CN110169759A - Blood temperature detection method and Related product - Google Patents
Blood temperature detection method and Related product Download PDFInfo
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- CN110169759A CN110169759A CN201910452739.9A CN201910452739A CN110169759A CN 110169759 A CN110169759 A CN 110169759A CN 201910452739 A CN201910452739 A CN 201910452739A CN 110169759 A CN110169759 A CN 110169759A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4887—Locating particular structures in or on the body
- A61B5/489—Blood vessels
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/14—Vascular patterns
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- Evolutionary Computation (AREA)
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- Vascular Medicine (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Collating Specific Patterns (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The embodiment of the present application discloses a kind of blood temperature detection method and Related product, applied to electronic equipment, electronic equipment includes hand vein recognition mould group, wherein, the described method includes: carrying out venous collection by predetermined patterns of the hand vein recognition mould group to target object, vein image is obtained;Feature extraction is carried out to the vein image, obtains target signature collection;The target blood temperature value of the predetermined patterns is determined according to the target signature collection.Using the embodiment of the present application, it can realize that blood temperature detector is surveyed by vein image, improve the practical value of vein identification technology.
Description
Technical field
This application involves technical field of electronic equipment, and in particular to a kind of blood temperature detection 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
Technology also becomes the popular biological identification technology of electronic equipment, and still, existing vein identification technology is applied to unlock side mostly
Therefore face reduces the practical value of vein identification technology.
Summary of the invention
The embodiment of the present application provides a kind of blood temperature detection method and Related product, can be realized by vein identification technology
Blood temperature detector is surveyed, and the practical value of vein identification technology is improved.
In a first aspect, the embodiment of the present application provide a kind of electronic equipment, the electronic equipment include hand vein recognition mould group and
Processing circuit, wherein
The hand vein recognition mould group carries out venous collection for the predetermined patterns to target object, obtains vein image;
The processing circuit obtains target signature collection for carrying out feature extraction to the vein image;And according to institute
State the target blood temperature value that target signature collection determines the predetermined patterns.
Second aspect, the embodiment of the present application provide a kind of blood temperature detection method, are applied to electronic equipment, the electronic equipment
Including hand vein recognition mould group, which comprises
Venous collection is carried out by predetermined patterns of the hand vein recognition mould group to target object, obtains vein image;
Feature extraction is carried out to the vein image, obtains target signature collection;
The target blood temperature value of the predetermined patterns is determined according to the target signature collection.
The third aspect, the embodiment of the present application provide a kind of blood temperature detection device, are applied to electronic equipment, the electronic equipment
Including hand vein recognition mould group, described device includes:
Acquisition unit is obtained for carrying out venous collection by predetermined patterns of the hand vein recognition mould group to target object
To vein image;
Extraction unit obtains target signature collection for carrying out feature extraction to the vein image;
Determination unit, for determining the target blood temperature value of the predetermined patterns according to the target signature collection.
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 blood temperature detection method and Related product described in the embodiment of the present application, are applied to electronic equipment,
Electronic equipment includes hand vein recognition mould group, carries out venous collection by predetermined patterns of the hand vein recognition mould group to target object, obtains
To vein image, feature extraction is carried out to vein image, obtains target signature collection, determines predetermined patterns according to target signature collection
Target blood temperature value so, it is possible to realize that blood temperature detector is surveyed by vein image, improve the practical value of vein identification technology.
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 blood temperature detection method provided by the embodiments of the present application;
Fig. 1 C is the demonstration schematic diagram provided by the embodiments of the present application for realizing that blood temperature detector is surveyed based on two pairs of characteristic points;
Fig. 2 is the flow diagram of another blood temperature detection method provided by the embodiments of the present application;
Fig. 3 is the structural schematic diagram of another electronic equipment provided by the embodiments of the present application;
Fig. 4 is a kind of functional unit composition block diagram of blood temperature detection 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.
170 hand vein recognition mould group of sensor can also include ambient light sensor, the proximity sensor based on light and capacitor, fingerprint knowledge
Other mould group, touch sensor is (for example, be based on light touch sensor and/or capacitive touch sensors, wherein touch sensor
The a part that can be touching display screen can also be used as a touch sensor arrangement and independently use), acceleration transducer,
Camera and other sensors etc., camera can be front camera or rear camera, and fingerprint recognition mould group can integrate
Below display screen, for acquiring fingerprint image, fingerprint recognition mould group can be following at least one: optical finger print identifies mould
Group or ultrasonic fingerprint identification mould group etc., are 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 be set in the side of electronic equipment.Specifically, hand vein recognition mould group
It may include infrared lamp and vein image acquisition module, infrared lamp can emit infrared light, the skin of 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 image can be passed through
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:
The hand vein recognition mould group carries out venous collection for the predetermined patterns to target object, obtains vein image;
The processing circuit obtains target signature collection for carrying out feature extraction to the vein image;And according to institute
State the target blood temperature value that target signature collection determines the predetermined patterns.
In a possible example, the target signature collection includes target signature point set and targeted vein width;Institute
In terms of stating the target blood temperature value for determining the predetermined patterns according to the target signature collection, the processing circuit is specifically used for:
According to the mapping relations between preset position and vein template, the corresponding default vein of the predetermined patterns is determined
Template;
The target signature point set is matched with the feature point set of the default vein template;
In the feature point set successful match of the target signature point set and the default vein template, obtain described default
The corresponding standard blood temperature value of vein template and standard IV width;
Determine the deviation between the targeted vein width and the standard IV width;
According to the deviation and the standard blood temperature value, target blood temperature value is determined.
In a possible example, when the target signature collection includes targeted vein width, described to described quiet
Arteries and veins image carries out feature extraction, and in terms of obtaining target signature collection, the processing circuit is specifically used for:
Image segmentation is carried out to the vein image, obtains venosomes image;
The venosomes image is divided into multiple regions, obtains multiple regions image;
The width for determining each area image in the multiple area image obtains multiple width;
Using the maximum value in the multiple width as the targeted vein width.
In a possible example, when the target signature collection includes target signature point set, described in the foundation
In terms of target signature collection determines the target blood temperature value of the predetermined patterns, the processing circuit is specifically used for:
Obtain target environment temperature;
The corresponding default vein template set of the predetermined patterns is obtained, the default vein template set includes multiple vein moulds
Plate, the corresponding environment temperature of each vein template;
Targeted vein template corresponding with the target environment temperature is chosen from the default vein template set;
The target signature point set is matched with the feature point set of the targeted vein template;
In the feature point set successful match of the target signature point set and the targeted vein template, according to matching result
The highest two pairs of characteristic points of matching degree are chosen from the target signature point set and the feature point set of the targeted vein template;
The target color temperature value of the predetermined patterns is determined according to two pairs of characteristic points.
In a possible example, carried out described by predetermined patterns of the hand vein recognition mould group to target object
Venous collection, in terms of obtaining vein image, the hand vein recognition mould group is specifically used for:
Obtain the desired physiological characteristic parameter of the target object;
According to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, the desired physiological feature is determined
The corresponding target mapping relations collection of parameter, it includes multiple mapping relations that the mapping relations, which are concentrated, and each mapping relations are quiet
Arteries and veins acquires the mapping relations between position and venous collection parameter set;
According to the target mapping relations collection, the corresponding targeted vein acquisition parameter collection of the predetermined patterns is determined;
Vein is carried out to the predetermined patterns according to the targeted vein acquisition parameter collection by the hand vein recognition mould group
Acquisition, obtains the vein image.
As can be seen that above-mentioned electronic equipment can carry out vein by predetermined patterns of the hand vein recognition mould group to target object
Acquisition, obtains vein image, carries out feature extraction to vein image, obtains target signature collection, determines according to target signature collection pre-
If the target blood temperature value at position, it so, it is possible to realize that blood temperature detector is surveyed by vein image, improve the practical of vein identification technology
Value.
Figure 1B is please referred to, Figure 1B is a kind of flow diagram of blood temperature detection method provided by the embodiments of the present application, is such as schemed
Shown, applied to electronic equipment as shown in Figure 1A, the electronic equipment includes hand vein recognition mould group, this blood temperature detection method packet
It includes:
101, venous collection is carried out by predetermined patterns of the hand vein recognition mould group to target object, obtains vein figure
Picture.
Wherein, target object can be people or other animals, and above-mentioned vein image can be any the one of user's body
The vein image at a position is not limited thereto for example, referring to vein, vena metacarpea, leg vein, cardinal vein etc., specific implementation
In, it needs to obtain the vein at which position, then venous collection can be carried out to the position, it can obtain 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 according to certain venous collection parameter set by hand vein recognition mould group, obtains 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.
Wherein, in the embodiment of the present application, venous collection parameter set includes at least one of following parameter: hand vein recognition mould group
Operating current, the operating voltage of hand vein recognition mould group, the operating power of hand vein recognition mould group, hand vein recognition mould group work frequency
Rate, the frequency range of the infrared light of hand vein recognition mould group, transmission power of infrared light of hand vein recognition mould group etc., do not make herein
It limits.In the specific implementation, electronic equipment can carry out venous collection according to venous collection parameter set, vein image is obtained.
In a possible example, above-mentioned steps 101, by the hand vein recognition mould group to the default portion of target object
Position carries out venous collection, obtains vein image, may include steps of:
11, the desired physiological characteristic parameter of the target object is obtained;
12, according to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, the desired physiological is determined
The corresponding target mapping relations collection of characteristic parameter, it includes multiple mapping relations that the mapping relations, which are concentrated, and each mapping relations are equal
For the mapping relations between venous collection position and venous collection parameter set;
13, according to the target mapping relations collection, the corresponding targeted vein acquisition parameter of the predetermined patterns is determined
Collection;
14, the predetermined patterns are carried out according to the targeted vein acquisition parameter collection by the hand vein recognition mould group quiet
Arteries and veins acquisition, obtains the vein image.
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.Different people, physical condition are different
Sample, corresponding venous collection parameter is different, and certainly, the same person is corresponding due to the otherness between physical feeling
Venous collection parameter is also different.It can be stored in advance in electronic equipment between preset physiological characteristic parameter and mapping relations collection
Corresponding relationship, the mapping relations concentrate include multiple mapping relations, each mapping relations are venous collection position and vein
Mapping relations between acquisition parameter collection.In the specific implementation, the desired physiological feature of the available target object of electronic equipment is joined
Number, in turn, according to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, determines desired physiological characteristic parameter
Corresponding target mapping relations collection can determine the corresponding targeted vein acquisition ginseng of predetermined patterns according to target mapping relations collection
Manifold, in this way, can according to user physiological status and acquisition position, select reasonable venous collection parameter, help to mention
Rise vein image acquisition efficiency.
102, feature extraction is carried out to the vein image, obtains target signature collection.
Wherein, in the embodiment of the present application, target signature collection may include at least one of following: characteristic point, feature contour, quiet
Pulsewidth degree etc., it is not limited here.In the specific implementation, target spy can be obtained by carrying out feature extraction to vein image
Collection.Features described above point, feature contour can realize by feature extraction mode, and the major way that features described above is extracted can be with
Change (scale invariant feature for following at least one: Harris Corner Detection, scale invariant feature
Transform, SIFT), SURF algorithm, contours extract etc., be not limited thereto.Vein width can be understood as average vein
Width first can carry out image segmentation to vein image, obtain venosomes image, i.e., only include the image of vein, by this
The available vein width of venosomes image.
103, the target blood temperature value of the predetermined patterns is determined according to the target signature collection.
Wherein, target signature collection has reacted blood temperature to a certain extent, certainly, blood also can to a certain extent heat expansion it is cold
Contracting, therefore, the width of vein is also with temperature change to a certain extent.
Optionally, the target signature collection includes target signature point set and targeted vein width;Above-mentioned steps 103, foundation
The target signature collection determines the target blood temperature value of the predetermined patterns, it may include following steps:
A1, according to the mapping relations between preset position and vein template, determine that the predetermined patterns are corresponding default
Vein template;
A2, the target signature point set is matched with the feature point set of the default vein template;
A3, in the feature point set successful match of the target signature point set and the default vein template, described in acquisition
The default corresponding standard blood temperature value of vein template and standard IV width;
A4, deviation between the targeted vein width and the standard IV width is determined;
A5, according to the deviation and the standard blood temperature value, determine target blood temperature value.
Wherein, in the embodiment of the present application, target signature collection may include target signature point set and targeted vein width, due to
Different positions, vein image be also it is different, therefore, preset position and vein mould can be stored in advance in electronic equipment
Mapping relations between plate can determine that the corresponding default vein template of predetermined patterns in turn can according to the mapping relations in this way
Target signature point set to be matched with the feature point set of default vein template, and in target signature point set and default vein mould
When the feature point set successful match of plate, the default corresponding standard blood temperature value of vein template and standard IV width are obtained, and
Determine the deviation between targeted vein width and the standard IV width, deviation=(targeted vein width-standard IV
Width)/standard IV width, finally, can determine target blood temperature value, target blood temperature value according to deviation and standard blood temperature value
=(1+ deviation) * standard blood temperature value, in this way, can realize that blood temperature detector is surveyed to a certain extent.
Further, when the target signature collection includes targeted vein width, above-mentioned steps 102, to the vein figure
As progress feature extraction, target signature collection is obtained, may include steps of:
21, image segmentation is carried out to the vein image, obtains venosomes image;
22, the venosomes image is divided into multiple regions, obtains multiple regions image;
23, the width for determining each area image in the multiple area image obtains multiple width;
24, using the maximum value in the multiple width as the targeted vein width.
Wherein, when target signature collection includes targeted vein width, electronic equipment can carry out image point to vein image
It cuts, to obtain venosomes image, i.e., only includes the image of the region of veinprint, certainly, due in an image
There may be multiple veins, therefore, venosomes image can be divided into multiple regions, obtain multiple regions image, it can be with
The mean breadth for determining each area image in multiple regions image obtains multiple width, can choose in multiple width most
Big value is used as targeted vein width, and the width detection of vein image may be implemented in this way.
In a possible example, when the target signature collection includes target signature point set, above-mentioned steps 103, according to
The target blood temperature value that the predetermined patterns are determined according to the target signature collection, may include steps of:
B1, target environment temperature is obtained;
B2, the corresponding default vein template set of the predetermined patterns is obtained, the default vein template set includes multiple quiet
Arteries and veins template, the corresponding environment temperature of each vein template;
B3, targeted vein template corresponding with the target environment temperature is chosen from the default vein template set;
B4, the target signature point set is matched with the feature point set of the targeted vein template;
B5, in the feature point set successful match of the target signature point set and the targeted vein template, according to matching
As a result the highest two couples of spies of matching degree are chosen from the target signature point set and the feature point set of the targeted vein template
Sign point;
B6, the target color temperature value that the predetermined patterns are determined according to two pairs of characteristic points.
Wherein, the available target environment temperature of electronic equipment can also obtain the corresponding default vein mould of predetermined patterns
Plate collection, which may include multiple vein templates, and each vein template can correspond to an environment temperature, because
This, targeted vein template corresponding with target environment temperature can be chosen from default vein template set in turn can be by target
When the feature point set successful match of feature point set and targeted vein template, then illustrates target object identification success, then may be used
To choose highest two pairs of matching degree from target signature point set and the feature point set of targeted vein template according to matching result
Characteristic point, as shown in Figure 1 C, i.e., target feature point concentrates selected characteristic point A1, B1 in vein image, in targeted vein template
Selected characteristic point A2, B2 in feature point set, wherein it is a pair of of characteristic point between A1 and A2, the matching between characteristic point A1 and A2
Value is x1, is another pair characteristic point between B1 and B2, and matching value between characteristic point B1 and B2 is x2, in the specific implementation, can be with
It determines the first Euclidean distance between A1 and B1 and the second Euclidean distance between A2 and B2, obtains targeted vein template pair
The standard blood temperature value answered, then (1+ (first the-the second Euclidean distance of Euclidean distance)/second Europe target blood temperature value=standard blood temperature value *
Formula distance), the blood temperature of target object is detected in this way, can realize.
In a possible example, above-mentioned steps 103 determine the mesh of the predetermined patterns according to the target signature collection
Blood temperature value is marked, may include steps of:
C1, image segmentation is carried out to the vein image, obtains venosomes image;
C2, the corresponding target area of the venosomes image is determined;
C3, determine that the target signature concentrates the characteristic point quantity in the venosomes image;
C4, target feature point distribution density is determined according to the characteristic point quantity, the target area;
C5, according to the mapping relations between preset blood temperature and characteristic point distribution density, determine the target feature point point
The corresponding target color temperature value of cloth density.
Wherein, electronic equipment first can carry out image segmentation to vein image, obtain venosomes image, i.e., only include quiet
The image of arteries and veins can also determine target signature in turn by its available corresponding target area of the venosomes image
The characteristic point quantity in venosomes image is concentrated, target feature point can be calculated according to characteristic point quantity, target area
Distribution density, i.e. target feature point distribution density=target area/characteristic point quantity can also be stored in advance in electronic equipment pre-
If blood temperature and characteristic point distribution density between mapping relations can determine target feature point according to the mapping relations in turn
The corresponding target color temperature value of distribution density, in this way, the survey of blood temperature detector may be implemented.
In a possible example, after above-mentioned steps 103, it can also include the following steps:
D1, image segmentation is carried out to the vein image, obtains venosomes image;
The characteristic point distribution of D2, the analysis venosomes image;
D3, circular image interception is carried out to the venosomes image according to a not concentric of M, obtains M circular vein
Area image, the M are the integer greater than 3;
D4, 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;
D5, the target circle venosomes image is divided to obtain N number of annulus, the ring width of N number of annulus is identical;
D6, 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;
D7, stop carrying out Feature Points Matching immediately when accumulative matching value is greater than preset matching threshold value, and export vein
Identify successful prompting message.
Wherein, electronic equipment can carry out image segmentation to vein image, obtain venosomes image, and in turn, analysis should
The characteristic point of venosomes image is distributed, and is carried out circular image interception to the venosomes image according to a not concentric of M, is obtained
M circular vein area image, M are the integer greater than 3, and target circular vein area is selected from M circular vein area image
Area image, the quantity for the characteristic point that target circle venosomes image is included are greater than its in M circular vein area image
His circular vein area image, divides target circle venosomes image to obtain N number of annulus, and the ring width of N number of annulus is identical, from
The smallest annulus of radius starts in N number of annulus, N number of annulus is successively carried out Feature Points Matching with default vein template, and add up
The matching value of annulus is matched, in this way, can use the characteristic point of different location or different veins during hand vein recognition
In matching, stop carrying out Feature Points Matching immediately when accumulative matching value is greater than preset matching threshold value, and export hand vein recognition
Successful prompting message so, it is possible quick and precisely identify hand vein recognition.
As can be seen that blood temperature detection method described in the embodiment of the present application, is applied to electronic equipment, electronic equipment packet
Hand vein recognition mould group is included, venous collection is carried out by predetermined patterns of the hand vein recognition mould group to target object, obtains vein image,
Feature extraction is carried out to vein image, obtains target signature collection, the target blood temperature value of predetermined patterns is determined according to target signature collection,
It so, it is possible to realize that blood temperature detector is surveyed by vein image, improve the practical value of vein identification technology.
Consistently with embodiment shown in above-mentioned Figure 1B, referring to Fig. 2, Fig. 2 is a kind of blood provided by the embodiments of the present application
The flow diagram of temperature detection method, as shown, being applied to electronic equipment as shown in Figure 1A, the electronic equipment includes quiet
Arteries and veins identifies mould group, this blood temperature detection method includes:
201, the desired physiological characteristic parameter of the target object is obtained.
202, according to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, the desired physiological is determined
The corresponding target mapping relations collection of characteristic parameter, it includes multiple mapping relations that the mapping relations, which are concentrated, and each mapping relations are equal
For the mapping relations between venous collection position and venous collection parameter set.
203, according to the target mapping relations collection, the corresponding targeted vein acquisition parameter of the predetermined patterns is determined
Collection.
204, the predetermined patterns are carried out according to the targeted vein acquisition parameter collection by the hand vein recognition mould group
Venous collection obtains vein image.
205, feature extraction is carried out to the vein image, obtains target signature collection.
206, the target blood temperature value of the predetermined patterns is determined according to the target signature collection.
Wherein, the specific descriptions of above-mentioned steps 201- step 206 are referred to blood temperature detector survey side described in above-mentioned Figure 1B
The corresponding steps of method, details are not described herein.
As can be seen that blood temperature detection method described in the embodiment of the present application, is applied to electronic equipment, electronic equipment packet
Hand vein recognition mould group is included, by hand vein recognition mould group, suitable venous collection list can be selected according to the physiological characteristic of user
Member carries out venous collection to the predetermined patterns of target object, obtains vein image, carries out feature extraction to vein image, obtain
Target signature collection determines the target blood temperature value of predetermined patterns according to target signature collection, in this way, vein figure can not only be acquired precisely
Picture, and can realize that blood temperature detector is surveyed by vein image, blood temperature detection accuracy is improved, the reality of vein identification technology is improved
With value.
Consistently with above-described embodiment, referring to Fig. 3, Fig. 3 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, wherein said one or multiple programs are stored in above-mentioned memory, and are matched
It sets and is executed by above-mentioned processor, in the embodiment of the present application, above procedure includes the instruction for executing following steps:
Venous collection is carried out by predetermined patterns of the hand vein recognition mould group to target object, obtains vein image;
Feature extraction is carried out to the vein image, obtains target signature collection;
The target blood temperature value of the predetermined patterns is determined according to the target signature collection.
As can be seen that electronic equipment described in the embodiment of the present application, which includes hand vein recognition mould group, is led to
It crosses hand vein recognition mould group and venous collection is carried out to the predetermined patterns of target object, obtain vein image, vein image is carried out special
Sign is extracted, and target signature collection is obtained, and the target blood temperature value of predetermined patterns is determined according to target signature collection, so, it is possible by quiet
Arteries and veins image realizes that blood temperature detector is surveyed, and improves the practical value of vein identification technology.
In a possible example, the target signature collection includes target signature point set and targeted vein width;Institute
In terms of stating the target blood temperature value for determining the predetermined patterns according to the target signature collection, above procedure includes following for executing
The instruction of step:
According to the mapping relations between preset position and vein template, the corresponding default vein of the predetermined patterns is determined
Template;
The target signature point set is matched with the feature point set of the default vein template;
In the feature point set successful match of the target signature point set and the default vein template, obtain described default
The corresponding standard blood temperature value of vein template and standard IV width;
Determine the deviation between the targeted vein width and the standard IV width;
According to the deviation and the standard blood temperature value, target blood temperature value is determined.
In a possible example, when the target signature collection includes targeted vein width, described to described quiet
Arteries and veins image carries out feature extraction, and in terms of obtaining target signature collection, above procedure includes the instruction for executing following steps:
Image segmentation is carried out to the vein image, obtains venosomes image;
The venosomes image is divided into multiple regions, obtains multiple regions image;
The width for determining each area image in the multiple area image obtains multiple width;
Using the maximum value in the multiple width as the targeted vein width.
In a possible example, when the target signature collection includes target signature point set, described in the foundation
In terms of target signature collection determines the target blood temperature value of the predetermined patterns, above procedure includes the finger for executing following steps
It enables:
Obtain target environment temperature;
The corresponding default vein template set of the predetermined patterns is obtained, the default vein template set includes multiple vein moulds
Plate, the corresponding environment temperature of each vein template;
Targeted vein template corresponding with the target environment temperature is chosen from the default vein template set;
The target signature point set is matched with the feature point set of the targeted vein template;
In the feature point set successful match of the target signature point set and the targeted vein template, according to matching result
The highest two pairs of characteristic points of matching degree are chosen from the target signature point set and the feature point set of the targeted vein template;
The target color temperature value of the predetermined patterns is determined according to two pairs of characteristic points.
In a possible example, carried out described by predetermined patterns of the hand vein recognition mould group to target object
Venous collection, in terms of obtaining vein image, above procedure includes the instruction for executing following steps:
Obtain the desired physiological characteristic parameter of the target object;
According to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, the desired physiological feature is determined
The corresponding target mapping relations collection of parameter, it includes multiple mapping relations that the mapping relations, which are concentrated, and each mapping relations are quiet
Arteries and veins acquires the mapping relations between position and venous collection parameter set;
According to the target mapping relations collection, the corresponding targeted vein acquisition parameter collection of the predetermined patterns is determined;
Vein is carried out to the predetermined patterns according to the targeted vein acquisition parameter collection by the hand vein recognition mould group
Acquisition, obtains the vein image.
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. 4 is the functional unit composition block diagram of blood temperature detection device 400 involved in the embodiment of the present application.The blood temperature detector
Device 400 is surveyed, electronic equipment is applied to, the electronic equipment includes hand vein recognition mould group, and described device 400 includes: that acquisition is single
Member 401, extraction unit 402 and determination unit 403, specific as follows:
Acquisition unit 401, for carrying out venous collection by predetermined patterns of the hand vein recognition mould group to target object,
Obtain vein image;
Extraction unit 402 obtains target signature collection for carrying out feature extraction to the vein image;
Determination unit 403, for determining the target blood temperature value of the predetermined patterns according to the target signature collection.
As can be seen that blood temperature detection device described in the embodiment of the present application, is applied to electronic equipment, electronic equipment packet
Hand vein recognition mould group is included, venous collection is carried out by predetermined patterns of the hand vein recognition mould group to target object, obtains vein image,
Feature extraction is carried out to vein image, obtains target signature collection, the target blood temperature value of predetermined patterns is determined according to target signature collection,
It so, it is possible to realize that blood temperature detector is surveyed by vein image, improve the practical value of vein identification technology.
In a possible example, the target signature collection includes target signature point set and targeted vein width;Institute
In terms of stating the target blood temperature value for determining the predetermined patterns according to the target signature collection, the determination unit 403 is specifically used for:
According to the mapping relations between preset position and vein template, the corresponding default vein of the predetermined patterns is determined
Template;
The target signature point set is matched with the feature point set of the default vein template;
In the feature point set successful match of the target signature point set and the default vein template, obtain described default
The corresponding standard blood temperature value of vein template and standard IV width;
Determine the deviation between the targeted vein width and the standard IV width;
According to the deviation and the standard blood temperature value, target blood temperature value is determined.
In a possible example, when the target signature collection includes targeted vein width, described to described quiet
Arteries and veins image carries out feature extraction, and in terms of obtaining target signature collection, the extraction unit 402 is specifically used for:
Image segmentation is carried out to the vein image, obtains venosomes image;
The venosomes image is divided into multiple regions, obtains multiple regions image;
The width for determining each area image in the multiple area image obtains multiple width;
Using the maximum value in the multiple width as the targeted vein width.
In a possible example, when the target signature collection includes target signature point set, described in the foundation
In terms of target signature collection determines the target blood temperature value of the predetermined patterns, the determination unit 403 is specifically used for:
Obtain target environment temperature;
The corresponding default vein template set of the predetermined patterns is obtained, the default vein template set includes multiple vein moulds
Plate, the corresponding environment temperature of each vein template;
Targeted vein template corresponding with the target environment temperature is chosen from the default vein template set;
The target signature point set is matched with the feature point set of the targeted vein template;
In the feature point set successful match of the target signature point set and the targeted vein template, according to matching result
The highest two pairs of characteristic points of matching degree are chosen from the target signature point set and the feature point set of the targeted vein template;
The target color temperature value of the predetermined patterns is determined according to two pairs of characteristic points.
In a possible example, carried out described by predetermined patterns of the hand vein recognition mould group to target object
Venous collection, in terms of obtaining vein image, the acquisition unit 401 is specifically used for:
Obtain the desired physiological characteristic parameter of the target object;
According to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, the desired physiological feature is determined
The corresponding target mapping relations collection of parameter, it includes multiple mapping relations that the mapping relations, which are concentrated, and each mapping relations are quiet
Arteries and veins acquires the mapping relations between position and venous collection parameter set;
According to the target mapping relations collection, the corresponding targeted vein acquisition parameter collection of the predetermined patterns is determined;
Vein is carried out to the predetermined patterns according to the targeted vein acquisition parameter collection by the hand vein recognition mould group
Acquisition, obtains the vein image.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment
Some or all of method step, above-mentioned computer include electronic equipment.
The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either record method step in method embodiment.The computer program product can be a software installation
Packet, above-mentioned computer includes electronic equipment.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of said units, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English:
Random Access Memory, referred to as: RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas;
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (13)
1. a kind of electronic equipment, which is characterized in that the electronic equipment includes hand vein recognition mould group and processing circuit, wherein
The hand vein recognition mould group carries out venous collection for the predetermined patterns to target object, obtains vein image;
The processing circuit obtains target signature collection for carrying out feature extraction to the vein image;And according to the mesh
Mark feature set determines the target blood temperature value of the predetermined patterns.
2. electronic equipment according to claim 1, which is characterized in that the target signature collection include target signature point set and
Targeted vein width;In terms of the target blood temperature value for determining the predetermined patterns according to the target signature collection, the place
Reason circuit is specifically used for:
According to the mapping relations between preset position and vein template, the corresponding default vein mould of the predetermined patterns is determined
Plate;
The target signature point set is matched with the feature point set of the default vein template;
In the feature point set successful match of the target signature point set and the default vein template, the default vein is obtained
The corresponding standard blood temperature value of template and standard IV width;
Determine the deviation between the targeted vein width and the standard IV width;
According to the deviation and the standard blood temperature value, target blood temperature value is determined.
3. electronic equipment according to claim 2, which is characterized in that in the target signature collection include targeted vein width
When, feature extraction is carried out to the vein image described, in terms of obtaining target signature collection, the processing circuit is specifically used for:
Image segmentation is carried out to the vein image, obtains venosomes image;
The venosomes image is divided into multiple regions, obtains multiple regions image;
The width for determining each area image in the multiple area image obtains multiple width;
Using the maximum value in the multiple width as the targeted vein width.
4. electronic equipment according to claim 1, which is characterized in that in the target signature collection include target signature point set
When, in terms of the target blood temperature value for determining the predetermined patterns according to the target signature collection, the processing circuit is specific
For:
Obtain target environment temperature;
The corresponding default vein template set of the predetermined patterns is obtained, the default vein template set includes multiple vein templates,
The corresponding environment temperature of each vein template;
Targeted vein template corresponding with the target environment temperature is chosen from the default vein template set;
The target signature point set is matched with the feature point set of the targeted vein template;
In the feature point set successful match of the target signature point set and the targeted vein template, according to matching result from institute
State the selection highest two pairs of characteristic points of matching degree in target signature point set and the feature point set of the targeted vein template;
The target color temperature value of the predetermined patterns is determined according to two pairs of characteristic points.
5. electronic equipment according to claim 1-4, which is characterized in that pass through the hand vein recognition mould described
Group carries out venous collection to the predetermined patterns of target object, and in terms of obtaining vein image, the hand vein recognition mould group is specifically used for:
Obtain the desired physiological characteristic parameter of the target object;
According to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, the desired physiological characteristic parameter is determined
Corresponding target mapping relations collection, it includes multiple mapping relations that the mapping relations, which are concentrated, and each mapping relations are that vein is adopted
Collect the mapping relations between position and venous collection parameter set;
According to the target mapping relations collection, the corresponding targeted vein acquisition parameter collection of the predetermined patterns is determined;
Venous collection is carried out to the predetermined patterns according to the targeted vein acquisition parameter collection by the hand vein recognition mould group,
Obtain the vein image.
6. a kind of blood temperature detection method, which is characterized in that be applied to electronic equipment, the electronic equipment includes hand vein recognition mould
Group, which comprises
Venous collection is carried out by predetermined patterns of the hand vein recognition mould group to target object, obtains vein image;
Feature extraction is carried out to the vein image, obtains target signature collection;
The target blood temperature value of the predetermined patterns is determined according to the target signature collection.
7. according to the method described in claim 6, it is characterized in that, the target signature collection includes target signature point set and target
Vein width;The target blood temperature value that the predetermined patterns are determined according to the target signature collection, comprising:
According to the mapping relations between preset position and vein template, the corresponding default vein mould of the predetermined patterns is determined
Plate;
The target signature point set is matched with the feature point set of the default vein template;
In the feature point set successful match of the target signature point set and the default vein template, the default vein is obtained
The corresponding standard blood temperature value of template and standard IV width;
Determine the deviation between the targeted vein width and the standard IV width;
According to the deviation and the standard blood temperature value, target blood temperature value is determined.
8. the method according to the description of claim 7 is characterized in that when the target signature collection includes targeted vein width,
It is described that feature extraction is carried out to the vein image, obtain target signature collection, comprising:
Image segmentation is carried out to the vein image, obtains venosomes image;
The venosomes image is divided into multiple regions, obtains multiple regions image;
The width for determining each area image in the multiple area image obtains multiple width;
Using the maximum value in the multiple width as the targeted vein width.
9. according to the method described in claim 6, it is characterized in that, when the target signature collection includes target signature point set,
The target blood temperature value that the predetermined patterns are determined according to the target signature collection, comprising:
Obtain target environment temperature;
The corresponding default vein template set of the predetermined patterns is obtained, the default vein template set includes multiple vein templates,
The corresponding environment temperature of each vein template;
Targeted vein template corresponding with the target environment temperature is chosen from the default vein template set;
The target signature point set is matched with the feature point set of the targeted vein template;
In the feature point set successful match of the target signature point set and the targeted vein template, according to matching result from institute
State the selection highest two pairs of characteristic points of matching degree in target signature point set and the feature point set of the targeted vein template;
The target color temperature value of the predetermined patterns is determined according to two pairs of characteristic points.
10. the method according to claim 6, which is characterized in that described to pass through the hand vein recognition mould group pair
The predetermined patterns of target object carry out venous collection, obtain vein image, comprising:
Obtain the desired physiological characteristic parameter of the target object;
According to the corresponding relationship between preset physiological characteristic parameter and mapping relations collection, the desired physiological characteristic parameter is determined
Corresponding target mapping relations collection, it includes multiple mapping relations that the mapping relations, which are concentrated, and each mapping relations are that vein is adopted
Collect the mapping relations between position and venous collection parameter set;
According to the target mapping relations collection, the corresponding targeted vein acquisition parameter collection of the predetermined patterns is determined;
Venous collection is carried out to the predetermined patterns according to the targeted vein acquisition parameter collection by the hand vein recognition mould group,
Obtain the vein image.
11. a kind of blood temperature detection device, which is characterized in that be applied to electronic equipment, the electronic equipment includes hand vein recognition mould
Group, described device include:
Acquisition unit obtains quiet for carrying out venous collection by predetermined patterns of the hand vein recognition mould group to target object
Arteries and veins image;
Extraction unit obtains target signature collection for carrying out feature extraction to the vein image;
Determination unit, for determining the target blood temperature value of the predetermined patterns according to the target signature collection.
12. a kind of electronic equipment, which is characterized in that including processor, memory, the memory is for storing one or more
Program, and be configured to be executed by the processor, described program includes for executing as described in claim any one of 6-10
Method in step instruction.
13. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange,
In, the computer program makes computer execute such as the described in any item methods of claim 6-10.
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