CN107506629B - Unlocking control method and related product - Google Patents
Unlocking control method and related product Download PDFInfo
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- CN107506629B CN107506629B CN201710632715.2A CN201710632715A CN107506629B CN 107506629 B CN107506629 B CN 107506629B CN 201710632715 A CN201710632715 A CN 201710632715A CN 107506629 B CN107506629 B CN 107506629B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
- G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
Abstract
The embodiment of the invention discloses an unlocking control method and a related product, wherein the method comprises the following steps: when the touch operation of M fingers on a touch display screen is detected, M fingerprint images are collected through a fingerprint information collection module; verifying the M fingerprint images; and when L fingerprint images in the M fingerprint images fail to be verified, acquiring a target biological identification mode from Q pre-stored biological identification modes. By adopting the invention, the success rate and the flexibility of verification can be improved.
Description
Technical Field
The invention relates to the technical field of mobile terminals, and mainly relates to an unlocking control method and a related product.
Background
With the continuous development of mobile terminal technology, mobile terminals such as mobile phones, computers, tablets and the like are increasingly popularized, and unlocking operation is performed by adopting a biological recognition method.
In the related art, the fingerprint information acquisition module is integrated on the touch display screen to form a full-screen fingerprint, and when the full-screen fingerprint is applied, a user can unlock the mobile terminal in a mode that a plurality of fingers press the fingerprint simultaneously, so that the safety of the mobile terminal is improved. If one fingerprint image fails to be verified in the fingerprint images corresponding to the plurality of fingers, the whole unlocking verification fails, and the verification success rate is low.
Disclosure of Invention
The embodiment of the invention provides an unlocking control method and a related product, which are used for solving the technical problem of the success rate of verification caused by the fact that one fingerprint image fails to be verified in fingerprint images corresponding to a plurality of fingers.
In a first aspect, an embodiment of the present invention provides an unlocking control method, including:
when touch operation of M fingers on a touch display screen is detected, M fingerprint images are collected through the fingerprint information collection module, wherein M is an integer larger than 1;
verifying the M fingerprint images;
when L fingerprint images in the M fingerprint images fail to be verified, acquiring a target biometric pattern from Q pre-stored biometric patterns, wherein Q is an integer larger than 1, and L is a positive integer smaller than M.
In a second aspect, an embodiment of the present invention provides a mobile terminal, including a processor, a memory connected to the processor, a touch display screen, and a biological information collecting device, where the biological information collecting device at least includes a fingerprint information collecting module, where:
the touch display screen is used for detecting touch operation of M fingers on the touch display screen, wherein M is an integer greater than 1;
the fingerprint information acquisition module is used for acquiring M fingerprint images;
the memory is used for storing Q biometric patterns, and Q is an integer greater than 1;
the processor is configured to verify the M fingerprint images, and acquire a target biometric pattern from the Q biometric patterns when there are L fingerprint image verification failures in the M fingerprint images, where L is a positive integer smaller than M.
In a third aspect, an embodiment of the present invention provides an unlocking control apparatus, including:
the acquisition unit is used for acquiring M fingerprint images through the fingerprint information acquisition module when touch operation of M fingers on the touch display screen is detected, wherein M is an integer larger than 1;
a verification unit for verifying the M fingerprint images;
a first obtaining unit, configured to obtain a target biometric pattern from Q kinds of biometric patterns stored in advance when there are L fingerprint image authentication failures in the M fingerprint images, where Q is an integer greater than 1, and L is a positive integer smaller than M.
In a fourth aspect, an embodiment of the present invention provides another unlocking control method, which is applied to a mobile terminal including a processor, a memory connected to the processor, a touch display screen, and a biological information acquisition device, where the biological information acquisition device at least includes a fingerprint information acquisition module, where:
the touch control display screen detects touch control operation of M fingers on the touch control display screen, wherein M is an integer larger than 1;
the fingerprint information acquisition module acquires M fingerprint images;
the memory stores Q biometric patterns, wherein Q is an integer greater than 1;
the processor verifies the M fingerprint images, and when L fingerprint images in the M fingerprint images fail to be verified, a target biological identification mode is obtained from the Q biological identification modes, wherein L is a positive integer smaller than M.
In a fifth aspect, an embodiment of the present invention provides a mobile terminal, including: a processor, memory, a communication interface, and one or more programs;
the one or more programs are stored in the memory and configured to be executed by the processor, the programs including instructions for some or all of the steps as described in the first aspect.
In a sixth aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform some or all of the steps described in the first aspect of the present invention.
In a seventh aspect, an embodiment of the present invention provides a computer program product, where the computer program product comprises a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of an embodiment of the present invention. The computer program product may be a software installation package.
The embodiment of the invention has the following beneficial effects:
after the unlocking control method and the related products are adopted, when the touch operation of M fingers on the touch display screen is detected, the fingerprint information acquisition module is used for acquiring fingerprints to obtain M fingerprint images, when L fingerprint images in the M fingerprint images fail to be verified, the target biological identification mode is acquired from Q pre-stored biological identification modes, the biological verification information can be acquired through the target biological acquisition module corresponding to the target biological identification mode, the situation that the fingerprint images of the M fingers are repeatedly acquired but the verification fails is avoided, and therefore the success rate and the flexibility of verification are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
fig. 1 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention;
fig. 1A is a schematic view of a scenario in which a mobile terminal collects multiple fingerprints according to an embodiment of the present invention;
fig. 1B is a scene schematic diagram of a display acquisition area of a mobile terminal according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of an unlocking control method according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of another unlocking control method according to an embodiment of the present invention;
fig. 4 is a schematic flowchart of another unlocking control method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an unlocking control device according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another unlocking control device provided in the embodiment of the present invention;
fig. 7 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described 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, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. 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 Mobile terminal according to the embodiment of the present invention may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like, which have wireless communication functions. For convenience of description, the above-mentioned devices are collectively referred to as a mobile terminal. The following describes embodiments of the present invention in detail.
The embodiment of the invention provides an unlocking control method and a related product, which are used for solving the technical problem of the success rate of verification caused by the fact that one fingerprint image fails to be verified in fingerprint images corresponding to a plurality of fingers.
The mobile terminal described in the embodiment of the invention is provided with a biological information acquisition device, and the biological information acquisition device at least comprises a fingerprint information acquisition module, an iris information acquisition module and a facial information acquisition module, and also comprises a voice information acquisition module, a vein information acquisition module, a sclera information acquisition module and the like. Wherein, fingerprint information collection module can be fingerprint sensor module, iris information collection module can include infrared light source and infrared camera, and facial information collection module can be general camera module, like leading camera. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a mobile terminal 100 according to an embodiment of the present invention, where the mobile terminal 100 includes: the mobile terminal comprises a shell, a touch display screen 130, a main board, a battery and an auxiliary board, wherein an infrared light source 21, an infrared camera 22, a front camera 23, a processor 110, a memory 120, a Subscriber Identity Module (SIM) card slot and the like are arranged on the main board, a vibrator, an integrated sound cavity and a VOOC flash charging interface are arranged on the auxiliary board, the infrared light source 21 and the infrared camera 22 form an iris information acquisition device of the mobile terminal 100, the front camera 23 forms a facial information acquisition module of the mobile terminal 100, the touch display screen 130 integrates a fingerprint information acquisition module of the mobile terminal 100, and the iris information acquisition module, the facial information acquisition module and the fingerprint information acquisition module are collectively referred to as a biological information acquisition device of the mobile terminal 100.
When the biological information acquisition device is an iris information acquisition module, the infrared light source 21 is used for emitting infrared light to irradiate the iris of a user to form reflected light, the infrared camera 22 is used for collecting the reflected light to form an iris image, and after the processor 110 acquires the iris image, the processing processes of iris image quality evaluation, iris region positioning (including coarse positioning and fine positioning), iris preprocessing, iris feature point extraction, iris template generation and the like are executed aiming at the iris image, and the generated iris template is the biological information.
Based on the mobile terminal 100 described in fig. 1, the following operations may be performed:
in the embodiment of the present invention, the touch display screen 130 is configured to detect that M fingers are directed to the touch display screen 130, where M is an integer greater than 1.
When the touch display screen 130 detects a touch operation of a plurality of fingers, the fingerprint information collecting module collects fingerprints of the fingers of the touch operation. As shown in fig. 1A, when the user places 2 fingers of the index finger and the middle finger on the touch display screen 130 for touch operation, the fingerprint information collecting module collects fingerprints of the positions touched by the 2 fingers of the index finger and the middle finger.
In the embodiment of the invention, the fingerprint information acquisition module is used for acquiring M fingerprint images; the memory 120 is used for storing Q biometric patterns, wherein Q is an integer greater than 1.
In which Q kinds of multiple biometric patterns can be obtained by arranging and combining the biometric information collection devices included in the mobile terminal 100. For example: when the iris information acquisition module, the face information acquisition module and the fingerprint information acquisition module do not relate to the sequence, the iris information acquisition module, the face information acquisition module and the fingerprint information acquisition module can also comprise 4 multi-biometric identification modes besides an iris identification mode, a face identification mode and a fingerprint identification mode; where sequences are involved, 12 multiple biometric patterns may be included.
In an embodiment of the present invention, the processor 110 is configured to verify M fingerprint images, and when there are L fingerprint images in the M fingerprint images that fail to be verified, obtain a target biometric pattern from the Q biometric patterns.
Wherein L is a positive integer less than M. That is, there are L fingerprint images that fail to be verified among the M fingerprint images, and since the M fingerprint images include fingerprint images that succeed in verification, in order to avoid the occurrence of verification failure due to the unclean individual finger or other reasons, the target biometric pattern may be acquired from Q biometric patterns stored in advance.
When the touch operation of M fingers on a touch display screen is detected, the fingerprint information acquisition module acquires fingerprints to obtain M fingerprint images, when L fingerprint images in the M fingerprint images fail to be verified, a target biological identification mode is acquired from Q pre-stored biological identification modes, biological verification information can be acquired through the target biological acquisition module corresponding to the target biological identification mode, the situation that the fingerprint images of the M fingers are repeatedly acquired but the verification fails is avoided, and therefore the success rate and flexibility of verification are improved.
The target biometric pattern may be a combination of a plurality of biometric patterns, or may be a single biometric pattern.
Optionally, in the aspect that the processor 110 verifies the M fingerprint images, the processor 110 is specifically configured to: acquiring a fingerprint feature corresponding to each fingerprint image in the M fingerprint images to obtain M fingerprint features, wherein the M fingerprint features comprise target fingerprint features; and when the target fingerprint features are matched with preset fingerprint features, confirming that the fingerprint image corresponding to the target fingerprint features is successfully verified. And respectively matching the fingerprint characteristics of each fingerprint image with preset fingerprint characteristics to determine the fingerprint image which is successfully verified.
As an alternative embodiment, in the aspect that the processor 110 obtains the target biometric pattern from the Q biometric patterns, the processor 110 is specifically configured to: and acquiring association values between the L fingerprint images and the M, and acquiring the target biological identification mode from the Q biological identification modes according to the association values. That is, the target biometric identification mode is obtained according to the L fingerprint images and the associated value of M, and then the target biometric identification mode corresponding to the fingerprint image successfully verified can be selected, so that the success rate and flexibility of unlocking verification are improved.
The method for acquiring the correlation value is not limited, the correlation values of the L fingerprint images and the M may be the ratio between the L and the M, or the fingerprint identifiers of the L fingerprint images and the correlation values of the M, or the ratio between the statistical number of each failure type and the M and the corresponding weight may be used to acquire the correlation value, and the average value between the ratios is used as the correlation value.
For example, assuming that the current multi-finger verification corresponds to the fingers of the left middle finger, the left index finger and the right middle finger, i.e., M is 3, and the user inputs the left middle finger, the right index finger and the right middle finger, assuming that the fingerprint image verification of the left middle finger and the right middle finger is successful, L is 1, and the ratio of L and M is 1/3. Assuming that the relationship between the ratio of L and M and the target biometric pattern is shown in table 1, the biometric pattern of the target can be obtained as the iris recognition pattern and the face recognition pattern, that is, the biometric information acquisition devices corresponding to the target biometric pattern are the iris information acquisition module and the face information acquisition module.
TABLE 1
| Ratio of L to M | Target biometric pattern |
| 2/3 | |
| 1/3 | Iris recognition mode and face recognition mode |
For another example, assuming that the fingers corresponding to the current multi-finger verification are the left middle finger, the left index finger and the right middle finger, i.e., M is 3, and the user inputs the left middle finger, the right index finger and the right middle finger, assuming that the fingerprint images of the left middle finger and the right middle finger are successfully verified, L is 1, matching the fingerprint features in the fingerprint images with the preset fingerprint features can obtain the fingerprint identifier corresponding to the fingerprint image failed in verification as the right index finger, and the relationship between the fingerprint identifier of the fingerprint image failed in verification and the target biometric identification mode is shown in table 2, so that the target biometric identification mode can be obtained as the face recognition mode, that is, the biometric information acquisition device corresponding to the target biometric identification mode is the face information acquisition module.
TABLE 2
| Fingerprint identification | Target biometric pattern |
| Thumb of left hand | Iris recognition mode |
| Left-hand ring finger | Iris recognition mode and face recognition mode |
| Little finger of left hand | Sclera recognition mode |
| Thumb of right hand | Iris recognition mode |
| Right hand ring finger | Iris recognition mode and face recognition mode |
| Index finger of right hand | Face recognition mode |
| Little finger of right hand | Sclera recognition mode |
As an alternative embodiment, in terms of the processor 110 obtaining the association values between the L fingerprint images and the M, the processor 110 is specifically configured to: counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer greater than 1; and acquiring the correlation value according to the statistical number corresponding to each failure type in the P failure types.
The failure type of fingerprint image verification failure can be incomplete acquisition or acquisition failure, and can also be acquisition object error. Comparing the fingerprint characteristics of the fingerprint image with preset fingerprint characteristics to obtain failure types, respectively counting the statistical number corresponding to each failure type, and obtaining the correlation value according to the statistical number corresponding to each failure type and the ratio of M.
For example, assume that the current multi-finger verification corresponds to the left middle finger, the left index finger, and the right middle finger, i.e., M is 3, and the user inputs the left middle finger, the right index finger, and the right middle finger. Since the fingerprint image of the right index finger cannot be matched with the preset fingerprint image of the left index finger, assuming that the fingerprint image of the left middle finger is successfully verified and the fingerprint image of the right middle finger is incompletely collected, L is 1. Wherein, the failure type is that the statistical number of the collected incomplete fingerprint images is 1, and the ratio of the statistical number of the failure type to M is 1/3; and the failure type is that the statistical number of fingerprint images of the acquired error object is 1, and the ratio of the statistical number of the failure type to the M is 1/3. Taking the average value between the two as 1/3, and assuming that the relationship between the average value and the target biometric pattern is shown in table 3, the target biometric pattern can be obtained as the iris recognition pattern and the face recognition pattern, that is, the biometric information acquisition devices corresponding to the target biometric pattern are the iris information acquisition module and the face information acquisition module.
TABLE 3
| Mean value of | Target biometric pattern |
| 2/3 | |
| 1/3 | Iris recognition mode and face recognition mode |
As an optional embodiment, the memory 120 is further configured to store a preset color corresponding to each failure type; after the processor acquires the target biological identification mode from the Q types of biological identification modes, the touch display screen is further used for displaying the acquisition areas of the L fingerprint images according to the preset colors corresponding to the failure types of the L fingerprint images.
The acquisition areas of the L fingerprint images are displayed on the touch display screen, and the preset colors corresponding to the corresponding failure types are displayed, namely, the preset colors are displayed through different colors, so that the success rate of verification can be improved.
For example, there are 2 cases of authentication failure in the current 3 fingerprint images, and the failure type is that the statistical number of acquiring incomplete fingerprint images is 1, while the failure type is that the statistical number of acquiring fingerprint images of an erroneous object is 1. Assume that the failure type is that the preset color corresponding to the collection of the incomplete fingerprint image is black, and the failure type is that the preset color corresponding to the collection of the fingerprint image of the wrong object is white. As shown in fig. 1B, a white acquisition area and a black acquisition area are displayed on the touch display screen, and then the acquisition areas are displayed in different colors, so that the user can immediately understand which fingerprint image acquisition fails, thereby improving the success rate of verification.
Optionally, if the failure types of the L fingerprint images are incomplete, performing acquisition again; if the failure type of the acquisition error object is included, the acquisition can be carried out through a biological information acquisition module corresponding to the target biological identification mode. And selecting the target biological identification mode according to the failure type, so that the power consumption of the mobile terminal can be saved, and the verification safety can be improved.
Optionally, the processor 110 is further configured to obtain a fingerprint identifier corresponding to each of the M fingerprint images, to obtain M fingerprint identifier objects; and when the M fingerprint identifications are matched with the historical fingerprint identifications, generating prompt information.
That is, when the fingerprint identifier is the historical fingerprint identifier, it may be determined that the current verification operation is not a wrong operation, and at this time, a prompt message, such as a prompt message of "password has been changed", may be generated, thereby avoiding repeated use of a wrong finger for verification.
For example, the historical authentication identifications are the left middle finger, the right middle finger and the right index finger, and the authentication identifications required by the current authentication operation are the left middle finger, the right middle finger and the right index finger. Fingerprint images of 3 fingers of a user are acquired through the fingerprint information acquisition module, fingerprint identifiers of all the fingerprint images are acquired through the processor 110 respectively, 3 fingerprint identifiers of a left middle finger, a right middle finger and a left index finger are obtained, prompt information is sent through the processor 110, and prompt information of 'password changed' is displayed on the touch display screen 130.
Optionally, the processor 110 is further configured to generate a first prompt message when the verification fails for R times of the verification of the M fingerprint images, where R is an integer greater than or equal to the first threshold. The first prompt message may be a prompt message informing the user of which fingers are specific, or may be a prompt message informing the user of inputting other biometric information. The user is prompted to avoid inputting wrong verification information, and the convenience of operation is improved.
For example, assuming that the first threshold is 2 and M is 2, the authentication identifiers required by the current authentication operation are the right middle finger and the right index finger. Fingerprint images of 2 fingers of a user are collected through the fingerprint information collecting module, fingerprint identifiers of the fingerprint images are obtained through the processor 110 respectively, 3 fingerprint identifiers of a middle finger of the right hand and a forefinger of the left hand are obtained, and verification fails. The second time the user still inputs the fingerprint images of the middle finger and the index finger of the left hand, and if the verification fails in the same way, the processor 110 sends the first prompt information, and the prompt information of the middle finger and the index finger of the right hand is displayed on the touch display screen 130, so that the wrong finger is prevented from being input by the verification for the third time, and the convenience of operation is improved.
For another example, assuming that the first threshold is 2, M is 2, the authentication identifier required by the current authentication operation is the middle finger of the right hand and the index finger of the right hand, and if the first authentication fails, the target biometric mode is used for authentication. Fingerprint images of 2 fingers of a user are collected through the fingerprint information collecting module, fingerprint identifiers of the fingerprint images are obtained through the processor 110 respectively, 3 fingerprint identifiers of a middle finger of the right hand and a forefinger of the left hand are obtained, and verification fails. The second time the user still inputs the fingerprint images of the middle finger and the index finger of the right hand, and the verification inevitably fails because the target biometric identification mode is changed, the processor 110 sends the first prompt information, and the prompt information of the target biometric identification mode is displayed on the touch display screen 130, so that the third verification failure is avoided, and the convenience of operation is improved.
As an optional embodiment, the mobile terminal 100 further includes a target biological information collecting module connected to the processor 110, where the target biological information collecting module corresponds to any biological information collecting module of the target biological identification mode; the memory 120 is further configured to store preset biometric authentication information and a matching threshold corresponding to the target biometric information collection module; after the processor 110 obtains the target biometric pattern from the Q biometric patterns, the target biometric module is configured to acquire biometric authentication information; the processor 110 is further configured to increase the matching threshold to a target threshold; and acquiring a matching value between the biological verification information and the preset biological verification information, and confirming that the verification is successful when the matching value is greater than or equal to the target threshold value.
That is, the biometric information acquisition module corresponding to the target biometric identification mode acquires biometric authentication information, and the authentication is considered to be successful as long as the matching value of the biometric authentication information and the preset biometric authentication information is greater than the target threshold value. And if the target threshold is greater than the matching threshold corresponding to the preset biological verification information, the matching threshold is improved, so that the safety and the flexibility of verification are improved.
Referring to fig. 2, fig. 2 is a flowchart illustrating an unlocking control method according to an embodiment of the present invention, which is applied to the mobile terminal described in fig. 1. Wherein:
201: the touch display screen detects touch operation of M fingers on the touch display screen.
202: the fingerprint information acquisition module acquires M fingerprint images.
203: the memory stores Q biometric patterns.
204: the processor verifies the M fingerprint images, and when L fingerprint images in the M fingerprint images fail to be verified, the target biological identification mode is obtained from the Q biological identification modes.
Wherein M, Q are integers greater than 1, and L is a positive integer less than M.
It can be seen that, in the embodiment of the present invention, when a touch operation of M fingers on a touch display screen is detected, M fingerprint images are obtained by performing fingerprint acquisition through the fingerprint information acquisition module, and when L fingerprint images in the M fingerprint images fail to be verified, a target biometric identification mode is obtained from Q biometric identification modes stored in advance, and then biometric authentication information can be acquired through the target biometric acquisition module corresponding to the target biometric identification mode, thereby avoiding a situation that fingerprint images of M fingers are repeatedly acquired but verification fails, and improving success rate and flexibility of verification.
In one possible example, the processor obtains the target biometric pattern from the Q biometric patterns, including:
and acquiring correlation values between the L fingerprint images and the M, and acquiring a target biological identification mode from the Q biological identification modes according to the correlation values.
In one possible example, the processor obtains association values between the L fingerprint images and M, including:
counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer larger than 1;
and obtaining a correlation value according to the statistical number corresponding to each failure type in the P failure types.
In one possible example, the memory stores a preset color corresponding to each failure type;
after the processor obtains the target biometric pattern from the Q biometric patterns,
and the touch display screen displays the acquisition areas of the L fingerprint images according to preset colors corresponding to the failure types of the L fingerprint images.
In one possible example, the mobile terminal further comprises a target biological information acquisition module connected with the processor, wherein the target biological information acquisition module corresponds to any biological information acquisition module of the target biological identification mode;
the memory stores preset biological verification information and a matching threshold corresponding to the target biological information acquisition module;
after the processor obtains the target biometric pattern from the Q biometric patterns,
the target biological identification module collects biological verification information;
the processor raises the matching threshold to a target threshold; and acquiring a matching value between the biological verification information and the preset biological verification information, and confirming that the verification is successful when the matching value is greater than or equal to a target threshold value.
Referring to fig. 3, a first aspect of an embodiment of the present invention provides another unlocking control method, which is applied to the mobile terminal shown in fig. 1. As shown in fig. 3, the unlock control method includes:
301: when M fingers are detected to perform touch operation on the touch display screen, M fingerprint images are collected through the fingerprint information collecting module.
Wherein M is an integer greater than 1. When the touch display screen 130 detects a touch operation of a plurality of fingers, the fingerprint information collecting module collects fingerprints of the fingers of the touch operation. As shown in fig. 1A, when the user places 2 fingers of the index finger and the middle finger on the touch display screen 130 for touch operation, the fingerprint information collecting module collects fingerprints of the positions touched by the 2 fingers of the index finger and the middle finger.
302: m fingerprint images are verified.
Optionally, in the aspect that the processor 110 verifies the M fingerprint images, the processor 110 is specifically configured to: acquiring a fingerprint feature corresponding to each fingerprint image in M fingerprint images to obtain M fingerprint features, wherein the M fingerprint features comprise target fingerprint features; and when the target fingerprint features are matched with the preset fingerprint features, confirming that the fingerprint image corresponding to the target fingerprint features is successfully verified. And respectively matching the fingerprint characteristics of each fingerprint image with preset fingerprint characteristics to determine the fingerprint image which is successfully verified.
303: and when L fingerprint images in the M fingerprint images fail to be verified, acquiring a target biological identification mode from Q pre-stored biological identification modes.
Wherein Q is an integer greater than 1. Q kinds of multiple biometric patterns can be obtained by arranging and combining the biometric information collection devices included in the mobile terminal 100. For example: when the iris information acquisition module, the face information acquisition module and the fingerprint information acquisition module do not relate to the sequence, the iris information acquisition module, the face information acquisition module and the fingerprint information acquisition module can also comprise 4 multi-biometric identification modes besides an iris identification mode, a face identification mode and a fingerprint identification mode; where sequences are involved, 12 multiple biometric patterns may be included.
Wherein L is a positive integer less than M. That is, there are L fingerprint images that fail to be verified among the M fingerprint images, and since the M fingerprint images include fingerprint images that succeed in verification, in order to avoid the occurrence of verification failure due to the unclean individual finger or other reasons, the target biometric pattern may be acquired from Q biometric patterns stored in advance.
The target biometric pattern may be a combination of a plurality of biometric patterns, or may be a single biometric pattern.
As an alternative embodiment, the obtaining the target biometric pattern from the pre-stored Q biometric patterns includes: and acquiring correlation values between the L fingerprint images and the M, and acquiring a target biological identification mode from the Q biological identification modes according to the correlation values.
That is, the target biometric identification mode is obtained according to the L fingerprint images and the associated value of M, and then the target biometric identification mode corresponding to the fingerprint image successfully verified can be selected, so that the success rate and flexibility of unlocking verification are improved.
The method for acquiring the correlation value is not limited, the correlation values of the L fingerprint images and the M may be the ratio between the L and the M, or the fingerprint identifiers of the L fingerprint images and the correlation values of the M, or the ratio between the statistical number of each failure type and the M and the corresponding weight may be used to acquire the correlation value, and the average value between the ratios is used as the correlation value.
As an alternative embodiment, obtaining the association values between the L fingerprint images and M includes: counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer larger than 1; and obtaining a correlation value according to the P failure types and the statistical number corresponding to each failure type.
The failure type of fingerprint image verification failure can be incomplete acquisition or acquisition failure, and can also be acquisition object error. Comparing the fingerprint characteristics of the fingerprint image with preset fingerprint characteristics to obtain failure types, respectively counting the statistical number corresponding to each failure type, and obtaining the correlation value according to the statistical number corresponding to each failure type and the ratio of M.
As an alternative embodiment, obtaining the association values between the L fingerprint images and M includes: counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer larger than 1; and obtaining a correlation value according to the P failure types and the statistical number corresponding to each failure type.
The acquisition areas of the L fingerprint images are displayed on the touch display screen, and the preset colors corresponding to the corresponding failure types are displayed, namely, the preset colors are displayed through different colors, so that the success rate of verification can be improved.
Optionally, if the failure types of the L fingerprint images are incomplete, performing acquisition again; if the failure type of the acquisition error object is included, the acquisition can be carried out through a biological information acquisition module corresponding to the target biological identification mode. And selecting the target biological identification mode according to the failure type, so that the power consumption of the mobile terminal can be saved, and the verification safety can be improved.
Optionally, acquiring a fingerprint identifier corresponding to each of the M fingerprint images to obtain M fingerprint identifier objects; and when the M fingerprint identifications are matched with the historical fingerprint identifications, generating prompt information.
That is, when the fingerprint identifier is the historical fingerprint identifier, it may be determined that the current verification operation is not a wrong operation, and at this time, a prompt message, such as a prompt message of "password has been changed", may be generated, thereby avoiding repeated use of a wrong finger for verification.
Optionally, when the verification fails for R times of the verification of the M fingerprint images, the first prompt information is generated, where R is an integer greater than or equal to the first threshold. The first prompt message may be a prompt message informing the user of which fingers are specific, or may be a prompt message informing the user of inputting other biometric information. The user is prompted to avoid inputting wrong verification information, and the convenience of operation is improved.
In the unlocking control method shown in fig. 3, when the touch operation of M fingers on the touch display screen is detected, the fingerprint information acquisition module acquires fingerprints to obtain M fingerprint images, and when L fingerprint images in the M fingerprint images fail to be verified, the target biometric identification mode is acquired from Q biometric identification modes stored in advance, and the biometric identification information can be acquired through the target biometric acquisition module corresponding to the target biometric identification mode, so that the situation that the fingerprint images of the M fingers are repeatedly acquired but the verification fails is avoided, and the success rate and flexibility of the verification are improved.
Referring to fig. 4, fig. 4 is a diagram illustrating another unlocking control method according to an embodiment of the present invention, which is applied to the mobile terminal shown in fig. 1. As shown in fig. 4, the unlock control method includes:
401: when M fingers are detected to perform touch operation on the touch display screen, M fingerprint images are collected through the fingerprint information collecting module.
402: m fingerprint images are verified.
403: and when L fingerprint images in the M fingerprint images fail to be verified, acquiring a target biological identification mode from Q pre-stored biological identification modes.
In step 401-.
404: and acquiring biological verification information through the target biological information acquisition module, and increasing the matching threshold corresponding to the target biological information acquisition module to be a target threshold.
The target biological information acquisition module is any biological information acquisition module corresponding to the target biological identification mode. That is, the biometric information acquisition module corresponding to the target biometric identification mode acquires biometric verification information, and the matching threshold of the biometric information acquisition module corresponding to the target biometric identification mode is respectively increased instead of the original fixed matching threshold, so that the verification safety is improved.
405: and acquiring a matching value between the biological verification information and the preset biological verification information, and confirming that the verification is successful when the matching value is greater than or equal to a target threshold value.
That is, the biometric information acquisition module corresponding to the target biometric identification mode acquires biometric authentication information, and the authentication can be considered to be successful as long as the matching value of the biometric authentication information and the preset biometric authentication information is greater than the target threshold value, so that the security and the flexibility of the authentication are improved.
In the unlocking control method shown in fig. 4, when the touch operation of M fingers on the touch display screen is detected, the fingerprint information acquisition module acquires fingerprints to obtain M fingerprint images, and when L fingerprint images in the M fingerprint images fail to be verified, the target biometric identification mode is acquired from Q biometric identification modes stored in advance, and the biometric identification information can be acquired through the target biometric acquisition module corresponding to the target biometric identification mode, so that the situation that the fingerprint images of the M fingers are repeatedly acquired but the verification fails is avoided, and the success rate and flexibility of the verification are improved. And adjusting the matching threshold of the target biological identification module to the target threshold, and when the biological verification information is failed to be verified, confirming that the target biological identification module is successfully verified as long as the matching value of the biological verification information and the preset biological verification information is greater than or equal to the target threshold, wherein the target threshold is greater than the matching threshold, so that the safety is improved.
Referring to fig. 5, fig. 5 is a diagram illustrating an unlocking control device according to an embodiment of the present invention, which is applied to the mobile terminal shown in fig. 1. As shown in fig. 5, the unlocking control device 500 includes a collecting unit 501, a verifying unit 502, and an obtaining unit 503, wherein:
the collecting unit 501 is configured to collect M fingerprint images through the fingerprint information collecting module when detecting a touch operation of M fingers on the touch display screen, where M is an integer greater than 1.
An authentication unit 502 for authenticating the M fingerprint images.
An obtaining unit 503, configured to obtain a target biometric pattern from Q kinds of biometric patterns stored in advance when there are L fingerprint image authentication failures in the M fingerprint images, where Q is an integer greater than 1, and L is a positive integer smaller than M.
In the unlocking control device shown in fig. 5, when the touch operation of M fingers on the touch display screen is detected, M fingerprint images are acquired by fingerprint acquisition through the fingerprint information acquisition module, and when L fingerprint images in the M fingerprint images fail to be verified, a target biological identification mode is acquired from Q pre-stored biological identification modes, biological verification information can be acquired through the target biological acquisition module corresponding to the target biological identification mode, so that the situation that the fingerprint images of the M fingers are repeatedly acquired but the verification fails is avoided, and the success rate and flexibility of verification are improved.
It can be understood that the functions of each program module of the unlocking control device in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.
Referring to fig. 6, fig. 6 is a diagram illustrating another unlocking control device according to an embodiment of the present invention, which is applied to the mobile terminal shown in fig. 1. As shown in fig. 6, the unlock control device 600 includes:
the first collecting unit 601 is configured to collect M fingerprint images through the fingerprint information collecting module when detecting a touch operation of M fingers on the touch display screen, where M is an integer greater than 1.
A first verification unit 602, configured to verify the M fingerprint images.
A first obtaining unit 603 configured to obtain a target biometric pattern from Q biometric patterns stored in advance when there are L fingerprint image authentication failures among the M fingerprint images, Q being an integer greater than 1, and L being a positive integer smaller than M.
The second collecting unit 604 is configured to collect biometric verification information through the target biometric information collecting module, and increase a matching threshold corresponding to the target biometric information collecting module to be a target threshold, where the target biometric information collecting module is any biometric information collecting module corresponding to the target biometric identification mode.
A second obtaining unit 605 for obtaining a matching value between the biometric authentication information and the preset biometric authentication information.
A second verifying unit 606, configured to confirm that the verification is successful when the matching value is greater than or equal to the target threshold.
As an alternative embodiment, the apparatus 600 further comprises:
a third obtaining unit 607 for obtaining the association values between the L fingerprint images and M; the target biometrics authentication pattern is acquired from the Q biometrics authentication patterns based on the correlation values by the first acquisition unit 603.
As an alternative embodiment, the apparatus 600 further comprises:
a counting unit 608, configured to count a failure type of each fingerprint image in the L fingerprint images to obtain P failure types and a count number corresponding to each failure type, where P is an integer greater than 1; the third obtaining unit 607 obtains the correlation values according to the P failure types and the corresponding statistical number of each failure type.
As an alternative embodiment, the apparatus 600 further comprises:
the display unit 609 is configured to display the acquisition areas of the L fingerprint images according to preset colors corresponding to failure types of the L fingerprint images, where each failure type corresponds to a preset color.
In the unlocking control device shown in fig. 6, when the touch operation of M fingers on the touch display screen is detected, the fingerprint information acquisition module acquires fingerprints to obtain M fingerprint images, and when L fingerprint images in the M fingerprint images fail to be verified, the target biological identification mode is acquired from Q pre-stored biological identification modes, and biological verification information can be acquired through the target biological acquisition module corresponding to the target biological identification mode, so that the situation that the fingerprint images of the M fingers are repeatedly acquired but the verification fails is avoided, and the success rate and flexibility of verification are improved. And adjusting the matching threshold of the target biological identification module to the target threshold, and when the biological verification information is failed to be verified, confirming that the target biological identification module is successfully verified as long as the matching value of the biological verification information and the preset biological verification information is greater than or equal to the target threshold, wherein the target threshold is greater than the matching threshold, so that the safety is improved.
It can be understood that the functions of each program module of the unlocking control device in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.
Referring to fig. 7, and fig. 7 is a schematic structural diagram of another mobile terminal according to an embodiment of the present invention, as shown in fig. 7, the mobile terminal 700 includes a processor 710, a memory 720, a communication interface 730, and one or more programs 740, wherein the one or more programs 740 are stored in the memory 720 and configured to be executed by the processor 710, and the programs 740 include instructions for performing the following steps:
when touch operation of M fingers on a touch display screen is detected, M fingerprint images are collected through a fingerprint information collection module, wherein M is an integer larger than 1;
verifying the M fingerprint images;
when L fingerprint images in the M fingerprint images fail to be verified, acquiring a target biometric pattern from Q pre-stored biometric patterns, wherein Q is an integer larger than 1, and L is a positive integer smaller than M.
It can be seen that, in the embodiment of the present invention, when a touch operation of M fingers on a touch display screen is detected, M fingerprint images are obtained by performing fingerprint acquisition through the fingerprint information acquisition module, and when L fingerprint images in the M fingerprint images fail to be verified, a target biometric identification mode is obtained from Q biometric identification modes stored in advance, and then biometric authentication information can be acquired through the target biometric acquisition module corresponding to the target biometric identification mode, thereby avoiding a situation that fingerprint images of M fingers are repeatedly acquired but verification fails, and improving success rate and flexibility of verification.
In one possible example, in obtaining a target biometric pattern from among the pre-stored Q biometric patterns, the program 740 is specifically directed to instructions for performing the steps of:
and acquiring correlation values between the L fingerprint images and the M, and acquiring a target biological identification mode from the Q biological identification modes according to the correlation values. In one possible example, in obtaining the association values between the L fingerprint images and M, the program 740 is particularly adapted to execute the following steps:
counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer larger than 1;
and obtaining a correlation value according to the P failure types and the statistical number corresponding to each failure type. In one possible example, after obtaining the target biometric pattern from among the Q biometric patterns stored in advance, the program is further for executing the instructions of:
and displaying the acquisition areas of the L fingerprint images according to preset colors corresponding to the failure types of the L fingerprint images, wherein each failure type corresponds to a preset color.
In one possible example, after obtaining the target biometric pattern from the pre-stored Q biometric patterns, the program 740 is further for executing the instructions of:
acquiring biological verification information through a target biological information acquisition module, and increasing a matching threshold corresponding to the target biological information acquisition module to be a target threshold, wherein the target biological information acquisition module is any biological information acquisition module corresponding to a target biological identification mode;
and acquiring a matching value between the biological verification information and the preset biological verification information, and confirming that the verification is successful when the matching value is greater than or equal to a target threshold value.
An embodiment of the present invention further provides a computer storage medium, where the computer storage medium is used to store a computer program, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a mobile terminal.
Embodiments of the present invention 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 methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a mobile terminal.
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 invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
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 above-described division of the units is only one type of division of logical functions, 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 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 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes 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 above methods according to the embodiments of the present invention. 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 above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in view of the above, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An unlock control method, characterized by comprising:
when touch operation of M fingers on a touch display screen is detected, M fingerprint images are collected through a fingerprint information collection module, wherein M is an integer larger than 1;
verifying the M fingerprint images;
when L fingerprint images in the M fingerprint images fail to be verified, acquiring a target biological identification mode from Q pre-stored biological identification modes, wherein Q is an integer larger than 1, and L is a positive integer smaller than M;
wherein, the acquiring the target biological recognition pattern from the pre-stored Q kinds of biological recognition patterns comprises: acquiring correlation values between the L fingerprint images and the M, and acquiring the target biological identification mode from the Q biological identification modes according to the correlation values;
wherein the obtaining of the association values between the L fingerprint images and the M comprises: counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer greater than 1; and acquiring the correlation value according to the P failure types and the statistical number corresponding to each failure type.
2. The method according to claim 1, wherein after said obtaining the target biometric pattern from the pre-stored Q biometric patterns, the method further comprises:
and displaying the acquisition areas of the L fingerprint images according to preset colors corresponding to the failure types of the L fingerprint images, wherein each failure type corresponds to a preset color.
3. The method according to any one of claims 1-2, wherein after said obtaining the target biometric pattern from the pre-stored Q biometric patterns, the method further comprises:
acquiring biological verification information through a target biological information acquisition module, and increasing a matching threshold corresponding to the target biological information acquisition module to be a target threshold, wherein the target biological information acquisition module is any biological information acquisition module corresponding to the target biological identification mode;
and acquiring a matching value between the biological verification information and preset biological verification information, and confirming that the verification is successful when the matching value is greater than or equal to the target threshold value.
4. The utility model provides a mobile terminal, its characterized in that, including the treater, with memory, touch-control display screen and biological information collection system that the treater is connected, include fingerprint information collection module among the biological information collection system at least, wherein:
the touch display screen is used for detecting touch operation of M fingers on the touch display screen, wherein M is an integer greater than 1;
the fingerprint information acquisition module is used for acquiring M fingerprint images;
the memory is used for storing Q biometric patterns, and Q is an integer greater than 1;
the processor is configured to verify the M fingerprint images, and when there are L fingerprint image verification failures in the M fingerprint images, obtain a target biometric pattern from the Q biometric patterns, where L is a positive integer smaller than M;
wherein, in terms of the processor obtaining the target biometric pattern from the Q biometric patterns, the processor is specifically configured to: acquiring correlation values between the L fingerprint images and the M, and acquiring the target biological identification mode from the Q biological identification modes according to the correlation values;
wherein, in terms of the processor obtaining the association values between the L fingerprint images and the M, the processor is specifically configured to:
counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer greater than 1;
and acquiring the correlation value according to the statistical number corresponding to each failure type in the P failure types.
5. The mobile terminal of claim 4,
the memory is also used for storing a preset color corresponding to each failure type;
after the processor acquires the target biological identification mode from the Q types of biological identification modes, the touch display screen is further used for displaying the acquisition areas of the L fingerprint images according to the preset colors corresponding to the failure types of the L fingerprint images.
6. The mobile terminal according to any of claims 4-5, wherein the mobile terminal further comprises a target biometric information collection module connected to the processor, the target biometric information collection module corresponding to any biometric information collection module of the target biometric identification mode;
the memory is also used for storing preset biological verification information and a matching threshold corresponding to the target biological information acquisition module;
after the processor obtains the target biometric pattern from the Q biometric patterns,
the target biological identification module is used for acquiring biological verification information;
the processor is further configured to increase the matching threshold to a target threshold; and acquiring a matching value between the biological verification information and the preset biological verification information, and confirming that the verification is successful when the matching value is greater than or equal to the target threshold value.
7. An unlock control device, comprising:
the system comprises an acquisition unit, a fingerprint information acquisition module and a display unit, wherein the acquisition unit is used for acquiring M fingerprint images through the fingerprint information acquisition module when touch operation of M fingers on a touch display screen is detected, and M is an integer greater than 1;
a verification unit for verifying the M fingerprint images;
a first obtaining unit, configured to obtain a target biometric pattern from Q biometric patterns stored in advance when there are L fingerprint image authentication failures in the M fingerprint images, where Q is an integer greater than 1, and L is a positive integer smaller than M;
wherein, the acquiring the target biological recognition pattern from the pre-stored Q kinds of biological recognition patterns comprises: acquiring correlation values between the L fingerprint images and the M, and acquiring the target biological identification mode from the Q biological identification modes according to the correlation values;
wherein the obtaining of the association values between the L fingerprint images and the M comprises: counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer greater than 1; and acquiring the correlation value according to the P failure types and the statistical number corresponding to each failure type.
8. The unlocking control method is characterized by being applied to a mobile terminal comprising a processor, a memory connected with the processor, a touch display screen and a biological information acquisition device, wherein the biological information acquisition device at least comprises a fingerprint information acquisition module, and the method comprises the following steps:
the touch control display screen detects touch control operation of M fingers on the touch control display screen, wherein M is an integer larger than 1;
the fingerprint information acquisition module acquires M fingerprint images;
the memory stores Q biometric patterns, wherein Q is an integer greater than 1;
the processor verifies the M fingerprint images, and when L fingerprint images in the M fingerprint images fail to be verified, a target biological identification mode is obtained from the Q biological identification modes, wherein L is a positive integer smaller than M;
wherein, the acquiring the target biological recognition pattern from the pre-stored Q kinds of biological recognition patterns comprises: acquiring correlation values between the L fingerprint images and the M, and acquiring the target biological identification mode from the Q biological identification modes according to the correlation values;
wherein the obtaining of the association values between the L fingerprint images and the M comprises: counting the failure type of each fingerprint image in the L fingerprint images to obtain P failure types and the corresponding counted number of each failure type, wherein P is an integer greater than 1; and acquiring the correlation value according to the P failure types and the statistical number corresponding to each failure type.
9. A mobile terminal, comprising: a processor, memory, a communication interface, and one or more programs;
the one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the method of any of claims 1-3.
10. A computer-readable storage medium for storing a computer program, wherein the computer program causes a computer to perform the method according to any one of claims 1-3.
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| CN109960907A (en) * | 2017-12-26 | 2019-07-02 | 航天信息股份有限公司 | A kind of method for identifying ID and equipment |
| CN109583320A (en) | 2018-11-08 | 2019-04-05 | Oppo广东移动通信有限公司 | Fingerprint identification method and relevant apparatus |
| CN110109606B (en) * | 2019-04-30 | 2021-02-26 | 维沃移动通信有限公司 | Unlocking method and mobile terminal |
| CN110175446A (en) * | 2019-05-31 | 2019-08-27 | Oppo广东移动通信有限公司 | Personal identification method and relevant apparatus |
| CN110298191A (en) * | 2019-06-03 | 2019-10-01 | Oppo广东移动通信有限公司 | Information processing method and Related product |
| CN110838196B (en) * | 2019-11-11 | 2020-12-15 | 珠海格力电器股份有限公司 | Intelligent door lock control method, intelligent door lock control system and intelligent door lock |
| CN112448955B (en) * | 2020-11-26 | 2022-04-29 | 陈洋 | Identity recognition method and device based on network security |
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| US20060222210A1 (en) * | 2005-03-31 | 2006-10-05 | Hitachi, Ltd. | System, method and computer program product for determining whether to accept a subject for enrollment |
| KR101092303B1 (en) * | 2009-05-26 | 2011-12-13 | 주식회사 유니온커뮤니티 | Fingerprint Recognition Apparatus and Fingerprint Data Acquiring Method |
| CN105631283B (en) * | 2015-07-31 | 2019-03-26 | 宇龙计算机通信科技(深圳)有限公司 | One kind being based on biological characteristic self-learning method and mobile terminal |
| CN106022066B (en) * | 2016-05-30 | 2019-04-23 | Oppo广东移动通信有限公司 | A kind of unlocking method and terminal of terminal |
| CN106096361A (en) * | 2016-05-31 | 2016-11-09 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint method and mobile terminal |
| CN106446652A (en) * | 2016-09-13 | 2017-02-22 | 青岛海信移动通信技术股份有限公司 | Mobile terminal unlocking method and mobile terminal unlocking device |
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