CN110163185A

CN110163185A - Vein image acquisition method and Related product

Info

Publication number: CN110163185A
Application number: CN201910472578.XA
Authority: CN
Inventors: 张海平
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2019-05-31
Filing date: 2019-05-31
Publication date: 2019-08-23
Anticipated expiration: 2039-05-31
Also published as: CN110163185B

Abstract

The embodiment of the present application discloses a kind of vein image acquisition method and Related product, applied to electronic equipment, electronic equipment includes hand vein recognition mould group and ultrasonic sensor, wherein, which comprises the target signature parameter of the skin of the predetermined patterns of target object is determined by the ultrasonic sensor；The targeted vein image acquisition parameter of the hand vein recognition mould group is determined according to the target signature parameter；Venous collection is carried out according to the targeted vein image acquisition parameter by the hand vein recognition mould group, obtains targeted vein image.Using the embodiment of the present application, skin information can be perceived in advance by ultrasonic sensor, in turn, adjusted vein image acquisition parameter according to skin information, be so, it is possible to promote vein image acquisition efficiency.

Description

Vein image acquisition method and Related product

Technical field

This application involves technical field of electronic equipment, and in particular to a kind of vein image acquisition method and Related product.

Background technique

With a large amount of popularization and applications of electronic equipment (such as mobile phone, tablet computer), what electronic equipment can be supported is answered With more and more, function is stronger and stronger, and electronic equipment develops towards diversification, personalized direction, becomes in user's life Indispensable appliance and electronic.

For electronic equipment, safety is always the emphasis of electronic equipment concern, as technology develops, hand vein recognition The problem of technology also becomes the popular biological identification technology of electronic equipment, how to promote vein image acquisition efficiency is urgently to be resolved.

Summary of the invention

The embodiment of the present application provides a kind of vein image acquisition method and Related product, is able to ascend vein image acquisition Efficiency.

In a first aspect, the embodiment of the present application provides a kind of electronic equipment, the electronic equipment includes hand vein recognition mould group, surpasses Sonic sensor and processing circuit, wherein

The ultrasonic sensor, the target signature parameter of the skin of the predetermined patterns for determining target object；

The processing circuit, for determining the targeted vein figure of the hand vein recognition mould group according to the target signature parameter As acquisition parameter；

The hand vein recognition mould group obtains mesh for carrying out venous collection according to the targeted vein image acquisition parameter Mark vein image.

Second aspect, the embodiment of the present application provide a kind of vein image acquisition method, are applied to electronic equipment, the electronics Equipment includes hand vein recognition mould group and ultrasonic sensor, which comprises

The target signature parameter of the skin of the predetermined patterns of target object is determined by the ultrasonic sensor；

The targeted vein image acquisition parameter of the hand vein recognition mould group is determined according to the target signature parameter；

Venous collection is carried out according to the targeted vein image acquisition parameter by the hand vein recognition mould group, obtains target Vein image.

The third aspect, the embodiment of the present application provide a kind of vein image acquisition device, are applied to electronic equipment, the electronics Equipment includes hand vein recognition mould group and ultrasonic sensor, and described device includes:

First determination unit, the mesh of the skin of the predetermined patterns for determining target object by the ultrasonic sensor Mark characteristic parameter；

Second determination unit, for determining the targeted vein figure of the hand vein recognition mould group according to the target signature parameter As acquisition parameter；

Acquisition unit, for carrying out vein according to the targeted vein image acquisition parameter by the hand vein recognition mould group Acquisition, obtains targeted vein image.

Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, including processor, memory, communication interface and One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned It manages device to execute, above procedure is included the steps that for executing the instruction in the embodiment of the present application second aspect.

5th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as Step some or all of described in the embodiment of the present application second aspect.

6th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate Machine executes the step some or all of as described in the embodiment of the present application second aspect.The computer program product can be one A software installation packet.

As can be seen that vein image acquisition method and Related product described in the embodiment of the present application, are applied to electronics Equipment, electronic equipment include hand vein recognition mould group and ultrasonic sensor, determine the pre- of target object by ultrasonic sensor If the target signature parameter of the skin at position, the targeted vein Image Acquisition of hand vein recognition mould group is determined according to target signature parameter Parameter carries out venous collection according to targeted vein image acquisition parameter by hand vein recognition mould group, obtains targeted vein image, energy Enough skin information is perceived by ultrasonic sensor in advance, in turn, adjusts vein image acquisition parameter according to skin information, such as This, is able to ascend vein image acquisition efficiency.

Detailed description of the invention

In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.

Figure 1A is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；

Figure 1B is a kind of flow diagram of vein image acquisition method provided by the embodiments of the present application；

Fig. 2 is the flow diagram of another vein image acquisition method provided by the embodiments of the present application；

Fig. 3 is the flow diagram of another vein image acquisition method provided by the embodiments of the present application；

Fig. 4 is the structural schematic diagram of another electronic equipment provided by the embodiments of the present application；

Fig. 5 A is a kind of functional unit composition block diagram of vein image acquisition device provided by the embodiments of the present application；

Fig. 5 B is the functional unit composition block diagram of another vein image acquisition device provided by the embodiments of the present application.

Specific embodiment

In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.

The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap Include other step or units intrinsic for these process, methods, product or equipment.

Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and Implicitly understand, embodiment described herein can be combined with other embodiments.

Electronic equipment involved by the embodiment of the present application may include the various handheld devices with wireless communication function, Mobile unit, wearable device (smartwatch, Intelligent bracelet, wireless headset, augmented reality/virtual reality device, Brilliant Eyes Mirror), calculate equipment or be connected to radio modem other processing equipments and various forms of user equipment (user Equipment, UE), mobile station (mobile station, MS), terminal device (terminal device) etc..

It describes in detail below to the embodiment of the present application.

Figure 1A is please referred to, Figure 1A is the structural schematic diagram of a kind of electronic equipment disclosed in the embodiment of the present application, electronic equipment 100 include storage and processing circuit 110, and the sensor 170 connecting with the storage and processing circuit 110, sensor 170 Including camera, in which:

Electronic equipment 100 may include control circuit, which may include storage and processing circuit 110.This is deposited Storage and processing circuit 110 can store device, such as hard drive memory, nonvolatile memory (such as flash memory or it is used for shape At other electrically programmable read only memories etc. of solid state drive), volatile memory (such as either statically or dynamically arbitrary access Memory etc.) etc., the embodiment of the present application is with no restriction.Processing circuit in storage and processing circuit 110 can be used for controlling electricity The operating of sub- equipment 100.The processing circuit can microprocessor based on one or more, microcontroller, digital signal processor, Baseband processor, power management unit, audio codec chip, specific integrated circuit, display-driver Ics etc. come It realizes.

Storage and processing circuit 110 can be used for running the software in electronic equipment 100, such as the Internet browser application journey Sequence, voice over internet protocol (Voice over Internet Protocol, VOIP) call application program, Email Application program, media play-back application, operation system function etc..These softwares can be used for executing some control operations, example Such as, based on the Image Acquisition of camera, the ambient light measurement based on ambient light sensor, based on proximity sensor close to sensing Device measurement, the information display function that the positioning indicators such as status indicator lamp based on light emitting diode are realized, based on touch The touch event of sensor detects, and in the associated function of multiple (such as layering) display information displayed on screen, with execution The associated operation of wireless communication function, operation associated with collecting and generating audio signal, is pressed with collection and treatment button Other functions etc. in the associated control operation of event data and electronic equipment 100 are pressed, the embodiment of the present application does not limit System.

Electronic equipment 100 may include input-output circuit 150.Input-output circuit 150 can be used for making electronic equipment 100 realization data are output and input, i.e. permission electronic equipment 100 allows electronic equipment from outer equipment receiving data and also 100 export data to external equipment from electronic equipment 100.Input-output circuit 150 may further include sensor 170. Sensor 170 may include hand vein recognition mould group and ultrasonic sensor, can also include ambient light sensor, be based on light and electricity The proximity sensor of appearance, fingerprint recognition mould group, touch sensor based on light touch sensor and/or capacitance touch (for example, passed Sensor, wherein touch sensor can be a part of touching display screen, can also be used as a touch sensor arrangement independence Using), acceleration transducer, camera and other sensors etc., camera can be front camera or postposition camera shooting Head, fingerprint recognition mould group can be integrated in below display screen, for acquiring fingerprint image, fingerprint recognition mould group can for it is following at least A kind of: optical finger print identifies mould group or ultrasonic fingerprint identification mould group etc., is not limited thereto.

Wherein, hand vein recognition mould group can be integrally disposed below display screen, alternatively, hand vein recognition mould group may also be disposed on electricity The sub- apparatus casing back side, alternatively, hand vein recognition mould group can also be set to the side of electronic equipment.Specifically, hand vein recognition mould Block may include infrared lamp and vein image acquisition module, and infrared lamp can emit infrared light, Infrared irradiation to human vein When skin, infrared light can pass through skin, and vein can generate reflection, so that veinprint image is formed, thus, vein figure can be passed through As acquisition module acquires vein image.

Input-output circuit 150 can also include one or more display screens, such as display screen 130.Display screen 130 can To include liquid crystal display, organic light-emitting diode (OLED) display screen, electric ink display screen, plasma panel, using other aobvious Show combination one or several kinds of in the display screen of technology.Display screen 130 may include touch sensor array (that is, display screen 130 can be touching display screen).Touch sensor can be by transparent touch sensor electrode (such as tin indium oxide (ITO) Electrode) capacitive touch sensors that array is formed, or it can be the touch sensor formed using other touching techniques, example Such as sound wave touch-control, pressure sensible touch, resistive touch, optical touch etc., the embodiment of the present application is with no restriction.

Electronic equipment 100 can also include audio component 140.Audio component 140 can be used for providing for electronic equipment 100 Audio input and output function.Audio component 140 in electronic equipment 100 may include loudspeaker, microphone, buzzer, sound Adjust generator and other for generating and detecting the component of sound.

Telecommunication circuit 120 can be used for providing the ability with external device communication for electronic equipment 100.Telecommunication circuit 120 It may include analog- and digital- input-output interface circuit, and the radio communication circuit based on radiofrequency signal and/or optical signal. Radio communication circuit in telecommunication circuit 120 may include radio-frequency transceiver circuitry, power amplifier circuit, low noise amplification Device, switch, filter and antenna.For example, the radio communication circuit in telecommunication circuit 120 may include for passing through transmitting The circuit of near-field communication (Near Field Communication, NFC) is supported with near-field coupling electromagnetic signal is received.Example Such as, telecommunication circuit 120 may include near-field communication aerial and near-field communication transceiver.Telecommunication circuit 120 can also include honeycomb Telephone transceiver and antenna, wireless lan transceiver circuit and antenna etc..

Electronic equipment 100 can further include battery, power management circuitry and other input-output units 160.It is defeated Enter-output unit 160 may include button, control stick, click wheel, scroll wheel, touch tablet, keypad, keyboard, camera, hair Optical diode and other positioning indicators etc..

User can input a command for the operation of controlling electronic devices 100 by input-output circuit 150, and can be with Status information and other outputs from electronic equipment 100 are received using the output data of input-output circuit 150 to realize.

Based on electronic equipment described in above-mentioned Figure 1A, following function can be used to implement:

In a possible example, in the target signature parameter side of the skin of the predetermined patterns of the determining target object Face, the ultrasonic sensor are specifically used for:

Obtain the desired physiological characteristic parameter of the target object；

According to the corresponding relationship between preset physiological characteristic parameter and the running parameter of ultrasonic sensor, determine described in The corresponding target operating parameters of desired physiological characteristic parameter；

Figure is carried out by the ultrasonic sensor with predetermined patterns of the target operating parameters to the target object As acquisition, target 3D rendering is obtained；

Parameter extraction is carried out to the target 3D rendering, obtains the target signature parameter of skin.

In a possible example, when the target signature parameter includes skin thickness, described to the target 3D rendering carries out parameter extraction, and in terms of obtaining the target signature parameter of skin, the ultrasonic sensor is specifically used for:

Hand vein recognition is carried out to the target 3D rendering, obtains targeted vein region；

Multiple test points are chosen in the targeted vein region；

It is determined between each test point in skin surface and the multiple test point most according to the 3D rendering Short distance obtains multiple shortest distances；

Using the mean value of the multiple shortest distance as the skin thickness.

In a possible example, in the mesh for determining the hand vein recognition mould group according to the target signature parameter In terms of marking vein image acquisition parameter, the processing circuit is specifically used for:

According to the mapping relations between preset characteristic parameter and vein image acquisition parameter, the target signature ginseng is determined The corresponding targeted vein image acquisition parameter of the corresponding hand vein recognition mould group of number.

In a possible example, the processing circuit also particularly useful for:

Image segmentation is carried out to the targeted vein image, obtains targeted vein area image；

Feature extraction is carried out to the targeted vein area image, obtains target signature point set；

The targeted vein area image is divided into multiple regions, the size in each region is identical；

The characteristic point quantity that each region in the multiple region is determined according to the target signature point set, obtains multiple spies Sign point quantity；

The characteristic point quantity for being greater than preset threshold is chosen from the multiple characteristic point quantity, obtains at least one target spy Sign point quantity, and at least one described corresponding region of target feature point quantity is obtained, obtain at least one target area；

Obtain default vein template corresponding with the predetermined patterns；

It will the corresponding characteristic point at least one target area characteristic point progress corresponding with the default vein template Matching, obtains object matching value；

When the object matching value is greater than preset matching threshold value, confirmation hand vein recognition success.

As can be seen that the embodiment of the present application described in electronic equipment, the electronic equipment include hand vein recognition mould group and Ultrasonic sensor determines the target signature parameter of the skin of the predetermined patterns of target object, foundation by ultrasonic sensor Target signature parameter determines the targeted vein image acquisition parameter of hand vein recognition mould group, quiet according to target by hand vein recognition mould group Arteries and veins image acquisition parameter carries out venous collection, obtains targeted vein image, can perceive in advance skin by ultrasonic sensor Information adjusts vein image acquisition parameter according to skin information in turn, so, it is possible to promote vein image acquisition efficiency.

Figure 1B is please referred to, Figure 1B is a kind of flow diagram of vein image acquisition method provided by the embodiments of the present application, As shown, being applied to electronic equipment as shown in Figure 1A, the electronic equipment includes hand vein recognition mould group and supersonic sensing Device, this vein image acquisition method include:

101, the target signature parameter of the skin of the predetermined patterns of target object is determined by the ultrasonic sensor.

Wherein, in the embodiment of the present application, target object can be people, alternatively, other animals, it is not limited here.It is default Position can be able to be following at least one by user's self-setting or system default, predetermined patterns: finger, palm, arm, Thigh, neck etc., it is not limited here.It, can be with according to the characteristic since ultrasonic sensor has certain penetration capacity The some characteristics of skin for perceiving user in advance by ultrasonic sensor, may be implemented to vary with each individual in this way to adjust vein image Acquisition parameter.For example, different people, skin histology can be different, somebody's skin depth, then the transmitting of hand vein recognition mould group is infrared Light more difficult may penetrate skin.

In addition, above-mentioned target signature parameter can be following at least one: skin thickness, venous locations, pachylosis journey Whether degree cutis laxa degree, tatoos, skin age etc., it is not limited here.Skin thickness can be understood as skin surface and arrive The shortest distance between vein, venous locations can be understood as the position of vein.

In a possible example, above-mentioned steps 101 determine the default of target object by the ultrasonic sensor The target signature parameter of the skin at position, may include steps of:

11, the desired physiological characteristic parameter of the target object is obtained；

12, it according to the corresponding relationship between preset physiological characteristic parameter and the running parameter of ultrasonic sensor, determines The corresponding target operating parameters of the desired physiological characteristic parameter；

13, it is carried out by the ultrasonic sensor with predetermined patterns of the target operating parameters to the target object Image Acquisition obtains target 3D rendering；

14, parameter extraction is carried out to the target 3D rendering, obtains the target signature parameter of skin.

Wherein, in the embodiment of the present application, physiological characteristic parameter can be following one kind: the age, height, weight, fat percentage, Blood group, case history, occupation, sex, race, blood pressure, blood lipid etc., are not limited thereto.It can be stored in advance in electronic equipment pre- If physiological characteristic parameter and ultrasonic sensor running parameter between corresponding relationship, in the specific implementation, electronic equipment can To obtain the desired physiological characteristic parameter of target object, in turn, determine that desired physiological characteristic parameter is corresponding according to the corresponding relationship Target operating parameters, can control ultrasonic sensor with target operating parameters and image carried out to the predetermined patterns of target object Acquisition obtains target 3D rendering, and carries out parameter extraction to target 3D rendering, the target signature parameter of skin is obtained, in this way, can To realize the Primary Location of vein by ultrasonic technology, venous collection parameter can be preferably adjusted convenient for subsequent, with acquisition To the vein image of high quality.

In a possible example, when the target signature parameter includes skin thickness, above-mentioned steps 14, to described Target 3D rendering carries out parameter extraction, obtains the target signature parameter of skin, may include steps of:

141, hand vein recognition is carried out to the target 3D rendering, obtains targeted vein region；

142, multiple test points are chosen in the targeted vein region；

143, it between each test point in skin surface and the multiple test point is determined according to the 3D rendering Between the shortest distance, obtain multiple shortest distances；

144, using the mean value of the multiple shortest distance as the skin thickness.

Wherein, electronic equipment specifically can convert 2D for 3D rendering by carrying out hand vein recognition to 3D rendering Image carries out image segmentation to the 2D image, it can determine targeted vein region, alternatively, 3D rendering is carried out to take cross section, According to the corresponding image in cross section, it may be implemented to determine targeted vein region, can also be chosen in targeted vein region multiple Test point determines the shortest distance between skin surface and multiple test points according to 3D rendering, obtains multiple shortest distances, can be with Take the mean value of multiple shortest distances as skin thickness.

102, the targeted vein image acquisition parameter of the hand vein recognition mould group is determined according to the target signature parameter.

Wherein, target signature parameter has reacted some characteristics of skin to a certain extent, for example, skin thickness, skin Therefore density etc. can determine the targeted vein image acquisition parameter of hand vein recognition mould group according to target signature parameter.

In a possible example, above-mentioned steps 102 determine the hand vein recognition mould according to the target signature parameter The targeted vein image acquisition parameter of group, may include steps of:

Wherein, the mapping between preset characteristic parameter and vein image acquisition parameter can be stored in advance in electronic equipment Relationship can determine the corresponding targeted vein of the corresponding hand vein recognition mould group of target signature parameter according to the mapping relations in turn Image acquisition parameter.

103, venous collection is carried out according to the targeted vein image acquisition parameter by the hand vein recognition mould group, obtained Targeted vein image.

Wherein, above-mentioned targeted vein acquisition parameter may include at least one of following parameter: the work of hand vein recognition mould group Electric current, the operating voltage of hand vein recognition mould group, the operating power of hand vein recognition mould group, hand vein recognition mould group working frequency, quiet Arteries and veins identifies the infrared light of the frequency range of infrared light of mould group, the infrared light wavelength of hand vein recognition mould group, hand vein recognition mould group Transmission power etc. is not limited thereto.In the specific implementation, electronic equipment can be quiet according to the progress of targeted vein acquisition parameter collection Arteries and veins acquisition, obtains targeted vein image.

Optionally, above-mentioned targeted vein image can be the vein image at any one position of user's body, for example, referring to Vein, vena metacarpea, leg vein, cardinal vein etc., are not limited thereto, in the specific implementation, need to obtain the vein at which position, Then venous collection can be carried out to the position, it can obtain targeted vein image.

In the specific implementation, user body predetermined patterns close to electronic equipment hand vein recognition mould group when, then can be with Venous collection is carried out with targeted vein acquisition parameter collection by hand vein recognition mould group, obtains targeted vein image, predetermined patterns can With by user's self-setting or system default, predetermined patterns can be following at least one: finger, palm, arm, thigh, Neck etc., it is not limited here.

In a possible example, after above-mentioned steps 103, it can also include the following steps:

A1, image segmentation is carried out to the targeted vein image, obtains targeted vein area image；

A2, feature extraction is carried out to the targeted vein area image, obtains target signature point set；

A3, the targeted vein area image is divided into multiple regions, the size in each region is identical；

A4, the characteristic point quantity that each region in the multiple region is determined according to the target signature point set, obtain more A characteristic point quantity；

A5, the characteristic point quantity for being greater than preset threshold is chosen from the multiple characteristic point quantity, obtain at least one mesh Characteristic point quantity is marked, and obtains at least one described corresponding region of target feature point quantity, obtains at least one target area；

A6, default vein template corresponding with the predetermined patterns is obtained；

A7, will the corresponding characteristic point at least one target area feature click-through corresponding with the default vein template Row matching, obtains object matching value；

A8, the object matching value be greater than preset matching threshold value when, confirmation hand vein recognition success.

Wherein, above-mentioned preset threshold, default vein template, preset matching threshold value by user's self-setting or can be System default.Multiple default vein templates can be stored in advance in electronic equipment, different positions can correspond to different vein moulds Plate.For example, finger correspondence refers to vein template, palm corresponds to vena metacarpea template etc..

In the specific implementation, image segmentation can be carried out to targeted vein image, targeted vein area image is obtained, in turn, Feature extraction is carried out to targeted vein area image, target signature point set is obtained, targeted vein area image can be divided into The size of multiple regions, each region is identical, and each region in multiple regions can be determined according to target signature point set Characteristic point quantity, obtains multiple characteristic point quantity, and characteristic point quantity reflects picture quality, administrative division map image quality to a certain extent It measures, it is more to obtain then corresponding characteristic point, since user's skin thickness is different, accordingly, it is possible to certain position venous collections are imperfect, Therefore, vein clearly region can be chosen, to be used for hand vein recognition, i.e., is chosen from multiple characteristic point quantity and is greater than default threshold The characteristic point quantity of value obtains at least one target feature point quantity, and it is corresponding to obtain at least one the target feature point quantity Region, obtain at least one target area.

Further, the corresponding default vein template of the available predetermined patterns of electronic equipment, wherein predetermined patterns can be with It is identified by way of image recognition, for example, one vein image of acquisition, is entered into default neural network model, i.e., The corresponding acquisition position of the available vein image, since the vein at each position of human body generally has certain phase Like property, therefore, its corresponding position can be identified by vein image by pre-prepd default neural network model, when So, acquisition position can also be inputted by user, and above-mentioned default neural network model can be by system default, in turn, will at least one The corresponding characteristic point in a target area characteristic point corresponding with default vein template is matched, and object matching value is obtained, each It is matched between the corresponding characteristic point in target area characteristic point corresponding with default vein template, available matching value, Therefore, it is possible to obtain at least one matching value, object matching value can be understood as all matching values at least one matching value Mean value.When object matching value is greater than preset matching threshold value, then it can determine hand vein recognition success, in turn, unlock can be executed Operation, alternatively, being also possible to execute predetermined registration operation, predetermined registration operation can be by user's self-setting, such as: into homepage or referring to Determine the page, specified page can also be applied, auto dialing by user's self-setting or system default for starting, etc. Deng being not limited thereto.

In a possible example, it can also include the following steps:

B1, determine the predetermined patterns close to the hand vein recognition mould group closing rate and the predetermined patterns with it is described Current distance between hand vein recognition mould group；

B2, when estimating the vein image acquisition of the hand vein recognition mould group according to the current distance and the closing rate Between；

B3, the targeted vein image acquisition parameter is adjusted according to the closing rate, the institute after being adjusted State targeted vein image acquisition parameter；

Above-mentioned steps 103 carry out vein according to the targeted vein image acquisition parameter by the hand vein recognition mould group Acquisition, obtains targeted vein image, can implement as follows:

When reaching the vein image acquisition time, by the hand vein recognition mould group according to the target adjusted Vein image acquisition parameter carries out venous collection, obtains targeted vein image.

Wherein, electronic equipment can determine that the closing rate of hand vein recognition mould group specifically can by ultrasonic sensor To emit ultrasonic wave every prefixed time interval, and ultrasonic wave is received, predetermined patterns are detected in unit by ultrasonic sensor Close distance in time and the current distance between the predetermined patterns and hand vein recognition mould group, obtain according to this close to distance Closing rate, prefixed time interval by current distance and can connect by user's self-setting or system default, in turn Nearly rate estimates the vein image acquisition time of hand vein recognition mould group, the vein image acquisition time < current distance/close speed Rate, the vein image acquisition time can any moment between 0~current distance/closing rate, for example, vein image acquisition At the time of time can be at a distance from predetermined patterns be between hand vein recognition mould group equal to the 1/2 of current distance.Certainly, different Closing rate then it is possible that image shake, therefore, targeted vein image acquisition parameter can be adjusted, electronics is set The mapping relations that can be stored in advance between rate and regulation coefficient in standby determine closing rate according to the mapping relations in turn Corresponding target adjustment coefficient, regulation coefficient are positive number, in this way, available targeted vein image acquisition parameter adjusted, And when reaching the vein image acquisition time, by hand vein recognition mould group according to targeted vein image acquisition parameter adjusted into Row vein acquisition, obtains targeted vein image, in this way, available picture quality more preferably vein image.

C1, image segmentation is carried out to the targeted vein image, obtains targeted vein area image；

The characteristic point distribution of C2, the analysis targeted vein area image；

C3, circular image interception is carried out to the targeted vein area image according to a not concentric of M, obtains M circle Venosomes image, the M are the integer greater than 3；

C4, target circle venosomes image is selected from the M circular vein area image, the target circle is quiet The quantity for the characteristic point that arteries and veins area image is included is greater than other circular vein regions in the M circular vein area image Image；

C5, the target circle venosomes image is divided to obtain N number of annulus, the ring width of N number of annulus is identical；

C6, since N number of annulus the smallest annulus of radius, by N number of annulus successively with default vein template Carry out Feature Points Matching, and the accumulative matching value for having matched annulus；

C7, stop carrying out Feature Points Matching when accumulative matching value is greater than preset matching threshold value, and export hand vein recognition Successful prompting message.

Wherein, electronic equipment can carry out image segmentation to targeted vein image, obtain targeted vein area image, target Venosomes image can analyze the characteristic point point of the targeted vein area image in turn for the image for only including veinprint Cloth carries out circular image interception to the targeted vein area image according to a not concentric of M, obtains M circular vein administrative division map Picture, M are the integer greater than 3, target circle venosomes image are selected from M circular vein area image, target circle is quiet The quantity for the characteristic point that arteries and veins area image is included is greater than other circular vein administrative division maps in M circular vein area image Picture divides target circle venosomes image to obtain N number of annulus, and the ring width of N number of annulus is identical, and radius is most from N number of annulus Small annulus starts, and N number of annulus is successively carried out Feature Points Matching, and the accumulative matching for having matched annulus with default vein template Value, in this way, can be used to match by the characteristic point of different location or different veins, when what is added up during hand vein recognition Matching value stops carrying out Feature Points Matching when being greater than preset matching threshold value immediately,

As can be seen that vein image acquisition method described in the embodiment of the present application, is applied to electronic equipment, electronics is set Standby includes hand vein recognition mould group and ultrasonic sensor, and the skin of the predetermined patterns of target object is determined by ultrasonic sensor Target signature parameter, the targeted vein image acquisition parameter of hand vein recognition mould group is determined according to target signature parameter, by quiet Arteries and veins identifies that mould group carries out venous collection according to targeted vein image acquisition parameter, obtains targeted vein image, can pass through ultrasound Wave sensor perceives skin information in advance, in turn, adjusts vein image acquisition parameter according to skin information, so, it is possible to be promoted Vein image acquisition efficiency.

Consistently with embodiment shown in above-mentioned Figure 1B, referring to Fig. 2, Fig. 2 is that one kind provided by the embodiments of the present application is quiet The flow diagram of arteries and veins image-pickup method, as shown, being applied to electronic equipment as shown in Figure 1A, the electronic equipment packet Hand vein recognition mould group and ultrasonic sensor are included, this vein image acquisition method includes:

201, the target signature parameter of the skin of the predetermined patterns of target object is determined by the ultrasonic sensor.

202, the targeted vein image acquisition parameter of the hand vein recognition mould group is determined according to the target signature parameter.

203, venous collection is carried out according to the targeted vein image acquisition parameter by the hand vein recognition mould group, obtained Targeted vein image.

204, image segmentation is carried out to the targeted vein image, obtains targeted vein area image.

205, feature extraction is carried out to the targeted vein area image, obtains target signature point set.

206, the targeted vein area image is divided into multiple regions, the size in each region is identical.

207, the characteristic point quantity that each region in the multiple region is determined according to the target signature point set, obtains more A characteristic point quantity.

208, the characteristic point quantity for being greater than preset threshold is chosen from the multiple characteristic point quantity, obtains at least one mesh Characteristic point quantity is marked, and obtains at least one described corresponding region of target feature point quantity, obtains at least one target area.

209, default vein template corresponding with the predetermined patterns is obtained.

It 210, will the corresponding characteristic point at least one target area characteristic point corresponding with the default vein template It is matched, obtains object matching value.

211, when the object matching value is greater than preset matching threshold value, confirmation hand vein recognition success.

Wherein, the specific descriptions of above-mentioned steps 201- step 211 are referred to vein image described in above-mentioned Figure 1B and adopt The corresponding steps of set method, details are not described herein.

In a possible example, after above-mentioned steps 212, it can also include the following steps:

D1, according to preset position and application between mapping relations, determine the corresponding target application of the predetermined patterns；

D2, the starting target application.

Wherein, the mapping relations between preset position and application can be stored in advance in electronic equipment, for example, each hand The vein of finger can correspond to different applications, in turn, determine the corresponding target application in venous collection position according to the mapping relations, Start target application and it is convenient to improve user in this way, different applications can be started by realizing the different intravenous regional of user Property.

As can be seen that vein image acquisition method described in the embodiment of the present application, is applied to electronic equipment, electronics is set Standby includes hand vein recognition mould group and ultrasonic sensor, and the skin of the predetermined patterns of target object is determined by ultrasonic sensor Target signature parameter, the targeted vein image acquisition parameter of hand vein recognition mould group is determined according to target signature parameter, by quiet Arteries and veins identifies that mould group carries out venous collection according to targeted vein image acquisition parameter, obtains targeted vein image, can pass through ultrasound Wave sensor perceives skin information in advance, in turn, vein image acquisition parameter is adjusted according to skin information, in this way, can not only Promote vein image acquisition efficiency, additionally it is possible in hand vein recognition, choose and acquire the corresponding template in position, and from vein figure Region as in more than selected characteristic point is used for hand vein recognition, helps to promote hand vein recognition efficiency.

Consistently with embodiment shown in above-mentioned Figure 1B, referring to Fig. 3, Fig. 3 is that one kind provided by the embodiments of the present application is quiet The flow diagram of arteries and veins image-pickup method, as shown, being applied to electronic equipment as shown in Figure 1A, the electronic equipment packet Hand vein recognition mould group and ultrasonic sensor are included, this vein image acquisition method includes:

301, the target signature parameter of the skin of the predetermined patterns of target object is determined by the ultrasonic sensor.

302, according to the mapping relations between preset characteristic parameter and vein image acquisition parameter, determine that the target is special Levy the corresponding targeted vein image acquisition parameter of the corresponding hand vein recognition mould group of parameter.

303, venous collection is carried out according to the targeted vein image acquisition parameter by the hand vein recognition mould group, obtained Targeted vein image.

Wherein, the specific descriptions of above-mentioned steps 301- step 303 are referred to vein image described in above-mentioned Figure 1B and adopt The corresponding steps of set method, details are not described herein.

Consistently with above-described embodiment, referring to Fig. 4, Fig. 4 is the knot of a kind of electronic equipment provided by the embodiments of the present application Structure schematic diagram, as shown, the electronic equipment includes processor, memory, communication interface and one or more program, it is described Electronic equipment includes hand vein recognition mould group and ultrasonic sensor, wherein said one or multiple programs are stored in above-mentioned deposit In reservoir, and it is configured to be executed by above-mentioned processor, in the embodiment of the present application, above procedure includes for executing following steps Instruction:

In a possible example, in the predetermined patterns for determining target object by the ultrasonic sensor In terms of the target signature parameter of skin, above procedure includes the instruction for executing following steps:

In a possible example, when the target signature parameter includes skin thickness, described to the target 3D rendering carries out parameter extraction, and in terms of obtaining the target signature parameter of skin, above procedure includes for executing following steps Instruction:

Multiple test points are chosen in the targeted vein region；

Using the mean value of the multiple shortest distance as the skin thickness.

In a possible example, in the mesh for determining the hand vein recognition mould group according to the target signature parameter In terms of marking vein image acquisition parameter, above procedure includes the instruction for executing following steps:

In a possible example, above procedure further includes the instruction for executing following steps:

Obtain default vein template corresponding with the predetermined patterns；

It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is understood that , in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or software mould for electronic equipment Block.Those skilled in the art should be readily appreciated that, in conjunction with each exemplary unit of embodiment description presented herein And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with Hardware or computer software drive the mode of hardware to execute, the specific application and design constraint item depending on technical solution Part.Professional technician can specifically realize described function to each using distinct methods, but this reality Now it is not considered that exceeding scope of the present application.

The embodiment of the present application can carry out the division of functional unit according to above method example to electronic equipment, for example, can With each functional unit of each function division of correspondence, two or more functions can also be integrated in a processing unit In.Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs It is noted that be schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical real It is current that there may be another division manner.

Fig. 5 A is the functional unit composition block diagram of vein image acquisition device 500 involved in the embodiment of the present application.It should Vein image acquisition device 500 is applied to electronic equipment, and the electronic equipment includes hand vein recognition mould group and supersonic sensing Device, described device 500 include: the first determination unit 501, the second determination unit 502 and acquisition unit 503, wherein

First determination unit 501, the skin of the predetermined patterns for determining target object by the ultrasonic sensor Target signature parameter；

Second determination unit 502, for determining that the target of the hand vein recognition mould group is quiet according to the target signature parameter Arteries and veins image acquisition parameter；

Acquisition unit 503, for being carried out by the hand vein recognition mould group according to the targeted vein image acquisition parameter Venous collection obtains targeted vein image.

As can be seen that vein image acquisition device described in the embodiment of the present application, is applied to electronic equipment, electronics is set Standby includes hand vein recognition mould group and ultrasonic sensor, and the skin of the predetermined patterns of target object is determined by ultrasonic sensor Target signature parameter, the targeted vein image acquisition parameter of hand vein recognition mould group is determined according to target signature parameter, by quiet Arteries and veins identifies that mould group carries out venous collection according to targeted vein image acquisition parameter, obtains targeted vein image, can pass through ultrasound Wave sensor perceives skin information in advance, in turn, adjusts vein image acquisition parameter according to skin information, so, it is possible to be promoted Vein image acquisition efficiency.

In a possible example, in the predetermined patterns for determining target object by the ultrasonic sensor In terms of the target signature parameter of skin, first determination unit 501 is specifically used for:

In a possible example, when the target signature parameter includes skin thickness, described to the target 3D rendering carries out parameter extraction, and in terms of obtaining the target signature parameter of skin, first determination unit 501 is specifically used for:

Multiple test points are chosen in the targeted vein region；

Using the mean value of the multiple shortest distance as the skin thickness.

In a possible example, in the mesh for determining the hand vein recognition mould group according to the target signature parameter In terms of marking vein image acquisition parameter, second determination unit 502 is specifically used for:

In a possible example, if Fig. 5 B, Fig. 5 B are the another change of vein image acquisition device described in Fig. 5 A Type structure can also include: cutting unit 504, extraction unit 505, division unit 506, third determination compared with Fig. 5 A Unit 507, acquiring unit 508 and matching unit 509, wherein

Cutting unit 504 obtains targeted vein area image for carrying out image segmentation to the targeted vein image；

Extraction unit 505 obtains target signature point set for carrying out feature extraction to the targeted vein area image；

Division unit 506, for the targeted vein area image to be divided into multiple regions, the area in each region is big It is small identical；

Third determination unit 507, for determining each region in the multiple region according to the target signature point set Characteristic point quantity obtains multiple characteristic point quantity；

Acquiring unit 508 is obtained for choosing the characteristic point quantity for being greater than preset threshold from the multiple characteristic point quantity To at least one target feature point quantity, and at least one described corresponding region of target feature point quantity is obtained, obtained at least One target area；And obtain default vein template corresponding with the predetermined patterns；

Matching unit 509, for the corresponding characteristic point at least one target area by described in and the default vein template Corresponding characteristic point is matched, and object matching value is obtained；

The third determination unit 507 is also used to confirm vein when the object matching value is greater than preset matching threshold value It identifies successfully.

The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment Some or all of method step, above-mentioned computer include electronic equipment.

The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side Some or all of either record method step in method embodiment.The computer program product can be a software installation Packet, above-mentioned computer includes electronic equipment.

It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application It is necessary.

In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, reference can be made to the related descriptions of other embodiments.

In several embodiments provided herein, it should be understood that disclosed device, it can be by another way It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of said units, it is only a kind of Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit, It can be electrical or other forms.

Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.

It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.

If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment (can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.

Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English: Random Access Memory, referred to as: RAM), disk or CD etc..

The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas； At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.

Claims

1. a kind of electronic equipment, which is characterized in that the electronic equipment includes hand vein recognition mould group, ultrasonic sensor and processing Circuit, wherein

The processing circuit, for determining that the targeted vein image of the hand vein recognition mould group is adopted according to the target signature parameter Collect parameter；

It is quiet to obtain target for carrying out venous collection according to the targeted vein image acquisition parameter for the hand vein recognition mould group Arteries and veins image.

2. electronic equipment according to claim 1, which is characterized in that in the skin of the predetermined patterns of the determining target object In terms of the target signature parameter of skin, the ultrasonic sensor is specifically used for:

According to the corresponding relationship between preset physiological characteristic parameter and the running parameter of ultrasonic sensor, the target is determined The corresponding target operating parameters of physiological characteristic parameter；

Image is carried out by the ultrasonic sensor with predetermined patterns of the target operating parameters to the target object to adopt Collection, obtains target 3D rendering；

3. electronic equipment according to claim 2, which is characterized in that in the target signature parameter include skin thickness When, parameter extraction is carried out to the target 3D rendering described, in terms of obtaining the target signature parameter of skin, the ultrasonic wave is passed Sensor is specifically used for:

Multiple test points are chosen in the targeted vein region；

Most short distance between each test point in skin surface and the multiple test point is determined according to the 3D rendering From obtaining multiple shortest distances；

Using the mean value of the multiple shortest distance as the skin thickness.

4. electronic equipment according to claim 1-3, which is characterized in that join described according to the target signature In terms of number determines the targeted vein image acquisition parameter of the hand vein recognition mould group, the processing circuit is specifically used for:

According to the mapping relations between preset characteristic parameter and vein image acquisition parameter, the target signature parameter pair is determined The corresponding targeted vein image acquisition parameter of the hand vein recognition mould group answered.

5. electronic equipment according to claim 1-4, which is characterized in that the processing circuit also particularly useful for:

The characteristic point quantity that each region in the multiple region is determined according to the target signature point set, obtains multiple characteristic points Quantity；

The characteristic point quantity for being greater than preset threshold is chosen from the multiple characteristic point quantity, obtains at least one target feature point Quantity, and at least one described corresponding region of target feature point quantity is obtained, obtain at least one target area；

Obtain default vein template corresponding with the predetermined patterns；

The corresponding characteristic point at least one described target area characteristic point corresponding with the default vein template is matched, Obtain object matching value；

6. a kind of vein image acquisition method, which is characterized in that be applied to electronic equipment, the electronic equipment includes hand vein recognition Mould group and ultrasonic sensor, which comprises

Venous collection is carried out according to the targeted vein image acquisition parameter by the hand vein recognition mould group, obtains targeted vein Image.

7. according to the method described in claim 6, it is characterized in that, described determine target object by the ultrasonic sensor Predetermined patterns skin target signature parameter, comprising:

8. the method according to the description of claim 7 is characterized in that when the target signature parameter includes skin thickness, institute It states and parameter extraction is carried out to the target 3D rendering, obtain the target signature parameter of skin, comprising:

Multiple test points are chosen in the targeted vein region；

Using the mean value of the multiple shortest distance as the skin thickness.

9. according to the described in any item methods of claim 6-8, which is characterized in that described to be determined according to the target signature parameter The targeted vein image acquisition parameter of the hand vein recognition mould group, comprising:

10. the method according to claim 6, which is characterized in that the method also includes:

Obtain default vein template corresponding with the predetermined patterns；

11. a kind of vein image acquisition device, which is characterized in that be applied to electronic equipment, the electronic equipment includes that vein is known Other mould group and ultrasonic sensor, described device include:

The target of first determination unit, the skin of the predetermined patterns for determining target object by the ultrasonic sensor is special Levy parameter；

Second determination unit, for determining that the targeted vein image of the hand vein recognition mould group is adopted according to the target signature parameter Collect parameter；

Acquisition unit is adopted for carrying out vein according to the targeted vein image acquisition parameter by the hand vein recognition mould group Collection, obtains targeted vein image.

12. a kind of electronic equipment, which is characterized in that including processor, memory, the memory is for storing one or more Program, and be configured to be executed by the processor, described program includes for executing as described in claim any one of 6-10 Method in step instruction.

13. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange, In, the computer program makes computer execute such as the described in any item methods of claim 6-10.