CN107506757A - A kind of lateral fingerprint module and the mobile terminal with lateral fingerprint module - Google Patents
A kind of lateral fingerprint module and the mobile terminal with lateral fingerprint module Download PDFInfo
- Publication number
- CN107506757A CN107506757A CN201710928909.7A CN201710928909A CN107506757A CN 107506757 A CN107506757 A CN 107506757A CN 201710928909 A CN201710928909 A CN 201710928909A CN 107506757 A CN107506757 A CN 107506757A
- Authority
- CN
- China
- Prior art keywords
- fingerprint
- sensor
- lateral
- fingerprint sensor
- mobile terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/02—Constructional features of telephone sets
- H04M1/0202—Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
- H04M1/026—Details of the structure or mounting of specific components
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Image Input (AREA)
Abstract
The invention discloses a kind of laterally fingerprint module and the mobile terminal with lateral fingerprint module, it is intended to solves the technical problem that the fingerprint identification module of mobile terminal product influences Consumer's Experience in complete machine placement position.The lateral fingerprint recognition module includes fingerprint sensor, fingerprint module fixed mount and PCB components, and the fingerprint sensor is by the fingerprint module fixed mount setting in one of side of case component;The fingerprint sensor is electrically connected with the PCB components.By the set-up mode of this fingerprint sensor, the length of mobile terminal product is reduced, screen accounting is effectively improved, improves Consumer's Experience.
Description
Technical field
The present invention relates to fingerprint identification technology field, more particularly to a kind of lateral fingerprint module and there is lateral fingerprint mould
The mobile terminal of group.
Background technology
Fingerprint identification technology is by analyzing the global characteristics of fingerprint and the local feature of fingerprint, characteristic point such as ridge, paddy and end
Point, bifurcation or ramification point, the characteristic value extracted from fingerprint can be very detailed, reliably to be confirmed by fingerprint
The body of one people.Average each fingerprint has several unique measurable characteristic points, and each characteristic point has about seven
Feature, our ten fingers produce the measurable feature of minimum 4900 independence;This confirm enough fingerprint recognition whether be
One relatively reliable identification method.
As mobile terminal technology develops, people start fingerprint identification technology is integrally disposed on mobile terminals, earliest
It is that MOTO Atri × 4G in 2011 are proposed fingerprint recognition unlocking function, the mobile terminal production of present essentially all new release
Product are integrated with fingerprint identification function module, and fingerprint identification function module already turns into the standard configuration of mobile terminal product.It is existing
Have fingerprint identification module the set-up mode of mobile terminal mainly have front pressing, the back side pressing, front slide, Dorsal glide with
And the back side presses this several ways, for example, iPhone 5S/6 Touch ID fingerprint sensors are placed in Home key,
Home key sensor surface is made up of the sapphire crystal being cut by laser, and can realize vernier focusing finger, protect sensor
Effect, and sensor can carry out the record and identification of finger print information at this moment, and around pick up button it is then stainless steel ring,
For monitoring finger, activation sensor and improvement signal to noise ratio.Then, software will read finger print information, search matching fingerprint to solve
Lock mobile phone.And for example Huawei Mate series uses the FPC1020 fingerprinting schemes of FPC companies of Sweden, and the program is by sensor
It is placed in cell phone rear cover, though being push type fingerprint identification technology, it should belong to contact.Only need to mobile phone is light
Put down gently in release region, it becomes possible to be unlocked.The plated film of one layer of silver color is covered on the fingerprint sensor of Huawei Mate series, is referred to
There is a circle endless metal shape between line identification region and rear shell, similar to the stainless steel for wrapping iphone5s fingerprint induction zones
Detect ring (Stainless steel detection ring), this becket can be with except serving as that fingerprint trigger feels
There are many functions.
As can be seen here, fingerprint identification module is typically arranged on mobile terminal front lower end or set by existing mobile terminal
Put at the back side of mobile terminal;When fingerprint identification module is arranged on positive lower end so that mobile terminal product bottom is longer, screen
Accounting is small, does not utilize realization screen structure comprehensively, poor user experience;When fingerprint identification module is arranged on the back side of mobile terminal product
When, influence complete machine structure layout and battery installation position is put, take more inner space, Consumer's Experience is general.
The content of the invention
It is a primary object of the present invention to propose a kind of lateral fingerprint module and have the mobile end of lateral fingerprint module
End, it is intended to solve the technical problem that the fingerprint identification module of mobile terminal product influences Consumer's Experience in complete machine placement position.
In order to solve the above-mentioned technical problem, the invention provides a kind of lateral fingerprint recognition module, including fingerprint sensor,
Fingerprint module fixed mount and PCB components, the fingerprint sensor is by the fingerprint module fixed mount setting in case component
One of side;The fingerprint sensor is electrically connected with the PCB components.
Further, the case component includes frame, and the wherein side of the frame is provided with the fingerprint sensing
The mounting hole of device, the fingerprint sensor is by the fingerprint module fixed mount setting in the mounting hole.
Further, the PCB components are arranged on inside the case component, and fingerprint knowledge is provided with the PCB components
Other processor and memory, the fingerprint sensor are electrically connected with the fingerprint identification processor.
Further, the fingerprint sensor is fixedly installed in described fingerprint module fixed mount one end, and the other end is arranged on institute
State on PCB components, signal wire is provided with the main body of the fingerprint module fixed mount, the fingerprint sensor is known with the fingerprint
Other processor is connected by the signal wire.
Further, the main body of the fingerprint module fixed mount is arranged between the frame and center of the case component.
Further, the fingerprint module fixed mount is fixedly installed on the inner side of the frame by gluing, screw or rivet.
Further, the fingerprint sensor is optical fingerprint sensor, and the corresponding fingerprint identification processor is
Optical fingerprint processor, the optical fingerprint processor receive the optical finger print letter that the optical fingerprint sensor obtains
Cease, be compared after analyzing and processing with the fingerprint characteristic data storehouse in the memory, verify and identify user identity.
Further, the fingerprint sensor is capacitive fingerprint sensing device, and the corresponding fingerprint identification processor is
Capacitance type fingerprint processor, the capacitance type fingerprint processor receive the capacitive fingerprint letter that the capacitive fingerprint sensing device obtains
Cease, be compared after analyzing and processing with the fingerprint characteristic data storehouse in the memory, verify and identify user identity.
Further, the fingerprint sensor is heat seeking fingerprint sensor, and the corresponding fingerprint identification processor is
Heat seeking fingerprint processor, the heat seeking fingerprint processor receive the thermal sensation fingerprint letter that the heat seeking fingerprint sensor obtains
Cease, be compared after analyzing and processing with the fingerprint characteristic data storehouse in the memory, verify and identify user identity.
Further, the fingerprint sensor is inductance type fingerprint sensor, and the corresponding fingerprint identification processor is
Inductance type fingerprint processor, the inductance type fingerprint processor receive the capacitive fingerprint letter that the inductance type fingerprint sensor obtains
Cease, be compared after analyzing and processing with the fingerprint characteristic data storehouse in the memory, verify and identify user identity.
Based on same inventive concept, another aspect of the present invention, a kind of mobile terminal is additionally provided, the mobile terminal
Case component side is provided with above-mentioned lateral fingerprint recognition module.
The beneficial effect of technical solution of the present invention:
The invention provides a kind of laterally fingerprint module and the mobile terminal with lateral fingerprint module, by fingerprint sensing
Device is arranged on the side of mobile terminal, the side of mobile terminal, includes left surface, right flank, top side face, bottom side;Generally I
The buttons such as power supply are arranged on left and right side, therefore, operate for convenience, fingerprint sensor be arranged on to the machine of mobile terminal
The left surface or right flank of shell component, therefore, fingerprint sensor is correspondingly disposed in mobile terminal left surface or right side
Face, meet the operating habit of user.By the set-up mode of this fingerprint sensor, the length of mobile terminal product is reduced,
Screen accounting is effectively improved, improves Consumer's Experience.
Brief description of the drawings
Fig. 1 is a kind of hardware architecture diagram for the mobile terminal for realizing each embodiment of the present invention;
Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention;
Fig. 3 is a kind of mobile terminal three-dimensional exploded structural representation with lateral fingerprint module provided in an embodiment of the present invention
Figure;
Fig. 4 is fingerprint module fixed mount three dimensional structure diagram provided in an embodiment of the present invention;
Fig. 5 is case component three dimensional structure diagram provided in an embodiment of the present invention;
Fig. 6 is PCB components three dimensional structure diagram provided in an embodiment of the present invention;
Fig. 7 is a kind of mobile terminal three dimensional structure diagram with lateral fingerprint module provided in an embodiment of the present invention;
Fig. 8 is a kind of optical fingerprint sensor principle schematic that the present invention implements to provide;
Fig. 9 is a kind of capacitive fingerprint sensor principle schematic that the present invention implements to provide;
Figure 10 is mobile terminal fingerprint identification process theory diagram of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In follow-up description, the suffix using such as " module ", " part " or " unit " for representing element is only
Be advantageous to the explanation of the present invention, itself there is no a specific meaning.Therefore, " module ", " part " or " unit " can mix
Ground uses.
Terminal can be implemented in a variety of manners.For example, the terminal described in the present invention can include such as mobile phone, flat board
Computer, notebook computer, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
Media player (Portable Media Player, PMP), guider, wearable device, Intelligent bracelet, pedometer etc. move
Dynamic terminal, and the fixed terminal such as digital TV, desktop computer.
It will be illustrated in subsequent descriptions by taking mobile terminal as an example, it will be appreciated by those skilled in the art that except special
Outside element for moving purpose, construction according to the embodiment of the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, its hardware architecture diagram for a kind of mobile terminal of each embodiment of the realization present invention, the shifting
Dynamic terminal 100 can include:RF (Radio Frequency, radio frequency) unit 101, WiFi module 102, audio output unit
103rd, A/V (audio/video) input block 104, sensor 105, display unit 106, user input unit 107, interface unit
108th, the part such as memory 109, processor 110 and power supply 111.It will be understood by those skilled in the art that shown in Fig. 1
Mobile terminal structure does not form the restriction to mobile terminal, and mobile terminal can be included than illustrating more or less parts,
Either combine some parts or different parts arrangement.
The all parts of mobile terminal are specifically introduced with reference to Fig. 1:
Radio frequency unit 101 can be used for receiving and sending messages or communication process in, the reception and transmission of signal, specifically, by base station
Downlink information receive after, handled to processor 110;In addition, up data are sent to base station.Generally, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, penetrate
Frequency unit 101 can also be communicated by multi-mode auxiliary photo-taking with network and other equipment.Above-mentioned multi-mode auxiliary photo-taking can be with
Using any communication standard or agreement, including but not limited to GSM (Global System of Mobile communication,
Global system for mobile communications), GPRS (General Packet Radio Service, general packet radio service),
CDMA2000 (Code Division Multiple Access 2000, CDMA 2000), WCDMA (Wideband Code
Division Multiple Access, WCDMA), TD-SCDMA (Time Division-Synchronous
Code Division Multiple Access, TD SDMA), FDD-LTE (Frequency Division
Duplexing-Long Term Evolution, FDD Long Term Evolution) and TDD-LTE (Time Division
Duplexing- Long Term Evolution, time division duplex Long Term Evolution) etc..
WiFi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch electricity by WiFi module 102
Sub- mail, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.Although Fig. 1 shows
Go out WiFi module 102, but it is understood that, it is simultaneously not belonging to must be configured into for mobile terminal, completely can be according to need
To be omitted in the essential scope for do not change invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 100
When under the isotypes such as formula, speech recognition mode, broadcast reception mode, by radio frequency unit 101 or WiFi module 102 it is receiving or
It is sound that the voice data stored in memory 109, which is converted into audio signal and exported,.Moreover, audio output unit 103
The audio output related to the specific function that mobile terminal 100 performs can also be provided (for example, call signal receives sound, disappeared
Breath receives sound etc.).Audio output unit 103 can include loudspeaker, buzzer etc..
A/V input blocks 104 are used to receive audio or video signal.A/V input blocks 104 can include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the static images or the view data of video obtained in image capture mode by image capture apparatus (such as camera) are carried out
Reason.Picture frame after processing may be displayed on display unit 106.Picture frame after the processing of graphics processor 1041 can be deposited
Storage is transmitted in memory 109 (or other storage mediums) or via radio frequency unit 101 or WiFi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (voice data), and can be voice data by such acoustic processing.Audio (voice) data after processing can
To be converted to the form output that mobile communication base station can be sent to via radio frequency unit 101 in the case of telephone calling model.
Microphone 1042 can implement various types of noises and eliminate (or suppression) algorithm to eliminate (or suppression) in reception and send sound
Caused noise or interference during frequency signal.
Mobile terminal 100 also includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity transducer can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axles) size of acceleration, size and the direction of gravity are can detect that when static, the application available for identification mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.;
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared ray sensor, will not be repeated here.
Display unit 106 is used for the information for showing the information inputted by user or being supplied to user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used
Forms such as (Organic Light-Emitting Diode, OLED) configures display panel 1061.
User input unit 107 can be used for the numeral or character information for receiving input, and produce the use with mobile terminal
The key signals input that family is set and function control is relevant.Specifically, user input unit 107 may include contact panel 1071 with
And other input equipments 1072.Contact panel 1071, also referred to as touch-screen, collect touch operation of the user on or near it
(for example user uses any suitable objects or annex such as finger, stylus on contact panel 1071 or in contact panel 1071
Neighbouring operation), and corresponding attachment means are driven according to formula set in advance.Contact panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller;Touch controller receives touch information from touch detecting apparatus, and by it
Contact coordinate is converted into, then gives processor 110, and the order sent of reception processing device 110 and can be performed.In addition, can
To realize contact panel 1071 using polytypes such as resistance-type, condenser type, infrared ray and surface acoustic waves.Except contact panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can wrap
Include but be not limited to physical keyboard, in function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc.
One or more, do not limit herein specifically.
Further, contact panel 1071 can cover display panel 1061, detect thereon when contact panel 1071 or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, contact panel 1071 and display panel
1061 be the part independent as two to realize the input of mobile terminal and output function, but in certain embodiments, can
Input and the output function of mobile terminal are realized so that contact panel 1071 and display panel 1061 is integrated, is not done herein specifically
Limit.
Interface unit 108 is connected the interface that can pass through as at least one external device (ED) with mobile terminal 100.For example,
External device (ED) can include wired or wireless head-band earphone port, external power source (or battery charger) port, wired or nothing
Line FPDP, memory card port, the port for connecting the device with identification module, audio input/output (I/0) end
Mouth, video I/0 ports, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 100 or can be with
For transmitting data between mobile terminal 100 and external device (ED).
Memory 109 can be used for storage software program and various data.Memory 109 can mainly include storing program area
And storage data field, wherein, storing program area can storage program area, application program (such as the sound needed at least one function
Sound playing function, image player function etc.) etc.;Storage data field can store according to mobile phone use created data (such as
Voice data, phone directory etc.) etc..In addition, memory 109 can include high-speed random access memory, can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the whole mobile terminal of connection
Individual part, by running or performing the software program and/or module that are stored in memory 109, and call and be stored in storage
Data in device 109, the various functions and processing data of mobile terminal are performed, so as to carry out integral monitoring to mobile terminal.Place
Reason device 110 may include one or more processing units;Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated
Device is managed, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is main
Handle multi-mode auxiliary photo-taking.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) to all parts power supply, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, so as to realize management charging by power-supply management system, put
The function such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 100 can also will not be repeated here including bluetooth module etc..
For the ease of understanding the embodiment of the present invention, the communications network system being based on below to the mobile terminal of the present invention enters
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention, the communication network system
Unite as the LTE system of universal mobile communications technology, the UE that the LTE system includes communicating connection successively (User Equipment, is used
Family equipment) 201, E-UTRAN (Evolved UMTS Terrestrial Radio Access Network, evolved UMTS lands
Ground wireless access network) 202, EPC (Evolved Packet Core, evolved packet-based core networks) 203 and operator IP operation
204。
Specifically, UE201 can be above-mentioned terminal 100, and here is omitted.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connected with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide UE201 to EPC203 access.
EPC203 can include MME (Mobility Management Entity, mobility management entity) 2031, HSS
(Home Subscriber Server, home subscriber server) 2032, other MME2033, SGW (Serving Gate Way,
Gateway) 2034, PGW (PDN Gate Way, grouped data network gateway) 2035 and PCRF (Policy and
Charging Rules Function, policy and rate functional entity) 2036 etc..Wherein, MME2031 be processing UE201 and
The control node of signaling between EPC203, there is provided carrying and connection management.HSS2032 is all to manage for providing some registers
Such as the function of attaching position register (not shown) etc, and preserve some and used about service features, data rate etc.
The special information in family.All customer data can be transmitted by SGW2034, and PGW2035 can provide UE 201 IP
Address is distributed and other functions, and PCRF2036 is strategy and the charging control strategic decision-making of business data flow and IP bearing resources
Point, it selects and provided available strategy and charging control decision-making with charge execution function unit (not shown) for strategy.
IP operation 204 can include internet, Intranet, IMS (IP Multimedia Subsystem, IP multimedia
System) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art it is to be understood that the present invention not only
Suitable for LTE system, other multi-mode auxiliary photo-taking systems, such as GSM, CDMA2000, WCDMA, TD- are readily applicable to
SCDMA and following new network system etc., are not limited herein.
The each embodiment of the inventive method is proposed based on the above-mentioned hardware configuration of mobile terminal 100, communications network system.
Embodiment 1
As shown in figure 3, the invention provides a kind of lateral fingerprint recognition module, including fingerprint sensor 311, fingerprint module
Fixed mount 310 and PCB components 330, the fingerprint sensor 311 are arranged on casing by the fingerprint module fixed mount 310
One of side of component 320;The fingerprint sensor 311 is electrically connected with the PCB components 330.
As shown in figure 4, the fingerprint sensor 311 is fixedly installed in described one end of fingerprint module fixed mount 310, the other end is set
Put on the PCB components 330, signal wire 312 is provided with the main body of the fingerprint module fixed mount 310, the fingerprint passes
Sensor 311 is connected with the fingerprint identification processor 331 on PCB components 330 by the signal wire 312.
Wherein, the main body of the fingerprint module fixed mount 310 be arranged on the frame of the case component 320 and center it
Between.The main body of the fingerprint module fixed mount 310 is flexible PCB, using polyimides or polyester film as made of base material one
Kind has height reliability, excellent flexible printed circuit.Abbreviation soft board or FPC, have Distribution density it is high, it is in light weight,
The characteristics of thickness of thin.
Wherein, the fingerprint module fixed mount 310 is fixedly installed in the frame by gluing, screw or rivet
Side.
As shown in figure 5, the case component 320 includes frame, the wherein side of the frame is provided with the fingerprint
The mounting hole 321 of sensor 311, the fingerprint sensor 311 are arranged on the installation by the fingerprint module fixed mount 310
In hole 321.
As shown in fig. 6, the PCB components 330 are arranged on inside the case component 320, set on the PCB components 330
Fingerprint identification processor 331 and memory are equipped with, the fingerprint sensor 311 and the fingerprint identification processor 331 are electrical
Connection.
Specifically, as shown in Figure 10, user when in use, is taken the fingerprint image information, from finger by fingerprint sensor 31
Characteristic information is obtained in print image information, characteristic information and fingerprint base property data base are subjected to characteristic matching, if
It is that the match is successful, then certification is identified by, and is added to property data base.
When information in fingerprint carries out feature extraction, the general characteristic and local feature of fingerprint are mainly obtained.
Firstth, general characteristic refers to those features observed with pleasing to the eye direct can, including:
Line shape:Including three kinds of ring-like (loop), arcuate (arch), screw type (whorl) base patterns, other fingerprint patterns
It is all based on these three basic patterns.
Mode Areas (Pattern Area):Refer to the region for including general characteristic on fingerprint, i.e. slave pattern area just can
It is to belong to that a type of, data in some algorithm for recognizing fingerprint use pattern areas to tell fingerprint.SecureTouch's
Algorithm for recognizing fingerprint has used acquired complete finger print to be analyzed and identified rather than just Mode Areas.
Core point (Core Point):Positioned at the progressive center of fingerprint lines, it makees when reading fingerprint and comparing fingerprint
For reference point.Many algorithms are based on core point, both can only handle and identify the fingerprint with core point.Core point for
SecureTouch algorithm for recognizing fingerprint is critically important, but the fingerprint of no core point it remain able to handle.
Triangulation point (Delta):Assembled positioned at first bifurcation since core point or breakpoint or two lines
Place, isolated point, turn back place, or points to these singular points.Triangulation point is provided in place of the beginning of counting tracking of fingerprint lines.
Line number (Ridge Count):Refer to the quantity of fingerprint lines in Mode Areas.It is general first when calculating the line number of fingerprint
The line number of fingerprint is regarded as in connection core point and triangulation point, the quantity that this line intersects with fingerprint lines.
Secondth, local feature refers to the feature of the node on fingerprint, and there is the node of certain feature to be referred to as characteristic point for these.
Two pieces of fingerprints often have identical general characteristic, but their local feature -- characteristic point, but can not possibly be identical.
Fingerprint lines is not continuous, smooth straight, but interruption, bifurcated or discounting often occurs.These breakpoints,
Bifurcation and turning point are known as " characteristic point ".It is exactly the confirmation that these characteristic points provide fingerprint uniqueness.
Characteristic point has following several types, most typically destination node and bifurcation.
Destination node (Ending) -- a lines terminates herein.
Bifurcation (Bifurcation) -- a lines is broken up into the lines of two or more herein.
Ramification point (Ridge Divergence) -- two parallel lines separate herein.
Isolated point (Dot or lsland) -- an especially short lines, so that as a bit.
Circling point (Enc losure) -- a lines is broken up into after two, has merging to turn into one immediately, such shape
Into a small ring be referred to as circling point.
Short grain (Short Ridge) -- one end is shorter but is unlikely to turn into the lines of a bit.
Direction (Orientation) -- node can be towards certain direction.
In addition to characteristic point, local feature also includes:
Curvature (Curvature):The speed that ridge orientation changes is described.
Position (Position):The position of node is described by (x, y) coordinate, can be absolute or phase
For triangulation point or characteristic point.
The feature critical of fingerprint image is the segmentation of fingerprint image, and poor quality in fingerprint image, the later stage can not be located
The image-region of reason makes a distinction with effective coverage, post-processing is focused on effective coverage, there is provided feature extraction precision, subtracts
Few processing time.At present, conventional dividing method has following several:
(1) dividing method based on directional diagram:According to the direction of texture on image, finger-print region and background area are distinguished,
Then according to different region segmentations.The directions the such as if grain of fingerprint is discontinuous, the gray scale of image is single are difficult to correctly estimate
Meter or some regional changes are violent, then the method can not effectively be split.
(2) dividing method of the local gray level average based on image, Local standard deviation and locally coherence:Utilize fingerprint image
As the gray average of regional area, standard deviation and uniformity are as feature, then using linear classification come Segmentation Algorithm of Fingerprint image.It is local
The uniformity of image shows the texture trend of topography, but these features can not make effective table for fuzzy region
Show.
(3) multi-stage division method:Fingerprint image is exactly subjected to multi-stage division, reduces the scope of segmentation step by step.Such as:First
The background area of level segmentation image, the second level are partitioned into fuzzy region in foreground area, and the third level is split from fuzzy region
Go out irrecoverable region.
(4) dynamic threshold segmentation method:Threshold value is automatically adjusted according to the local gray level contrast of each sub-block, based on pixel
Variance is split.This method is simple, quick, segmentation effect is good.Specially:Divide an image into nonoverlapping each sub-block;
Calculate the average gray and gray variance of each sub-block;Calculate the difference between variance maxima and minima;Define dynamic threshold
Value, and segmentation figure picture;Smooth operation, remove isolated block.
After Fingerprint Image Segmentation, it is also necessary to carry out Fingerprint enhancement, exactly change fuzzy fingerprint texture
Become apparent from, such as:The fingerprint ridge of fracture is attached, the streakline of connection is distinguished, and in this process also
Need to keep original fingerprint image structure, image is more easily extracted characteristic information.At present, there are following several fingerprint images
Enhancement Method:
(1) using smoothing operator and in the image enhaucament perpendicular to the direction of crestal line using enhancing operator from crestal line direction
Algorithm.This algorithm is right as rain in theory, but the parameter that estimate crestal line width and filtering is but relatively more tired
It is difficult.If parameter Estimation is wrong, crestal line can be caused to produce pollution, and can be produced partially for fingerprint creasy on crestal line
Difference.
(2) Fingerprint Enhancement Algorithm based on Gabor filter.This algorithm is first carried out before using a upper method
Filtering.Fingerprint image is divided into different regions, effectively weakens the noise perpendicular to leading streakline direction, directional information is improved and carries
The reliability taken.
(3) method of Fourier enhancing post filtering.Consideration based on time and treatment effect, first using Fourier transform come
Strengthen fingerprint image, the streakline of fingerprint image is then repaired using wave filter.Specially:First, multi-stage division, which goes out, to recover
Region unit, the block pixel is changed into plural form;Using DFT, filter the too high or too low frequency band of frequency and make an uproar
Point;Utilization orientation wave filter eliminates the fracture of fingerprint and fork connects.
After segmentation and enhancing, the feature extraction of fingerprint image can be carried out, main feature extracting method has two
Kind.
(1) extracted on the basis of refined image
Firstly, it is necessary to carry out micronization processes to fingerprint image, fingerprint ridge is attenuated, it is then each on streakline by analyzing
Tie point on 8 directions of individual pixel is connected to judge the type of the pixel, position by analyzing the pixel
The streakline section that connects sentences the direction of breakpoint bit, and then extracts characteristic point.The advantages of this method is present is that principle is fairly simple
And easily realize;Shortcoming is to need to carry out micronization processes to substantial amounts of pixel, and the time is slower, when picture quality is not high,
Micronization processes can produce many impurity items.
(2) directly extracted from original-gray image
Using fingerprint orientation, the streakline of fingerprint is tracked on gray level image, certain length is often tracked, according to image
Extreme value is projected to determine the position of streakline, can not be projected when running into end points and bifurcation, tracking process terminates automatically.This side
The advantages of method is that have higher efficiency and precision;Shortcoming be implement it is more complicated, it is necessary to substantial amounts of computing, and when figure
As it is of low quality when, the directional diagram obtained may be unreliable, and deviation occurs in the streakline for causing to track out.
By the fingerprint image that fingerprint sensor obtains is pre-processed and feature extraction after, it is necessary to special with fingerprint
The characteristic prestored in sign database carries out characteristic matching, and fingerprint image matching refers to be gone out with current finger print image zooming-out
Fingerprint characteristic be compared with the feature being pre-stored in advance in fingerprint database, so as to judge the two fingerprint characteristics whether one
Cause, i.e., whether derive from same root finger.As used the matching process based on minutia, i.e. fingerprint image after extraction refinement
End points and bifurcation information, matching is realized using certain algorithm.Following several finger print characteristic matching methods can also be used:
(1) it is based on Point Pattern Matching algorithm.Current most of algorithms are all based on the feature of minutiae point to be matched.Should
Matching is divided into following several types:Object based on matching can be divided into 1 pair 1 and be matched and be matched 1 pair more;Based on
The adaptedness matched somebody with somebody can be divided into the matching of elasticity and rigid matching.
(2) it is based on texture pattern matching algorithm.The effective coverage that Fingerprint Image Segmentation is come out first carries out gridding, so
Filtered afterwards using Gbaor from 8 different directions of pixel and handle the streakline region, obtain the global information and part of fingerprint
Information, and change into a characteristic information, finally compare image individual features information in current finger print image and database
Difference.The algorithm can solve the difficulty of images match that second-rate and region minutiae point is difficult to extract.But this method
Need to carry out substantial amounts of computing to each pixel, and the matching of the bigger fingerprint image of deformation can not be handled.
In technical scheme, fingerprint sensor (also known as fingerprint Sensor) is the crucial device for realizing fingerprint automatic data collection
Part.Fingerprint sensor presses sensing principle, i.e. fingerprint imaging principle and technology, is divided into optical fingerprint sensor, semicoductor capacitor passes
Sensor, semiconductor heat dependent sensor, semiconductor pressure sensor, ultrasonic sensor and radio frequency sensor etc..Fingerprint sensing
The manufacturing technology of device is a comprehensive new and high technology strong, technical sophistication degree is high, manufacturing process is difficult.Semiconductor fingerprint sensor
Because its manufacturing process is complicated, sensing unit is more in unit area, is manufactured comprising high-end IC designing techniques, large scale integrated circuit
Technology, IC chip encapsulation technology etc..One wafer surface less than 0.5 square centimeter is integrated with the semiconductor of more than 10000
Sensing unit, inside further comprises auto-gain circuit and logic control chip, and serially, parallel, the interface circuit such as USB.
The high sensitivity of semiconductor fingerprint sensor, resolution ratio have also reached 500dpi or more at present.Its function has breached list
One sensing capability, coordinate plus software, omnirange device can be used as.Semiconductor fingerprint sensor is at present towards miniaturization
Development.It is mostly slidingtype SWIPE chips at present before 2004 based on the square of 1 square centimeter of square.Global minimum cunning
Dynamic formula acquisition chip only has 12 × 5mm, is 1610 released recently by Authentec.
Wherein, the fingerprint sensor 311 is optical fingerprint sensor, the corresponding fingerprint identification processor 331
It is optical fingerprint processor, the optical fingerprint processor receives the optical finger print that the optical fingerprint sensor obtains
Information, it is compared with the fingerprint characteristic data storehouse in the memory after analyzing and processing, verifies and identify user identity.
Optical fingerprint sensor is mainly taken the photograph and principle of reflection using the folding of light, and light is from bottom directive prism, and through rib
Mirror goes out, the light of the injection angle reflected and the bright and dark light reflected back on the rough strain line of finger surface fingerprint
Will be different;CMOS or CCD optics will be collected into the pictorial information of different bright-dark degrees, just complete fingerprint
Collection.As shown in figure 8, light source 31102 launches light through prism 31103 to finger 400, pass through after finger surface is launched
One imaging sensor 31101 gathers transmitting light, forms fingerprint image.
But prism in optical fingerprint sensor being present, its volume is larger, and generally several times of semiconductor are even 10 times big
It is small, so limiting its application on mini-plant.No volumetric constraint is used in the big equipment such as similar attendance recorder, gate inhibition
The problem of, but used in USB flash disk, mobile hard disk, handheld device, volume is into maximum obstacle, so optical fingerprint sensor
Also there is slidingtype.
In addition, semiconductor fingerprint sensor can be condenser type and inductance type, either condenser type or inductance type, it is former
Manage it is similar, on " flat board " that one piece is integrated with thousands of semiconductor devices, finger plaster thereon with which constitute electric capacity (electricity
Sense) another side, because finger flat is rough and uneven in surface, the actual range size that flat board is contacted at salient point and at concave point just differs
Sample, the capacitive/inductive numerical value of formation is also just different, and equipment around this principle collects the different numerical value collected,
Just complete the collection of fingerprint.As shown in figure 9, finger 400 is pressed against on electric capacity or the one of pole plate of inductance, due to referring to
Line is uneven, and the electric capacity or inductance value formed between another pole plate is different, by being formed on another pole plate
Electrod-array 400, so as to obtain with the electric capacity of fingerprint matching or inductance value signal, so as to obtain finger print information.
Wherein, the fingerprint sensor 311 is inductance type fingerprint sensor, the corresponding fingerprint identification processor 331
It is inductance type fingerprint processor, the inductance type fingerprint processor receives the capacitive fingerprint that the inductance type fingerprint sensor obtains
Information, it is compared with the fingerprint characteristic data storehouse in the memory after analyzing and processing, verifies and identify user identity.
Wherein, the fingerprint sensor 311 is capacitive fingerprint sensing device, the corresponding fingerprint identification processor 331
It is capacitance type fingerprint processor, the capacitance type fingerprint processor receives the capacitive fingerprint that the capacitive fingerprint sensing device obtains
Information, it is compared with the fingerprint characteristic data storehouse in the memory after analyzing and processing, verifies and identify user identity.Specifically
Ground, finger form a pole of electric capacity, and the sensor array of the silicon of another side one forms another pole of electric capacity, carried by human body micro-
The distance between micro-current, the Wave crest and wave trough and inductor of fingerprint is formed between electric field and capacitance sensor and forms electric capacity difference of height,
So as to depict fingerprint image.
In addition to above-mentioned optical fingerprint sensor and semiconductor fingerprint sensor, in addition to some following fingerprint sensings
Device:
Heat seeking fingerprint sensor:Fingerprint is detected according to the temperature difference of dermatoglyph and sensor contact portion.
Ultrasonic fingerprint sensor:Based on skin, fingerprint face and air to different sound reflecting impedances caused by ultrasonic wave come
Detect fingerprint.
Infrared fingerprint sensor:Fingerprint image is measured and obtains using the physical property of finger infrared radiation.
Pressure-sensitive fingerprint sensor:Fingerprint image is calculated by the pressure value for measuring each pixel of finger.
Radio frequency identification fingerprint sensor:By the emission of radio frequency signals of a low frequency to skin corium.Due to human body cell
Liquid is conductive, reads the Electric Field Distribution of skin corium and obtains the lines of whole skin corium, and by reading the electricity of skin corium
Field distribution and obtain the most accurate image of whole skin corium.
Wherein, the fingerprint sensor 311 is heat seeking fingerprint sensor, the corresponding fingerprint identification processor 331
It is heat seeking fingerprint processor, the heat seeking fingerprint processor receives the thermal sensation fingerprint that the heat seeking fingerprint sensor obtains
Information, it is compared with the fingerprint characteristic data storehouse in the memory after analyzing and processing, verifies and identify user identity.
Embodiment 2
Based on same inventive concept, another aspect of the present invention, a kind of mobile terminal is additionally provided, the mobile terminal
Case component side is provided with above-mentioned lateral fingerprint recognition module.
Existing main mobile terminal fingerprint identification module has FPC1020 and its upgrade version and Touch ID,
For Touch ID, volume is larger for FPC1020 and its upgrade version, therefore, typically sets FPC1020 and its upgrade version
At the terminal back side, the area occupied by Sensor in positive fingerprint recognition can be bigger, can make it that terminal bottom is oversize, and puts
Fingerprint identification function then can be also realized at back, convenience can ensure frontal design with also less poor in practicality
Integrality, back fingerprint recognition can be selected naturally.Touch ID etc. are integrated under Home key, and slide fingerprint identification must be from
Upper slide downward, when finger streaks sensor, meeting opponent's fingering row progressive scan, thus to require that you must fix
Posture, fixed-direction and finger cover whole Sensor and can be just identified.So require the scratching of your anchor, it is relative and
Speech, poor user experience.
Fingerprint identification function module is more and more ripe, and it is different to be not only in the selection of fingerprint identification function module,
There is different in the selection of fingerprint recognition Sensor position, now for existing front identification and back side identification method
Uniformly different experience.
For example, fingerprint recognition Sensor is integrated in Home key by positive identification method, can be more directly perceived in interaction
See whether finger is pressed on Sensor, and to be then human eye cannot be directly viewed at back, may be needed when using first time
Adapt to, then come due to Sensor be it is interior fall in, so being easier to touch, there will not be very poor experience.
For example, when single hand grip, the big user of hand locks and is easier in front or back side solution.And the back side
Unblock typically can be in camera bottom, and its finger can not touch back Sensor position for the small user of hand, this
With regard to needs, they adjust the grip of oneself, positive then this problem would not occur.
From the foregoing it can be that front identification or back side identification method can bring certain ask on Consumer's Experience
Topic, back side identification can not be observed due to user, it is therefore desirable to which certain time adapts to, although and front identification can be observed
Arrive, but be typically combined together with Home key, have large effect to the outward appearance of terminal.
No matter use what any fingerprint sensor, from user perspective use with regard to two kinds of typing modes:Push type with
Slidingtype.
Slidingtype streaks finger from sensor, and system can just obtain the fingerprint of whole finger.When finger is by forcing up,
Complete image can not disposably be collected.Finger is needed to streak collection surface in collection, what is collected when being streaked to finger is every
One piece of fingerprint image carries out snapshot, and these snapshots are spliced again, could form complete fingerprint image.Sliding sensor,
Slide from top to bottom, then complete fingerprint image mosaic.The advantages of slidingtype is that cost is low, easy of integration, can gather the image of large area, application
Traditional characteristic point algorithm, but shortcoming is to need client to have a coherent specification action collection image, and experience effect is poor,
It is less successful in application before.
Push type is that finger is lain in equipment to obtain fingerprint image.Typically in order to obtain the fingerprint of whole finger,
The sensor bigger than finger must be used, whole finger is pressed against on sensor simultaneously.The advantages of push type is client's body
Test, only with can collection image is once pressed, matched with client in the operating habit that mobile terminal is applied, without education visitor
Family.Shortcoming is:Cost is high, and it is big to integrate difficulty, and it is relatively small once to gather image area, without enough characteristic points, it is necessary to
Complicated image alignment algorithm is identified.
Based on fingerprint front identification or back side identification method,Fingerprint is knownOther cover plate classification:Sapphire, coating type
(Coating), glass, ceramics etc..
Sapphire hardness is high, corrosion-resistant, but has that cost is higher, the indifferent weakness of drop resistant,
Easily abrasion be present and lacked by sweat corrosion etc. in coating type back side fingerprinting scheme because coating hardness is not high
Point, using the mobile terminal of the program, occurred using various cuts are had after a period of time unavoidably.It is normal to coat fingerprinting scheme
Used in the back side of mobile terminal, and texture is slightly worse, is easier to destroy the overall appearance at the back side.And sapphire cover plate push type fingerprint
Identifying schemes are applied in the front of mobile terminal, and fingerprint is placed on into front can not only allow the back side of mobile terminal more aesthetically pleasing,
More meet the use habit of user and aesthetic simultaneously.
In summary, positive fingerprint recognition is more popular with users, but sapphire cover plate materials price is high, and penetrability is poor,
It is high to be applicable sapphire fingerprint recognition chip price, simultaneously because its toughness is slightly worse, thickness is most thin can only to accomplish 0.175mm, therefore
Occur two kinds of sapphire cover plate alternative materials of zirconia ceramics and safety glass again.
It is simple that safety glass possesses manufacture craft, low cost and other advantages, but hardness is far away from sapphire, easily by by higher
The fine dust mill flower of hardness, dielectric constant, bending strength are also poor, and thickness can not further do that thin (most minimal thickness is at present
0.175mm), recognition speed is influenceed, it is impossible to preferable sapphire alternative materials at last.
Zirconia ceramics material dielectric constant is sapphire 3 times, and this characteristic makes fingerprint recognition sensitiveer, and success rate is more
Height, and because toughness is higher than more than 3 times of sapphire, zirconium oxide protective layer is in the case where ensureing drop resistant intensity, most thin volume production thickness at present
As little as 0.1mm, and if when thickness accomplishes identical with sapphire, now intensity, crash resistance will be significantly better than sapphire.It is more important
, the totle drilling cost of zirconium oxide but only has sapphire 1/4, is to substitute sapphire high performance-price ratio scheme.
Back side Coating (plated film) modes utilization rate is high, and substantially each supplier can support.But preposition cover plate mode
Fingerprint sensor, the supplier for being capable of volume production are very few.To find out its cause, the ID designs and hardware of Coating modes are realized
It is easier, industrial chain upstream and downstream is also easier to coordinate;Second, wanting to realize front glass cover plate, technical elements must pull against
The signal to noise ratio problem that thickness of glass is brought.
The fingerprint sensor of preposition cover plate needs to be seated under glass material, could be perfect harmony with glass screen, this
Sample just unavoidably requires that fingerprint sensor signal can penetrate glass cover-plate well.And the thickness of glass cover-plate be desirable to it is thicker
Better, because thicker glass, cost is lower, and processing loss is smaller, and intensity and reliability are higher.Thus it is possible to solve more thickness
Glass cover-plate signal is penetrated and identified, is a key technical index of fingerprint chip industry.In the market, it would be preferable to support thick
The fingerprint chip of glass cover-plate is few, especially penetrates the fingerprint of heavy sheet glass cover plate (200 microns -400 microns even thicker)
Chip development, main difficulty are:1) the transmitting-receiving power of analog circuit is, it is necessary to accomplish sufficiently large;2) signal to noise ratio compacting, it is necessary to than
Coating schemes improve at least two orders of magnitude;3) fingerprint image is brought very because signal weakens with aliasing in space
Obvious loss by algorithm, it is necessary to made up, and the design of algorithm and exploitation, itself is another field again, chip
Chevron Research Company (CRC) is difficult to possess powerful back-end algorithm development ability;4) in order to make up the influence that thickness of glass is brought, packaging technology
Need targetedly to be adjusted, cost, yield and production capacity are all a test.
Technical problem existing for the above-mentioned fingerprint module for analyzing the identification of the existing back side or positive identification method and
Defect, the side of the case component that fingerprint module is arranged on to mobile terminal product of the technical scheme creativeness of the application are excellent
Choosing is in left and right sides, due in order to ensure that mobile terminal has relatively thin thickness, then, can be preferably slidingtype finger
Line identification sensor, user can just complete fingerprint image acquisition by being rubbed at the edge of terminal, this operation
Mode overcomes existing front identification or during the identification method of the back side, the problem of slidingtype mode of operation poor user experience, if
Be not consider the influence for termination thickness, fingerprint sensor can also be arranged to push type, no matter the hand size of user,
It is to operate very easily for a user just as the power switch button of sidepiece.
Specifically, as shown in fig. 7, the case component 320 of mobile terminal includes center and frame, fingerprint module fixed mount
310 main body is arranged between the frame and center of the case component 320;Fingerprint sensor 311 passes through the fingerprint module
Fixed mount 31O is arranged on one of side of case component 320;The fingerprint sensor 311 and the electricity of PCB components 330
Property connection.
Wherein, the fingerprint module fixed mount 310 is fixedly installed in the frame by gluing, screw or rivet
Side.The mounting hole 321 of the fingerprint sensor 311 is provided with the wherein side of the frame, the fingerprint sensor 311 is logical
The fingerprint module fixed mount 310 is crossed to be arranged in the mounting hole 321.
Wherein, the PCB components 330 are arranged on inside the case component 320, and finger is provided with the PCB components 330
Line recognition processor 331 and memory, the fingerprint sensor 311 are electrically connected with the fingerprint identification processor 331.
The invention provides a kind of laterally fingerprint module and the mobile terminal with lateral fingerprint module, by fingerprint sensing
Device is arranged on the side of mobile terminal, the side of mobile terminal, includes left surface, right flank, top side face, bottom side;Generally I
The buttons such as power supply are arranged on left and right side, therefore, operate for convenience, fingerprint sensor be arranged on to the machine of mobile terminal
The left surface or right flank of shell component, therefore, fingerprint sensor is correspondingly disposed in mobile terminal left surface or right side
Face, meet the operating habit of user.By the set-up mode of this fingerprint sensor, the length of mobile terminal product is reduced,
Screen accounting is effectively improved, improves Consumer's Experience.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements not only include those key elements, and
And also include the other element being not expressly set out, or also include for this process, method, article or device institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Other identical element also be present in the process of key element, method, article or device.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words
Going out the part of contribution can be embodied in the form of software product, and the computer software product is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone, computer, clothes
Be engaged in device, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of lateral fingerprint recognition module, it is characterised in that including fingerprint sensor, fingerprint module fixed mount and PCB groups
Part, the fingerprint sensor is by the fingerprint module fixed mount setting in one of side of case component;The fingerprint
Sensor is electrically connected with the PCB components.
2. a kind of lateral fingerprint recognition module according to claim 1, it is characterised in that the PCB components are arranged on institute
State inside case component, fingerprint identification processor and memory, the fingerprint sensor and institute are provided with the PCB components
State fingerprint identification processor electric connection.
A kind of 3. lateral fingerprint recognition module according to claim 2, it is characterised in that the fingerprint module fixed mount one
The fingerprint sensor is fixedly installed in end, and the other end is arranged on the PCB components, in the main body of the fingerprint module fixed mount
Signal wire is provided with, the fingerprint sensor is connected with the fingerprint identification processor by the signal wire.
4. a kind of lateral fingerprint recognition module according to claim 1, it is characterised in that the fingerprint module fixed mount
Main body is arranged between the frame and center of the case component.
5. a kind of lateral fingerprint recognition module according to claim 4, it is characterised in that the fingerprint module fixed mount leads to
Cross gluing, screw or rivet is fixedly installed on the inner side of the frame.
6. a kind of lateral fingerprint recognition module according to claim 3, it is characterised in that the fingerprint sensor is optics
Formula fingerprint sensor, the corresponding fingerprint identification processor are optical fingerprint processors, the optical fingerprint processor
Receive the optical finger print information that the optical fingerprint sensor obtains, after analyzing and processing with the fingerprint characteristic in the memory
Database is compared, and verifies and identifies user identity.
7. a kind of lateral fingerprint recognition module according to claim 3, it is characterised in that the fingerprint sensor is electric capacity
Formula fingerprint sensor, the corresponding fingerprint identification processor are capacitance type fingerprint processors, the capacitance type fingerprint processor
Receive the capacitive fingerprint information that the capacitive fingerprint sensing device obtains, after analyzing and processing with the fingerprint characteristic in the memory
Database is compared, and verifies and identifies user identity.
8. a kind of lateral fingerprint recognition module according to claim 3, it is characterised in that the fingerprint sensor is thermal sensation
Formula fingerprint sensor, the corresponding fingerprint identification processor are heat seeking fingerprint processors, the heat seeking fingerprint processor
Receive the thermal sensation finger print information that the heat seeking fingerprint sensor obtains, after analyzing and processing with the fingerprint characteristic in the memory
Database is compared, and verifies and identifies user identity.
9. a kind of lateral fingerprint recognition module according to claim 3, it is characterised in that the fingerprint sensor is inductance
Formula fingerprint sensor, the corresponding fingerprint identification processor are inductance type fingerprint processors, the inductance type fingerprint processor
Receive the capacitive fingerprint information that the inductance type fingerprint sensor obtains, after analyzing and processing with the fingerprint characteristic in the memory
Database is compared, and verifies and identifies user identity.
10. a kind of mobile terminal, it is characterised in that the case component side of the mobile terminal is set just like claim 1-9
Lateral fingerprint recognition module described in any one.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710928909.7A CN107506757A (en) | 2017-09-30 | 2017-09-30 | A kind of lateral fingerprint module and the mobile terminal with lateral fingerprint module |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710928909.7A CN107506757A (en) | 2017-09-30 | 2017-09-30 | A kind of lateral fingerprint module and the mobile terminal with lateral fingerprint module |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107506757A true CN107506757A (en) | 2017-12-22 |
Family
ID=60700598
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710928909.7A Pending CN107506757A (en) | 2017-09-30 | 2017-09-30 | A kind of lateral fingerprint module and the mobile terminal with lateral fingerprint module |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107506757A (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107967469A (en) * | 2018-01-24 | 2018-04-27 | 四川政安通科技有限公司 | With reference to the fingerprint method of sampling of vena metacarpea |
CN108228301A (en) * | 2018-01-03 | 2018-06-29 | 努比亚技术有限公司 | The method, apparatus and computer readable storage medium of the long sectional drawing of screen interface |
CN108683756A (en) * | 2018-04-20 | 2018-10-19 | Oppo广东移动通信有限公司 | Fingerprint recognition component, display device and electronic device |
CN108873005A (en) * | 2018-06-01 | 2018-11-23 | Oppo广东移动通信有限公司 | Proximity test method and device, electronic device, storage medium and equipment |
CN108959885A (en) * | 2018-06-27 | 2018-12-07 | 北京小米移动软件有限公司 | Terminal, the control method of terminal, the manufacturing method of terminal and storage medium |
CN109165497A (en) * | 2018-10-09 | 2019-01-08 | 深圳市振华通信设备有限公司 | A kind of unlocking method and communicating terminal of bio-identification |
CN109376657A (en) * | 2018-10-25 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method, electronic device and storage medium |
CN109919136A (en) * | 2019-03-27 | 2019-06-21 | 京东方科技集团股份有限公司 | A kind of lines identification mould group and display device |
CN110378274A (en) * | 2019-07-15 | 2019-10-25 | 深圳市迪安杰智能识别科技有限公司 | A kind of living body finger print recognition methods, device and computer readable storage medium |
CN112395899A (en) * | 2019-08-01 | 2021-02-23 | Oppo(重庆)智能科技有限公司 | Electronic device, control method and device thereof, and computer-readable storage medium |
SE2051062A1 (en) * | 2020-09-10 | 2022-03-11 | Fingerprint Cards Anacatum Ip Ab | Fingerprint sensor arrangement with different measurement circuitry configurations |
US11538267B2 (en) | 2020-09-10 | 2022-12-27 | Fingerprint Cards Anacatum Ip Ab | Fingerprint sensor with differently sized sensing structures |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2004098083A1 (en) * | 2003-04-25 | 2004-11-11 | Silicon Image Works | A mobile phone comprising recognition sensor of fingerprint |
CN104615979A (en) * | 2015-01-27 | 2015-05-13 | 华进半导体封装先导技术研发中心有限公司 | Fingerprint identification module and encapsulation method thereof, and fingerprint identification module group and encapsulation method thereof |
CN204375609U (en) * | 2014-12-12 | 2015-06-03 | 联想(北京)有限公司 | A kind of button and electronic equipment |
CN105447486A (en) * | 2016-01-18 | 2016-03-30 | 宸盛光电有限公司 | A fingerprint identification apparatus and an electronic apparatus having the fingerprint identification apparatus |
CN105867547A (en) * | 2016-04-21 | 2016-08-17 | 南昌欧菲生物识别技术有限公司 | Fingerprint module and electronic device |
CN106295589A (en) * | 2016-08-16 | 2017-01-04 | 广东欧珀移动通信有限公司 | Fingerprint module and terminal unit and the processing method of this fingerprint module with it |
CN106446853A (en) * | 2016-09-30 | 2017-02-22 | 维沃移动通信有限公司 | Fingerprint module assembly structure and mobile terminal |
CN106650692A (en) * | 2016-12-30 | 2017-05-10 | 南昌欧菲光科技有限公司 | Fingerprint identification module and electronic device |
CN106850900A (en) * | 2017-03-31 | 2017-06-13 | 西安易朴通讯技术有限公司 | A kind of electronic equipment |
-
2017
- 2017-09-30 CN CN201710928909.7A patent/CN107506757A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2004098083A1 (en) * | 2003-04-25 | 2004-11-11 | Silicon Image Works | A mobile phone comprising recognition sensor of fingerprint |
CN204375609U (en) * | 2014-12-12 | 2015-06-03 | 联想(北京)有限公司 | A kind of button and electronic equipment |
CN104615979A (en) * | 2015-01-27 | 2015-05-13 | 华进半导体封装先导技术研发中心有限公司 | Fingerprint identification module and encapsulation method thereof, and fingerprint identification module group and encapsulation method thereof |
CN105447486A (en) * | 2016-01-18 | 2016-03-30 | 宸盛光电有限公司 | A fingerprint identification apparatus and an electronic apparatus having the fingerprint identification apparatus |
CN105867547A (en) * | 2016-04-21 | 2016-08-17 | 南昌欧菲生物识别技术有限公司 | Fingerprint module and electronic device |
CN106295589A (en) * | 2016-08-16 | 2017-01-04 | 广东欧珀移动通信有限公司 | Fingerprint module and terminal unit and the processing method of this fingerprint module with it |
CN106446853A (en) * | 2016-09-30 | 2017-02-22 | 维沃移动通信有限公司 | Fingerprint module assembly structure and mobile terminal |
CN106650692A (en) * | 2016-12-30 | 2017-05-10 | 南昌欧菲光科技有限公司 | Fingerprint identification module and electronic device |
CN106850900A (en) * | 2017-03-31 | 2017-06-13 | 西安易朴通讯技术有限公司 | A kind of electronic equipment |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108228301A (en) * | 2018-01-03 | 2018-06-29 | 努比亚技术有限公司 | The method, apparatus and computer readable storage medium of the long sectional drawing of screen interface |
CN107967469A (en) * | 2018-01-24 | 2018-04-27 | 四川政安通科技有限公司 | With reference to the fingerprint method of sampling of vena metacarpea |
CN107967469B (en) * | 2018-01-24 | 2021-11-05 | 山东承势电子科技有限公司 | Fingerprint sampling method |
CN108683756A (en) * | 2018-04-20 | 2018-10-19 | Oppo广东移动通信有限公司 | Fingerprint recognition component, display device and electronic device |
CN108873005B (en) * | 2018-06-01 | 2021-11-02 | Oppo广东移动通信有限公司 | Proximity detection method and apparatus, electronic apparatus, storage medium, and device |
CN108873005A (en) * | 2018-06-01 | 2018-11-23 | Oppo广东移动通信有限公司 | Proximity test method and device, electronic device, storage medium and equipment |
CN108959885A (en) * | 2018-06-27 | 2018-12-07 | 北京小米移动软件有限公司 | Terminal, the control method of terminal, the manufacturing method of terminal and storage medium |
CN108959885B (en) * | 2018-06-27 | 2023-10-20 | 北京小米移动软件有限公司 | Terminal, control method for terminal, manufacturing method for terminal, and storage medium |
CN109165497A (en) * | 2018-10-09 | 2019-01-08 | 深圳市振华通信设备有限公司 | A kind of unlocking method and communicating terminal of bio-identification |
CN109376657A (en) * | 2018-10-25 | 2019-02-22 | Oppo广东移动通信有限公司 | Fingerprint identification method, electronic device and storage medium |
CN109919136A (en) * | 2019-03-27 | 2019-06-21 | 京东方科技集团股份有限公司 | A kind of lines identification mould group and display device |
CN109919136B (en) * | 2019-03-27 | 2021-01-22 | 京东方科技集团股份有限公司 | Grain identification module and display device |
US11106881B2 (en) | 2019-03-27 | 2021-08-31 | Chengdu Boe Optoelectronics Technology Co., Ltd. | Print recognition module and display device |
CN110378274A (en) * | 2019-07-15 | 2019-10-25 | 深圳市迪安杰智能识别科技有限公司 | A kind of living body finger print recognition methods, device and computer readable storage medium |
CN112395899A (en) * | 2019-08-01 | 2021-02-23 | Oppo(重庆)智能科技有限公司 | Electronic device, control method and device thereof, and computer-readable storage medium |
SE2051062A1 (en) * | 2020-09-10 | 2022-03-11 | Fingerprint Cards Anacatum Ip Ab | Fingerprint sensor arrangement with different measurement circuitry configurations |
SE544317C2 (en) * | 2020-09-10 | 2022-04-05 | Fingerprint Cards Anacatum Ip Ab | Fingerprint sensor arrangement with different measurement circuitry configurations |
US11501554B2 (en) | 2020-09-10 | 2022-11-15 | Fingerprint Cards Anacatum Ip Ab | Fingerprint sensor with different measurement circuitry configurations |
US11538267B2 (en) | 2020-09-10 | 2022-12-27 | Fingerprint Cards Anacatum Ip Ab | Fingerprint sensor with differently sized sensing structures |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107506757A (en) | A kind of lateral fingerprint module and the mobile terminal with lateral fingerprint module | |
US9971927B2 (en) | Fingerprint sensors | |
CN106022290B (en) | A kind of fingerprint template update method and terminal device | |
CN109241859B (en) | Fingerprint identification method and related product | |
CN107545166B (en) | Biometric identification method and related product | |
CN106233306A (en) | Registration is moved in slip on fingerprint sensor | |
CN110287918B (en) | Living body identification method and related product | |
CN109348135A (en) | Photographic method, device, storage medium and terminal device | |
CN105303177A (en) | Camera capable of fingerprint identification and corresponding terminal | |
CN107609375A (en) | Solve lock control method and Related product | |
CN106815557A (en) | A kind of evaluation method of face features, device and mobile terminal | |
CN110188666B (en) | Vein collection method and related products | |
CN110245483B (en) | Biometric identification method and related product | |
US9785863B2 (en) | Fingerprint authentication | |
CN108875643A (en) | Fingerprint mould group, fingerprint identification method, device, storage medium and mobile terminal | |
CN106096353B (en) | One kind solution lock control method and equipment | |
CN109376700B (en) | Fingerprint identification method and related product | |
CN107527020A (en) | Biometric discrimination method and Related product | |
CN109144454A (en) | double-sided screen display control method and related product | |
CN107451454A (en) | Solve lock control method and Related product | |
CN107194325A (en) | Palmmprint acquisition method and Related product | |
CN109376702A (en) | Fingerprint identification method and Related product | |
CN110276328B (en) | Fingerprint identification method and related product | |
CN107402787A (en) | Iris recognition pattern open method and Related product | |
CN107169472B (en) | Fingerprint operation method, mobile terminal and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171222 |