CN110941985A - Mobile terminal, fingerprint verification method and system thereof - Google Patents

Mobile terminal, fingerprint verification method and system thereof Download PDF

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Publication number
CN110941985A
CN110941985A CN201910944653.8A CN201910944653A CN110941985A CN 110941985 A CN110941985 A CN 110941985A CN 201910944653 A CN201910944653 A CN 201910944653A CN 110941985 A CN110941985 A CN 110941985A
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China
Prior art keywords
fingerprint
model
angle
verification
mobile terminal
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CN201910944653.8A
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Chinese (zh)
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梁玮
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Zhuhai Zero Boundary Integrated Circuit Co Ltd
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Zhuhai Zero Boundary Integrated Circuit Co Ltd
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Priority to CN201910944653.8A priority Critical patent/CN110941985A/en
Publication of CN110941985A publication Critical patent/CN110941985A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction

Abstract

The invention relates to a mobile terminal, a fingerprint verification method and a fingerprint verification system thereof, wherein the verification method comprises the following steps: acquiring fingerprint images of a finger at a plurality of angles, which are acquired by an image acquisition piece of a mobile terminal; establishing a 3D model of the fingerprint according to a plurality of fingerprint images; and comparing the established 3D model of the fingerprint with a pre-stored 3D model of the fingerprint, if the difference between the two models is within a preset allowable error range, the verification is successful, and otherwise, the verification fails. The 3D imaging identification technology of the image acquisition part is utilized in the verification process, image acquisition is carried out through the inherent part image acquisition part of the mobile terminal, an independent fingerprint identification device is avoided being arranged, the production cost is reduced, occupation of space in the mobile terminal due to fingerprint verification is avoided, influence on installation and use of other parts is avoided, the utilization rate of the inner space of the mobile terminal is improved, and meanwhile, the stability and the safety of terminal operation are improved.

Description

Mobile terminal, fingerprint verification method and system thereof
Technical Field
The invention relates to the technical field of mobile terminals, in particular to a mobile terminal, and a fingerprint verification method and a fingerprint verification system thereof.
Background
With the development of science and technology, the living standard of people is improved, and mobile terminals such as mobile phones and tablet computers have more and more functions, such as social contact, games, payment and riding. The functions bring convenience to users, and meanwhile, a lot of hidden dangers of privacy disclosure exist. At present, the privacy of all aspects of a user is almost stored in a mobile terminal, and once the privacy is revealed, the result is unimaginable; in view of the need for privacy protection, various authentication methods, such as password authentication, sliding authentication, graphic authentication, fingerprint authentication, etc., are arranged in current mobile terminals. Fingerprint verification convenient and fast, the response is rapid, but need set up solitary fingerprint identification device in mobile terminal for the manufacturing cost of terminal increases, has taken originally just limited installation space in the terminal moreover, has influenced the installation and the use of other parts, makes the stability and the security of the operation of terminal suffer destruction.
Therefore, it is desirable to provide a mobile terminal, fingerprint verification method and system thereof to solve the disadvantages of the prior art.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a mobile terminal, a fingerprint verification method and a fingerprint verification system thereof.
A fingerprint authentication method of a mobile terminal, the authentication method comprising the steps of:
acquiring fingerprint images of a finger at a plurality of angles, which are acquired by an image acquisition piece of a mobile terminal;
establishing a 3D model of the fingerprint according to a plurality of fingerprint images;
and comparing the established 3D model of the fingerprint with a pre-stored 3D model of the fingerprint, if the difference between the two models is within a preset allowable error range, the verification is successful, and otherwise, the verification fails.
Further, before acquiring the fingerprint images of the finger at the plurality of angles acquired by the image acquisition part of the mobile terminal, the method further comprises:
acquiring the distance between a finger and the mobile terminal;
and judging whether the distance is within the effective distance range for acquiring the fingerprint image, and if so, generating and executing an instruction for starting the image acquisition piece.
Further, before acquiring the fingerprint images of the finger at the plurality of angles acquired by the image acquisition part of the mobile terminal, the method further comprises:
after the operation corresponding to a certain instruction is obtained, starting a verification method;
after the verification is successful, the method further comprises the following steps: and executing the instruction corresponding to the operation.
Further, the acquiring fingerprint images of a plurality of angles of the finger collected by the image collecting part of the mobile terminal includes:
acquiring a fingerprint image of a finger at a first angle;
determining the angle between the finger and the mobile terminal according to the fingerprint image;
generating a guiding instruction according to the angle and a preset image acquisition strategy;
and executing the instruction.
Further, the comparing the 3D model of the created fingerprint with the 3D model of the pre-stored fingerprint includes:
respectively extracting the model characteristics of the 3D model of the pre-stored fingerprint and the model characteristics of the established 3D model of the fingerprint, comparing the coincidence proportion of the model characteristics of the pre-stored fingerprint and the established 3D model of the fingerprint, and if the coincidence proportion exceeds a preset proportion, determining that the difference between the model characteristics of the pre-stored fingerprint and the established 3D model of the fingerprint is within a preset allowable error range.
Further, the comparing the established 3D model of the fingerprint with the pre-stored 3D model of the fingerprint, if the difference between the two is within a preset allowable error range, the verification is successful, otherwise, the verification failure includes:
and respectively comparing the established 3D model of the fingerprint with the pre-stored 3D models of the fingerprints, if the difference between any one of the pre-stored 3D models of the fingerprints and the established 3D model of the fingerprint is within a preset allowable error range, the verification is successful, otherwise, the verification fails.
Further, the 3D model of the pre-stored fingerprint is pre-stored by the following steps:
after the identity of the user is verified, generating and executing an instruction for starting an image acquisition piece;
sequentially acquiring fingerprint images of a finger at a plurality of angles, establishing and storing a 3D model of the fingerprint of the finger according to the fingerprint images, and operating once or repeatedly operating for a plurality of times until all the 3D models of the finger needing to be pre-stored are established and stored.
Further, the sequentially acquiring fingerprint images of a finger at a plurality of angles and generating a 3D model of the fingerprint corresponding to the finger according to the acquired fingerprint images of the finger includes:
acquiring and storing a fingerprint image of a finger at a first angle;
determining the angle between the finger and the mobile terminal according to the fingerprint image of the first angle;
generating a guiding instruction according to the angle and a preset image acquisition strategy;
and executing the instruction.
Further, the executing the guidance instruction comprises:
the method comprises the steps that after a signal for guiding a finger to change an angle is sent, a new angle between the finger and the mobile terminal is obtained from time to time, and when the angle consistent with the angle required by the signal is obtained, a fingerprint image at the angle is obtained; and repeating the steps until the required fingerprint images of all angles are obtained.
Further, the required fingerprint images of all angles comprise:
the image acquisition device comprises a first angle opposite to the image acquisition part, a second angle which rotates 10 degrees relative to the first angle in the first direction, a third angle which rotates 10 degrees relative to the first angle in the second direction, a fourth angle which rotates 30 degrees relative to the first angle in the third direction and a fifth angle which rotates 30 degrees relative to the first angle in the fourth direction.
Based on the same inventive concept, the invention also provides a fingerprint verification system of the mobile terminal, which comprises:
an acquisition module for acquiring fingerprint images of a finger at a plurality of angles;
a modeling module for building a 3D model of a fingerprint from a plurality of said fingerprint images;
and the comparison module is used for comparing the established 3D model of the fingerprint with a pre-stored 3D model of the fingerprint, if the difference between the two models is within a preset allowable error range, the verification is successful, and otherwise, the verification fails.
Based on the same inventive concept, the invention also provides a mobile terminal, which comprises the fingerprint verification system of the mobile terminal.
Compared with the closest prior art, the technical scheme of the invention has the following advantages:
the fingerprint verification method of the mobile terminal provided by the technical scheme of the invention collects fingerprint images of a plurality of angles of a finger through an inherent component image collecting piece (such as a camera) of the mobile terminal, then a verification system in the mobile terminal obtains the fingerprint images of the plurality of angles and establishes a 3D model of the fingerprint according to the fingerprint images, finally, whether the verification is successful is determined by comparing the newly established 3D model and the 3D model prestored in the mobile terminal according to the consistency degree of the two, the 3D model is established through the fingerprint images of the plurality of angles in the whole process for verification, compared with the prior method for verifying only one fingerprint image, the method has the advantages of higher verification accuracy, higher verification efficiency and greatly reduced verification error rate, and utilizes the 3D imaging identification technology of the image collecting piece in the verification process to collect the image through the inherent component image collecting piece of the mobile terminal, the fingerprint identification device has the advantages that the arrangement of an independent fingerprint identification device is avoided, the production cost is reduced, the occupation of the space in the mobile terminal due to fingerprint verification is avoided, the influence on the installation and the use of other parts is avoided, the utilization rate of the internal space of the mobile terminal is improved, and the stability and the safety of the operation of the terminal are improved.
Drawings
FIG. 1 is a flow chart of a verification method provided by a first embodiment of the invention;
FIG. 2 is a flow chart of a verification method provided by a second embodiment of the present invention;
FIG. 3 is a flow chart of a verification method provided by a third embodiment of the invention;
FIG. 4 is a detailed flowchart of step S11 in FIG. 1, FIG. 2 or FIG. 3;
FIG. 5 is a flow chart of a 3D model of a pre-stored fingerprint provided by the present invention;
FIG. 6 is a detailed flow chart of a 3D model of a pre-stored fingerprint provided by the present invention;
fig. 7 is a flow chart illustrating the judgment of the 3D model of the pre-stored fingerprint according to the present invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, 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 only partial embodiments of the present application, but not all embodiments. 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.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "inner", "middle", "outer", "front", "rear", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "disposed," "connected," and "secured" are to be construed broadly. For example, "connected" may be a fixed connection, a detachable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail with reference to the accompanying examples and figures 1-3.
As shown in fig. 1, the present invention provides a fingerprint authentication method of a mobile terminal, the authentication method comprising the steps of:
s11, acquiring fingerprint images of multiple angles of the finger acquired by an image acquisition piece of the mobile terminal, specifically, the fingerprint verification method runs depending on a fingerprint verification system stored in the mobile terminal, an acquisition module is arranged in the fingerprint verification system and is electrically connected with the image acquisition piece of the mobile terminal, the image acquisition piece scans the image in the acquisition range and sends the image to the real-time acquisition module at any time (or sending the image at intervals, but the interval time can not be too long, for example, the time interval can be selected between 0.15 and 0.4S), the acquisition module analyzes the image scanned by the image acquisition piece, the acquisition module acquires the fingerprint image and then stores the image, and continuously acquires and analyzes the image scanned by the image acquisition piece at any time, and when acquiring the fingerprint image of a new angle meeting the requirement, the image is stored again, the steps are circulated until all the required fingerprint images at a plurality of angles are obtained;
s12, establishing a 3D model of the fingerprint according to the plurality of fingerprint images, acquiring all the required fingerprint images by the acquisition module in the step S11, and sending the acquired fingerprint images to the modeling module after the acquisition module acquires all the required fingerprint images and sequentially performing impurity removal processing (removing environmental factors, light source factors and the like except the fingerprint in the images) and digitalization processing, wherein the modeling module establishes the 3D model of the fingerprint by using a 3D modeling technology;
and S13, comparing the 3D model of the established fingerprint with the 3D model of the pre-stored fingerprint, if the difference between the two models is within a preset allowable error range, the verification is successful, otherwise, the verification fails. The 3D model established in step S2 needs to be compared with a pre-stored 3D model, the pre-stored 3D model is stored in a storage module in the fingerprint verification system, the fingerprint verification system is further provided with a comparison module for comparing the two aforementioned 3D models in addition to the aforementioned acquisition module, modeling module and storage module, the comparison module acquires the newly established 3D model from the modeling module, and simultaneously acquires the pre-stored 3D model from the storage module, and then determines a verification result according to the comparison result and outputs the verification result.
The fingerprint images of a plurality of angles of a finger are collected through an inherent component image collecting piece (such as a camera) of the mobile terminal, then a verification system in the mobile terminal obtains the fingerprint images of the plurality of angles and establishes a 3D model of the fingerprint according to the fingerprint images, finally whether the verification is successful is determined through the consistency degree of the newly established 3D model and the 3D model prestored in the mobile terminal, the 3D model is established through the fingerprint images of the plurality of angles in the whole process for verification, compared with the existing method for verifying by only collecting one fingerprint image, the verification method has the advantages of higher verification accuracy, higher verification efficiency and greatly reduced verification error rate, and the image collection is carried out through the inherent component image collecting piece of the mobile terminal in the verification process, thereby avoiding the arrangement of an independent fingerprint identification device, reducing the production cost and avoiding the occupation of the space in the mobile terminal due to the fingerprint verification, the influence on the installation and the use of other parts is avoided, the utilization rate of the internal space of the terminal is improved, and the stability and the safety of the terminal operation are improved.
As shown in fig. 2, in some embodiments of the present invention, before acquiring the fingerprint images of the finger at multiple angles acquired by the image acquisition element of the mobile terminal, the method further includes:
s21, acquiring the distance between the finger and the mobile terminal, wherein the acquisition of the distance between the finger and the mobile terminal is realized by relying on the inherent components of the mobile terminal, such as a distance sensor, most of the current mobile terminals are provided with the distance sensor, the distance sensor is mostly utilized in functions of awakening a screen or preventing mistaken touch, and the like, and the distance sensor works in real time, when verification is needed, the finger is close to the mobile terminal, and then the approach of the distance can be naturally sensed;
s22: judging whether the distance is within an effective distance range for acquiring a fingerprint image, if so, generating and executing an instruction for starting an image acquisition part, sending the distance to a fingerprint verification system after a distance sensor senses the distance of a finger, wherein an independent distance monitoring module can be arranged in the fingerprint verification system, and when fingerprint verification is required (namely when a fingerprint verification method runs), the module acquires the distance between the finger and the mobile terminal at any time, when the finger is within the effective distance range, the distance monitoring module controls the image acquisition part of the mobile terminal to be started, and after the image acquisition part is started, the image acquisition part can enter the S1 to scan images within the acquisition range and subsequent steps thereof at any time, wherein the specific effective distance range can be set within a range of 8-13cm from the mobile terminal.
As shown in fig. 3, in some embodiments of the present invention, before acquiring the fingerprint images of the finger at multiple angles acquired by the image acquisition element of the mobile terminal, the method further includes:
and S31, after the operation corresponding to a certain instruction is obtained, starting the verification method, wherein the step is specifically set before the step S21, and is a step of starting the fingerprint verification method, that is, when a user starts a certain function of the mobile terminal, and when the function needs fingerprint verification, the verification method is started after the operation of starting the function by the user is obtained. For example, if the user needs to boot, the verification method starts to operate after clicking the boot key, and the aforementioned step S21 and the subsequent steps are performed; or the user needs to unlock the screen, and when the user applies an unlocking operation (which may be an operation on a physical key, a sliding operation on a touch screen, or a voice wake-up operation, etc.) to the mobile terminal, the verification method starts to run, and the aforementioned step S21 and the subsequent steps are performed; or when the user needs to pay, after the payment button on the mobile terminal is clicked, that is, after the payment function is initiated, the authentication method starts to operate, and the aforementioned step S21 and the subsequent steps are performed.
After the verification is successful, the method further comprises the following steps: and S32, executing the instruction corresponding to the operation. This step corresponds to step S31, step S31 is the operation of starting the verification method, and this step is specifically the operation step after the verification is passed, and it can be known from S31 that the user will automatically start the verification method when the user activates a certain function of the mobile terminal that requires fingerprint verification, so that when the verification is successful, the mobile terminal starts and operates the corresponding function to execute the corresponding instruction. For example, after the user clicks the power-on key and the verification is successful in the verification method, the mobile terminal is powered on; after the user applies the unlocking operation and the verification method is successfully verified, the mobile terminal is successfully unlocked and enters an interface after unlocking; after the user clicks the payment button on the mobile terminal and the verification is successful, the mobile terminal executes the payment instruction to pay the target payer.
As shown in fig. 4, in some embodiments of the present invention, the acquiring fingerprint images of a finger collected by an image collecting element of a mobile terminal at multiple angles may specifically include:
s111, acquiring a fingerprint image of a first angle of a finger, wherein the description of the step S11 mentions that the fingerprint image scanned by the image acquisition part acquired by the acquisition module is stored, the first acquired fingerprint image is the fingerprint image of the first angle, and the description of the step S11 also mentions that the fingerprint image of the new angle meeting the requirement is stored again after the fingerprint image of the new angle meeting the requirement is acquired, and the following steps are required for determining the fingerprint image of the new angle meeting the requirement;
s112, determining the angle between the finger and the mobile terminal according to the fingerprint image, and after the fingerprint image at the first angle is stored by the acquisition module, analyzing and processing the fingerprint image, wherein the required result is the angle between the finger and the mobile terminal, namely the angle between the finger and the image acquisition piece;
and S113, generating a guiding instruction according to the angle and a preset image acquisition strategy, wherein the more fingerprint images required by modeling, the higher the accuracy after modeling, and therefore, a user needs to refer to the setting to determine the number of the fingerprint images required by modeling and the angle requirement. After the angle of the first fingerprint image is obtained in step S112, a guidance policy is determined according to modeling requirements (the number of fingerprint images and the angle requirements required for modeling), the content of the guidance policy is to prompt the user to rotate or move the finger, and the acquisition module can successively acquire all fingerprint images required for modeling during the process of rotating or moving the finger according to the prompt;
and S114, executing the instruction, namely sending out a prompt signal according to the instruction strategy when the instruction is executed, wherein the specific prompt signal can be a voice prompt or a text prompt and the like.
In some embodiments of the present invention, the comparing the 3D model of the created fingerprint with the 3D model of the pre-stored fingerprint comprises: respectively extracting the model characteristics of the 3D model of the pre-stored fingerprint and the model characteristics of the established 3D model of the fingerprint, comparing the coincidence proportion of the model characteristics of the pre-stored fingerprint and the established 3D model of the fingerprint, and if the coincidence proportion exceeds a preset proportion, determining that the difference between the model characteristics of the pre-stored fingerprint and the established 3D model of the fingerprint is within a preset allowable error range. And performing necessary feature extraction on the pre-stored 3D model and the newly established 3D model, and if the features of the newly established 3D model and the pre-stored 3D model have high coincidence degree, the difference between the features and the pre-stored 3D model is within an allowable range, a specific coincidence proportion limit can be set at 75%, and the feature coincidence degree greater than 75% is determined to be within an allowable error range.
In some embodiments of the present invention, the comparing the 3D model of the established fingerprint with the 3D model of the pre-stored fingerprint, if the difference between the two is within a preset allowable error range, the verification is successful, otherwise, the verification failure includes: and respectively comparing the established 3D model of the fingerprint with the pre-stored 3D models of the fingerprints, if the difference between any one of the pre-stored 3D models of the fingerprints and the established 3D model of the fingerprint is within a preset allowable error range, the verification is successful, otherwise, the verification fails. The specific finger is not necessarily used during user verification, so that when the 3D model of the pre-stored fingerprint is input, the 3D models of the fingerprints of a plurality of fingers are input as much as possible, and when the input finger is used during verification, the verification can be successful, so that the more input, the more selection during verification, and the more flexible verification process; since there are a plurality of pre-stored 3D models, when comparing a newly established 3D model with a pre-stored 3D model, it is necessary to compare the newly established 3D model with the pre-stored 3D models, and when comparing with any one of the 3D models, the error is within the allowable range, and the verification is successful.
As shown in fig. 5, in some embodiments of the present invention, the 3D model of the pre-stored fingerprint is pre-stored by:
s41, after the identity of the user is verified, an instruction for starting the image acquisition part is generated and executed, after the user operates the mobile terminal to enter a program for entering a 3D model, the identity of the user needs to be verified before entering, the user needs to be verified in other verification modes, such as password verification, graphic verification and the like, after verification, the image acquisition part (such as a camera of a mobile phone) of the mobile terminal is started to scan and transmit images, and when the verification system acquires the images scanned by the image acquisition part from time to time, whether fingerprints exist in the current scene or not can be automatically identified;
and S42, sequentially acquiring fingerprint images of a finger at multiple angles, establishing and storing a 3D model of the fingerprint of the finger according to the fingerprint images, and performing the step once or repeatedly until all the 3D models of the finger needing to be pre-stored are established and stored. In the process of establishing a 3D model of a finger, fingerprint images of the finger at multiple angles are required to be sequentially acquired, and when all the fingerprint images required by modeling are acquired, the fingerprint images are used for modeling; after the modeling is finished, an input cycle can be continued, namely a new finger is input, the input cycle is repeated for many times, then a plurality of fingers can be input, and after the input cycle is finished, the 3D model in which a plurality of fingerprints are stored in the verification system is verified.
As shown in fig. 6 and 7, in some embodiments of the present invention, the sequentially acquiring fingerprint images of a finger at a plurality of angles and generating a 3D model of a fingerprint corresponding to the finger according to the fingerprint images includes:
s421, acquiring and storing a fingerprint image of a first angle of the finger, automatically identifying whether the fingerprint exists in the current scene in the step S41, if the identification fails, entering fails, and if the fingerprint exists, entering is started, namely, the identified fingerprint image of the first angle is stored;
s422, determining the angle between the finger and the mobile terminal according to the fingerprint image of the first angle, storing the fingerprint image of the first angle, and then analyzing and processing the fingerprint image of the first angle, wherein the required result is the angle between the finger and the mobile terminal, namely the angle between the finger and the image acquisition piece;
s423, generating a guidance instruction according to the angle and a preset image acquisition strategy, wherein the more fingerprint images are needed for modeling, the higher the accuracy after modeling is, and therefore the user needs to refer to and set the number and angle requirements of the fingerprint images needed for determining modeling;
and S424, executing the instruction, namely sending out a prompt signal according to the instruction strategy, wherein the specific prompt signal can be a voice prompt or a text prompt and the like.
In some embodiments of the invention, said executing said instruction comprises:
the method comprises the steps that after a signal for guiding a finger to change an angle is sent, a new angle between the finger and the mobile terminal is obtained from time to time, and when the angle consistent with the angle required by the signal is obtained, a fingerprint image at the angle is obtained; repeating the steps until the required fingerprint images of all angles are obtained; in step S423, the finger is rotated to identify the fingerprint edge, and the specific rotation requires the user to rotate according to the guidance signal, for example, after the fingerprint image at the first angle is entered, according to the image acquisition policy, if the fingerprint image at the second angle is entered, the user needs to rotate upward by 10 ° on the basis of the first angle, so that the user sends the guidance signal of "rotate upward by 10 °" through voice or text, whether the user makes an action according to the guidance signal determines success or failure of the fingerprint edge identification, and if the user does not make an action according to the guidance signal (i.e., rotate upward by 10 °), the identification fails, and further prompts that the finger needs to be rotated, that is, the guidance signal is sent again; if the fingerprint image is scanned by the image acquisition part for 10 times, the fingerprint image is not in accordance with the requirement of the fingerprint image at the second angle, the recording is failed and the recording is not performed any more; and after the fingerprint image at the second angle is successfully recorded, continuously sending a guide signal and acquiring the fingerprint image at the new angle, and repeating for many times until all the required fingerprint images are acquired. Other desired angles will be described in detail below, and will not be described in any greater detail herein.
In some embodiments of the invention, the desired fingerprint images for each angle comprise: the image acquisition device comprises a first angle opposite to the image acquisition part, a second angle which rotates 10 degrees relative to the first angle in the first direction, a third angle which rotates 10 degrees relative to the first angle in the second direction, a fourth angle which rotates 30 degrees relative to the first angle in the third direction and a fifth angle which rotates 30 degrees relative to the first angle in the fourth direction. Wherein the first direction is up, the second direction is down, the third direction is left, and the fourth direction is right; the five angles comprise the core of the fingerprint and the edges in all directions, modeling is carried out by utilizing the fingerprint images of the five angles, so that the pre-stored 3D model can comprise more and more comprehensive model characteristics, and the newly established 3D model also has more and more comprehensive model characteristics during verification, thereby increasing the verification accuracy.
Based on the same inventive concept, the invention also provides a fingerprint verification system of the mobile terminal, which comprises: an acquisition module for acquiring fingerprint images of a finger at a plurality of angles; a modeling module for building a 3D model of a fingerprint from a plurality of said fingerprint images; and the comparison module is used for comparing the established 3D model of the fingerprint with a pre-stored 3D model of the fingerprint, if the difference between the two models is within a preset allowable error range, the verification is successful, and otherwise, the verification fails.
Based on the same inventive concept, the invention also provides a mobile terminal, which comprises the fingerprint verification system of the mobile terminal. The mobile terminal is provided with a high-precision camera supporting a 3D recognition technology and used as an image acquisition part; and meanwhile, the mobile terminal is provided with a flash lamp, a light sensor is arranged around the flash lamp, the flash lamp and the light sensor are electrically connected with the verification system, when the verification method is operated, the light sensor senses the light intensity in the scanning area of the camera, if the light intensity is weaker than a preset threshold value, the flash lamp is automatically turned on, the flash lamp is turned off after the verification is finished, and the preset threshold value can be selected and set within the range of 10-15 Lux.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention 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 functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including 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 methods described in the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
It is to be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (12)

1. A fingerprint verification method of a mobile terminal, the verification method comprising the steps of:
acquiring fingerprint images of a finger at a plurality of angles, which are acquired by an image acquisition piece of a mobile terminal;
establishing a 3D model of the fingerprint according to a plurality of fingerprint images;
and comparing the established 3D model of the fingerprint with a pre-stored 3D model of the fingerprint, if the difference between the two models is within a preset allowable error range, the verification is successful, and otherwise, the verification fails.
2. The authentication method according to claim 1, wherein the obtaining of the fingerprint images of the finger at the plurality of angles acquired by the image acquisition part of the mobile terminal further comprises:
acquiring the distance between a finger and the mobile terminal;
and judging whether the distance is within the effective distance range for acquiring the fingerprint image, and if so, generating and executing an instruction for starting the image acquisition piece.
3. The authentication method according to claim 1, wherein the obtaining of the fingerprint images of the finger at the plurality of angles acquired by the image acquisition part of the mobile terminal further comprises:
after the operation corresponding to a certain instruction is obtained, starting a verification method;
after the verification is successful, the method further comprises the following steps: and executing the instruction corresponding to the operation.
4. The authentication method according to claim 1, wherein the acquiring fingerprint images of a plurality of angles of a finger captured by an image capturing component of a mobile terminal comprises:
acquiring a fingerprint image of a finger at a first angle;
determining the angle between the finger and the mobile terminal according to the fingerprint image;
generating a guiding instruction according to the angle and a preset image acquisition strategy;
and executing the instruction.
5. The authentication method according to claim 1, wherein said comparing the 3D model of the established fingerprint with the 3D model of the pre-stored fingerprint comprises:
respectively extracting the model characteristics of the 3D model of the pre-stored fingerprint and the model characteristics of the established 3D model of the fingerprint, comparing the coincidence proportion of the model characteristics of the pre-stored fingerprint and the established 3D model of the fingerprint, and if the coincidence proportion exceeds a preset proportion, determining that the difference between the model characteristics of the pre-stored fingerprint and the established 3D model of the fingerprint is within a preset allowable error range.
6. The verification method according to claim 1, wherein the comparing the 3D model of the established fingerprint with the 3D model of the pre-stored fingerprint, if the difference between the two is within a preset allowable error range, the verification is successful, otherwise, the verification fails, and the verification method comprises:
and respectively comparing the established 3D model of the fingerprint with the pre-stored 3D models of the fingerprints, if the difference between any one of the pre-stored 3D models of the fingerprints and the established 3D model of the fingerprint is within a preset allowable error range, the verification is successful, otherwise, the verification fails.
7. Authentication method according to claim 1, characterized in that said pre-stored 3D model of fingerprints is pre-stored by the following steps:
after the identity of the user is verified, generating and executing an instruction for starting an image acquisition piece;
sequentially acquiring fingerprint images of a finger at a plurality of angles, establishing and storing a 3D model of the fingerprint of the finger according to the fingerprint images, and operating once or repeatedly operating for a plurality of times until all the 3D models of the finger needing to be pre-stored are established and stored.
8. The method of claim 7, wherein the sequentially obtaining fingerprint images of a finger at a plurality of angles and generating a 3D model of the fingerprint corresponding to the finger based on the images comprises:
acquiring and storing a fingerprint image of a finger at a first angle;
determining the angle between the finger and the mobile terminal according to the fingerprint image of the first angle;
generating a guiding instruction according to the angle and a preset image acquisition strategy;
and executing the instruction.
9. The validation method of claim 4 or 8, wherein the executing the directive instruction comprises:
the method comprises the steps that after a signal for guiding a finger to change an angle is sent, a new angle between the finger and the mobile terminal is obtained from time to time, and when the angle consistent with the angle required by the signal is obtained, a fingerprint image at the angle is obtained; and repeating the steps until the required fingerprint images of all angles are obtained.
10. The authentication method according to claim 9, wherein the required fingerprint images of the respective angles comprise:
the image acquisition device comprises a first angle opposite to the image acquisition part, a second angle which rotates 10 degrees relative to the first angle in the first direction, a third angle which rotates 10 degrees relative to the first angle in the second direction, a fourth angle which rotates 30 degrees relative to the first angle in the third direction and a fifth angle which rotates 30 degrees relative to the first angle in the fourth direction.
11. A fingerprint authentication system of a mobile terminal, the authentication system comprising:
an acquisition module for acquiring fingerprint images of a finger at a plurality of angles;
a modeling module for building a 3D model of a fingerprint from a plurality of said fingerprint images;
and the comparison module is used for comparing the established 3D model of the fingerprint with a pre-stored 3D model of the fingerprint, if the difference between the two models is within a preset allowable error range, the verification is successful, and otherwise, the verification fails.
12. A mobile terminal characterized by comprising the fingerprint authentication system of the mobile terminal of claim 11.
CN201910944653.8A 2019-09-30 2019-09-30 Mobile terminal, fingerprint verification method and system thereof Pending CN110941985A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112685754A (en) * 2020-12-25 2021-04-20 珠海零边界集成电路有限公司 Unlocking circuit and unlocking method of debugging interface

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140044342A1 (en) * 2012-08-07 2014-02-13 Research & Business Foundation Sungkyunkwan University Method for generating 3d coordinates and mobile terminal for generating 3d coordinates
CN104361315A (en) * 2014-10-27 2015-02-18 浙江工业大学 3D (three-dimensional) fingerprint recognition device based on monocular and multi-view stereoscopic machine vision
CN104751040A (en) * 2014-07-25 2015-07-01 北京智膜科技有限公司 Fingerprint detection method based on intelligent mobile information equipment
US20160070980A1 (en) * 2014-08-02 2016-03-10 The Hong Kong Polytechnic University Method and device for contactless biometrics identification
CN105574389A (en) * 2015-06-29 2016-05-11 宇龙计算机通信科技(深圳)有限公司 Fingerprint identification method and terminal
CN106127172A (en) * 2016-06-29 2016-11-16 东莞市中控电子技术有限公司 A kind of device and method of noncontact 3D fingerprint collecting
CN106127129A (en) * 2016-06-17 2016-11-16 北京小米移动软件有限公司 Fingerprint typing reminding method and device
CN106326813A (en) * 2015-06-30 2017-01-11 深圳指芯智能科技有限公司 Intelligent frequency conversion 3D fingerprint sensor
CN106407896A (en) * 2016-08-29 2017-02-15 华蓥市高科德电子科技有限公司 3D fingerprint information extraction method for handset equipment
CN106547674A (en) * 2016-10-28 2017-03-29 努比亚技术有限公司 A kind of fingerprint input method, device and terminal
CN106599859A (en) * 2016-12-20 2017-04-26 北京小米移动软件有限公司 Image photographing identification fingerprint assembly, identification method and identification device thereof, and electronic equipment
CN107688765A (en) * 2016-08-03 2018-02-13 北京小米移动软件有限公司 Fingerprint collecting method and device
CN107704839A (en) * 2016-05-27 2018-02-16 广东欧珀移动通信有限公司 A kind of unlocked by fingerprint method, apparatus and user terminal and medium product
CN207218938U (en) * 2017-09-15 2018-04-10 深圳奥比中光科技有限公司 Multi-functional 3D imaging modules and mobile terminal
CN207560063U (en) * 2017-08-08 2018-06-29 梁山盛源专用车制造有限公司 Photographic device and terminal
CN109543591A (en) * 2018-11-19 2019-03-29 珠海格力电器股份有限公司 A kind of method and apparatus of three-dimensional finger venous collection
CN110163164A (en) * 2019-05-24 2019-08-23 Oppo广东移动通信有限公司 A kind of method and device of fingerprint detection

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140044342A1 (en) * 2012-08-07 2014-02-13 Research & Business Foundation Sungkyunkwan University Method for generating 3d coordinates and mobile terminal for generating 3d coordinates
CN104751040A (en) * 2014-07-25 2015-07-01 北京智膜科技有限公司 Fingerprint detection method based on intelligent mobile information equipment
US20160070980A1 (en) * 2014-08-02 2016-03-10 The Hong Kong Polytechnic University Method and device for contactless biometrics identification
CN104361315A (en) * 2014-10-27 2015-02-18 浙江工业大学 3D (three-dimensional) fingerprint recognition device based on monocular and multi-view stereoscopic machine vision
CN105574389A (en) * 2015-06-29 2016-05-11 宇龙计算机通信科技(深圳)有限公司 Fingerprint identification method and terminal
CN106326813A (en) * 2015-06-30 2017-01-11 深圳指芯智能科技有限公司 Intelligent frequency conversion 3D fingerprint sensor
CN107704839A (en) * 2016-05-27 2018-02-16 广东欧珀移动通信有限公司 A kind of unlocked by fingerprint method, apparatus and user terminal and medium product
CN106127129A (en) * 2016-06-17 2016-11-16 北京小米移动软件有限公司 Fingerprint typing reminding method and device
CN106127172A (en) * 2016-06-29 2016-11-16 东莞市中控电子技术有限公司 A kind of device and method of noncontact 3D fingerprint collecting
CN107688765A (en) * 2016-08-03 2018-02-13 北京小米移动软件有限公司 Fingerprint collecting method and device
CN106407896A (en) * 2016-08-29 2017-02-15 华蓥市高科德电子科技有限公司 3D fingerprint information extraction method for handset equipment
CN106547674A (en) * 2016-10-28 2017-03-29 努比亚技术有限公司 A kind of fingerprint input method, device and terminal
CN106599859A (en) * 2016-12-20 2017-04-26 北京小米移动软件有限公司 Image photographing identification fingerprint assembly, identification method and identification device thereof, and electronic equipment
CN207560063U (en) * 2017-08-08 2018-06-29 梁山盛源专用车制造有限公司 Photographic device and terminal
CN207218938U (en) * 2017-09-15 2018-04-10 深圳奥比中光科技有限公司 Multi-functional 3D imaging modules and mobile terminal
CN109543591A (en) * 2018-11-19 2019-03-29 珠海格力电器股份有限公司 A kind of method and apparatus of three-dimensional finger venous collection
CN110163164A (en) * 2019-05-24 2019-08-23 Oppo广东移动通信有限公司 A kind of method and device of fingerprint detection

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周路菡;: "3D感知引领人机交互应用新方向", no. 11, pages 2 - 10 *
王科俊;丁欣楠;: "基于Android平台的非接触指纹识别研究", no. 03 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112685754A (en) * 2020-12-25 2021-04-20 珠海零边界集成电路有限公司 Unlocking circuit and unlocking method of debugging interface

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