CN107145866A - Fingerprint detection method and device - Google Patents
Fingerprint detection method and device Download PDFInfo
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- CN107145866A CN107145866A CN201710319662.9A CN201710319662A CN107145866A CN 107145866 A CN107145866 A CN 107145866A CN 201710319662 A CN201710319662 A CN 201710319662A CN 107145866 A CN107145866 A CN 107145866A
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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
- G06V40/1376—Matching features related to ridge properties or fingerprint texture
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Abstract
The disclosure is directed to a kind of fingerprint detection method and device.This method includes：Gather the fingerprint image of user；Lines information in the fingerprint image determines the fingerprint image with the presence or absence of abnormal；Deposited in an exceptional case in the fingerprint image, output represents that the fingerprint image has abnormal prompt message.The fingerprint detection method and device of the disclosure, it can be deposited in an exceptional case in the fingerprint image of collection, output represents that fingerprint image has abnormal prompt message, thereby assist in and collect normal fingerprint image, extract complete fingerprint characteristic, so as to be favorably improved the success rate of fingerprint recognition, the usage experience of user is improved.
Description
Technical field
This disclosure relates to fingerprint application technical field, more particularly to fingerprint detection method and device.
Background technology
With the development of fingerprint application technology, fingerprint application technology is in the mobile terminal such as smart mobile phone or tablet personal computer
In increasingly popularize.In correlation technique, fingerprint application is broadly divided into two steps, fingerprint typing and fingerprint recognition.In fingerprint record
Fashionable, fingerprint module can gather fingerprint image, fingerprint characteristic (such as central point, bifurcation, the direction taken the fingerprint in image
And/or curvature etc.), and fingerprint template is generated according to the fingerprint characteristic extracted.And in fingerprint recognition, fingerprint module equally can
Collection fingerprint image, the fingerprint characteristic taken the fingerprint in image, and by the fingerprint characteristic extracted with being deposited in fingerprint template storehouse
The fingerprint template of storage is compared, and identification success or not is determined according to similarity.
In correlation technique, the collection of fingerprint image will influence fingerprint recognition.For example, in fingerprint typing or the mistake of fingerprint recognition
Cheng Zhong, if the finger surface of user has attachment, can lead to not the fingerprint image for gathering attachment covering part, so as to lead
Fingerprint characteristic missing is caused, fingerprint recognition is influenceed.
The content of the invention
To overcome problem present in correlation technique, the disclosure provides a kind of fingerprint detection method and device.
According to the first aspect of the embodiment of the present disclosure there is provided a kind of fingerprint detection method, including：
Gather the fingerprint image of user；
Lines information in the fingerprint image determines the fingerprint image with the presence or absence of abnormal；
Deposited in an exceptional case in the fingerprint image, output represents that the fingerprint image has abnormal prompting letter
Breath.
For the above method, in a kind of possible implementation, the lines information in the fingerprint image is determined
The fingerprint image whether there is exception, including：
Obtain the width of each bar lines in the fingerprint image；
There is a situation where that the width of one or more lines partly or wholly is more than width threshold value in each bar lines
Under, determine that the fingerprint image is present abnormal.
For the above method, in a kind of possible implementation, the width of each bar lines in the fingerprint image is obtained
Degree, including：Obtain the width on each bar burr road in the fingerprint image；
There is a situation where that the width of one or more lines partly or wholly is more than width threshold value in each bar lines
Under, determine that the fingerprint image is present abnormal, including：In each bar burr road exist one or more portion of burr road bureau or
In the case that overall width is more than the first width threshold value, determine that the fingerprint image is present abnormal.
For the above method, in a kind of possible implementation, the width of each bar lines in the fingerprint image is obtained
Degree, including：Obtain the width on each bar dimpled grain road in the fingerprint image；
There is a situation where that the width of one or more lines partly or wholly is more than width threshold value in each bar lines
Under, determine that the fingerprint image is present abnormal, including：In each bar dimpled grain road exist one or more portion of dimpled grain road bureau or
In the case that overall width is more than the second width threshold value, determine that the fingerprint image is present abnormal.
For the above method, in a kind of possible implementation, the lines information in the fingerprint image is determined
The fingerprint image whether there is exception, including：
The fingerprint image is converted into black white image；
The area of any one black region or white portion in the black white image is more than the situation of area threshold
Under, determine that the fingerprint image is present abnormal.
According to the second aspect of the embodiment of the present disclosure there is provided a kind of finger print detection device, including：
Acquisition module, the fingerprint image for gathering user；
Determining module, determines the fingerprint image with the presence or absence of different for the lines information in the fingerprint image
Often；
Reminding module, for being deposited in an exceptional case in the fingerprint image, output represents that the fingerprint image is present
Abnormal prompt message.
For said apparatus, in a kind of possible implementation, the determining module includes：
Lines width acquisition submodule, the width for obtaining each bar lines in the fingerprint image；
First abnormal determination sub-module, for there is in each bar lines one or more lines partly or wholly
In the case that width is more than width threshold value, determine that the fingerprint image is present abnormal.
For said apparatus, in a kind of possible implementation, the lines width acquisition submodule includes：First obtains
Submodule is taken, the width for obtaining each bar burr road in the fingerprint image；
Described first abnormal determination sub-module includes：First determination sub-module, for existing in each bar burr road
In the case that the width of one or more burr road partly or wholly is more than the first width threshold value, determine that the fingerprint image is present
It is abnormal.
For said apparatus, in a kind of possible implementation, the lines width acquisition submodule includes：Second obtains
Submodule is taken, the width for obtaining each bar dimpled grain road in the fingerprint image；
Described first abnormal determination sub-module includes：Second determination sub-module, for existing in each bar dimpled grain road
In the case that the width of one or more dimpled grain road partly or wholly is more than the second width threshold value, determine that the fingerprint image is present
It is abnormal.
For said apparatus, in a kind of possible implementation, the determining module includes：
Black white image acquisition submodule, for the fingerprint image to be converted into black white image；
Second abnormal determination sub-module, for any one black region in the black white image or white portion
In the case that area is more than area threshold, determine that the fingerprint image is present abnormal.
According to the third aspect of the embodiment of the present disclosure there is provided a kind of finger print detection device, including：
Processor；
Memory for storing processor-executable instruction；
Wherein, the processor is configured as：
Gather the fingerprint image of user；
Lines information in the fingerprint image determines the fingerprint image with the presence or absence of abnormal；
Deposited in an exceptional case in the fingerprint image, output represents that the fingerprint image has abnormal prompting letter
Breath.
According to the fourth aspect of the embodiment of the present disclosure there is provided a kind of non-volatile computer readable storage medium storing program for executing, deposit thereon
Computer program instructions are contained, the computer program instructions realize above-mentioned method when being executed by processor.
The technical scheme provided by this disclosed embodiment can include the following benefits：The fingerprint detection method of the disclosure
And device determines fingerprint image with the presence or absence of different by gathering the fingerprint image of user, the lines information in fingerprint image
Often, and in fingerprint image deposit in an exceptional case, output represents that fingerprint image has abnormal prompt message, thereby assists in
Normal fingerprint image is collected, complete fingerprint characteristic is extracted, so as to be favorably improved the success rate of fingerprint recognition, improves and uses
The usage experience at family.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary and explanatory, not
The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows the implementation for meeting the disclosure
Example, and be used to together with specification to explain the principle of the disclosure.
Fig. 1 is a kind of flow chart of fingerprint detection method according to an exemplary embodiment.
Fig. 2 is an exemplary stream of step S102 in a kind of fingerprint detection method according to an exemplary embodiment
Cheng Tu.
Fig. 3 is the another exemplary of step S102 in a kind of fingerprint detection method according to an exemplary embodiment
Flow chart.
Fig. 4 is the schematic diagram of black white image in a kind of fingerprint detection method according to an exemplary embodiment.
Fig. 5 is a kind of block diagram of finger print detection device according to an exemplary embodiment.
Fig. 6 is an a kind of exemplary block diagram of finger print detection device according to an exemplary embodiment.
Fig. 7 is a kind of block diagram of device 800 for fingerprint detection according to an exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
Fig. 1 is a kind of flow chart of fingerprint detection method according to an exemplary embodiment.This method can be applied
There is the terminal device of finger print detection device in smart mobile phone or tablet personal computer etc., this is not restricted.As shown in figure 1, this refers to
Marks detection method, comprises the following steps.
In step S101, the fingerprint image of user is gathered.
The image with fingerprint lines that fingerprint image can gather for fingerprint acquisition device.The present embodiment does not limit fingerprint
The type of harvester, for example, can be the fingerprint acquisition device of optical profile type, silicon formula or ultrasonic type.
The present embodiment does not limit the process of the fingerprint image of collection user.For example, can be adopted during fingerprint typing
Collect the fingerprint image of user.For another example the fingerprint image of user during fingerprint recognition, can be gathered.
In step s 102, the lines information in the fingerprint image determines the fingerprint image with the presence or absence of abnormal.
The relevant information for the fingerprint lines that lines information can have for fingerprint image.The present embodiment does not limit lines information
Type, such as lines information can include the width of the quantity of lines, the trend of lines or lines in one or more.
The lines information that the present embodiment is not limited in fingerprint image determines the fingerprint image with the presence or absence of abnormal side
Formula.As an example of the present embodiment, the width of lines that can be in fingerprint image determines whether the fingerprint image is deposited
In exception.
In step s 103, deposited in an exceptional case in the fingerprint image, it is abnormal that output represents that the fingerprint image is present
Prompt message.
The present embodiment does not limit the mode of prompt message, and such as prompt message can be text prompt information, light prompt
At least one of in information, auditory tone cues information and vibration prompting information.
As an example of the present embodiment, deposited in an exceptional case in fingerprint image, can export and represent the fingerprint
There is abnormal text prompt information in image, for example " fingerprint collecting is abnormal, please resurvey ", " there is attachment on finger, please be clear
Resurveyed after removing " or " finger print is lacked, and please change finger ".
The fingerprint detection method of the present embodiment, can be deposited in an exceptional case in the fingerprint image of collection, and output is represented
There is abnormal prompt message in fingerprint image, thereby assist in and collect normal fingerprint image, extract complete fingerprint characteristic,
So as to be favorably improved the success rate of fingerprint recognition, the usage experience of user is improved.
Fig. 2 is an exemplary stream of step S102 in a kind of fingerprint detection method according to an exemplary embodiment
Cheng Tu.As shown in Fig. 2 the lines information in fingerprint image determines the fingerprint image with the presence or absence of abnormal, can include with
Lower step.
In step s 201, the width of each bar lines in fingerprint image is obtained.
As an example of the present embodiment, the width on each bar burr road in fingerprint image can be obtained.
As another example of the present embodiment, the width on each bar dimpled grain road in fingerprint image can be obtained.
As another example of the present embodiment, the width on each bar burr road and each bar dimpled grain road in fingerprint image can be obtained
Degree.
In step S202, there is the width of one or more lines partly or wholly more than width threshold in each bar lines
In the case of value, determine that the fingerprint image is present abnormal.
Each bar lines convex-concave in fingerprint image is spaced apart, and wall scroll lines has the width upper limit, so will not generally deposit
In wider lines.In the case of the finger surface of user is appendiculate, certain one or more burr road in fingerprint image
Width partly or wholly may be wider.In the case where the finger surface of user has missing (such as having wound), fingerprint image
In certain width of one or more dimpled grain road partly or wholly may be wider.By to the portion of each striped road bureau in fingerprint image
Or the detection of overall width, it may be determined that the fingerprint image is with the presence or absence of abnormal.
If it should be noted that those skilled in the art are it should be understood that the finger surface of user has attachment or had
Lack (for example having wound), then will be unable to collect attachment or lack the fingerprint image of covering part, thus lead to not from
The feature that taken the fingerprint in the fingerprint image of the part (such as central point, bifurcation, direction and/or curvature).If the hand of user
Referring to surface has during attachment or the situation for having missing appear in fingerprint typing, then will cause do not have this portion in fingerprint template
The fingerprint characteristic divided, during subsequent fingerprint is recognized, if attachment or missing have been not present, the fingerprint of this part is special
Levying to be compared, and reduce the success rate of fingerprint recognition.If the finger surface of user has attachment or has the situation of missing
During appearing in the fingerprint recognition after the normal typing of fingerprint, then the fingerprint characteristic of this part would not be compared, equally
The success rate of fingerprint recognition can be reduced.
As an example of the present embodiment, N1 fingerprint image can be obtained as sample, from the N1 fingerprint image
It is middle to extract the width of each bar lines, and it regard the average value of the width of each bar lines as width threshold value.Wherein, N1 is positive integer.
It is understood that sample number N1 is bigger, it is determined that width threshold value it is more accurate.
It should be noted that those skilled in the art can also adopt determines width threshold value in various manners, do not limit herein
It is fixed.
This example is by judging whether the width of each striped road partly or wholly in fingerprint image is more than width threshold value, really
Whether the fixed fingerprint image is abnormal, thereby assists in and collects normal fingerprint image, complete fingerprint characteristic is extracted, so as to have
Help improve the success rate of fingerprint recognition, improve the usage experience of user.
In a kind of possible implementation, obtaining the width (step S201) of each bar lines in fingerprint image can wrap
Include：Obtain the width on each bar burr road in fingerprint image.There is one or more lines partly or wholly in each bar lines
Width be more than width threshold value in the case of, determine that the fingerprint image has abnormal (step S202) and can included：It is convex in each bar
There is the width of one or more burr road partly or wholly in lines more than in the case of the first width threshold value, determine the fingerprint
Image exists abnormal.In the implementation, there is a burr in the fingerprint image for detecting fingerprint acquisition device collection
In the case that the width of road partly or wholly is more than the first width threshold value, it is determined that the fingerprint image exists abnormal.
As an example of the implementation, N2 fingerprint image can be obtained as sample, from the N2 fingerprint image
The width on each bar burr road is extracted as in, and regard the average value of the width on each bar burr road as the first width threshold value.Wherein, N2
For positive integer.It is understood that sample number N2 is bigger, it is determined that the first width threshold value it is more accurate.
It should be noted that those skilled in the art can also adopt determines the first width threshold value in various manners, herein not
It is construed as limiting.
The implementation is by judging whether the width of each bar burr road partly or wholly in fingerprint image is more than first
Width threshold value, whether have attachment, so that it is determined that whether the fingerprint image is abnormal, contribute to collection if determining the finger surface of user
To normal fingerprint image.
In a kind of possible implementation, obtaining the width (step S201) of each bar lines in fingerprint image can wrap
Include：Obtain the width on each bar dimpled grain road in fingerprint image.There is one or more lines partly or wholly in each bar lines
Width be more than width threshold value in the case of, determine that the fingerprint image has abnormal (step S202) and can included：It is recessed in each bar
There is the width of one or more dimpled grain road partly or wholly in lines more than in the case of the second width threshold value, determine the fingerprint
Image exists abnormal.In the implementation, there is a dimpled grain in the fingerprint image for detecting fingerprint acquisition device collection
In the case that the width of road partly or wholly is more than the second width threshold value, it is determined that the fingerprint image exists abnormal.
As an example of the implementation, N3 fingerprint image can be obtained as sample, from the N3 fingerprint image
The width on each bar dimpled grain road is extracted as in, and regard the average value of the width on each bar dimpled grain road as the second width threshold value.Wherein, N3
For positive integer.It is understood that sample number N3 is bigger, it is determined that the second width threshold value it is more accurate.
It should be noted that those skilled in the art can also adopt determines the second width threshold value in various manners, herein not
It is construed as limiting.
The implementation is by judging whether the width of each bar dimpled grain road partly or wholly in fingerprint image is more than second
Width threshold value, whether determine the finger surface of user has missing (for example having wound), so that it is determined that whether the fingerprint image is abnormal,
Help to collect normal fingerprint image.
Fig. 3 is the another exemplary of step S102 in a kind of fingerprint detection method according to an exemplary embodiment
Flow chart.As shown in figure 3, the lines information in fingerprint image determines that the fingerprint image, with the presence or absence of abnormal, can include
Following steps.
In step S301, fingerprint image is converted into black white image.
Fig. 4 is the schematic diagram of black white image in a kind of fingerprint detection method according to an exemplary embodiment.In Fig. 4
In, black lines can be burr road, and white lines can be dimpled grain road.Each bar lines convex-concave interval point in fingerprint image
Cloth, and wall scroll lines has the width upper limit, so being generally not in an area larger black region or white portion.
In the case of the finger surface of user is appendiculate, the area of some or multiple black regions in black white image may be compared with
Greatly.In the case where the finger surface of user has missing (such as having wound), some in fingerprint image or multiple white areas
The area in domain may be larger., can by the detection to each black region or the area of each white portion in black white image
To determine the fingerprint image with the presence or absence of abnormal.
It should be noted that it is one kind in numerous methods, art technology that fingerprint image is converted into black white image
Personnel, which can also be converted to fingerprint image other, only includes the image of two color values.For example, fingerprint image can be changed
For red blue images, red lines can be burr road, and blue lines can be burr road.
In step s 302, in the black white image any one black region or the area of white portion is more than area
In the case of threshold value, determine that the fingerprint image is present abnormal.
The present embodiment does not limit the determination mode of area threshold, and such as area threshold can be the threshold value pre-set.
As an example of the present embodiment, if the area detected in the presence of a black region in black white image is more than
Area threshold, it is determined that the fingerprint image has exception, and exports the expression fingerprint image in the presence of abnormal text prompt information,
For example " there is attachment on finger, resurveyed after please removing ".
As another example of the present embodiment, if the area detected in the presence of a white portion in black white image is big
In area threshold, it is determined that the fingerprint image has exception, and export the text prompt letter for representing that the fingerprint image has exception
Breath, such as " finger print is lacked, and please change finger ".
This example is by judging each black region or each white portion in the black white image that fingerprint image is converted to
Area whether be more than area threshold, determine whether the fingerprint image abnormal, thereby assists in and collects normal fingerprint image,
Complete fingerprint characteristic is extracted, so as to be favorably improved the success rate of fingerprint recognition, the usage experience of user is improved.
Fig. 5 is a kind of block diagram of finger print detection device according to an exemplary embodiment.Reference picture 5, the device bag
Include acquisition module 11, determining module 13 and reminding module 15.
The acquisition module 11 is configured as gathering the fingerprint image of user.The determining module 13 is configured as being referred to according to described
Lines information in print image determines the fingerprint image with the presence or absence of abnormal.The reminding module 15 is configured as in the fingerprint
Image is deposited in an exceptional case, and output represents that the fingerprint image has abnormal prompt message.
Fig. 6 is an a kind of exemplary block diagram of finger print detection device according to an exemplary embodiment.Reference picture
6：
In a kind of possible implementation, the determining module 13 includes lines width acquisition submodule 131 and first
Abnormal determination sub-module 133.
The lines width acquisition submodule 131 is configured as obtaining the width of each bar lines in the fingerprint image.Should
First abnormal determination sub-module 133 is configured as in each bar lines the presence of the width of one or more lines partly or wholly
In the case that degree is more than width threshold value, determine that the fingerprint image is present abnormal.
In a kind of possible implementation, the lines width acquisition submodule 131 includes the first acquisition submodule.Should
First acquisition submodule is configured as obtaining the width on each bar burr road in the fingerprint image.Described first abnormal determination
Module 133 includes the first determination sub-module.First determination sub-module is configured as in each bar burr road having one
Or in the case that the width of a plurality of burr road partly or wholly is more than the first width threshold value, determine that the fingerprint image is present different
Often.
In a kind of possible implementation, the lines width acquisition submodule 131 includes the second acquisition submodule.Should
Second acquisition submodule is configured as obtaining the width on each bar dimpled grain road in the fingerprint image.Described first abnormal determination
Module 133 includes the second determination sub-module.Second determination sub-module is configured as in each bar dimpled grain road having one
Or in the case that the width of a plurality of dimpled grain road partly or wholly is more than the second width threshold value, determine that the fingerprint image is present different
Often.
In a kind of possible implementation, the determining module 13 includes black white image acquisition submodule 135 and second
Abnormal determination sub-module 137.
The black white image acquisition submodule 135 is configured as the fingerprint image being converted to black white image.Second is abnormal
Determination sub-module 137 is configured as any one black region in the black white image or the area of white portion is more than face
In the case of product threshold value, determine that the fingerprint image is present abnormal.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
The finger print detection device of the present embodiment, can be deposited in an exceptional case in the fingerprint image of collection, and output is represented
There is abnormal prompt message in fingerprint image, thereby assist in and collect normal fingerprint image, extract complete fingerprint characteristic,
So as to be favorably improved the success rate of fingerprint recognition, the usage experience of user is improved.
Fig. 7 is a kind of block diagram of device 800 for fingerprint detection according to an exemplary embodiment.For example, dress
It can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, medical treatment to put 800
Equipment, body-building equipment, personal digital assistant etc..
Reference picture 7, device 800 can include following one or more assemblies：Processing assembly 802, memory 804, power supply
Component 806, multimedia groupware 808, audio-frequency assembly 810, the interface 812 of input/output (I/O), sensor cluster 814, and
Communication component 816.
The integrated operation of the usual control device 800 of processing assembly 802, such as with display, call, data communication, phase
Machine operates the operation associated with record operation.Processing assembly 802 can refer to including one or more processors 820 to perform
Order, to complete all or part of step of above-mentioned method.In addition, processing assembly 802 can include one or more modules, just
Interaction between processing assembly 802 and other assemblies.For example, processing assembly 802 can include multi-media module, it is many to facilitate
Interaction between media component 808 and processing assembly 802.
Memory 804 is configured as storing various types of data supporting the operation in device 800.These data are shown
Example includes the instruction of any application program or method for being operated on device 800, and contact data, telephone book data disappears
Breath, picture, video etc..Memory 804 can be by any kind of volatibility or non-volatile memory device or their group
Close and realize, such as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM) is erasable to compile
Journey read-only storage (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash
Device, disk or CD.
Power supply module 806 provides electric power for the various assemblies of device 800.Power supply module 806 can include power management system
System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 800.
Multimedia groupware 808 is included in the screen of one output interface of offer between described device 800 and user.One
In a little embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel, screen
Curtain may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch sensings
Device is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or sliding action
Border, but also detection touches or slide related duration and pressure with described.In certain embodiments, many matchmakers
Body component 808 includes a front camera and/or rear camera.When device 800 be in operator scheme, such as screening-mode or
During video mode, front camera and/or rear camera can receive the multi-medium data of outside.Each front camera and
Rear camera can be a fixed optical lens system or with focusing and optical zoom capabilities.
Audio-frequency assembly 810 is configured as output and/or input audio signal.For example, audio-frequency assembly 810 includes a Mike
Wind (MIC), when device 800 be in operator scheme, when such as call model, logging mode and speech recognition mode, microphone by with
It is set to reception external audio signal.The audio signal received can be further stored in memory 804 or via communication set
Part 816 is sent.In certain embodiments, audio-frequency assembly 810 also includes a loudspeaker, for exports audio signal.
I/O interfaces 812 is provide interface between processing assembly 802 and peripheral interface module, above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and lock
Determine button.
Sensor cluster 814 includes one or more sensors, and the state for providing various aspects for device 800 is commented
Estimate.For example, sensor cluster 814 can detect opening/closed mode of device 800, the relative positioning of component is for example described
Component is the display and keypad of device 800, and sensor cluster 814 can be with 800 1 components of detection means 800 or device
Position change, the existence or non-existence that user contacts with device 800, the orientation of device 800 or acceleration/deceleration and device 800
Temperature change.Sensor cluster 814 can include proximity transducer, be configured to detect in not any physical contact
The presence of neighbouring object.Sensor cluster 814 can also include optical sensor, such as CMOS or ccd image sensor, for into
As being used in application.In certain embodiments, the sensor cluster 814 can also include acceleration transducer, gyro sensors
Device, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 816 is configured to facilitate the communication of wired or wireless way between device 800 and other equipment.Device
800 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.In an exemplary implementation
In example, communication component 816 receives broadcast singal or broadcast related information from external broadcasting management system via broadcast channel.
In one exemplary embodiment, the communication component 816 also includes near-field communication (NFC) module, to promote junction service.Example
Such as, NFC module can be based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band (UWB) technology,
Bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 800 can be believed by one or more application specific integrated circuits (ASIC), numeral
Number processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 804 of instruction, above-mentioned instruction can be performed to complete the above method by the processor 820 of device 800.For example,
The non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk
With optical data storage devices etc..
Those skilled in the art will readily occur to its of the disclosure after considering specification and putting into practice invention disclosed herein
Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or
Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following
Claim is pointed out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.
Claims (12)
1. a kind of fingerprint detection method, it is characterised in that including：
Gather the fingerprint image of user；
Lines information in the fingerprint image determines the fingerprint image with the presence or absence of abnormal；
Deposited in an exceptional case in the fingerprint image, output represents that the fingerprint image has abnormal prompt message.
2. fingerprint detection method according to claim 1, it is characterised in that the lines information in the fingerprint image
The fingerprint image is determined with the presence or absence of exception, including：
Obtain the width of each bar lines in the fingerprint image；
In the case of being more than width threshold value in the presence of the width of one or more lines partly or wholly in each bar lines, really
The fixed fingerprint image exists abnormal.
3. fingerprint detection method according to claim 2, it is characterised in that obtain each bar lines in the fingerprint image
Width, including：Obtain the width on each bar burr road in the fingerprint image；
In the case of being more than width threshold value in the presence of the width of one or more lines partly or wholly in each bar lines, really
There is exception in the fixed fingerprint image, including：There is one or more burr road partly or wholly in each bar burr road
Width be more than the first width threshold value in the case of, determine that the fingerprint image is present abnormal.
4. fingerprint detection method according to claim 2, it is characterised in that obtain each bar lines in the fingerprint image
Width, including：Obtain the width on each bar dimpled grain road in the fingerprint image；
In the case of being more than width threshold value in the presence of the width of one or more lines partly or wholly in each bar lines, really
There is exception in the fixed fingerprint image, including：There is one or more dimpled grain road partly or wholly in each bar dimpled grain road
Width be more than the second width threshold value in the case of, determine that the fingerprint image is present abnormal.
5. fingerprint detection method according to claim 1, it is characterised in that the lines information in the fingerprint image
The fingerprint image is determined with the presence or absence of exception, including：
The fingerprint image is converted into black white image；
In the case that the area of any one black region or white portion in the black white image is more than area threshold, really
The fixed fingerprint image exists abnormal.
6. a kind of finger print detection device, it is characterised in that including：
Acquisition module, the fingerprint image for gathering user；
Determining module, determines the fingerprint image with the presence or absence of abnormal for the lines information in the fingerprint image；
Reminding module, for being deposited in an exceptional case in the fingerprint image, it is abnormal that output represents that the fingerprint image is present
Prompt message.
7. finger print detection device according to claim 6, it is characterised in that the determining module includes：
Lines width acquisition submodule, the width for obtaining each bar lines in the fingerprint image；
First abnormal determination sub-module, for there is the width of one or more lines partly or wholly in each bar lines
In the case of more than width threshold value, determine that the fingerprint image is present abnormal.
8. finger print detection device according to claim 7, it is characterised in that
The lines width acquisition submodule includes：First acquisition submodule, it is convex for obtaining each bar in the fingerprint image
The width of lines；
Described first abnormal determination sub-module includes：First determination sub-module, for there is one in each bar burr road
Or in the case that the width of a plurality of burr road partly or wholly is more than the first width threshold value, determine that the fingerprint image is present different
Often.
9. finger print detection device according to claim 7, it is characterised in that
The lines width acquisition submodule includes：Second acquisition submodule is recessed for obtaining each bar in the fingerprint image
The width of lines；
Described first abnormal determination sub-module includes：Second determination sub-module, for there is one in each bar dimpled grain road
Or in the case that the width of a plurality of dimpled grain road partly or wholly is more than the second width threshold value, determine that the fingerprint image is present different
Often.
10. finger print detection device according to claim 6, it is characterised in that the determining module includes：
Black white image acquisition submodule, for the fingerprint image to be converted into black white image；
Second abnormal determination sub-module, for any one black region or the area of white portion in the black white image
In the case of more than area threshold, determine that the fingerprint image is present abnormal.
11. a kind of finger print detection device, it is characterised in that including：
Processor；
Memory for storing processor-executable instruction；
Wherein, the processor is configured as：
Gather the fingerprint image of user；
Lines information in the fingerprint image determines the fingerprint image with the presence or absence of abnormal；
Deposited in an exceptional case in the fingerprint image, output represents that the fingerprint image has abnormal prompt message.
12. a kind of non-volatile computer readable storage medium storing program for executing, is stored thereon with computer program instructions, it is characterised in that institute
State and method in claim 1 to 5 described in any one is realized when computer program instructions are executed by processor.
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| CN201710319662.9A CN107145866A (en) | 2017-05-09 | 2017-05-09 | Fingerprint detection method and device |
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