CN110197161B

CN110197161B - Vein identification method and related product

Info

Publication number: CN110197161B
Application number: CN201910472662.1A
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: 2021-05-14
Anticipated expiration: 2039-05-31
Also published as: CN110197161A

Abstract

The embodiment of the application discloses a vein identification method and a related product, wherein the method is applied to electronic equipment, the electronic equipment comprises a vein identification module, the vein identification module is provided with a lens array and a vein imaging module, and the method comprises the following steps: acquiring, by the vein imaging module, a first vein image; determining a vein area of a part to be identified according to the first vein image; moving the lens array such that the focal points of the lenses in the lens array fall on the vein region; obtaining the vein image again to obtain a second vein image; and performing vein recognition on the part to be recognized according to the second vein image. The vein identification method and the vein identification device are beneficial to improving the vein identification precision.

Description

Vein identification method and related product

Technical Field

The application relates to the field of electronic technology, in particular to a vein identification method and a related product.

Background

Biometric recognition is a very important technology for protecting rights in future cyber societies. For example, a fingerprint recognition technology and a vein recognition technology, which are expected to be a next-generation authentication technology with fewer problems, are widely studied at present by providing a lens array in a vein imaging apparatus, irradiating a living body part with a plurality of near-infrared irradiation light sources, collecting infrared light reflected by the vein part by the lens array, sending the reflected infrared light to an image generation module in the vein imaging apparatus, obtaining a vein image, and performing identification using the vein image. In the prior art, when vein images are collected, due to the fact that collected parts are different, the lens array cannot adapt to all body parts to reflect sufficient infrared light, the collected vein images of part of the body parts are incomplete, and recognition efficiency is low.

Disclosure of Invention

The embodiment of the application provides a vein identification method and a related product, so that a lens array is expected to be dynamically moved according to different identification scenes, collected vein information is more comprehensive, and the success rate of vein identification is improved.

In a first aspect, an embodiment of the present application provides a vein identification method, which is applied to an electronic device including a vein identification module provided with a lens array and a vein imaging module, and includes:

acquiring, by the vein imaging module, a first vein image;

determining a vein area of a part to be identified according to the first vein image;

moving the lens array such that the focal points of the lenses in the lens array fall on the vein region;

obtaining the vein image again to obtain a second vein image;

and performing vein recognition on the part to be recognized according to the second vein image.

In a second aspect, an embodiment of the present application provides an electronic device for vein recognition, the electronic device including a vein recognition module, the vein recognition module being provided with a lens array and a vein imaging module, the electronic device including:

an acquisition unit for acquiring a first vein image by the vein imaging module;

a determining unit, configured to determine a vein region of a to-be-identified portion according to the first vein image;

a moving unit for moving the lens array so that the focal points of the lenses in the lens array fall on the vein region;

the acquisition unit is also used for acquiring the vein image again to obtain a second vein image;

and the identification unit is used for carrying out vein identification on the part to be identified according to the second vein image.

In a third aspect, embodiments of the present application provide an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the steps in the method according to the first aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, which stores a computer program, where the computer program makes a computer execute the method according to the first aspect.

In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, the computer being operable to cause a computer to perform the method according to the first aspect.

The embodiment of the application has the following beneficial effects:

it can be seen that, in the embodiment of the present application, a first vein image of a to-be-identified portion is obtained first, a vein region of the to-be-identified portion is determined based on the first vein image, then, a lens array in an electronic device is moved, a focus of a lens in the lens array is located in the vein region, finally, a second vein image of the to-be-identified portion is obtained through the moved lens array, and vein authentication is performed using the second vein image, because the focus of the lens is located in the vein region when the second vein image is generated, the second vein image carries rich vein information, and the precision of vein identification is improved; in addition, aiming at different body parts, due to the fact that the lens array is moved, a user does not need to actively adjust the posture of the part to be recognized, and a complete vein image can be acquired, so that the recognition process is simplified, and the user experience is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 1B is a schematic flowchart of a vein identification method according to an embodiment of the present application

FIG. 1C is a schematic view of a structure of a skin tissue according to an embodiment of the present invention

Fig. 2 is a schematic flowchart of another vein identification method provided in an embodiment of the present application;

fig. 3 is a schematic flowchart of another vein identification method provided in the embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device for vein recognition according to an embodiment of the present application;

fig. 5 is a block diagram illustrating functional units of an electronic device for vein recognition according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of another electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The electronic device in the present application may include a smart Phone (such as an Android Phone, an iOS Phone, a Windows Phone, etc.), a tablet computer, a palm computer, a notebook computer, a Mobile Internet device MID (Mobile Internet Devices, abbreviated as MID), a wearable device, and the like, and the electronic device is only an example, but not an exhaustive list, and in practical applications, the user device is not limited to the foregoing presentation form, and for example, the electronic device may further include: intelligent vehicle-mounted terminal, computer equipment and the like.

For the human body, the skin of the human body is divided into three layers, an epidermal layer, a dermal layer and a subcutaneous tissue layer, wherein veins of the human body are located in the dermal layer. Since the different layer thicknesses of the skin of different body parts lead to different identification parts, which correspond to different vein positions, when vein images of different body parts are acquired, the focal point in the lens array cannot always fall on the vein area of the part to be identified. For example, as shown in fig. 1C, the left diagram is a schematic diagram of three-layer distribution of finger skin, for example, when a focal point of a lens in an electronic device falls on a dermal layer of the finger skin, i.e., a vein region, when a vein image of the back of a hand shown in the right diagram is acquired, since a layer thickness of the skin of the back of the hand is different from a layer thickness of the skin of the finger, the focal point of the lens does not fall on the vein region, a complete vein image of the skin of the back of the hand cannot be acquired, and recognition accuracy when vein recognition is performed on the back of the hand is low, the present application mainly realizes how to improve accuracy of vein recognition on different.

Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device 100 according to an embodiment of the present disclosure, where the electronic device 100 includes: the vein recognition module comprises a shell 110, a circuit board 120 arranged in the shell 110, a display screen 130 arranged on the shell 110, a vein recognition module 140, and a processor 121 and a memory 122 arranged on the circuit board 120.

The vein recognition module 140 may be integrated under the display screen, or the vein recognition module 140 may also be disposed on the back of the electronic device housing. Specifically, the vein recognition module 140 may include a vein image generation module, an infrared light source 142, and a lens array 141, the lens array 141 includes at least one lens, the infrared light source 142 includes at least one near-infrared lamp, the lens array 141 is disposed opposite to the infrared light source 142, so that when the infrared light source emits near-infrared light, the infrared light passes through the lens array 141 to reach a part to be recognized, after the infrared light is emitted to the part to be recognized, the infrared light passes through the skin, and the vein reflects the infrared light, thereby forming a vein pattern image, the vein image generation module receives infrared light waves reflected by the vein, generates a vein image based on the reflected infrared light waves, the vein image generation module sends the generated vein image to the processor 121 for processing, the processor 121 processes the received vein image, determines a vein region of the part to be recognized, and then moves the lens in the lens array 141, so that the focus of the lens is located in the vein area, a complete vein image of the part to be identified is acquired, vein identification is carried out based on the complete vein image, and the accuracy of vein identification is improved.

Referring to fig. 1B, in fig. 1B, a vein identification method provided in an embodiment of the present application is applied to an electronic device, where the electronic device includes a vein identification module, the vein identification module is provided with a lens array, a vein imaging module, and an infrared light source, and the method includes:

101: the electronic device acquires a first vein image through the vein imaging module.

When vein recognition is triggered, the electronic equipment emits infrared light to a part to be recognized through an infrared light source in the vein recognition module, the infrared light irradiates the part to be recognized through the lens array, the vein of the part to be recognized reflects the infrared light, the vein imaging module in the vein recognition module receives infrared light waves reflected by the vein in the part to be recognized, and the reflected infrared light waves are used for generating a first vein image.

The part to be identified may be a wrist, a palm, a finger, a back of the hand, etc., or may be other parts of the body.

102: the electronic equipment determines a vein area of a part to be identified according to the first vein image.

Optionally, in the acquisition, in addition to the image corresponding to the vein region, image information of other parts may be acquired in the vein image, so that the implementation process of the electronic device determining the vein region of the part to be identified according to the first vein image may be as follows: the electronic equipment extracts a target area containing vein grains in the first vein image; determining a vein boundary of the part to be identified according to the target area, wherein the vein boundary comprises a length boundary and a width boundary on the part to be identified, and determining the vein area of the part to be identified according to the length boundary and the width boundary.

103: the electronic device moves the lens array such that the focal points of the lenses in the lens array fall on the vein region.

Optionally, the electronic device may move the lens array so that the focal points of the lenses in the lens array fall in the vein region: the electronic equipment performs feature matching on the first vein image, and determines a body part corresponding to the first vein image and an age group of a target object, wherein the target object is a user who performs vein identification; determining a target distance corresponding to the lens array according to a preset mapping relation among age groups, body parts and the target distance; determining a distance between the lens array and the vein region from the first vein image; determining a distance to be moved according to the distance and the target distance; moving the lenses in the lens array according to the distance to be moved so that the focal points of the lenses in the lens array fall on the vein area.

Wherein the target distance is a target distance of the lens relative to the vein region.

For example, as shown in table 1, since the physiological characteristics of persons of different ages are not the same, the positions of the vein regions are different in the same body part, and different target distances are set for persons of different ages. For example, for a person of 20-30 years old, the target distance for a finger is 0.5cm, and for a person of 40-50 years old, the target distance for a finger is 0.3 cm; in addition, since the position of the vein region differs for different body parts of persons of the same age, different target distances are set for different body parts. For example, for a person 20-30 years old, the target distance for the fingers may be 0.5cm and the target distance for the back of the hand may be 0.6 cm.

TABLE 1

In some possible embodiments, since the blood vessel thickness is different and the blood flow speed is different for different body parts, and also for different age groups, the blood vessel thickness is different and the blood flow speed is different, since the vein imaging is related to the blood vessel thickness and the blood flow speed, the vein image reflects the age group of the target object and the body part corresponding to the part to be identified to some extent, so that the first vein image is feature-matched, and the determination of the body part corresponding to the first vein image and the age group of the target object may be implemented by: extracting vein lines in the first vein image; the method comprises the steps of obtaining the characteristics of the vein lines (such as the thickness of the lines, the density of the lines and the like), determining the age group and the body part matched with the characteristics of the vein lines, and taking the age group and the body part matched with the characteristics of the vein lines as the age group and the body part matched with the first vein image.

In some possible embodiments, the determining the distance between the lens array and the vein region according to the first vein image may be: determining an image area corresponding to a vein region in the first vein image; acquiring target areas corresponding to the body parts and the age groups; determining a ratio of the image area to the target area; and obtaining the distance between the lens array and the vein region according to a focal length formula and the ratio.

Since the vein area corresponding to each human body part is fixed, that is, the vein area is fixed, but with the change of age, the area of the vein image of the same body part changes, for example, with the increase of age, the finger shrinks, and the corresponding vein area (target area) decreases, the mapping relationship among the body part, the age group, and the target area can be preset, and the target area corresponding to the part to be identified can be obtained through the mapping relationship; in addition, the ratio of the image distance to the object distance is determined according to the lens imaging formula, and then the image distance and the object distance are obtained according to the focal length calculation formula and the ratio, namely the distance (object distance) from the lens array to the vein area is obtained.

Wherein, the lens imaging formula: a' B ═ AB × v/u;

a 'B' is the imaging size, i.e., the image area, AB is the object area, i.e., the target area, v is the image distance, and u is the object distance.

Wherein, the focal length calculation formula is as follows: 1/f is 1/v + 1/u;

where f is the focal length of the lens, v is the image distance, and u is the object distance.

In some possible embodiments, the moving the lens array to make the focal point of the lens in the lens array fall on the vein region may be: performing feature matching on the first vein image, and determining a body part corresponding to the first vein image and the age group of a target object; obtaining each sub-vein area of the body part which is divided in advance; determining a target distance corresponding to each sub-vein region of the body part according to a preset mapping relation among the age bracket, the body part, the sub-vein region and the target distance; determining the distance between a lens corresponding to each sub-vein region in the lens array and each sub-vein region according to the first vein image; determining the distance to be moved corresponding to each sub-vein region according to the distance to each sub-vein region and the target distance corresponding to each sub-region; and moving the lens corresponding to each sub-vein area according to the distance to be moved so that the focus of the lens corresponding to each sub-vein area is positioned in each sub-vein area.

And determining that the distance between the lens corresponding to each sub-vein region in the lens array and each sub-vein region is consistent with the process of determining the distance between the lens array and the vein region according to the first vein image, wherein only each sub-vein region is taken as a vein region, and the lens corresponding to each sub-vein region is taken as a lens array, which is not described again.

For example, the finger is divided into a phalanx-to-fingertip region w1, a knuckle-to-phalanx region w2, a metacarpal-to-phalanx region w3, and so on, and since the degree of concavity and convexity of each sub-vein region is different, the target distance between each sub-vein region and the lens is different, as shown in table 2, the target distances of the sub-vein regions w1, w2, and w3 are respectively: d1, d2 and d3, the distance to be moved of each sub-vein region is determined based on the target distance of each sub-vein region, and then the lens corresponding to each sub-vein region is moved in regions, so that the focus of the lens corresponding to each sub-vein region is located in the vein region of each sub-vein region.

TABLE 2

In some possible embodiments, the implementation process of moving the lenses in the lens array according to the distance to be moved may be: determining a scene to be recognized corresponding to the part to be recognized; acquiring preset identification precision corresponding to the scene to be identified; determining a lens to be moved in the lens array according to the preset identification precision; acquiring a preset identification time length; determining the moving speed of the lens to be moved according to the identification duration and the distance to be moved; and moving the lens to be moved according to the moving speed.

In particular, different recognition accuracy requirements may be set for different recognition scenarios, the number and type of lenses to be moved in the lens array may be determined according to a preset recognition accuracy, for example, for a payment scenario, the recognition accuracy requirements are: the matching degree of the vein image and the vein template is more than 80%, and for unlocking the recognition scene, the recognition precision requirement is as follows: the matching degree of the vein image and the vein template is more than 60 percent, and the like; further, the number of the lenses to be moved is set to be different for different recognition accuracies, for example, when the recognition accuracy is more than 50%, it may be provided to move only a part of the lenses in the lens array, such as only the lenses in the central part of the lens array, therefore, the information of partial vein images collected by the lens at the central part of the lens array is rich, so that the collected vein images contain the vein information of the vein area corresponding to the lens at the central part, the successful matching of the vein image can be ensured, the identification precision is ensured to be more than 50%, and for example, when the identification precision is more than 80%, it may be arranged to move all of the lenses in the lens array, ensuring that the focus of each lens falls on the vein region, therefore, the vein image is collected to contain the vein information of the whole vein area, the vein image is ensured to carry complete vein information, and the identification precision is ensured to reach 80%.

The recognition precision and the recognition duration can be set by a user in a self-defined mode or can be set by the system independently.

It can be understood that, when the vein region is divided into a plurality of sub-vein regions, after the lens to be moved is determined, the sub-vein region corresponding to each lens to be moved is determined, the distance to be moved corresponding to the sub-vein region is acquired, the moving speed of the lens corresponding to each sub-vein region is determined according to the distance to be moved and the identification time length of the sub-vein region, then, the lens corresponding to the sub-vein region is moved according to the moving speed of the lens corresponding to the sub-vein region, and the lens is stopped moving after the lens is moved by the distance to be moved.

104: the electronic device acquires the vein image again to obtain a second vein image.

The process of obtaining the second vein image is consistent with the process of obtaining the first vein image, and is not repeated.

105: and the electronic equipment performs vein recognition on the part to be recognized according to the second vein image.

Optionally, the identification process of the electronic device performing vein identification on the to-be-identified portion according to the second vein image may be: determining a body part corresponding to the part to be identified according to the second vein image; obtaining a vein template corresponding to the body part from a template library; and matching the second vein image with the vein template to obtain a matching value, and determining that the vein identification is successful if the matching value is greater than a threshold value.

Optionally, the matching the second vein image with the vein template to obtain a matching value may be implemented by: analyzing the feature point distribution of the second vein image; performing circular image interception on the second vein image according to M different circle centers to obtain M circular vein area images, wherein M is an integer larger than 3; selecting a target circular vein region image from the M circular vein region images, wherein the number of characteristic points contained in the target circular vein region image is larger than that of other circular vein region images in the M circular vein region images; dividing the target circular vein area image to obtain N circular rings, wherein the widths of the N circular rings are the same; and starting from the ring with the smallest radius in the N rings, sequentially matching the N rings with the vein template for feature points, accumulating the matching values of the matched rings to obtain the matching value, immediately stopping feature point matching when the accumulated matching value is greater than the threshold value, and outputting a prompt message of successful vein identification.

Optionally, after determining that the vein recognition is successful, an unlocking operation may be performed, for example, entering a main page, or entering a specific page, which may be set by the user or default by the system.

It can be seen that, in the embodiment of the present application, a first vein image of a to-be-identified portion is first acquired by an imaging module in a vein identification module, a vein region of the to-be-identified portion is determined based on the first vein image, then, a lens array in an electronic device is moved, a focus of a lens in the lens array is located in the vein region, and finally, a second vein image of the to-be-identified portion is acquired again by the moved lens array, and vein authentication is performed using the second vein image, because when the second vein image is generated, the focus of the lens is located in the vein region, the second vein image carries abundant vein information, and the accuracy of vein identification is improved; in addition, aiming at different body parts, due to the fact that the lens array is moved, a user does not need to actively adjust the posture of the part to be recognized, and a complete vein image can be acquired, so that the recognition process is simplified, and the user experience is improved.

In some possible embodiments, the vein identification module is provided with at least one infrared light source, the at least one infrared light source is arranged opposite to the lens array, and the at least one infrared light source is used for illuminating the part to be identified; the method further comprises, after moving the lens array: acquiring the image brightness of the first vein image; and if the image brightness is smaller than the first threshold value, adjusting the infrared light brightness irradiated by the infrared light source.

The brightness of the infrared light irradiated by the infrared light source is adjusted to be as follows: and adjusting the brightness of the infrared light irradiated by the infrared light source according to a preset adjusting amplitude, for example, increasing the driving voltage of the infrared light source by 0.5V, 0.7V, 1V or other values.

It can be seen that, in the embodiment, after the lens is moved, the brightness of the infrared light source is adjusted, so that the infrared light reaching the vein area is clearer, a second vein image with higher quality can be acquired, and the vein identification precision is improved.

In some possible embodiments, before performing vein recognition on the site to be recognized according to the second vein image, the method further includes: acquiring medical information of a target object; adjusting a vein recognition threshold value according to the medical information to obtain a target vein recognition threshold value; and performing vein recognition on the part to be recognized according to the target vein recognition threshold value and the second vein image.

The target object refers to a user who performs vein recognition, and the medical information may include at least one of the following: age, gender, occupation, disease type, length of disease, physiological parameters, which may include at least one of: blood pressure, body temperature, blood glucose, heart beat, etc., without limitation.

The medical information of the target object can be acquired by inputting the medical information of the target object in advance in the electronic device, or the electronic medical record of the target object, which is input in other network platforms, can be read, the latest medical information of the target object can be recorded in the electronic medical record, and the like, and the application is not limited uniquely.

It can be seen that, in the present embodiment, considering that the target object has an influence on the reflection of the infrared light in different physiological states, the vein recognition threshold may be adjusted according to the medical information, so that the adjusted target vein recognition threshold may be matched with the current physiological state of the target object, and further, the accuracy of vein recognition may be improved in the process of vein recognition.

Referring to fig. 2, fig. 2 is another vein identification method provided in an embodiment of the present application, where the method is applied to an electronic device, the electronic device includes a vein identification module, the vein identification module is provided with a lens array, a vein imaging module, and an infrared light source, and the method includes:

201: the electronic device acquires a first vein image through the vein imaging module.

202: the electronic equipment determines a vein area of a part to be identified according to the first vein image.

203: the electronic device moves the lens array such that the focal points of the lenses in the lens array fall on the vein region.

204: the electronic device obtains an image brightness of the first vein image.

205: and if the image brightness is smaller than the first threshold value, the electronic equipment adjusts the infrared light brightness irradiated by the infrared light source.

206: the electronic device acquires the vein image again to obtain a second vein image.

207: and the electronic equipment performs vein recognition on the part to be recognized according to the second vein image.

It can be seen that, in the embodiment of the present application, a first vein image of a to-be-identified portion is first acquired by an imaging module in a vein identification module, a vein region of the to-be-identified portion is determined based on the first vein image, then, a lens array in an electronic device is moved, a focus of a lens in the lens array is located in the vein region, and finally, a second vein image of the to-be-identified portion is acquired again by the moved lens array, and vein authentication is performed using the second vein image, because when the second vein image is generated, the focus of the lens is located in the vein region, the second vein image carries abundant vein information, and the accuracy of vein identification is improved; in addition, aiming at different body parts, due to the fact that the lens array is moved, a complete vein image can be acquired without the need of actively adjusting the posture of the part to be recognized by a user, so that the recognition process is simplified, and the user experience is improved; and after the lens is moved, the brightness of the image is obtained, and the brightness of the infrared light source is adjusted, so that the collected vein image is clearer, and the vein identification precision is improved.

It should be noted that, for the specific implementation of the steps of the method shown in fig. 2, reference may be made to the specific implementation of the method described in fig. 1B, and a description thereof is omitted here.

Referring to fig. 3, fig. 3 is another vein identification method provided in an embodiment of the present application, where the method is applied to an electronic device, the electronic device includes a vein identification module, the vein identification module is provided with a lens array, a vein imaging module, and an infrared light source, and the method includes:

301: the electronic device acquires a first vein image through the vein imaging module.

302: the electronic equipment determines a vein area of a part to be identified according to the first vein image.

303: the electronic device moves the lens array such that the focal points of the lenses in the lens array fall on the vein region.

304: the electronic device acquires the vein image again to obtain a second vein image.

305: the electronic device acquires medical information of a target object.

306: and the electronic equipment adjusts the vein recognition threshold according to the medical information to obtain the target vein recognition threshold.

307: and the electronic equipment performs vein recognition on the part to be recognized according to the target vein recognition threshold and the second vein image.

It can be seen that, in the embodiment of the present application, a first vein image of a to-be-identified portion is first acquired by an imaging module in a vein identification module, a vein region of the to-be-identified portion is determined based on the first vein image, then, a lens array in an electronic device is moved, a focus of a lens in the lens array is located in the vein region, and finally, a second vein image of the to-be-identified portion is acquired again by the moved lens array, and vein authentication is performed using the second vein image, because when the second vein image is generated, the focus of the lens is located in the vein region, the second vein image carries abundant vein information, and the accuracy of vein identification is improved; in addition, aiming at different body parts, due to the fact that the lens array is moved, a complete vein image can be acquired without the need of actively adjusting the posture of the part to be recognized by a user, so that the recognition process is simplified, and the user experience is improved; moreover, the vein recognition threshold value is dynamically adjusted through the medical information, so that the vein recognition is more targeted, and the vein recognition precision is improved.

It should be noted that, for the specific implementation of the steps of the method shown in fig. 3, reference may be made to the specific implementation of the method described in fig. 1B, and a description thereof is omitted here.

Consistent with the embodiments shown in fig. 1B, fig. 2, and fig. 3, please refer to fig. 4, fig. 4 is a schematic structural diagram of a vein recognition electronic device 400 according to an embodiment of the present application, and as shown in fig. 4, the vein recognition electronic device 400 includes a vein recognition module, the vein recognition module is provided with a lens array and a vein imaging module, and further includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are different from the one or more application programs, and the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the following steps:

acquiring, by the vein imaging module, a first vein image;

obtaining the vein image again to obtain a second vein image;

In some possible embodiments, the above procedure is particularly directed to instructions for performing the following steps in moving the lens array such that the focal points of the lenses in the lens array fall on the vein region:

performing feature matching on the first vein image, and determining a body part corresponding to the first vein image and the age group of a target object;

determining a target distance corresponding to the lens array according to a preset mapping relation among age groups, body parts and the target distance;

determining a distance between the lens array and the vein region from the first vein image;

determining a distance to be moved according to the distance and the target distance;

moving the lenses in the lens array according to the distance to be moved so that the focal points of the lenses in the lens array fall on the vein area.

obtaining each sub-vein area of the body part which is divided in advance;

determining a target distance corresponding to each sub-vein region of the body part according to a preset mapping relation among the age bracket, the body part, the sub-vein region and the target distance;

determining the distance between a lens corresponding to each sub-vein region in the lens array and each sub-vein region according to the first vein image;

determining the distance to be moved corresponding to each sub-vein region according to the distance to each sub-vein region and the target distance corresponding to each sub-region;

and moving the lens corresponding to each sub-vein area according to the distance to be moved so that the focus of the lens corresponding to each sub-vein area is positioned in each sub-vein area.

In some possible embodiments, the above procedure is particularly directed to instructions for performing the following steps in terms of determining the distance between the lens array and the vein region from the first vein image:

determining an image area corresponding to a vein region in the first vein image;

acquiring target areas corresponding to the body parts and the age groups;

determining a ratio of the image area to the target area;

and obtaining the distance between the lens array and the vein region according to a focal length formula and the ratio.

In some possible embodiments, the above program is particularly adapted to execute the following steps in terms of moving a lens in the lens array according to the distance to be moved:

determining a scene to be recognized corresponding to the part to be recognized;

acquiring preset identification precision corresponding to the scene to be identified;

determining a lens to be moved in the lens array according to the preset identification precision;

acquiring a preset identification time length;

determining the moving speed of the lens to be moved according to the identification duration and the distance to be moved;

and moving the lens to be moved according to the moving speed.

In some possible embodiments, the vein identification module is provided with at least one infrared light source arranged opposite to the lens array, the at least one infrared light source being configured to illuminate the site to be identified, the program further being configured to execute the following steps after moving the lens array:

acquiring the image brightness of the first vein image;

and if the image brightness is smaller than the first threshold value, adjusting the infrared light brightness irradiated by the infrared light source.

In some possible embodiments, the above procedure is particularly adapted to perform the following steps in terms of identifying the portion to be identified from the second vein image:

determining a body part corresponding to the part to be identified according to the second vein image;

obtaining a vein template corresponding to the body part from a template library;

and matching the second vein image with the vein template to obtain a matching value, and determining that the vein identification is successful if the matching value is greater than a threshold value.

Referring to fig. 5, fig. 5 shows a block diagram of a possible functional unit composition of an electronic device 500 for vein recognition according to the above embodiment, the electronic device includes a vein recognition module, the vein recognition module is provided with a lens array and a vein imaging module, and the electronic device 500 includes: an obtaining unit 510, a determining unit 520, a moving unit 530, and an identifying unit 540, wherein:

an obtaining unit 510 for obtaining a first vein image by the vein imaging module;

a determining unit 520, configured to determine a vein region of a to-be-identified portion according to the first vein image;

a moving unit 530 for moving the lens array so that the focal points of the lenses in the lens array fall on the vein region;

the obtaining unit 510 further obtains the vein image again to obtain a second vein image;

and an identifying unit 540, configured to perform vein identification on the to-be-identified portion according to the second vein image.

In some possible embodiments, in moving the lens array so that the focal points of the lenses in the lens array fall on the vein region, the moving unit 530 is specifically configured to: performing feature matching on the first vein image, and determining a body part corresponding to the first vein image and the age group of a target object; determining a target distance corresponding to the lens array according to a preset mapping relation among age groups, body parts and the target distance; determining a distance between the lens array and the vein region from the first vein image; determining a distance to be moved according to the distance and the target distance; moving the lenses in the lens array according to the distance to be moved so that the focal points of the lenses in the lens array fall on the vein area.

In some possible embodiments, in moving the lens array so that the focal points of the lenses in the lens array fall on the vein region, the moving unit 530 is specifically configured to: performing feature matching on the first vein image, and determining a body part corresponding to the first vein image and the age group of a target object; obtaining each sub-vein area of the body part which is divided in advance; determining a target distance corresponding to each sub-vein region of the body part according to a preset mapping relation among the age bracket, the body part, the sub-vein region and the target distance; determining the distance between a lens corresponding to each sub-vein region in the lens array and each sub-vein region according to the first vein image; determining the distance to be moved corresponding to each sub-vein region according to the distance to each sub-vein region and the target distance corresponding to each sub-region; and moving the lens corresponding to each sub-vein area according to the distance to be moved so that the focus of the lens corresponding to each sub-vein area is positioned in each sub-vein area.

In some possible embodiments, in determining the distance between the lens array and the vein region from the first vein image, the moving unit 530 is specifically configured to: determining an image area corresponding to a vein region in the first vein image; acquiring target areas corresponding to the body parts and the age groups; determining a ratio of the image area to the target area; and obtaining the distance between the lens array and the vein region according to a focal length formula and the ratio.

In some possible embodiments, in terms of moving the lenses in the lens array according to the distance to be moved, the moving unit 530 is specifically configured to: determining a scene to be recognized corresponding to the part to be recognized; acquiring preset identification precision corresponding to the scene to be identified; determining a lens to be moved in the lens array according to the preset identification precision; acquiring a preset identification time length; determining the moving speed of the lens to be moved according to the identification duration and the distance to be moved; and moving the lens to be moved according to the moving speed.

In some possible embodiments, the electronic device 500 further comprises an adjusting unit 550, the vein identification module is provided with at least one infrared light source arranged opposite to the lens array, the at least one infrared light source is configured to illuminate the site to be identified, and after moving the lens array, the adjusting unit 550 is further configured to: acquiring the image brightness of the first vein image; and if the image brightness is smaller than the first threshold value, adjusting the infrared light brightness irradiated by the infrared light source.

In some possible embodiments, in identifying the portion to be identified according to the second vein image, the identifying unit 540 is specifically configured to: determining a body part corresponding to the part to be identified according to the second vein image; obtaining a vein template corresponding to the body part from a template library; and matching the second vein image with the vein template to obtain a matching value, and determining that the vein identification is successful if the matching value is greater than a threshold value.

As shown in fig. 6, for convenience of description, only the portions related to the embodiments of the present application are shown, and details of the specific technology are not disclosed, please refer to the method portion of the embodiments of the present application. The electronic device may be any terminal device including a mobile phone, a tablet computer, a PDA (personal digital assistant), a POS (point of sales), a vehicle-mounted computer, etc., taking the electronic device as the mobile phone as an example:

fig. 6 is a block diagram illustrating a partial structure of a mobile phone related to an electronic device provided in an embodiment of the present application. Referring to fig. 6, the handset includes: radio Frequency (RF) circuit 910, memory 920, input unit 930, display unit 940, sensor 950, audio circuit 960, Wireless Fidelity (Wi-Fi) module 970, processor 980, and power supply 990. Those skilled in the art will appreciate that the handset configuration shown in fig. 6 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile phone in detail with reference to fig. 6:

RF circuitry 910 may be used for the reception and transmission of information. In general, the RF circuit 910 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuit 910 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

The memory 920 may be used to store software programs and modules, and the processor 980 may execute various functional applications and data processing of the mobile phone by operating the software programs and modules stored in the memory 920. The memory 920 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile phone, and the like. Further, the memory 920 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 930 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 930 may include a fingerprint recognition module 931 and other input devices 932. Fingerprint identification module 931, can gather the fingerprint data of user above it. The input unit 930 may include other input devices 932 in addition to the fingerprint recognition module 931. In particular, other input devices 932 may include, but are not limited to, one or more of a touch screen, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 940 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The Display unit 940 may include a Display screen 941, and optionally, the Display screen 941 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The handset may also include at least one sensor 950, such as a light sensor, motion sensor, pressure sensor, temperature sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor (also referred to as a light sensor) that can adjust the backlight brightness of the mobile phone according to the brightness of ambient light, and thus adjust the brightness of the display screen 941, and a proximity sensor that can turn off the display screen 941 and/or the backlight when the mobile phone is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications (such as horizontal and vertical screen switching, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of a mobile phone; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

Audio circuitry 960, speaker 961, microphone 962 may provide an audio interface between a user and a cell phone. The audio circuit 960 may transmit the electrical signal converted from the received audio data to the speaker 961, and the audio signal is converted by the speaker 961 to be played; on the other hand, the microphone 962 converts the collected sound signal into an electrical signal, converts the electrical signal into audio data after being received by the audio circuit 960, and then processes the audio data by the audio data playing processor 980, and then sends the audio data to, for example, another mobile phone through the RF circuit 910, or plays the audio data to the memory 920 for further processing.

Wi-Fi belongs to short-distance wireless transmission technology, and a mobile phone can help a user to receive and send e-mails, browse webpages, access streaming media and the like through a Wi-Fi module 970, and provides wireless broadband internet access for the user. Although fig. 6 shows the Wi-Fi module 970, it is understood that it does not belong to the essential constitution of the cellular phone and can be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 980 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 920 and calling data stored in the memory 920, thereby integrally monitoring the mobile phone. Alternatively, processor 980 may include one or more processing units; preferably, the processor 980 may integrate an application processor AP, which mainly handles operating systems, user interfaces, applications, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 980.

The handset also includes a power supply 990 (e.g., a battery) for supplying power to the various components, which may preferably be logically connected to the processor 980 via a power management system, thereby providing management of charging, discharging, and power consumption via the power management system.

The mobile phone may further include a camera 9100, and the camera 9100 is used for shooting images and videos and transmitting the shot images and videos to the processor 980 for processing.

The mobile phone may further include a bluetooth module, etc., which will not be described herein.

Embodiments of the present application also provide a computer storage medium, which stores a computer program, where the computer program is executed by a processor to implement part or all of the steps of any one of the vein identification methods as described in the above method embodiments.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the vein identification methods as recited in the above method embodiments.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.

The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A vein identification method applied to an electronic device including a vein identification module provided with a lens array and a vein imaging module, the method comprising:

acquiring, by the vein imaging module, a first vein image;

obtaining the vein image again to obtain a second vein image;

performing vein recognition on the part to be recognized according to the second vein image;

wherein the moving the lens array such that the focal points of the lenses in the lens array fall on the vein region comprises: performing feature matching on the first vein image, and determining a body part corresponding to the first vein image and the age group of a target object; obtaining each sub-vein area of the body part which is divided in advance; determining a target distance corresponding to each sub-vein region of the body part according to a preset mapping relation among the age bracket, the body part, the sub-vein region and the target distance; determining the distance between a lens corresponding to each sub-vein region in the lens array and each sub-vein region according to the first vein image; determining the distance to be moved corresponding to each sub-vein region according to the distance to each sub-vein region and the target distance corresponding to each sub-region; and moving the lens corresponding to each sub-vein area according to the distance to be moved so that the focus of the lens corresponding to each sub-vein area is positioned in each sub-vein area.

2. The method of claim 1, wherein the moving the lens array such that the focal points of the lenses in the lens array fall on the vein region further comprises:

3. The method of claim 2, wherein determining the distance between the lens array and the vein region from the first vein image comprises:

acquiring target areas corresponding to the body parts and the age groups;

determining a ratio of the image area to the target area;

4. The method of claim 2, wherein moving the lenses in the lens array according to the distance to be moved comprises:

acquiring a preset identification time length;

and moving the lens to be moved according to the moving speed.

5. The method of claim 3, wherein moving the lenses in the lens array according to the distance to be moved comprises:

acquiring a preset identification time length;

and moving the lens to be moved according to the moving speed.

6. The method according to any one of claims 1 to 5, wherein the vein identification module is provided with at least one infrared light source arranged opposite the lens array, the at least one infrared light source being adapted to illuminate the site to be identified; the method further comprises, after moving the lens array:

acquiring the image brightness of the first vein image;

7. The method according to any one of claims 1-5, wherein the identifying the portion to be identified according to the second vein image comprises:

8. An electronic device for vein recognition, the electronic device comprising a vein recognition module, the vein recognition module being provided with a lens array and a vein imaging module, the electronic device comprising:

the recognition unit is used for carrying out vein recognition on the part to be recognized according to the second vein image;

9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method according to any one of claims 1-7.