CN112800984A - Information processing method and device - Google Patents

Abstract

The embodiments of the present application provide an information processing method, device, device, and storage medium. The method includes: obtaining an input operation for a fingerprint collection area; processing a collection signal corresponding to the input operation to generate a characteristic image; The characteristic image determines whether the identification conditions are met; wherein, the processing of the acquisition signal corresponding to the input operation to generate the characteristic image includes: if the input operation is a contact operation, processing the acquisition corresponding to the contact operation according to the first working mode signal to generate the characteristic image; if the input operation is a pressing operation, process the acquired signal corresponding to the pressing operation according to the second working mode to generate the characteristic image; the gain value of the second working mode is smaller than the Gain value for the first operating mode.

Description

An information processing method and device

technical field

The present application relates to fingerprint unlocking technology, and relates to, but is not limited to, an information processing method and device.

Background technique

Among the related fingerprint unlocking technologies, fingerprint unlocking includes pressing fingerprint unlocking and touch fingerprint unlocking. Among them, the False Rejection Rate (FRR) of pressing fingerprint unlocking is about 5% lower than that of ordinary touch unlocking. Therefore, the FRR of pressing fingerprint unlocking is improved. It is an urgent technical problem to be solved.

SUMMARY OF THE INVENTION

The embodiments of the present application are expected to provide an information processing method, apparatus, device, and computer storage medium.

In a first aspect, an embodiment of the present application provides an information processing method, the method comprising:

Obtain the input operation for the fingerprint collection area;

processing the acquisition signal corresponding to the input operation to generate a characteristic image;

Identifying the feature image to determine whether the identification conditions are met; wherein,

The processing of the acquisition signal corresponding to the input operation to generate the characteristic image includes:

If the input operation is a contact operation, processing the acquisition signal corresponding to the contact operation according to the first working mode to generate the characteristic image;

If the input operation is a pressing operation, the acquired signal corresponding to the pressing operation is processed according to the second working mode to generate the characteristic image; the gain value of the second working mode is smaller than the gain value of the first working mode.

In a second aspect, an embodiment of the present application provides an information processing apparatus, and the apparatus includes:

an obtaining module for obtaining an input operation for the fingerprint collection area;

a processing module, configured to process the acquisition signal corresponding to the input operation to generate a characteristic image;

A determination module, used for identifying the feature image to determine whether the identification condition is met; wherein,

The processing module is configured to, if the input operation is a contact operation, process the acquisition signal corresponding to the contact operation according to the first working mode, and generate the characteristic image; if the input operation is a pressing operation, according to the second working mode The mode processes the acquisition signal corresponding to the pressing operation to generate the characteristic image; the gain value of the second working mode is smaller than the gain value of the first working mode.

In a third aspect, embodiments disclosed in the present application further provide an electronic device, including: a memory and a processor

the memory for storing executable instructions;

The processor is configured to implement any 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 any of the information processing methods described above when executed by a processor.

In the embodiment of the present application, an input operation for the fingerprint collection area is obtained, a collection signal corresponding to the input operation is processed, and a characteristic image is generated; the characteristic image is identified to determine whether the identification conditions are met, because when the input operation is a contact operation , which processes the acquisition signal corresponding to the input operation according to the first working mode. When the input operation is a pressing operation, the acquisition signal corresponding to the input operation is 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. The gain value of the working mode, that is to say, for different input operations, the collected signals corresponding to the input operations are processed according to different gain values. Therefore, the generated feature image can better meet the identification conditions, realize fingerprint unlocking, and improve the Fingerprint unlocked FRR.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Description of drawings

The accompanying drawings, which are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the description, serve to explain the technical solutions of the present application.

1A is a fingerprint picture of touch unlocking in the related art;

Fig. 1B is the fingerprint picture of pressing and unlocking in the related art;

Fig. 2 is the realization flow chart of fingerprint unlocking method in the related art;

FIG. 3 is an implementation flowchart of an information processing method provided by an embodiment of the present application;

FIG. 4 is an implementation flowchart of another information processing method provided by an embodiment of the present application;

FIG. 5 is an implementation flowchart of another information processing method provided by an embodiment of the present application;

FIG. 6 is an implementation flowchart of still another information processing method provided by an embodiment of the present application;

FIG. 7 is an implementation flowchart of another information processing method provided by an embodiment of the present application;

FIG. 8 is an implementation flowchart of an information processing method for fingerprint unlocking provided by an embodiment of the present application;

FIG. 9 is a schematic diagram of the composition and structure of an information processing apparatus provided by an embodiment of the present application;

FIG. 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the embodiments provided herein are only used to explain the present application, and are not intended to limit the present application. In addition, the embodiments provided below are only some of the embodiments for implementing the present application, rather than all the embodiments for implementing the present application. In the case of no conflict, the technical solutions described in the embodiments of the present application can be combined arbitrarily. implement.

It should be noted that, in the embodiments of the present application, the terms "comprising", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a method or device including a series of elements not only includes the explicitly stated elements, but also other elements not expressly listed or inherent to the implementation of the method or apparatus. Without further limitation, an element defined by the phrase "comprises a..." does not preclude the presence of additional related elements (eg, steps in a method or a device) in which the element is included. A unit in an apparatus, for example, a unit may be part of a circuit, part of a processor, part of a program or software, etc.).

The term "and/or" in this article is only an association relationship to describe associated objects, indicating that there can be three kinds of relationships, for example, U and/or W, which can mean: U exists alone, U and W exist simultaneously, and U and W exist alone W these three cases. In addition, the term "at least one" herein refers to any combination of any one of the plurality or at least two of the plurality, for example, including at least one of U, W, and V, and can mean including U, W, and V. Any one or more elements selected from the set of W and V.

In the related art, the grayscale values of the fingerprint image of the same user to unlock by touch and the image of the fingerprint to be unlocked by pressing are different, and the fingerprint image of touch unlocking is shown in FIG. 1A ; the fingerprint image of unlocking by pressing is shown in FIG. As shown, the grayscale value of the fingerprint image to be unlocked by pressing is significantly higher than the grayscale value of the fingerprint image to be unlocked by touch.

The side fingerprint with the press-to-unlock function has become the mainstream of the market, but when the press-to-unlock is used, the FRR rejection rate is about 5% lower than that of the ordinary touch-to-unlock. The analysis reason is related to the change of the fingerprint image of the press-to-unlock, where FRR=NFR/ NGRA, NFR represents the number of false rejections; NGRA represents the total number of intra-class tests (total number of successful matches).

Fig. 2 is the realization flow chart of the fingerprint unlocking method in the related art, as shown in Fig. 2, the described flow includes:

Step S201: touch fingerprint registration;

Here, the touch fingerprint registration may be a touch fingerprint registration through a user's fingerprint information input operation to establish a fingerprint image database.

Step S202: press to unlock;

It can be understood that, pressing to unlock may be a user inputting a fingerprint pressing operation into the fingerprint recognition area in the fingerprint unlocking device to obtain a fingerprint image;

Step S203: processing the fingerprint image through the same fingerprint parameters as the touch fingerprint unlocking to obtain the processed target fingerprint image;

Step S204: fingerprint unlocking based on the target fingerprint image;

Step S205: The fingerprint unlocking fails.

Due to the large difference between the target fingerprint image processed according to the same fingerprint parameters as the touch fingerprint unlocking and the registered fingerprint image stored in the fingerprint database, the fingerprint unlocking of the user who should have been successfully unlocked will fail, and the FRR of the fingerprint unlocking will fail. lower.

Based on the above technical problems, an embodiment of the present application provides an information processing method, which can be applied to a fingerprint unlocking device. Referring to FIG. 3 , the implementation process of the information processing method includes:

Step S301: obtaining an input operation for the fingerprint collection area;

It can be understood that the fingerprint collection area may refer to a touch area preset in the fingerprint unlocking device for collecting fingerprints. Here, the fingerprint unlocking device may be a mobile phone terminal, a server, a fingerprint electronic lock or the like.

In an example, the input operation may be a fingerprint touch operation or a fingerprint pressing operation, which is not specifically limited here.

In a possible implementation manner, obtaining the input operation for the fingerprint collection area may be an input operation of the user performing finger touch or pressing in the fingerprint collection area, and the fingerprint unlocking apparatus obtains the input operation for the fingerprint collection area.

Step S302: Process the acquisition signal corresponding to the input operation to generate a characteristic image;

Here, the acquisition signal may be an analog signal; the acquisition signal corresponding to the input operation may be a fingerprint image corresponding to a fingerprint touch operation or a fingerprint pressing operation; correspondingly, the acquisition signal may be an input fingerprint image corresponding to the input operation; the characteristic image may be a digital image The signal, in one example, the feature image may be a grayscale image corresponding to the fingerprint image.

In some possible implementations, the acquisition signal corresponding to the input operation is processed to generate a characteristic image, which may be to adjust the pixel value or grayscale value of each pixel in the acquisition signal corresponding to the input operation to obtain a pixel value. The fingerprint image after adjusting the pixel value or the grayscale value is determined as the feature image.

It is understood that for black and white images, the pixel values and grayscale values are the same.

Step S303: Identifying the feature image to determine whether the identification conditions are met;

Here, the identification condition may be that the matching rate between the feature image and the template image in the registered fingerprint image database reaches a matching threshold, for example, the matching threshold may be any percentage from 60% to 100%.

In a possible implementation manner, identifying the feature image to determine whether the identification conditions are met may be based on the feature image and querying the registered fingerprint image database to see if there is a template image whose matching rate with the feature image is greater than a matching threshold.

It can be understood that the template image may be an image corresponding to the registered fingerprint template. When it is determined that the identification conditions are met, the operation authority corresponding to the registered fingerprint template is unlocked. Here, the operation authority corresponding to the registered fingerprint template may include: payment unlock operation authority, terminal interface unlock operation authority, application unlock operation authority, and the like.

Wherein, the processing of the acquisition signal corresponding to the input operation to generate the characteristic image includes:

Step S3021: if the input operation is a contact operation, process the acquisition signal corresponding to the contact operation according to the first working mode, and generate the characteristic image;

In one example, the touch operation may be a user's touch operation on the fingerprint collection area. Of course, the touch operation may have a certain degree of pressure, but the pressure value of the touch operation cannot cause the touch switch of the fingerprint sensor to trigger or When the pressure value existing in the touch operation is less than the pressure threshold, at this time, the touch operation is considered as a touch operation.

It can be understood that the first working mode may refer to a mode of amplifying the collected signal corresponding to the contact operation according to the preset magnification of the first grayscale value. Here, the amplification factor of the first grayscale value may be the gain value of the first working mode.

In some possible implementations, if the input operation is a contact operation, processing the acquired signal corresponding to the contact operation according to the first working mode to generate the characteristic image, which may be when it is determined that the input operation is a contact operation , according to the gain value corresponding to the first working mode, amplify the pixel value or grayscale value of each pixel in the acquisition signal corresponding to the contact operation, and obtain the fingerprint image after the pixel value or grayscale value is amplified. The value-enlarged fingerprint image is determined as a feature image.

Step S3022: If the input operation is a pressing operation, process the collected signal corresponding to the pressing operation according to the second working mode to generate the characteristic image; the gain value of the second working mode is smaller than that of the first working mode. gain value.

In one example, the pressing operation may be a user's touch operation on the fingerprint collection area. Of course, the touch operation may have relatively large pressure, and the existing pressure value may trigger the touch switch of the fingerprint sensor or the existing pressure If the value is greater than the pressure threshold, at this time, the touch operation is considered to be a pressing operation.

It can be understood that the second working mode may be a mode in which the acquired signal corresponding to the contact operation is amplified by the magnification of the second grayscale value corresponding to the second working mode determined according to the preset rule. Here, the magnification of the second grayscale value may be the gain value of the second working mode.

In a possible implementation manner, if the input operation is a pressing operation, the acquisition signal corresponding to the pressing operation is processed according to the second working mode to generate the characteristic image, which may be the case where it is determined that the input operation is a pressing operation Then, according to the gain value corresponding to the second working mode, the pixel value or grayscale value of each pixel in the acquisition signal corresponding to the pressing operation is amplified to obtain the fingerprint image with the amplified pixel value or grayscale value, and the pixel value or grayscale value is amplified. The fingerprint image enlarged by the order value is determined as the feature image.

In practical applications, steps S301 to S303 may be implemented by a processor in an information processing device, and the above-mentioned processor may be an Application Specific Integrated Circuit (ASIC) or a Digital Signal Processor (DSP). , Digital Signal Processing Device (DSPD), Programmable Logic Device (Programmable Logic Device, PLD), FPGA, Central Processing Unit (CPU), controller, microcontroller, microprocessor in at least one.

In the embodiment of the present application, an input operation for the fingerprint collection area is obtained, a collection signal corresponding to the input operation is processed, and a characteristic image is generated; the characteristic image is identified to determine whether the identification conditions are met, because when the input operation is a contact operation, The acquisition signal corresponding to the input operation is processed according to the first working mode. When the input operation is a pressing operation, the acquisition signal corresponding to the input operation is 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. The gain value of the mode, that is to say, for different input operations, the acquisition signal corresponding to the input operation is processed according to different gain values. Therefore, the generated feature image can better meet the identification conditions, realize fingerprint unlocking, and improve fingerprint performance. Unlocked FRR.

FIG. 4 is a schematic diagram of an implementation flow of another information processing method provided by an embodiment of the present application. As shown in FIG. 4 , the flow includes:

Step S401: acquiring a collection signal corresponding to the input operation through fingerprint sensor collection;

It can be understood that the fingerprint sensor is arranged in the fingerprint collection area to collect fingerprint input information corresponding to an input operation on the fingerprint collection area.

In a possible implementation manner, the acquisition signal corresponding to the input operation is acquired by the fingerprint sensor acquisition, which may be that the user performs a fingerprint input operation in the fingerprint acquisition area, and the fingerprint sensor in the fingerprint acquisition area senses the input of the fingerprint input operation. to obtain the fingerprint image corresponding to the fingerprint input operation.

Step S402: Determine whether the input operation is a pressing operation or a contact operation according to the collected signal;

It can be understood that, before determining whether the input operation is a pressing operation or a contact operation according to the acquisition signal, the average pixel value of the acquisition signal needs to be determined first, and then the average pixel value range corresponding to the contact operation and the pressing operation is obtained. 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 collected signal corresponding to the touch operation; pressing The average pixel range corresponding to the operation covers the maximum range of possible average pixel values of the collected signal corresponding to the pressing operation.

In some possible implementations, determining whether the input operation is a pressing operation or a contact operation according to the acquisition signal may be to determine, according to the average pixel value of the acquired signal, that the average pixel value of the acquired signal is within the range of the average pixel value corresponding to the contact operation If the average pixel value of the collected signal is within the range of the average pixel value corresponding to the pressing operation, it is determined that the input operation is a contact operation; if the average pixel value of the collected signal is within the range corresponding to the pressing operation If it is within the range of the average pixel value of , it is determined that the input operation is a pressing operation.

Step S403: if the input operation is a contact operation, process the acquisition signal corresponding to the contact operation according to the first working mode, and generate the characteristic image;

Step S404: if the input operation is a pressing operation, determine the gain value of the second operation mode based on the gain value of the first operation mode;

In a possible implementation manner, if the input operation is a pressing operation, the gain value of the second operating mode is determined based on the gain value of the first operating mode, which may be in the case that the input operation is a pressing operation , reducing the gain value of the first mode by a specific multiple according to a preset rule, and determining the gain value after the specific multiple reduction as the gain value of the second working mode.

It can be understood that the specific multiple may be related to the acquisition signal corresponding to the input operation, or may not be related to the acquisition signal corresponding to the input operation, as long as the specific multiple is within a specific multiple range, which is not specifically limited here.

Step S405: Process the collected signal corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;

In a possible implementation manner, the acquired signal corresponding to the pressing operation is processed according to the gain value of the second working mode to generate the characteristic image, which may be a pixel of each pixel of the acquired signal corresponding to the pressing operation The value or grayscale value is amplified by the gain value of the second working mode, to obtain an acquired signal (fingerprint image) after pixel value amplification, and the acquired signal after pixel value amplification is determined as a characteristic image.

Step S406: Identify the characteristic image to determine whether the identification condition is satisfied.

In the embodiment of the present application, whether the input operation is a pressing operation or a contact operation is determined by the collection signal obtained by the fingerprint sensor, and whether the input operation is a pressing operation or a contact operation can be directly determined according to the collected signal, which is convenient to implement; in the case that the input operation is a pressing operation , based on the gain value of the second working mode determined according to the gain value of the first working mode, the acquisition signal corresponding to the pressing operation is processed, and a characteristic image is generated, and the obtained characteristic image can better meet the identification conditions, realize fingerprint unlocking, and improve fingerprint unlocking. the FRR.

In a possible implementation manner, the characteristic 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.

FIG. 5 is a schematic diagram of an implementation flow of another information processing method provided by an embodiment of the present application. As shown in FIG. 5 , the flow includes:

Step S501: Acquire a trigger signal corresponding to the input operation on the touch switch of the fingerprint sensor;

It can be understood that the touch switch of the fingerprint sensor may refer to a power button integrated with the fingerprint collection area. The trigger signal corresponding to the input operation may include a digital 1 signal and a digital 0 signal, wherein the digital 1 signal indicates that the trigger signal on the touch switch of the fingerprint sensor is a touch switch trigger, and the digital 0 signal indicates that the touch switch of the fingerprint sensor is triggered. The trigger signal is that the touch switch is not triggered.

Step S502: if the trigger signal represents that the touch switch is triggered, determine that the input operation is a pressing operation;

In one example, if the trigger signal represents the trigger of the touch switch, it is determined that the input operation is a pressing operation, which may be when the trigger signal represents the trigger of the touch switch, that is, the pressure value of the input operation can make When the touch switch is closed, it is determined that the input operation is a pressing operation.

Step S503: if the trigger signal indicates that the touch switch is not triggered, determine that the input operation is a contact operation;

In one example, if the trigger signal indicates that the touch switch is not triggered, it is determined that the input operation is a contact operation, which may be the case where the trigger signal indicates that the touch switch is not triggered, that is, the pressure value of the input operation The touch switch cannot be closed, and when the touch switch is disconnected, it is determined that the input operation is a contact operation.

Step S504: if the input operation is a contact operation, process the acquisition signal corresponding to the contact operation according to the first working mode, and generate the characteristic image;

Step S505: If the input operation is a pressing operation, obtain the gain value of the first working mode and the numerical range of the modification ratio of the gain value of the first working mode; the numerical range of the modification ratio is 5% to 60 %;

It is understood that the numerical range of the modification ratio can be determined based on experience or experimental data.

Step S506: Modify the gain value of the first working mode according to any modification ratio value in the modification ratio numerical 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 ratio value in the numerical range of the modification ratio to obtain the gain value of the second working mode, which may be obtained from the modification ratio Select any modified ratio value in the numerical range of 5% to 60%, and reduce the gain value of the first working mode by the corresponding multiple according to any of the determined modified ratio values to obtain the reduced gain value. The gain value of is determined as the gain value of the second working mode.

Step S507: Process the collected signal corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;

Step S508: Identify the characteristic image to determine whether the identification condition is satisfied.

In the embodiment of the present application, whether the input operation is a pressing operation or a contact operation can be determined by the state of the touch switch of the fingerprint sensor; the gain value of the first working mode can be reduced correspondingly by the modification ratio within the range of the modification ratio value. , so that the feature image obtained by processing the reduced gain value of the second working mode can better meet the identification conditions, realize fingerprint unlocking, and improve the FRR of fingerprint unlocking.

FIG. 6 is a schematic diagram of an implementation flow of still another information processing method provided by an embodiment of the present application. As shown in FIG. 6 , the flow includes:

Step S601: collecting pressure parameters of the input operation through a pressure sensor;

It can be understood that the pressure sensor may be a sensor disposed at the position of the power button integrated with the fingerprint collection area. When the input operation in the fingerprint collection area is under pressure, the pressure sensor may sense pressure parameters corresponding to the input operation. Here, the pressure parameter may be a pressure value.

In a possible implementation manner, the pressure parameter of the input operation is collected by a pressure sensor, which may be the pressure value of the input operation sensed by the pressure sensor.

Step S602: if the pressure parameter is less than a pressure threshold, determine that the input operation is a contact operation;

It can be understood that the pressure threshold may be a preset pressure threshold. In one example, the pressure threshold is determined according to the manufacturer of the power button. The power button is pressed when the input operation is greater than or equal to the pressure threshold, and the power button is not pressed when the input operation is less than the pressure threshold.

Step S603: if the pressure parameter is greater than or equal to the pressure threshold, determine that the input operation is a pressing operation;

Step S604: if the input operation is a contact operation, process the acquisition signal corresponding to the contact operation according to the first working mode, and generate the characteristic image;

Step S605: If the input operation is a pressing operation, determine a pixel value difference, where the pixel value difference represents the difference between the average pixel value of the acquisition signal corresponding to the input operation and the average pixel value set in the template image ;

It can be understood that the average pixel value corresponding to the touch fingerprint image is different from the average pixel value corresponding to the pressing fingerprint image. Here, the average pixel value set in the template image may be the average pixel value corresponding to the touch fingerprint image. The average pixel value of the image setting refers to the average pixel value determined according to the average pixel value corresponding to the registered fingerprint image during fingerprint registration.

Step S606: Based on the pixel value difference, query a pre-established first mapping table to obtain the modification ratio of the gain value of the first working mode; the first mapping table is used to represent the difference between the pixel value and the pair. the correspondence between the modification ratios of the gain values of the first working mode;

It can be understood that the first mapping table can be used to represent the correspondence between the pixel value difference range and the modification ratio of the gain value of the first working mode.

Step S607: Modify the gain value of the first working mode according to the modification ratio of the gain value of the first working mode to obtain the gain value of the second working mode;

In a possible implementation manner, modifying the gain value of the first working mode according to the modification ratio of the gain value of the first working mode to obtain the gain value of the second working mode, which may be based on the modification ratio of the gain value of the first working mode. The modification ratio of the gain value of a working mode reduces the gain value of the first working mode to obtain a reduced gain value, and the reduced gain value is determined as the gain value of the second working mode.

Step S608: Process the collected signal corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;

Step S609: Identify the characteristic image to determine whether the identification condition is satisfied.

In this embodiment of the present application, the pressure parameter of the input operation is collected by a pressure sensor, and if the pressure parameter is less than a pressure threshold, it is determined that the input operation is a contact operation; if the pressure parameter is greater than or equal to the pressure threshold, the input operation is determined to be The operation is a pressing operation. In this way, it can be accurately determined whether the input operation is a contact operation or a pressing operation according to the user's input operation. By querying the first mapping table by the pixel value difference, the modification ratio of the gain value of the first working mode can be obtained, and then the gain value of the second working mode can be obtained. Because the obtained gain value of the second working mode is corresponding to the input operation Therefore, the probability of satisfying the identification conditions is higher, the 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 provided by an embodiment of the present application. As shown in FIG. 7 , the flow includes:

Step S701: obtaining an input operation for the fingerprint collection area;

Step S702: if the input operation is a contact operation, process the acquisition signal corresponding to the contact operation according to the first working mode, and generate the characteristic image;

Step S703: If the input operation is a pressing operation, based on the average pixel value of the collected signal corresponding to the input operation, query a pre-established second mapping table to obtain the modification ratio of the gain value of the first working mode; The second mapping table is used to represent the corresponding relationship between the average pixel value and the modification ratio of the gain value of the first working mode;

It can be understood that the second mapping table can be used to represent the corresponding relationship between the range of the average pixel value and the modification ratio of the gain value of the first working mode.

Step S704: Modify the gain value of the first working mode according to the modification ratio of the gain value of the first working mode to obtain the gain value of the second working mode;

Step S705: Process the collected signal corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image;

Step S706: Identify the characteristic image to determine whether the identification condition is satisfied.

In the embodiment of the present application, since the way of determining the modification ratio 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, it is obtained by querying the pre-established second mapping table, that is, the obtained first The gain value of the second working mode is determined according to the average pixel value of the collected signal corresponding to the input operation. Therefore, the probability of satisfying the identification conditions is higher, the fingerprint unlocking is realized, and the FRR of the fingerprint unlocking is improved.

In this embodiment of the present application, software can be used to detect different pressing modes and adapt to different gain parameters to reduce the influence of changes in finger fingerprints. Here, the different pressing methods refer to two methods of touching and pressing. Specifically, when the software recognizes that the fingerprint is unlocked by pressing the fingerprint, it will notify the fingerprint software to update the gain parameters, so that the signal gain is reduced by 10% to 50%, thereby reducing the difference between the fingerprint image during registration and improving the FRR performance.

FIG. 8 is a flowchart for realizing an information processing method for fingerprint unlocking provided by an embodiment of the present application. As shown in FIG. 8 , the method includes:

Step S801: Based on the pre-established fingerprint database, the software obtains the collection information, pressure value information and/or trigger signal corresponding to the finger input operation, and determines whether the finger input operation is to unlock or unlock by touching the fingerprint according to the collection information, pressure value information and/or trigger signal. Press the fingerprint to unlock, if touch the fingerprint to unlock, go to step S802, if press the fingerprint to unlock, go to step S803;

Step S802: according to the original fingerprint gain parameter, perform fingerprint matching on the fingerprint image of the finger input operation, and unlock when the fingerprint matching is successful;

Step S803: the software notifies the fingerprint software that the finger input operation is to press the fingerprint to unlock;

Step S804: the fingerprint software determines the reduction ratio of the fingerprint gain parameter from the preset gain parameter reduction ratio range, determines the target fingerprint gain parameter according to the reduction ratio of the fingerprint gain parameter, and updates the fingerprint gain parameter to the target fingerprint gain parameter;

Step S805: Modify the grayscale value of each pixel in the fingerprint image according to the target fingerprint gain parameter to obtain the target fingerprint image;

Step S806: Perform fingerprint matching on the registered fingerprint image in the pre-established fingerprint database through the target fingerprint image, and unlock when the fingerprints match.

Based on the foregoing embodiments, the embodiments of the present application provide an entire information processing device, the device includes each unit included and each module included in each unit, which can be implemented by a processor in an electronic device; of course, it can also be It is realized by a specific logic circuit; in the process of implementation, the processor can be a central processing unit (CPU), a microprocessor (Microprocessor Unit, MPU), a digital signal processor (DSP) or a field programmable gate array (FPGA) Wait.

FIG. 9 is a schematic structural diagram of an information processing apparatus provided by an embodiment of the present application. As shown in FIG. 9 , an information processing apparatus 900 includes:

an obtaining module 901, configured to obtain an input operation for the fingerprint collection area;

a processing module 902, configured to process the acquisition signal corresponding to the input operation to generate a characteristic image;

A determination module 903, configured to identify the feature image and determine whether the identification condition is met; wherein,

The processing module 902 is configured to, if the input operation is a contact operation, process the acquisition signal corresponding to the contact operation according to the first working mode, and generate the characteristic image; if the input operation is a pressing operation, according to the second operation mode. The working mode processes the collected signal corresponding to the pressing operation to generate the characteristic image; the gain value of the second working mode is smaller than the gain value 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 implementations, the obtaining module 901 is configured to obtain a collection signal corresponding to the input operation by collecting a fingerprint sensor; and determine whether the input operation is a pressing operation or a contact operation according to the collection signal.

In some embodiments, the obtaining module 901 is configured to obtain a trigger signal corresponding to the input operation on the touch switch of the fingerprint sensor; if the trigger signal represents the trigger of the touch switch, determine the The input operation is a pressing operation; if the trigger signal indicates that the touch switch is not triggered, it is determined that the input operation is a contact operation.

In some embodiments, the obtaining module 901 is configured to collect a pressure parameter corresponding to the input operation through a pressure sensor; if the pressure parameter is less than a pressure threshold, determine that the input operation is a contact operation; if the pressure When the parameter is greater than or equal to the pressure threshold, it is determined that the input operation is a pressing operation.

In some embodiments, the processing module 902 is configured to, if the input operation is a pressing operation, determine the gain value of the second operation mode based on the gain value of the first operation mode; according to the second operation The gain value of the mode processes the acquired signal corresponding to the pressing operation to generate the characteristic image.

In some embodiments, the processing module 902 is configured to obtain, if the input operation is a pressing operation, a gain value of the first working mode and a modification ratio numerical range for the gain value of the first working mode; The modification ratio value range is 5% to 60%; the gain value of the first working mode is modified according to any modification ratio value in the modification ratio numerical value range to obtain the gain value of the second working mode.

In some embodiments, the processing module 902 is configured to determine a pixel value difference value if the input operation is a pressing operation, where the pixel value difference value represents the average pixel value of the acquired signal corresponding to the input operation and the template The difference between the average pixel values of the image settings; based on the pixel value difference, query a pre-established first mapping table to obtain the modification ratio of the gain value of the first working mode; the first mapping table Used to characterize the correspondence between the pixel value difference and the modification ratio of the gain value of the first working mode; modify the gain of the first working mode according to the modification ratio of the gain value of the first working mode value to obtain the gain value of the second working mode.

In some embodiments, the processing module 902 is configured to, if the input operation is a pressing operation, query a pre-established second mapping table based on the average pixel value of the acquired signal corresponding to the input operation, to obtain a The modification ratio of the gain value of the first working mode; the second mapping table is used to represent the corresponding relationship between the average pixel value and the modification ratio of the gain value of the first working mode; according to the first working mode The modification ratio of the gain value of the mode modifies 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 can be implemented by using a processor in the information processing device, and the above-mentioned processor can be an ASIC, DSP, DSPD, PLD, FPGA, CPU, controller, and microcontroller. , at least one of the microprocessors.

The descriptions of the above apparatus embodiments are similar to the descriptions of the above method embodiments, and have similar beneficial effects to the method embodiments. For technical details not disclosed in the device embodiments of the present application, please refer to the descriptions of the method embodiments of the present application for understanding.

In addition, each functional module in this embodiment may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or can be implemented in the form of software function modules.

If the integrated unit is implemented in the form of a software functional module and is not sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this embodiment is essentially or Said part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, the computer software product is stored in a storage medium, and includes several instructions for making an electronic device (which can be It is a personal computer, a server, or a network device, etc.) or a processor (processor) that executes all or part of the steps of the method described in this embodiment. The aforementioned storage medium includes: U disk, removable hard disk, Read Only Memory (ROM), Random Access Memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program codes.

Generally speaking, a computer program instruction corresponding to an information processing method in this embodiment may be stored on a storage medium such as an optical disc, a hard disk, a U disk, etc. When the computer program instruction corresponding to an information processing method in the storage medium When read or executed by an information processing device, any one of the information processing methods of the foregoing embodiments is implemented.

Based on the same technical concept as the foregoing embodiments, see FIG. 10 , which shows a schematic structural diagram of an electronic device 1000 provided by an embodiment of the present application, which may include: a memory 1001 and a processor 1002; wherein,

The memory 1001 is used to store computer programs and data;

The processor 1002 is configured to execute the computer program stored in the memory to implement any one of the information processing methods in the foregoing embodiments.

In practical applications, the above-mentioned memory 1001 may be a volatile memory (volatile memory), such as 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 drive (Solid-State Drive, SSD); or a combination of the above types of memory, and provide instructions and data to the processor 1002.

The above-mentioned processor 1002 may be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, controller, microcontroller, and microprocessor. It can be understood that, for different augmented reality cloud platforms, the electronic device used to implement the above processor function may also be other, which is not limited in this embodiment of the present application.

The above description of the various embodiments tends to emphasize the differences between the various embodiments, and the similarities or similarities can be referred to each other. For the sake of brevity, details are not repeated herein.

The methods disclosed in each method embodiment provided in this application can be combined arbitrarily without conflict to obtain a new method embodiment.

The features disclosed in each product embodiment provided in this application can be combined arbitrarily without conflict to obtain a new product embodiment.

The features disclosed in each method or device embodiment provided in this application can be combined arbitrarily without conflict to obtain a new method embodiment or device embodiment.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or in a part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in the various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned embodiments, which are merely illustrative rather than restrictive. Under the inspiration of the present application, many forms can be made without departing from the scope of protection of the purpose and claims of the present application, which all fall within the protection of the present application.

Claims (10)

1. An information processing method, characterized in that the method comprises:

obtaining an input operation for a fingerprint acquisition area;

processing the acquisition signal 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 of the acquisition signal corresponding to the input operation and the generation of the characteristic image comprise:

if the input operation is a contact operation, processing an acquisition signal corresponding to the contact operation according to a first working mode to generate the characteristic image;

if the input operation is a pressing operation, processing an acquisition signal corresponding to the pressing operation according to a second working mode to generate the characteristic image; the gain value of the second operating mode is less than the gain value of the first operating mode.

2. The method of claim 1, wherein a feature image generated by processing the collected signal corresponding to the pressing operation according to the gain value of the second operation mode can be used for matching with the template image corresponding to the identification condition.

3. The method according to claim 1 or 2, wherein the obtaining an input operation for a fingerprint acquisition area comprises:

acquiring an acquisition signal corresponding to the input operation through a fingerprint sensor;

determining whether the input operation is the pressing operation or the contacting operation according to the acquisition signal.

4. The method according to claim 1 or 2, wherein the obtaining an input operation for a fingerprint acquisition area comprises:

acquiring a trigger signal corresponding to the input operation on a touch switch of the fingerprint sensor;

if the trigger signal represents the touch switch trigger, determining that the input operation is a pressing operation;

and if the triggering signal indicates that the touch switch is not triggered, determining that the input operation is a contact operation.

5. The method according to claim 1 or 2, wherein the obtaining an input operation for a fingerprint acquisition area comprises:

acquiring a pressure parameter corresponding to the input operation through a pressure sensor;

determining that the input operation is a contact operation if the pressure parameter is less than a pressure threshold;

and if the pressure parameter is larger than or equal to the pressure threshold value, determining that the input operation is a pressing operation.

6. The method according to claim 1 or 2, wherein if the input operation is a pressing operation, processing the acquired signal corresponding to the pressing operation according to a second working mode to generate the characteristic image comprises:

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;

and processing the acquisition signal corresponding to the pressing operation according to the gain value of the second working mode to generate the characteristic image.

7. The method of claim 6, wherein determining the gain value for the second operating mode based on the gain value for the first operating mode if the input operation is a press operation comprises:

if the input operation is a pressing operation, acquiring a gain value of the first working mode and a modification ratio numerical range of the gain value of the first working mode; the modification ratio numerical 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 numerical range to obtain the gain value of the second working mode.

8. The method of claim 6, wherein determining the gain value for the second operating mode based on the gain value for the first operating mode if the input operation is a press operation comprises:

if the input operation is a pressing operation, determining a pixel value difference value, wherein the pixel value difference value represents the difference value between the average pixel value of the acquired signal corresponding to the input operation and the average pixel value set by the template image;

inquiring a pre-established first mapping table based on the pixel value difference 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.

9. The method of claim 6, wherein determining the gain value for the second operating mode based on the gain value for the first operating mode if the input operation is a press operation comprises:

if the input operation is a pressing operation, inquiring a pre-established second mapping table based on the average pixel value of the acquired 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;

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.

10. An information processing apparatus characterized in that the apparatus comprises:

the acquisition module is used for acquiring input operation aiming at the fingerprint acquisition area;

the processing module is used for processing the acquired signals corresponding to the input operation to generate a characteristic image;

the determining module is used for identifying the characteristic image and determining whether an identity identification condition is met; wherein,

the processing module is used for processing the acquisition signal 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 an acquisition signal corresponding to the pressing operation according to a second working mode to generate the characteristic image; the gain value of the second operating mode is less than the gain value of the first operating mode.

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