CN112800984B - Information processing method and device - Google Patents
Information processing method and device Download PDFInfo
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- CN112800984B CN112800984B CN202110139441.XA CN202110139441A CN112800984B CN 112800984 B CN112800984 B CN 112800984B CN 202110139441 A CN202110139441 A CN 202110139441A CN 112800984 B CN112800984 B CN 112800984B
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
- G06F21/36—User authentication by graphic or iconic representation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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Abstract
The embodiment of the application provides an information processing method, an information processing device, information processing equipment and a storage medium, wherein the method comprises the following steps: obtaining an input operation for a fingerprint acquisition area; processing the acquisition signals corresponding to the input operation to generate a characteristic image; identifying the characteristic image to determine whether an identity identification condition is met; wherein, the processing the acquired signals corresponding to the input operation, generating the characteristic image includes: if the input operation is a contact operation, processing acquisition signals corresponding to the contact operation according to a first working mode, and generating the characteristic image; if the input operation is a pressing operation, processing acquisition signals corresponding to the pressing operation according to a second working mode, and generating the characteristic image; the gain value of the second working mode is smaller than that of the first working mode.
Description
Technical Field
The application relates to a fingerprint unlocking technology, and relates to an information processing method and device.
Background
Among the related fingerprint unlocking technologies, fingerprint unlocking includes pressing fingerprint unlocking and touching fingerprint unlocking, wherein, pressing fingerprint unlocking is about 5% lower than the rejection rate (False Rejection Rate, FRR) of ordinary touching unlocking, therefore, improving the FRR of pressing fingerprint unlocking is the technical problem that needs to be solved urgently.
Disclosure of Invention
The embodiment of the application aims to provide an information processing method, an information processing device, information processing equipment and a computer storage medium.
In a first aspect, an embodiment of the present application provides an information processing method, including:
Obtaining an input operation for a fingerprint acquisition area;
processing the acquisition signals corresponding to the input operation to generate a characteristic image;
identifying the characteristic image to determine whether an identity identification condition is met; wherein,
The processing the acquisition signals corresponding to the input operation, and generating the characteristic image comprises the following steps:
If the input operation is a contact operation, processing acquisition signals corresponding to the contact operation according to a first working mode, and generating the characteristic image;
If the input operation is a pressing operation, processing acquisition signals corresponding to the pressing operation according to a second working mode, and generating the characteristic image; the gain value of the second working mode is smaller than that of the first working mode.
In a second aspect, an embodiment of the present application provides an information processing apparatus, including:
the acquisition module is used for acquiring input operation aiming at the fingerprint acquisition area;
The processing module is used for processing the acquisition signals corresponding to the input operation and generating a characteristic image;
the determining module is used for identifying the characteristic image and determining whether the identity recognition condition is met or not; wherein,
The processing module is used for processing acquisition signals corresponding to the contact operation according to a first working mode to generate the characteristic image if the input operation is the contact operation; if the input operation is a pressing operation, processing acquisition signals corresponding to the pressing operation according to a second working mode, and generating the characteristic image; the gain value of the second working mode is smaller than that of the first working mode.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, including: memory and processor
The memory is used for storing executable instructions;
The processor is configured to implement any one of the information processing methods described above when executing the executable instructions stored in the memory.
In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium storing executable instructions for implementing the information processing method according to any one of the above when the executable instructions are executed by a processor.
In the embodiment of the application, an input operation aiming at a fingerprint acquisition area is obtained, acquisition signals corresponding to the input operation are processed, and a characteristic image is generated; and identifying the characteristic image to determine whether the identity recognition condition is met or not, wherein when the input operation is the contact operation, the acquired signals corresponding to the input operation are processed according to the first working mode, when the input operation is the pressing operation, the acquired signals corresponding to the input operation are processed according to the second working mode, and the gain value of the second working mode is smaller than that of the first working mode, namely, for different input operations, the acquired signals corresponding to the input operation are processed according to different gain values, so that the generated characteristic image can meet the identity recognition condition more, fingerprint unlocking is realized, and the FRR of fingerprint unlocking is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1A is a fingerprint image of a touch unlock in the related art;
FIG. 1B is a fingerprint image of a press unlock in the related art;
FIG. 2 is a flowchart of a related art fingerprint unlocking method;
FIG. 3 is a flowchart illustrating an implementation of an information processing method according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating another implementation of an information processing method according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating another implementation method of an information processing method according to an embodiment of the present application;
FIG. 6 is a flowchart illustrating another implementation of an information processing method according to an embodiment of the present application;
FIG. 7 is a flowchart illustrating an implementation of a further information processing method according to an embodiment of the present application;
Fig. 8 is a flowchart of an implementation of an information processing method for fingerprint unlocking according to an embodiment of the present application;
fig. 9 is a schematic diagram of a composition structure of an information processing apparatus according to an embodiment of the present application;
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples. It is to be understood that the examples provided herein are for the purpose of illustration only and are not intended to limit the application. In addition, the embodiments provided below are some of the embodiments for carrying out the present application, but not all of the embodiments for carrying out the present application, and the technical solutions described in the embodiments of the present application may be implemented in any combination without conflict.
It should be noted that, in the embodiments of the present application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a method 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 method or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other related elements in a method or apparatus comprising the element (e.g., a step in a method or an element in an apparatus, e.g., an element may be part of a circuit, part of a processor, part of a program or software, etc.).
The term "and/or" is herein merely one association relationship describing an associated object, meaning that there may be three relationships, e.g., U and/or W, may represent: there are three cases where U alone exists, U and W together, and W alone exists. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of U, W, V, may mean including any one or more elements selected from the group consisting of U, W and V.
In the related art, the gray scale values of the touch unlocked fingerprint picture and the press unlocked fingerprint picture of the same user are different, and the touch unlocked fingerprint picture is shown in fig. 1A; referring to fig. 1B, as shown in fig. 1A and 1B, the gray scale value of the press-unlock fingerprint picture is significantly higher than that of the touch-unlock fingerprint picture.
The side fingerprint with the pressing unlocking function becomes the main stream of the market, but the rejection rate is reduced by about 5% compared with the rejection rate of the common touch unlocking FRR when the pressing unlocking is carried out, and the analysis reason is related to the fingerprint image change of the pressing unlocking, wherein FRR=NFR/NGRA, and NFR represents the number of false refuses; NGRA denotes the total number of tests within a class (total number of match successes).
Fig. 2 is a flowchart of an implementation of a fingerprint unlocking method in the related art, as shown in fig. 2, where the flowchart includes:
step S201: registering a touch fingerprint;
here, the touch fingerprint registration may be a touch fingerprint registration performed through a user fingerprint information input operation, and a fingerprint image database is established.
Step S202: pressing and unlocking;
it can be understood that the pressing and unlocking can be that a user inputs fingerprint pressing operation to a fingerprint identification area in the fingerprint unlocking device to obtain a fingerprint image;
Step S203: processing the fingerprint image through the fingerprint parameters which are the same as the fingerprint unlocking of the touch, and obtaining a processed target fingerprint image;
step S204: fingerprint unlocking is carried out based on the target fingerprint image;
step S205: the fingerprint unlock fails.
The difference between the target fingerprint image obtained through processing according to the fingerprint parameters identical to the fingerprint unlocking of the touch fingerprint and the registered fingerprint image stored in the fingerprint database is large, so that the fingerprint unlocking failure of the user who should be successfully unlocked is caused, and the FRR of the fingerprint unlocking is low.
Based on the above technical problems, an embodiment of the present application provides an information processing method, which may be applied to a fingerprint unlocking device, referring to fig. 3, where an implementation flow of the information processing method includes:
Step S301: obtaining an input operation for a fingerprint acquisition area;
it will be appreciated that the fingerprint acquisition area may refer to a touch area preset in the fingerprint unlocking device for acquiring a fingerprint. Here, the fingerprint unlocking device may be a mobile phone terminal, a server, a fingerprint electronic lock, or the like.
In one example, the input operation may be a fingerprint touch operation or a fingerprint press operation, and is not particularly limited herein.
In one possible embodiment, the obtaining of the input operation for the fingerprint acquisition area may be an input operation by a user performing a finger touch or press at the fingerprint acquisition area, and the fingerprint unlocking device obtains the input operation for the fingerprint acquisition area.
Step S302: processing the acquisition signals corresponding to the input operation to generate a characteristic image;
Here, the acquisition signal may be an analog signal; the collected signal corresponding to the input operation can be a fingerprint image corresponding to the fingerprint touch operation or the fingerprint pressing operation; correspondingly, the acquisition signal can be an input fingerprint image corresponding to the input operation; the feature image may be a digital signal and in one example, the feature image may be a grayscale image corresponding to the fingerprint image.
In some possible embodiments, the processing the acquired signal corresponding to the input operation to generate the feature image may be adjusting a pixel value or a gray level value of each pixel point in the acquired signal corresponding to the input operation to obtain a fingerprint image with the adjusted pixel value or gray level value, and determining the fingerprint image with the adjusted pixel value or gray level value as the feature image.
It will be appreciated that for black and white images, the pixel values and gray scale values are the same.
Step S303: identifying the characteristic image to determine whether an identity identification condition is met;
Here, the identification condition may be that the matching rate of the feature image and the template image in the registered fingerprint image library reaches a matching threshold, for example, the matching threshold may be any of 60% to 100%.
In a possible implementation manner, the feature image is identified to determine whether the identity recognition condition is met, which may be based on whether a template image with the matching rate of the feature image being greater than a matching threshold exists in a registered fingerprint image library.
It will be appreciated that the template image may be an image corresponding to the enrolled fingerprint template. And under the condition that the identity recognition condition is met, unlocking the operation authority corresponding to the registered fingerprint template. Here, registering the operation right corresponding to the fingerprint template may include: payment unlocking operation authority, terminal interface unlocking operation authority, application unlocking operation authority and the like.
Wherein, the processing the acquired signals corresponding to the input operation, generating the characteristic image includes:
step S3021: if the input operation is a contact operation, processing acquisition signals corresponding to the contact operation according to a first working mode, and generating the characteristic image;
In one example, the touch operation may be a touch operation of the user on the fingerprint collection area, and of course, the touch operation may have a certain pressure, but the pressure value of the touch operation may not be such that the touch switch of the fingerprint sensor triggers or the pressure value of the touch operation is smaller than the pressure threshold, where the touch operation is considered to be a touch operation.
It is understood that the first operation mode may refer to a mode of amplifying the acquisition signal corresponding to the touch operation according to a preset amplification factor of the first gray-scale value. Here, the magnification of the first gray-scale value may be a gain value of the first operation mode.
In some possible embodiments, if the input operation is a touch operation, processing an acquisition signal corresponding to the touch operation according to a first working mode to generate the feature image, or if it is determined that the input operation is the touch operation, amplifying a pixel value or a gray scale value of each pixel in the acquisition signal corresponding to the touch operation according to a gain value corresponding to the first working mode to obtain a fingerprint image with amplified pixel values or gray scale values, and determining the fingerprint image with amplified pixel values or gray scale values as the feature image.
Step S3022: if the input operation is a pressing operation, processing acquisition signals corresponding to the pressing operation according to a second working mode, and generating the characteristic image; the gain value of the second working mode is smaller than that of the first working mode.
In one example, the pressing operation may be a touch operation of the fingerprint acquisition area by the user, of course, the touch operation may have a relatively large pressure, and the pressure value may trigger a touch switch of the fingerprint sensor or be larger than the pressure threshold, where the touch operation is considered to be the pressing operation.
It can be understood that the second operation mode may be a mode of amplifying the acquisition signal corresponding to the touch operation by a magnification factor of a second gray scale value corresponding to the second operation mode determined according to a preset rule. Here, the magnification of the second gray-scale value may be a gain value of the second operation mode.
In a possible implementation manner, if the input operation is a pressing operation, the acquired signals corresponding to the pressing operation are processed according to the second working mode to generate the feature image, and if it is determined that the input operation is the pressing operation, the pixel value or the gray scale value of each pixel in the acquired signals corresponding to the pressing operation is amplified according to the gain value corresponding to the second working mode to obtain a fingerprint image with the amplified pixel value or gray scale value, and the fingerprint image with the amplified pixel value or gray scale value is determined to be the feature image.
In practical applications, the steps S301 to S303 may be implemented by a Processor in the information processing apparatus, and the Processor may be at least one of an Application SPECIFIC INTEGRATED Circuit (ASIC), a digital signal Processor (DIGITAL SIGNAL Processor, DSP), a digital signal processing device (DIGITAL SIGNAL Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), an FPGA, a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor.
In the embodiment of the application, an input operation aiming at a fingerprint acquisition area is obtained, an acquisition signal corresponding to the input operation is processed, and a characteristic image is generated; and identifying the characteristic image to determine whether the identity recognition condition is met or not, wherein when the input operation is the contact operation, the acquired signals corresponding to the input operation are processed according to the first working mode, when the input operation is the pressing operation, the acquired signals corresponding to the input operation are processed according to the second working mode, and the gain value of the second working mode is smaller than that of the first working mode, namely, for different input operations, the acquired signals corresponding to the input operation are processed according to different gain values, so that the generated characteristic image can meet the identity recognition condition more, fingerprint unlocking is realized, and the FRR of fingerprint unlocking is improved.
Fig. 4 is a schematic flow chart of another implementation of an information processing method according to an embodiment of the present application, as shown in fig. 4, where the flow chart includes:
Step S401: acquiring acquisition signals corresponding to the input operation through a fingerprint sensor;
It is understood that the fingerprint sensor is disposed in the fingerprint collection area to collect fingerprint input information corresponding to an input operation on the fingerprint collection area.
In one possible implementation manner, the fingerprint sensor is used for acquiring the acquired signal corresponding to the input operation, which may be that a user performs the fingerprint input operation in a fingerprint acquisition area, and the fingerprint sensor in the fingerprint acquisition area senses the input of the fingerprint input operation, so as to obtain a fingerprint image corresponding to the fingerprint input operation.
Step S402: determining whether the input operation is a pressing operation or a contact operation according to the acquisition signal;
it will be appreciated that before determining whether the input operation is a press operation or a touch operation based on the acquisition signal, it is necessary to determine an average pixel value of the acquisition signal and then acquire an average pixel value range corresponding to the touch operation and the press operation. Here, the average pixel value range corresponding to the touch operation and the average pixel value range corresponding to the pressing operation are different, and the average pixel value range corresponding to the touch operation covers the maximum range of possible average pixel values of the acquisition signal corresponding to the touch operation; the average pixel range corresponding to the pressing operation covers the maximum range of possible average pixel values of the acquisition signal corresponding to the pressing operation.
In some possible embodiments, determining whether the input operation is a pressing operation or a contact operation according to the acquired signal, and determining whether the average pixel value of the acquired signal is within the average pixel value range corresponding to the contact operation or within the average pixel value range corresponding to the pressing operation according to the average pixel value of the acquired signal, where the input operation is a contact operation when the average pixel value of the acquired signal is within the average pixel value range corresponding to the contact operation; in the case where the average pixel value of the acquisition signal is within the average pixel value range corresponding to the pressing operation, it is determined that the input operation is the pressing operation.
Step S403: if the input operation is a contact operation, processing acquisition signals corresponding to the contact operation according to a first working mode, and generating the characteristic image;
Step S404: determining a gain value of the second operation mode based on the gain value of the first operation mode if the input operation is a press operation;
In a possible implementation manner, if the input operation is a pressing operation, the gain value of the second working mode is determined based on the gain value of the first working mode, and if the input operation is a pressing operation, the gain value of the first working mode is reduced by a specific multiple according to a preset rule, and the gain value after being reduced by the specific multiple is determined as the gain value of the second working mode.
It is to be understood that the specific multiple may be related to the acquisition signal corresponding to the input operation, or may be unrelated to the acquisition signal corresponding to the input operation, so long as the specific multiple is within a specific multiple range, which is not particularly limited herein.
Step S405: processing the acquisition signals corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;
In one possible implementation manner, the acquired signals corresponding to the pressing operation are processed according to the gain value of the second working mode, the feature image is generated, the pixel value or the gray scale value of each pixel of the acquired signals corresponding to the pressing operation is amplified by the gain value of the second working mode, the acquired signals (fingerprint images) with amplified pixel values are obtained, and the acquired signals with amplified pixel values are determined to be the feature image.
Step S406: and identifying the characteristic image to determine whether the identity condition is met.
In the embodiment of the application, the input operation is determined to be the pressing operation or the contact operation by the acquisition signal obtained by the fingerprint sensor, and the input operation is determined to be the pressing operation or the contact operation directly according to the acquisition signal, so that the implementation is convenient; under the condition that the input operation is a pressing operation, processing an acquisition signal corresponding to the pressing operation based on a gain value of a second working mode determined according to a gain value of a first working mode to generate a characteristic image, wherein the obtained characteristic image can meet the identification condition, fingerprint unlocking is achieved, and FRR of fingerprint unlocking is improved.
In a possible implementation manner, a feature image generated by processing the acquired signal corresponding to the pressing operation according to the gain value of the second working mode can be used for matching with a template image corresponding to the identification condition.
Fig. 5 is a schematic flow chart of an implementation of another information processing method according to an embodiment of the present application, as shown in fig. 5, where the flow includes:
step S501: acquiring a corresponding trigger signal of the input operation on a touch switch of the fingerprint sensor;
It is understood that the touch switch of the fingerprint sensor may refer to a power button integrated with the fingerprint acquisition area. The trigger signal corresponding to the input operation may include a digital 1 signal and a digital 0 signal, where the digital 1 signal indicates that the trigger signal on the touch switch of the fingerprint sensor is triggered by the touch switch, and the digital 0 signal indicates that the trigger signal on the touch switch of the fingerprint sensor is not triggered by the touch switch.
Step S502: if the trigger signal characterizes the trigger of the touch switch, determining that the input operation is a pressing operation;
In one example, if the trigger signal characterizes the touch switch trigger, the input operation is determined to be a pressing operation, which may be determined to be a pressing operation if the trigger signal characterizes the touch switch trigger, i.e. if the pressure value of the input operation enables the touch switch to be closed.
Step S503: if the trigger signal indicates that the touch switch is not triggered, determining that the input operation is a contact operation;
In one example, if the trigger signal indicates that the touch switch is not triggered, the input operation is determined to be a contact operation, where the trigger signal indicates that the touch switch is not triggered, that is, where a pressure value of the input operation cannot cause the touch switch to be closed and the touch switch is opened, the input operation is determined to be a contact operation.
Step S504: if the input operation is a contact operation, processing acquisition signals corresponding to the contact operation according to a first working mode, and generating the characteristic image;
step S505: if the input operation is a pressing operation, acquiring a gain value of the first working mode and a modification proportion numerical range of the gain value of the first working mode; the modified proportion value range is 5% to 60%;
it will be appreciated that the modified scale value range may be determined empirically or experimentally.
Step S506: modifying the gain value of the first working mode according to any modification proportion value in the modification proportion value range to obtain the gain value of the second working mode;
in a possible implementation manner, the gain value of the first working mode is modified according to any modification proportion value in the modification proportion value range to obtain the gain value of the second working mode, any modification proportion value is selected from the modification proportion value range from 5% to 60%, the gain value of the first working mode is reduced by a corresponding multiple according to any determined modification proportion value to obtain a reduced gain value, and the reduced gain value is determined to be the gain value of the second working mode.
Step S507: processing the acquisition signals corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;
step S508: and identifying the characteristic image to determine whether the identity condition is met.
In the embodiment of the application, whether the input operation is the pressing operation or the contact operation can be determined through the state of the touch switch of the fingerprint sensor; the gain value of the first working mode can be correspondingly reduced by modifying the modification proportion in the numerical range of the modification proportion, so that the characteristic image obtained by processing the gain value of the second working mode obtained after the reduction can meet the condition of identity identification, fingerprint unlocking is realized, and the FRR of fingerprint unlocking is improved.
Fig. 6 is a schematic diagram of an implementation flow of another information processing method according to an embodiment of the present application, as shown in fig. 6, where the flow includes:
step S601: collecting pressure parameters of the input operation through a pressure sensor;
It will be appreciated that the pressure sensor may be a sensor located at a power button location integrated with the fingerprint acquisition area, and that the pressure sensor may sense a pressure parameter corresponding to an input operation of the fingerprint acquisition area when the input operation is pressurized. Here, the pressure parameter may be a pressure value.
In one possible embodiment, the pressure sensor is configured to collect the pressure parameter of the input operation, and the pressure sensor is configured to sense the pressure value of the input operation.
Step S602: determining that the input operation is a touch operation if the pressure parameter is less than a pressure threshold;
It is understood that the pressure threshold may be a preset pressure threshold. In one example, the pressure threshold is determined by the manufacturer of the power key, the power key is pressed in an input operation greater than or equal to the pressure threshold, and the power key is not pressed in an input operation less than the pressure threshold.
Step S603: if the pressure parameter is greater than or equal to the pressure threshold, determining that the input operation is a pressing operation;
Step S604: if the input operation is a contact operation, processing acquisition signals corresponding to the contact operation according to a first working mode, and generating the characteristic image;
step S605: if the input operation is a pressing operation, determining a pixel value difference value, wherein the pixel value difference value represents a difference value between an average pixel value of an acquisition signal corresponding to the input operation and an average pixel value set by a template image;
It is understood that the average pixel value corresponding to the touch fingerprint image is different from the average pixel value corresponding to the press fingerprint image, where the average pixel value set by the template image may be the average pixel value corresponding to the touch fingerprint image, specifically, the average pixel value set by the template image refers to the average pixel value determined according to the average pixel value corresponding to the registered fingerprint image when fingerprint registration is performed.
Step S606: inquiring a first mapping table established in advance based on the pixel value difference value to obtain a modification proportion of the gain value of the first working mode; the first mapping table is used for representing the corresponding relation between the pixel value difference value and the modification proportion of the gain value of the first working mode;
it will be appreciated that the first mapping table may be used to characterize the correspondence between the pixel value difference range and the modified scale of gain values for the first mode of operation.
Step S607: modifying the gain value of the first working mode according to the modification proportion of the gain value of the first working mode to obtain the gain value of the second working mode;
In one possible implementation manner, the gain value of the first working mode is modified according to the modification proportion of the gain value of the first working mode to obtain the gain value of the second working mode, the gain value of the first working mode may be reduced according to the modification proportion of the gain value of the first working mode to obtain the reduced gain value, and the reduced gain value is determined to be the gain value of the second working mode.
Step S608: processing the acquisition signals corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;
step S609: and identifying the characteristic image to determine whether the identity condition is met.
In the embodiment of the application, a pressure sensor is used for collecting pressure parameters of input operation, and if the pressure parameters are smaller than a pressure threshold value, the input operation is determined to be contact operation; if the pressure parameter is greater than or equal to the pressure threshold, the input operation is determined to be a pressing operation, so that whether the input operation is a contact operation or a pressing operation can be accurately determined according to the input operation of the user. The first mapping table is queried through the pixel value difference value, the modification proportion of the gain value of the first working mode can be obtained, and the gain value of the second working mode is obtained, the gain value of the second working mode is determined according to the pixel value difference value determined by the average pixel value of the acquisition signals corresponding to the input operation, so that the probability of meeting the identification condition is higher, fingerprint unlocking is realized, and the FRR of fingerprint unlocking is improved.
Fig. 7 is a schematic diagram of an implementation flow of another information processing method according to an embodiment of the present application, as shown in fig. 7, where the flow includes:
step S701: obtaining an input operation for a fingerprint acquisition area;
Step S702: if the input operation is a contact operation, processing acquisition signals corresponding to the contact operation according to a first working mode, and generating the characteristic image;
Step S703: if the input operation is a pressing operation, inquiring a second mapping table established in advance based on the average pixel value of the acquisition signal corresponding to the input operation to obtain a modification proportion of the gain value of the first working mode; the second mapping table is used for representing the corresponding relation between the average pixel value and the modification proportion of the gain value of the first working mode;
it will be appreciated that the second mapping table may be used to characterize the correspondence between the range of average pixel values and the modified scale of gain values for the first mode of operation.
Step S704: modifying the gain value of the first working mode according to the modification proportion of the gain value of the first working mode to obtain the gain value of the second working mode;
Step S705: processing the acquisition signals corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;
step S706: and identifying the characteristic image to determine whether the identity condition is met.
In the embodiment of the application, the mode of determining the modification proportion of the gain value of the first working mode is based on the average pixel value of the acquired signal corresponding to the input operation, and the second mapping table established in advance is queried, namely, the gain value of the second working mode is determined according to the average pixel value of the acquired signal corresponding to the input operation, so that the probability of meeting the identity recognition condition is higher, fingerprint unlocking is realized, and the FRR of fingerprint unlocking is improved.
In the embodiment of the application, different pressing modes can be detected through software, and different gain parameters are adapted to reduce the influence of finger fingerprint change. Here, the different pressing modes refer to both touch and pressing modes. Specifically, when the software recognizes that the pressed fingerprint is unlocked, the fingerprint software is informed of updating the gain parameter, and the obtained signal gain is reduced by 10-50%, so that the difference between the fingerprint image and the fingerprint image in registration is reduced, and the FRR performance is improved.
Fig. 8 is a flowchart of an implementation of an information processing method for fingerprint unlocking according to an embodiment of the present application, as shown in fig. 8, where the method includes:
Step S801: based on a pre-established fingerprint database, the software acquires acquisition information, pressure value information and/or trigger signals corresponding to the finger input operation, determines whether the finger input operation is touch fingerprint unlocking or press fingerprint unlocking according to the acquisition information, the pressure value information and/or the trigger signals, and if the finger input operation is touch fingerprint unlocking, the step S802 is entered, and if the finger input operation is press fingerprint unlocking, the step S803 is entered;
step S802: according to the original fingerprint gain parameters, fingerprint matching is carried out on fingerprint images of finger input operation, and unlocking is carried out when the fingerprint matching is successful;
Step S803: the software informs fingerprint software that finger input operation is to press fingerprint unlocking;
step S804: the fingerprint software determines the reduction ratio of the fingerprint gain parameter from a preset reduction ratio range of the gain parameter, determines the target fingerprint gain parameter according to the reduction ratio of the fingerprint gain parameter, and updates the fingerprint gain parameter into the target fingerprint gain parameter;
Step S805: modifying the gray scale value of each pixel in the fingerprint image according to the target fingerprint gain parameter to obtain a target fingerprint image;
Step S806: and carrying out fingerprint matching on registered fingerprint images in a pre-established fingerprint database through the target fingerprint image, and unlocking when the fingerprints are matched.
Based on the foregoing embodiments, an embodiment of the present application provides an information processing apparatus, where the apparatus includes units included, and modules included in the units may be implemented by a processor in an electronic device; of course, the method can also be realized by a specific logic circuit; in an implementation, the processor may be a Central Processing Unit (CPU), a microprocessor (Microprocessor Unit, MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like.
Fig. 9 is a schematic diagram of an information processing apparatus according to an embodiment of the present application, and as shown in fig. 9, an information processing apparatus 900 includes:
An obtaining module 901, configured to obtain an input operation for a fingerprint acquisition area;
The processing module 902 is configured to process the acquired signal corresponding to the input operation, and generate a feature image;
A determining module 903, configured to identify the feature image to determine whether an identity condition is satisfied; wherein,
The processing module 902 is configured to process, if the input operation is a contact operation, an acquisition signal corresponding to the contact operation according to a first working mode, and generate the feature image; if the input operation is a pressing operation, processing acquisition signals corresponding to the pressing operation according to a second working mode, and generating the characteristic image; the gain value of the second working mode is smaller than that of the first working mode.
In some embodiments, the feature image generated by processing the acquired signal corresponding to the pressing operation according to the gain value of the second working mode can be used for matching with the template image corresponding to the identification condition.
In some embodiments, the obtaining module 901 is configured to obtain, by using a fingerprint sensor, an acquisition signal corresponding to the input operation; and determining whether the input operation is a pressing operation or a contact operation according to the acquired signals.
In some embodiments, the obtaining module 901 is configured to obtain a trigger signal corresponding to the input operation on a touch switch of the fingerprint sensor; if the trigger signal characterizes the trigger of the touch switch, determining that the input operation is a pressing operation; and if the trigger signal indicates that the touch switch is not triggered, determining that the input operation is a contact operation.
In some embodiments, the obtaining module 901 is configured to collect, by using a pressure sensor, a pressure parameter corresponding to the input operation; determining that the input operation is a touch operation if the pressure parameter is less than a pressure threshold; and if the pressure parameter is greater than or equal to the pressure threshold, determining that the input operation is a pressing operation.
In some embodiments, the processing module 902 is configured to determine, if the input operation is a press operation, a gain value for the second operation mode based on the gain value for the first operation mode; and processing the acquisition signals corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image.
In some embodiments, the processing module 902 is configured to obtain the gain value of the first operation mode and a modified proportional numerical range of the gain value of the first operation mode if the input operation is a pressing operation; the modified proportion value range is 5% to 60%; and modifying the gain value of the first working mode according to any modification proportion value in the modification proportion value range to obtain the gain value of the second working mode.
In some embodiments, the processing module 902 is configured to determine, if the input operation is a pressing operation, a pixel value difference value, where the pixel value difference value represents a difference value between an average pixel value of the acquired signal corresponding to the input operation and an average pixel value set by the template image; inquiring a first mapping table established in advance based on the pixel value difference value to obtain a modification proportion of the gain value of the first working mode; the first mapping table is used for representing the corresponding relation between the pixel value difference value and the modification proportion of the gain value of the first working mode; and modifying the gain value of the first working mode according to the modification proportion of the gain value of the first working mode to obtain the gain value of the second working mode.
In some embodiments, the processing module 902 is configured to query a second mapping table established in advance based on an average pixel value of the acquired signal corresponding to the input operation if the input operation is a pressing operation, to obtain a modification ratio of the gain value of the first working mode; the second mapping table is used for representing the corresponding relation between the average pixel value and the modification proportion of the gain value of the first working mode; and modifying the gain value of the first working mode according to the modification proportion of the gain value of the first working mode to obtain the gain value of the second working mode.
In practical applications, the obtaining module 901, the processing module 902 and the determining module 903 may be implemented by a processor in the information processing apparatus, where the processor may be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, a controller, a microcontroller and a microprocessor.
The description of the apparatus embodiments above is similar to that of the method embodiments above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the apparatus of the present application, please refer to the description of the embodiments of the method of the present application.
In addition, each functional module in the present embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional modules.
The integrated units, if implemented in the form of software functional modules, may be stored in a computer-readable storage medium, if not sold or used as separate products, and based on such understanding, the technical solution of the present embodiment may be embodied essentially or partly in the form of a software product, or all or part of the technical solution may be embodied in a storage medium, including instructions to cause an electronic device (which may be a personal computer, a server, or a network device, etc.) or processor (processor) to perform all or part of the steps of the method described in the present embodiment. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Generally, the computer program instructions corresponding to one information processing method in this embodiment may be stored on a storage medium such as an optical disc, a hard disc, or a usb disk, and when the computer program instructions corresponding to one information processing method in the storage medium are read or executed by an information processing apparatus, any one of the information processing methods in the foregoing embodiments is implemented.
Based on the same technical concept as the foregoing embodiments, referring to fig. 10, a schematic structural diagram of an electronic device 1000 according to an embodiment of the present application may include: a memory 1001 and a processor 1002; wherein,
The memory 1001 is used for storing computer programs and data;
the processor 1002 is configured to execute a computer program stored in the memory, to implement any one of the information processing methods of the foregoing embodiments.
In practical applications, the memory 1001 may be a volatile memory (RAM); or a non-volatile memory (non-volatile memory), such as ROM, flash memory (flash memory), hard disk (HARD DISK DRIVE, HDD) or Solid state disk (Solid-state-STATE DRIVE, SSD); or a combination of the above types of memory and provides instructions and data to the processor 1002.
The processor 1002 may be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic device for implementing the above-described processor function may also be other for different augmented reality cloud platforms, and embodiments of the present application are not limited thereto.
The foregoing description of various embodiments is intended to emphasize the differences between the various embodiments, and the same or similar features thereof may be referred to each other for brevity and will not be repeated herein
The methods disclosed in the method embodiments provided by the application can be arbitrarily combined under the condition of no conflict to obtain a new method embodiment.
The features disclosed in the embodiments of the products provided by the application can be combined arbitrarily under the condition of no conflict to obtain new embodiments of the products.
The features disclosed in the embodiments of the method or the device provided by the application can be arbitrarily combined under the condition of no conflict to obtain a new embodiment of the method or the device.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The examples of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are all within the protection of the present application.
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| KR102552312B1 (en) * | 2016-10-11 | 2023-07-07 | 삼성전자 주식회사 | Electronic device having multiple fingerprint sensing mode and method for controlling the same |
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