screen, alternatively, by screen locking
Or the default application of blank screen starting, alternatively, executing predetermined registration operation, predetermined registration operation can be following at least one: delete operation is repaired
Change operation, squeeze operation, choose operation, photographing operation, delivery operation etc., is not limited thereto.Electronic equipment can be in mesh
When marking the matching value between fingerprint image and preset fingerprint template greater than target fingerprint recognition threshold, it is unlocked operation, otherwise,
When matching value between target fingerprint image and preset fingerprint template is less than or equal to target fingerprint recognition threshold, then it can mention
Show user fingerprints unlock failure, alternatively, prompt user re-starts fingerprint input.
Technical solution provided by the present application identifies that mould group is adopted when receiving fingerprint instruction to be collected, through ultrasonic fingerprint
Collect at least one layer of fingerprint image data, when determining that fingerprint authentication passes through, executes operation corresponding with fingerprint authentication success.This skill
Art scheme is only matched and is acquired at least one layer of fingerprint image data, will not be at least one layer after successful match
Fingerprint picture afterwards is acquired and matches, reduce fingerprint collecting number and matched calculation amount, improve fingerprint solution
The speed of lock, therefore it is fast with fingerprint recognition speed, the advantages of improving user experience.
Optionally, such as above-mentioned at least one layer of fingerprint image data includes multilayer fingerprint image data, above-mentioned steps S102's
Implementation method can specifically include:
Quality evaluation is carried out to multilayer fingerprint image data and obtains multiple picture quality evaluations of estimate, is commented from the instruction of multiple pictures
The best i-th layer of fingerprint picture of quality evaluation is selected in value, and i-th layer of i-th layer of fingerprint picture and preset fingerprint module is referred to
Line picture match obtains matching result.
This technical solution selects top-quality fingerprint image data progress when with multilayer fingerprint image data
Match, the fingerprint image data best for quality evaluation, the probability highest of successful match, therefore the program is in the rate of assuring success
While the matched number of reduction as far as possible, reduce matched calculation amount.
Optionally, such as above-mentioned at least one layer of fingerprint image data includes multilayer fingerprint image data, above-mentioned steps S102's
Implementation method can specifically include:
Multilayer fingerprint image data and the execution of the multilayer fingerprint image data of presetting module are compared into process one by one, this is one by one
Comparing process can specifically include: by the upper layer fingerprint image data of multilayer fingerprint image data and the upper layer fingerprint of presetting module
Image data is matched, if it matches, terminating to compare process one by one, is such as mismatched, after continuing to execute upper layer fingerprint image data
Until successful match or multilayer fingerprint image data are all matched and finished, end compares one by one for the comparison of subsequent layers fingerprint image data
Process.
Optionally, such as above-mentioned at least one layer of fingerprint image data includes multilayer fingerprint image data, above-mentioned steps S102's
Implementation method can specifically include:
Every layer of fingerprint image data in the multilayer fingerprint image data is identified and determines that multilayer fingerprint image data is corresponding
Multiple noise data areas, from multiple noise data areas select the smallest α layers of fingerprint image the piece number of noise data area
According to match the α layers of fingerprint image data execution of the α layers of fingerprint image data and preset fingerprint module to obtain matching and tie
Fruit.
Above-mentioned noise data area includes but is not limited to: spot data area, scar data area block data area.
Above-mentioned every layer of fingerprint image data in the multilayer fingerprint image data, which identifies, determines multilayer fingerprint image data
The implementation method of corresponding multiple noise data areas can specifically include:
Every layer of fingerprint image data in multilayer fingerprint image data is executed Noise Identification one by one to operate to obtain every layer of fingerprint
The noise data area of image data；Above-mentioned Noise Identification operation can specifically include: carry out to current layer fingerprint image data
Feature point extraction operates to obtain the distribution situation of multiple characteristic points and multiple characteristic points, and current layer fingerprint image data is divided
At multiple set intervals, obtain in multiple set intervals comprising β set interval of characteristic point, the face of the β set interval
Product is noise data area.
This realizes that the characteristics of noise data area is that for noise data, will not have characteristic point, and due to fingerprint
Characteristic point distribution it is relatively uniform, then entire fingerprint image data is divided into multiple set intervals, if the set interval
Not comprising this feature point, it can determine that the set interval is sound section, in this way be superimposed the area of all sound sections
Get up to obtain the area of noise data.
Optionally, above-mentioned electronic equipment is by least one layer of fingerprint image of at least one layer fingerprint image data and presetting module
Sheet data, which matches, determines matching result, as shown in Fig. 2, may include steps of:
S201, image segmentation is carried out to the first layer fingerprint image at least one layer of fingerprint image data, obtains target and refers to
Line area image；
The characteristic point distribution of S202, the analysis target fingerprint area image；
S203, circular image interception is carried out to the target fingerprint area image according to a not concentric of M, obtains M circle
Shape finger-print region image, the M are the integer greater than 3；
S204, target circle finger-print region image is selected from described M round finger-print region image, the target is round
The quantity for the characteristic point that finger-print region image is included is greater than other round fingerprint regions in described M round finger-print region image
Area image；
S205, the target circle finger-print region image is divided to obtain N number of annulus, the ring width of N number of annulus is identical；
S206, since N number of annulus the smallest annulus of radius, by N number of annulus successively with preset fingerprint mould
Plate carries out Feature Points Matching, and the accumulative matching value for having matched annulus；
S207, stop carrying out Feature Points Matching, and output immediately when accumulative matching value is greater than preset matching threshold value
With successful result.
Wherein, electronic equipment can carry out image segmentation to first layer fingerprint image, obtain target fingerprint area image, into
And the characteristic point distribution of the target fingerprint area image is analyzed, the target fingerprint area image is carried out according to a not concentric of M
Circular image interception obtains M round finger-print region image, and M is the integer greater than 3, selects from M round finger-print region image
Target circle finger-print region image out, the quantity for the characteristic point that target circle finger-print region image is included are greater than M circle and refer to
Other round finger-print region images in line area image, divide target circle finger-print region image to obtain N number of annulus, N number of
The ring width of annulus is identical, and since N number of annulus the smallest annulus of radius, N number of annulus is successively carried out with preset fingerprint template
Feature Points Matching, and the accumulative matching value for having matched annulus, in this way, in fingerprint identification process, can by different location or
The characteristic point of different fingerprints is equivalent to and samples to entire fingerprint image, and the sampling can cover entire finger for matching
Line region, thus, corresponding property feature up to standard can be found from each region to be used to match, when accumulative matching value is big
Stop carrying out Feature Points Matching immediately when preset matching threshold value, and export the successful prompting message of fingerprint recognition, so, it is possible
Quickly and precisely identify fingerprint recognition.
Optionally, above-mentioned Noise Identification operation specific implementation can also include:
Current layer fingerprint image data and default convolution kernel are executed into convolution algorithm and obtain convolution results matrix, obtains convolution
Element value is lower than the number e of element threshold value in matrix of consequence, obtains the noise data area according to number e.
It is above-mentioned to be obtained there are many modes of the noise data area according to number e, for example, in a kind of optional embodiment
In, can according to first interval locating for the e from section with the corresponding noise data area of the E is determined in area mapping relations.
Certainly in another alternative embodiment, noise data area can be obtained according to e and preset function.F (e)=k*e+A,
In, k is to set coefficient, A as adjustment amount.
As shown in figure 3, a kind of electronic equipment provided by the present application is illustrated in figure 3, as shown in figure 3, the electronic equipment packet
It includes: processing circuit 301 and ultrasonic fingerprint identification mould group 302, wherein
Processing circuit 301, for when receiving fingerprint instruction to be collected, starting the ultrasonic fingerprint identification mould group；
Ultrasonic fingerprint identifies mould group 302, for acquiring at least one layer of fingerprint image data of target object；
Processing circuit 301, for by least one layer of fingerprint image of at least one layer of the fingerprint image data and presetting module
Sheet data, which matches, determines matching result, when determining the matching result to match, determines fingerprint authentication success, executes and the finger
Line is proved to be successful corresponding operation.
Technical solution provided by the present application identifies that mould group is adopted when receiving fingerprint instruction to be collected, through ultrasonic fingerprint
Collect at least one layer of fingerprint image data, when determining that fingerprint authentication passes through, executes operation corresponding with fingerprint authentication success.This skill
Art scheme is only matched and is acquired at least one layer of fingerprint image data, will not be at least one layer after successful match
Fingerprint picture afterwards is acquired and matches, reduce fingerprint collecting number and matched calculation amount, improve fingerprint solution
The speed of lock, therefore it is fast with fingerprint recognition speed, the advantages of improving user experience.
In a kind of optional scheme, such as described at least one layer of fingerprint image data is multilayer fingerprint picture, processing circuit
301, it is specifically used for:
Quality evaluation is carried out to the multilayer fingerprint image data and obtains multiple picture quality evaluations of estimate, from the multiple figure
I-th layer of fingerprint picture for selecting quality evaluation best in piece quality assessment value, by i-th layer of fingerprint picture and preset fingerprint mould
I-th layer of fingerprint picture match of block obtains matching result.
In a kind of optional scheme, such as described at least one layer of fingerprint image data is multilayer fingerprint picture, processing circuit
301, specifically it can be used for:
Multilayer fingerprint image data and the execution of the multilayer fingerprint image data of presetting module are compared into process one by one, it is described by
One comparison process specifically includes: by the upper layer fingerprint image data of multilayer fingerprint image data and the upper layer fingerprint image of presetting module
Sheet data is matched, if it matches, terminating to compare process one by one, such as mismatches, it is subsequent to continue to execute upper layer fingerprint image data
The comparison of layer fingerprint image data until successful match or multilayer fingerprint image data all matching finishes, terminate described to compare one by one
To process.
In a kind of optional scheme, such as preliminary fingerprint picture is to refer to fingerprint picture more, processing circuit 301, specifically
It can be used for:
Every layer of fingerprint image data in the multilayer fingerprint image data is identified and determines multilayer fingerprint image data pair
The multiple noise data areas answered select the smallest α layers of fingerprint picture of noise data area from multiple noise data areas
Data are matched the α layers of fingerprint image data with the execution of α layers of fingerprint image data of preset fingerprint module
As a result.
In a kind of optional scheme, such as described at least one layer of fingerprint image data is multilayer fingerprint picture, processing circuit
301, specifically it can be used for:
Every layer of fingerprint image data in the multilayer fingerprint image data is executed Noise Identification one by one to operate to obtain every layer
The noise data area of fingerprint image data；
The Noise Identification operation specifically includes: operating to obtain to current layer fingerprint image data progress feature point extraction more
Current layer fingerprint image data is divided into multiple set intervals by the distribution situation of a characteristic point and multiple characteristic points, is obtained
It does not include β set interval of characteristic point in the multiple set interval, the gross area of the β set interval is noise number
According to area.
Refering to Fig. 4 A, Fig. 4 A provides a kind of fingerprint identification device, is applied to electronic equipment, and the electronic equipment includes super
Sound wave fingerprint recognition mould group；Described device includes: acquiring unit 401, matching unit 402, execution unit 403, wherein
Acquiring unit 401, for identifying that mould group is adopted by the ultrasonic fingerprint when receiving fingerprint instruction to be collected
Collect at least one layer of fingerprint image data of target object；
Matching unit 402, for by least one layer of fingerprint image of at least one layer of the fingerprint image data and presetting module
Sheet data, which matches, determines matching result；
Execution unit 403, for when determining the matching result to match, determining fingerprint authentication success, execution and institute
State the corresponding operation of fingerprint authentication success.
Technical solution provided by the present application identifies that mould group is adopted when receiving fingerprint instruction to be collected, through ultrasonic fingerprint
Collect at least one layer of fingerprint image data, when determining that fingerprint authentication passes through, executes operation corresponding with fingerprint authentication success.This skill
Art scheme is only matched and is acquired at least one layer of fingerprint image data, will not be at least one layer after successful match
Fingerprint picture afterwards is acquired and matches, reduce fingerprint collecting number and matched calculation amount, improve fingerprint solution
The speed of lock, therefore it is fast with fingerprint recognition speed, the advantages of improving user experience.
Refering to Fig. 4 B, in a kind of optinal plan, if the preliminary fingerprint picture is mostly finger fingerprint picture, the then matching unit
402 can specifically include:
Quality assessment module 4021 obtains multiple picture matter for carrying out quality evaluation to the multilayer fingerprint image data
Measure evaluation of estimate；
Comparison module 4022, i-th layer for selecting quality evaluation best from the multiple picture quality assessment value refers to
I-th layer of fingerprint picture match of i-th layer of fingerprint picture and preset fingerprint module is obtained matching result by line picture.
Such as preliminary fingerprint picture is to refer to that fingerprint picture, the matching unit 402 specifically can be used for more:
Multilayer fingerprint image data and the execution of the multilayer fingerprint image data of presetting module are compared into process one by one, it is described by
One comparison process specifically includes: by the upper layer fingerprint image data of multilayer fingerprint image data and the upper layer fingerprint image of presetting module
Sheet data is matched, if it matches, terminating to compare process one by one, such as mismatches, it is subsequent to continue to execute upper layer fingerprint image data
The comparison of layer fingerprint image data until successful match or multilayer fingerprint image data all matching finishes, terminate described to compare one by one
To process.
If at least one layer of fingerprint image data is multilayer fingerprint picture, which is specifically included:
Every layer of fingerprint image data in the multilayer fingerprint image data is identified and determines multilayer fingerprint image data pair
The multiple noise data areas answered select the smallest α layers of fingerprint picture of noise data area from multiple noise data areas
Data are matched the α layers of fingerprint image data with the execution of α layers of fingerprint image data of preset fingerprint module
As a result.
It is understood that the function of each program module of the fingerprint identification device of the present embodiment can be according to above method reality
The method specific implementation in example is applied, specific implementation process is referred to the associated description of above method embodiment, herein no longer
It repeats.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment
Some or all of method step, above-mentioned computer include electronic equipment.
The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either record method step in method embodiment.The computer program product can be a software installation
Packet, above-mentioned computer includes electronic equipment.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of said units, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English:
Random Access Memory, referred to as: RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (13)
1. a kind of electronic equipment, which is characterized in that the electronic equipment includes processing circuit, and is connect with the processing circuit
Ultrasonic fingerprint identify mould group, wherein
The processing circuit, for when receiving fingerprint instruction to be collected, starting the ultrasonic fingerprint identification mould group；
The ultrasonic fingerprint identifies mould group, for acquiring at least one layer of fingerprint image data of target object；
The processing circuit, for by least one layer of fingerprint image the piece number of at least one layer of the fingerprint image data and presetting module
Matching result is determined according to matching, and when determining the matching result to match, is determined fingerprint authentication success, is executed and the fingerprint inspection
Demonstrate,prove successfully corresponding operation.
2. electronic equipment according to claim 1, which is characterized in that if at least one layer of fingerprint image data is multilayer
Fingerprint picture, the processing circuit, is specifically used for:
Quality evaluation is carried out to the multilayer fingerprint image data and obtains multiple picture quality evaluations of estimate, is referred to from the multiple picture
I-th layer of fingerprint picture for selecting quality evaluation best in evaluation of estimate is enabled, by i-th layer of fingerprint picture and preset fingerprint module
I-th layer of fingerprint picture match obtains matching result.
3. electronic equipment according to claim 1, which is characterized in that if at least one layer of fingerprint image data is multilayer
Fingerprint picture, the processing circuit, is specifically used for:
Multilayer fingerprint image data and the execution of the multilayer fingerprint image data of presetting module are compared into process one by one, it is described to compare one by one
Process is specifically included: by the upper layer fingerprint image the piece number of the upper layer fingerprint image data of multilayer fingerprint image data and presetting module
According to being matched, if it matches, terminating to compare process one by one, such as mismatches, continue to execute upper layer fingerprint image data succeeding layer and refer to
The comparison of line image data until successful match or multilayer fingerprint image data all matching finishes, terminate described to compare convection current one by one
Journey.
4. electronic equipment according to claim 1, which is characterized in that if at least one layer of fingerprint image data is multilayer
Fingerprint picture, the processing circuit are specifically used for:
Every layer of fingerprint image data in the multilayer fingerprint image data is identified and determines that multilayer fingerprint image data is corresponding
Multiple noise data areas select the smallest α layers of fingerprint image data of noise data area from multiple noise data areas,
The α layers of fingerprint image data is matched to obtain matching result with the execution of α layers of fingerprint image data of preset fingerprint module.
5. electronic equipment according to claim 4, which is characterized in that the processing circuit is specifically used for:
Every layer of fingerprint image data in the multilayer fingerprint image data is executed Noise Identification one by one to operate to obtain every layer of fingerprint
The noise data area of image data；
The Noise Identification operation specifically includes: carrying out feature point extraction to current layer fingerprint image data and operates to obtain multiple spies
Current layer fingerprint image data is divided into multiple set intervals, described in acquisition by the distribution situation of sign point and multiple characteristic points
It does not include β set interval of characteristic point in multiple set intervals, the gross area of the β set interval is noise data face
Product.
6. a kind of fingerprint identification method, which is characterized in that be applied to electronic equipment, the electronic equipment includes that ultrasonic fingerprint is known
Other mould group；The described method includes:
When receiving fingerprint instruction to be collected, at least one layer of fingerprint image data of target object is acquired；
At least one layer of fingerprint image data is matched at least one layer of fingerprint image data of presetting module and determines matching knot
Fruit；
When determining the matching result to match, fingerprint authentication success is determined, execute corresponding with fingerprint authentication success
Operation.
7. according to the method described in claim 6, it is characterized in that, if at least one layer of fingerprint image data is multilayer fingerprint
Picture, it is described that at least one layer of fingerprint image data is matched determining at least one layer of fingerprint image data of presetting module
It is specifically included with result:
Quality evaluation is carried out to the multilayer fingerprint image data and obtains multiple picture quality evaluations of estimate, is referred to from the multiple picture
I-th layer of fingerprint picture for selecting quality evaluation best in evaluation of estimate is enabled, by i-th layer of fingerprint picture and preset fingerprint module
I-th layer of fingerprint picture match obtains matching result.
8. according to the method described in claim 6, it is characterized in that, if at least one layer of fingerprint image data is multilayer fingerprint
Picture, it is described that at least one layer of fingerprint image data is matched determining at least one layer of fingerprint image data of presetting module
It is specifically included with result:
Multilayer fingerprint image data and the execution of the multilayer fingerprint image data of presetting module are compared into process one by one, it is described to compare one by one
Process is specifically included: by the upper layer fingerprint image the piece number of the upper layer fingerprint image data of multilayer fingerprint image data and presetting module
According to being matched, if it matches, terminating to compare process one by one, such as mismatches, continue to execute upper layer fingerprint image data succeeding layer and refer to
The comparison of line image data until successful match or multilayer fingerprint image data all matching finishes, terminate described to compare convection current one by one
Journey.
9. according to the method described in claim 6, it is characterized in that, if at least one layer of fingerprint image data is multilayer fingerprint
Picture, it is described that at least one layer of fingerprint image data is matched determining at least one layer of fingerprint image data of presetting module
It is specifically included with result:
Every layer of fingerprint image data in the multilayer fingerprint image data is identified and determines that multilayer fingerprint image data is corresponding
Multiple noise data areas select the smallest α layers of fingerprint image data of noise data area from multiple noise data areas,
The α layers of fingerprint image data is matched to obtain matching result with the execution of α layers of fingerprint image data of preset fingerprint module.
10. according to the method described in claim 6, it is characterized in that, the noise data area method of determination specifically includes:
Every layer of fingerprint image data in the multilayer fingerprint image data is executed Noise Identification one by one to operate to obtain every layer of fingerprint
The noise data area of image data；
The Noise Identification operation specifically includes: carrying out feature point extraction to current layer fingerprint image data and operates to obtain multiple spies
Current layer fingerprint image data is divided into multiple set intervals, described in acquisition by the distribution situation of sign point and multiple characteristic points
It does not include β set interval of characteristic point in multiple set intervals, the gross area of the β set interval is noise data face
Product.
11. a kind of fingerprint identification device, which is characterized in that be applied to electronic equipment, the electronic equipment includes ultrasonic fingerprint
Identify mould group；Described device includes: acquiring unit, matching unit, execution unit, wherein
The acquiring unit identifies the acquisition of mould group for when receiving fingerprint instruction to be collected, passing through the ultrasonic fingerprint
At least one layer of fingerprint image data of target object；
The matching unit, for by least one layer of fingerprint image the piece number of at least one layer of the fingerprint image data and presetting module
Matching result is determined according to matching；
The execution unit executes and the finger for when determining the matching result to match, determining fingerprint authentication success
Line is proved to be successful corresponding operation.
12. a kind of electronic equipment, which is characterized in that including processor, memory, the memory is for storing one or more
Program, and be configured to be executed by the processor, described program includes for executing as described in claim any one of 6-10
Method in step instruction.
13. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange,
In, the computer program makes computer execute such as the described in any item methods of claim 6-10.
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| Publication number | Priority date | Publication date | Assignee | Title |
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102136024A (en) * | 2010-01-27 | 2011-07-27 | 中国科学院自动化研究所 | Biometric feature identification performance assessment and diagnosis optimizing system |
| CN105117086A (en) * | 2015-09-11 | 2015-12-02 | 小米科技有限责任公司 | Fingerprint recognition system, fingerprint recognition realizing method and device and electronic equipment |
| CN105912915A (en) * | 2016-05-27 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
| CN105912920A (en) * | 2016-06-17 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
| CN106203023A (en) * | 2015-05-04 | 2016-12-07 | 小米科技有限责任公司 | A kind of terminal carrying out fingerprint recognition |
| CN106485195A (en) * | 2015-08-27 | 2017-03-08 | 瑞鼎科技股份有限公司 | Capacitance type fingerprint sensing device further and capacitance type fingerprint method for sensing |
| CN106503628A (en) * | 2016-09-30 | 2017-03-15 | 北京小米移动软件有限公司 | method and device for fingerprint matching |
| CN107103223A (en) * | 2017-04-28 | 2017-08-29 | 广东欧珀移动通信有限公司 | Solve lock control method and Related product |
| CN107784271A (en) * | 2017-09-27 | 2018-03-09 | 广东欧珀移动通信有限公司 | Fingerprint identification method and related product |
| CN107832599A (en) * | 2017-11-16 | 2018-03-23 | 珠海市魅族科技有限公司 | A kind of terminal and unlocked by fingerprint method |
| CN108171178A (en) * | 2017-12-29 | 2018-06-15 | 昆山国显光电有限公司 | A kind of method for controlling fingerprint identification and touch panel, display device |
| CN109376703A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109426766A (en) * | 2017-08-23 | 2019-03-05 | 上海箩箕技术有限公司 | Fingerprint imaging mould group and electronic equipment |
| CN109858227A (en) * | 2019-02-02 | 2019-06-07 | Oppo广东移动通信有限公司 | Fingerprint input method, device, electronic equipment and storage medium |
| CN109886162A (en) * | 2019-01-30 | 2019-06-14 | Oppo广东移动通信有限公司 | Fingerprint authentication method and relevant apparatus |
-
2019
- 2019-07-08 CN CN201910610655.3A patent/CN110378263B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102136024A (en) * | 2010-01-27 | 2011-07-27 | 中国科学院自动化研究所 | Biometric feature identification performance assessment and diagnosis optimizing system |
| CN106203023A (en) * | 2015-05-04 | 2016-12-07 | 小米科技有限责任公司 | A kind of terminal carrying out fingerprint recognition |
| CN106485195A (en) * | 2015-08-27 | 2017-03-08 | 瑞鼎科技股份有限公司 | Capacitance type fingerprint sensing device further and capacitance type fingerprint method for sensing |
| CN105117086A (en) * | 2015-09-11 | 2015-12-02 | 小米科技有限责任公司 | Fingerprint recognition system, fingerprint recognition realizing method and device and electronic equipment |
| CN105912915A (en) * | 2016-05-27 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
| CN105912920A (en) * | 2016-06-17 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
| CN106503628A (en) * | 2016-09-30 | 2017-03-15 | 北京小米移动软件有限公司 | method and device for fingerprint matching |
| CN107103223A (en) * | 2017-04-28 | 2017-08-29 | 广东欧珀移动通信有限公司 | Solve lock control method and Related product |
| CN109426766A (en) * | 2017-08-23 | 2019-03-05 | 上海箩箕技术有限公司 | Fingerprint imaging mould group and electronic equipment |
| CN107784271A (en) * | 2017-09-27 | 2018-03-09 | 广东欧珀移动通信有限公司 | Fingerprint identification method and related product |
| CN107832599A (en) * | 2017-11-16 | 2018-03-23 | 珠海市魅族科技有限公司 | A kind of terminal and unlocked by fingerprint method |
| CN108171178A (en) * | 2017-12-29 | 2018-06-15 | 昆山国显光电有限公司 | A kind of method for controlling fingerprint identification and touch panel, display device |
| CN109376703A (en) * | 2018-11-30 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method and Related product |
| CN109886162A (en) * | 2019-01-30 | 2019-06-14 | Oppo广东移动通信有限公司 | Fingerprint authentication method and relevant apparatus |
| CN109858227A (en) * | 2019-02-02 | 2019-06-07 | Oppo广东移动通信有限公司 | Fingerprint input method, device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| FERNANDO ALONSO-FERNANDEZ ET AL.: "A Comparative Study of Fingerprint Image-Quality Estimation Methods", 《IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111681551A (en) * | 2020-06-28 | 2020-09-18 | 武汉华星光电技术有限公司 | Display module and electronic equipment |
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