CN111506246A - Fingerprint identification determination method and fingerprint identification determination device - Google Patents

Fingerprint identification determination method and fingerprint identification determination device Download PDF

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Publication number
CN111506246A
CN111506246A CN201910101171.6A CN201910101171A CN111506246A CN 111506246 A CN111506246 A CN 111506246A CN 201910101171 A CN201910101171 A CN 201910101171A CN 111506246 A CN111506246 A CN 111506246A
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China
Prior art keywords
area
preset
touch
terminal
determining
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CN201910101171.6A
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Chinese (zh)
Inventor
杨坤
吴静
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Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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Priority to CN201910101171.6A priority Critical patent/CN111506246A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487Interaction 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
    • G06F3/0488Interaction 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input 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
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487Interaction 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

Abstract

The disclosure relates to a fingerprint identification determination method, which comprises the following steps: when the terminal carries out fingerprint identification, determining a touch area according to a touch signal generated by at least one touch sensor, and determining a distribution rule of the at least one touch sensor; determining whether the touch area and a preset area meet a preset relation or not; determining whether the distribution rule is the same as a preset distribution rule or not; if the touch area and the preset area meet the preset relation and the distribution rule is the same as the preset distribution rule, starting the fingerprint identification sensor, otherwise, ignoring the touch signal. According to the embodiment of the disclosure, the fingerprint identification sensor can be started to identify the fingerprint only when the fact that the user does perform the fingerprint identification operation is determined, so that unnecessary load of the fingerprint identification sensor caused by starting the fingerprint identification sensor is avoided, and the phenomenon that the terminal is unlocked due to the fact that the fingerprint identification is finished due to mistaken touch can be avoided.

Description

Fingerprint identification determination method and fingerprint identification determination device
Technical Field
The present disclosure relates to the field of fingerprint identification technologies, and in particular, to a fingerprint identification determination method, a fingerprint identification determination apparatus, an electronic device, and a computer-readable storage medium.
Background
The current touch technology and the fingerprint identification technology can be used in combination, when a touch sensor in a touch panel senses any touch signal, the touch sensor can judge that a finger of a user is in contact with the touch panel, and therefore the fingerprint identification sensor is started to carry out fingerprint identification.
However, in some cases, the user only touches the touch panel carelessly, not for fingerprint recognition, in which case if the fingerprint recognition sensor is still activated, a false unlocking may be caused, and even if the false unlocking is not caused, unnecessary load may be applied to the fingerprint recognition sensor.
Disclosure of Invention
The present disclosure provides a fingerprint identification determination method, a fingerprint identification determination apparatus, an electronic device, and a computer-readable storage medium to solve the disadvantages of the related art.
According to a first aspect of embodiments of the present disclosure, a fingerprint identification determination method is provided, which is applied to a terminal, and the method includes:
when the terminal carries out fingerprint identification, determining a touch area according to a touch signal generated by at least one touch sensor, and determining a distribution rule of the at least one touch sensor;
determining whether the touch area meets a preset relation with a preset area;
determining whether the distribution rule is the same as a preset distribution rule or not;
if the touch area and the preset area meet the preset relation and the distribution rule is the same as the preset distribution rule, starting the fingerprint identification sensor, otherwise, ignoring the touch signal.
Optionally, the determining whether the touch area and a preset area satisfy a preset relationship includes:
determining a target preset relation corresponding to the scene according to the scene of the terminal;
and determining whether the touch area and a preset area meet the target preset relation.
Optionally, the preset target relationship is that the touch area is smaller than or equal to an area upper limit value and larger than or equal to an area lower limit value.
Optionally, the determining, according to the scene where the terminal is located, a preset target relationship corresponding to the scene includes:
if the terminal is located in the pocket, determining that a first preset area is the upper limit value of the area; and/or
If the distance between the terminal and the face is smaller than a preset distance, determining a second preset area as the area upper limit value; and/or
If the terminal is in a fingerprint input scene, determining a third preset area as the area lower limit value; and/or
And if the terminal is in a scene of fingerprint identification, determining a fourth preset area as the area lower limit value, wherein the fourth preset area is smaller than the third preset area.
Optionally, the preset distribution rule is that the length of the at least one touch sensor continuously distributed along each of the at least two directions is greater than or equal to a preset length.
Optionally, the method further comprises:
and adjusting the preset relation according to the received first instruction, and/or adjusting the preset distribution rule according to the received second instruction.
According to a second aspect of the embodiments of the present disclosure, a fingerprint identification determination apparatus is provided, which is suitable for a terminal, and includes:
the information determining module is configured to determine a touch area according to a touch signal generated by at least one touch sensor and determine a distribution rule of the at least one touch sensor when the terminal performs fingerprint identification;
a relation comparison module configured to determine whether the touch area and a preset area satisfy a preset relation;
a distribution comparison module configured to determine whether the distribution rule is the same as a preset distribution rule;
and the sensor control module is configured to transmit the touch signal to a processor under the condition that the touch area and a preset area meet a preset relation and the distribution rule is the same as the preset distribution rule, otherwise, ignore the touch signal.
Optionally, the relationship comparison module includes:
the relation determining submodule is configured to determine a target preset relation corresponding to a scene where the terminal is located according to the scene;
a relation comparison submodule configured to determine whether the touch area and a preset area satisfy the target preset relation.
Optionally, the preset target relationship is that the touch area is smaller than or equal to an area upper limit value and larger than or equal to an area lower limit value.
Optionally, the relationship determination submodule is configured to:
when the terminal is positioned in the pocket, determining a first preset area as the upper limit value of the area; and/or
When the distance between the terminal and the face is smaller than a preset distance, determining a second preset area as the area upper limit value; and/or
Determining a third preset area as the area lower limit value under the scene that the terminal inputs the fingerprint; and/or
And under the scene that the terminal identifies the fingerprint, determining a fourth preset area as the area lower limit value, wherein the fourth preset area is smaller than the third preset area.
Optionally, the preset distribution rule is that the length of the at least one touch sensor continuously distributed along each of the at least two directions is greater than or equal to a preset length.
Optionally, the apparatus further comprises:
the adjusting module is configured to adjust the preset relationship according to the received first instruction, and/or adjust the preset distribution rule according to the received second instruction.
According to a fourth aspect of embodiments of the present disclosure, there is provided an electronic apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the method of any of the above embodiments.
According to a fourth aspect of embodiments of the present disclosure, a computer-readable storage medium is proposed, on which a computer program is stored, which when executed by a processor implements the steps in the method according to any of the embodiments described above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the above embodiment, by determining whether the touch area and the preset area satisfy the preset relationship, and determining whether the distribution rule is the same as the preset distribution rule, it can be accurately determined whether the user is actually performing the fingerprint identification operation when the touch signal is generated.
Therefore, the fingerprint identification sensor can be started to identify the fingerprint only when the fact that the user does perform the fingerprint identification operation is determined, and the touch signal can be ignored under the condition that the touch signal is not generated when the user performs the fingerprint identification operation, so that unnecessary load of the fingerprint identification sensor caused by starting the fingerprint identification sensor is avoided, and the phenomenon that the terminal is unlocked due to the fact that the fingerprint identification is completed due to mistaken touch can be avoided.
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 disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic flow chart diagram illustrating a fingerprint identification determination method according to an embodiment of the present disclosure.
Fig. 2 is a schematic flow chart diagram illustrating another fingerprint identification determination method in accordance with an embodiment of the present disclosure.
Fig. 3 is a schematic diagram illustrating a distribution law according to an embodiment of the present disclosure.
Fig. 4 is a schematic diagram illustrating another distribution law according to an embodiment of the present disclosure.
Fig. 5 is a schematic diagram illustrating yet another distribution law according to an embodiment of the present disclosure.
Fig. 6 is a schematic flow chart diagram illustrating yet another fingerprint identification determination method according to an embodiment of the present disclosure.
Fig. 7 is a schematic flow chart diagram illustrating a fingerprint identification determination device according to an embodiment of the present disclosure.
FIG. 8 is a schematic block diagram illustrating a relationship comparison module in accordance with an embodiment of the present disclosure.
Fig. 9 is a schematic block diagram illustrating another touch signal determination apparatus according to an embodiment of the present disclosure.
Fig. 10 is a schematic block diagram illustrating an apparatus for fingerprint identification determination in accordance with an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a schematic flow chart diagram illustrating a fingerprint identification determination method according to an embodiment of the present disclosure. The fingerprint identification determination method shown in this embodiment may be applied to a terminal, where the terminal includes, but is not limited to, an electronic device such as a mobile phone, a tablet computer, and a wearable device. The terminal is provided with a touch module, the touch module comprises a plurality of touch sensors, and the touch sensors include but are not limited to mutual inductance type capacitance sensors and self-inductance type capacitance sensors. When the skin of the user, e.g. a finger, touches the touch sensor, the touch sensor may generate a sensing signal.
As shown in fig. 1, a fingerprint identification determining method provided by an embodiment of the present disclosure includes:
in step S1, when the terminal performs fingerprint recognition, determining a touch area according to a touch signal generated by at least one touch sensor, and determining a distribution rule of the at least one touch sensor;
in one embodiment, the touch sensor may include one capacitor or a plurality of capacitors.
In one embodiment, the fingerprint identification includes, but is not limited to, a power-on identification fingerprint, a payment identification fingerprint.
In one embodiment, the area of each touch sensor may be stored in advance, the number of touch sensors generating the touch signal may be determined when the touch signal is generated, and the touch area may be determined according to the number of touch sensors and the area of the touch sensor, for example, the area of each touch sensor is the same and is a, and in the case where the touch signal is from n touch sensors, the touch area is equal to nA.
In one embodiment, when determining the touch sensors generating the touch signal, the value of the touch signal generated by each touch sensor may be compared with a preset threshold value, and if the value of the touch signal is greater than the preset threshold value, the touch signal is determined to be valid.
Therefore, touch signals generated by mistakenly touching part of the touch sensors can be omitted, and touch signals generated by deformation of the touch sensors due to the fact that fingers press adjacent areas of the touch sensors instead of pressing the touch sensors can be omitted, so that the touch signals used for determining the touch areas and the distribution rules are guaranteed.
In one embodiment, the distribution rule may be determined according to coordinates of the touch sensors, for example, coordinates of a plurality of touch sensors sensing the touch signal are located on a straight line, and the distribution rule is that the plurality of touch sensors are distributed along a straight line; for example, the coordinates of the touch sensors sensing the touch signal are not adjacent to each other, and the distribution rule is that the touch sensors are discretely distributed.
In step S2, determining whether the touch area and a preset area satisfy a preset relationship;
in step S3, determining whether the distribution rule is the same as a preset distribution rule;
in one embodiment, the preset relationship and the preset distribution rule may be preset, where the preset relationship is a relationship that needs to be satisfied between the touch area and the preset area when the user performs the fingerprint identification operation, and the preset distribution rule is a distribution rule that needs to be satisfied by the at least one touch sensor when the user performs the fingerprint identification operation.
It should be noted that, the execution sequence of step S2 and step S3 is partially sequential, step S3 may be executed after step S2 as shown in fig. 1, or the execution sequence of both steps may be adjusted as needed, for example, step S2 is executed after step S3, or step S2 and step S3 are executed simultaneously.
In step S4, if the touch area and the predetermined area satisfy the predetermined relationship and the distribution rule is the same as the predetermined distribution rule, the fingerprint sensor is activated, otherwise, the touch signal is ignored. It should be noted that ignoring the touch signal means not transmitting the touch signal to the processor.
In one embodiment, by determining whether the touch area and the preset area satisfy a preset relationship and determining whether the distribution rule is the same as the preset distribution rule, it can be accurately determined whether the user is actually performing a fingerprint identification operation when the touch signal is generated.
For example, the preset relationship is that the touch area is greater than or equal to the preset area, and the preset area is the area of 20 touch sensors, so that the touch area is very small and the preset relationship is not satisfied between the touch area and the preset area under the condition that only 1 touch sensor is in the area, and thus it can be determined that the touch panel is touched by mistake, and if the user is not performing the fingerprint identification operation, the touch signal is ignored without starting the fingerprint identification sensor.
For example, the preset distribution rule is that at least one touch sensor is continuously distributed along at least two directions, and then when the distribution rule of the touch sensors is that the touch sensors are all located on a straight line, the distribution rule is different from the preset distribution rule, so that it can be determined that the user only touches the touch panel by mistake, and it can be determined that the touch panel indicates that the touch panel is touched by mistake, and if the user is not performing a fingerprint identification operation, the touch signal is ignored, and the fingerprint identification sensor does not need to be started.
Therefore, the fingerprint identification sensor can be started to identify the fingerprint only when the fact that the user does perform the fingerprint identification operation is determined, and the touch signal can be ignored under the condition that the touch signal is not generated by the user performing the fingerprint identification operation, so that unnecessary load of the fingerprint identification sensor caused by starting the fingerprint identification sensor is avoided, and the situation that the terminal is unlocked because the fingerprint identification is completed by mistaken touch and the like and not by the user performing the touch operation can be further avoided.
It should be noted that the fingerprint identification determination method provided in the embodiment of the present invention may be executed by a processor in the touch module, a processor in the terminal, or a processor in the fingerprint identification sensor.
When the fingerprint identification determination method is executed by the processor in the touch module, the fingerprint identification sensor is started in step S4, the processor in the touch module may directly trigger the fingerprint identification sensor to start, or the processor in the touch module may report necessary information to the processor of the terminal, and the processor of the terminal triggers the fingerprint identification sensor to start;
when the fingerprint identification determination method is executed by the processor of the terminal, the fingerprint identification sensor is activated in step S4, and the activation of the fingerprint identification sensor can be directly triggered by the processor of the terminal;
when the fingerprint identification determination method is executed by a processor in the fingerprint identification sensor, the activation of the fingerprint identification sensor in step S4 specifically means the activation of the fingerprint identification function of the fingerprint identification sensor.
When the processor of the terminal or the processor in the fingerprint identification sensor executes the fingerprint identification determination method, a touch signal needs to be acquired from the touch module, and the touch signal may include a touch area and/or coordinates of the touch sensor generating the touch signal. The transmission manner of the touch area may be directly transmitting a specific area value, or may be a first number of touch sensors transmitting signals generated along an x direction (for example, a terminal short side direction), and a second number of touch sensors generating signals along a y direction (for example, a terminal long side direction), and then a processor of the terminal or a processor in the fingerprint recognition sensor calculates the touch area according to the first number and the second number and an area of a control sensor storing a touch in advance.
Fig. 2 is a schematic flow chart diagram illustrating another fingerprint identification determination method in accordance with an embodiment of the present disclosure. As shown in fig. 2, the determining whether the touch area and a preset area satisfy a preset relationship includes:
in step S21, determining a preset target relationship corresponding to the scene according to the scene where the terminal is located;
in step S22, it is determined whether the touch area and a preset area satisfy the target preset relationship.
In one embodiment, taking the terminal as an example of a mobile phone, when the mobile phone is in a trousers pocket of a user, since the trousers pocket is close to a thigh, and a skin on the thigh contacts a touch panel of the mobile phone through the trousers pocket, a touch sensor in the touch panel also generates a touch signal, and the skin on the thigh contacts the touch panel in a large area, which is larger than the area of contact between a finger and the touch panel, so that a larger touch area can be generated. In this case, the predetermined relationship may be set to be that the touch area is smaller than or equal to the first predetermined area, and then it is determined that the user is actually performing the fingerprint identification operation only when the touch area is smaller than or equal to the first predetermined area.
When a user identifies a fingerprint, the user presses a finger on the area provided with the fingerprint identification sensor, the touch area sensed by the touch panel is large, and the situation that the touch area is small can be determined as false touch, so that the preset relationship can be set to be that the touch area is larger than or equal to a fourth preset area, and when the touch area is larger than or equal to the fourth preset area, the user can be determined to be actually performing fingerprint identification operation.
Therefore, when the terminal is in different scenes and a user performs fingerprint identification operation, the relation required to be met between the touch area and the preset area can be different. And then, aiming at different scenes, determining a target preset relation corresponding to the scene, and judging whether the user really performs fingerprint identification operation according to whether the touch area and the preset area meet the target preset relation, so that the judgment result is suitable for the scene where the terminal is located, and the accuracy of the judgment result is ensured.
Optionally, the preset target relationship is that the touch area is smaller than or equal to an area upper limit value and larger than or equal to an area lower limit value.
In one embodiment, when the user performs the touch operation, the touch area of the touch panel touched by the finger is not too large or too small, for example, the touch area is generally between 0.1 cm square and 4 cm square.
Therefore, an upper area limit and a lower area limit may be preset, for example, the upper area limit is set to 4 square centimeters, the lower area limit is set to 0.1 square centimeters, both the touch signals when the touch area is smaller than the lower area limit and the touch area is smaller than the upper area limit are determined as touch signals not generated by the user, so that the touch signals are ignored, and only the touch signals when the touch area is smaller than or equal to the upper area limit and larger than or equal to the lower area limit are determined as touch signals generated by the user performing the touch operation, so as to process the touch signals.
Optionally, the determining, according to the scene where the terminal is located, a preset target relationship corresponding to the scene includes:
if the terminal is located in the pocket (for example, whether the terminal is located in the pocket may be determined according to the ambient light sensor and the temperature sensor), determining that the first preset area is the upper limit value of the area; and/or
If the distance between the terminal and the face is smaller than a preset distance, (for example, whether the distance between the terminal and the face is smaller than the preset distance or not can be determined according to a distance sensor), and determining that a second preset area is the area upper limit value; and/or
If the terminal is in a fingerprint input scene, determining a third preset area as the area lower limit value; and/or
And if the terminal is in a scene of fingerprint identification, determining a fourth preset area as the area lower limit value, wherein the fourth preset area is smaller than the third preset area.
In one embodiment, when the terminal is in different scenes and a user performs a fingerprint identification operation, the relation to be satisfied between the touch area and the preset area may be different.
For example, if the terminal is located in a pocket, the touch panel in the terminal may be in large-area contact with skin other than human fingers, so as to generate a larger touch area, in this case, an upper area limit value in the preset relationship may be set, for example, a first preset area is determined to be the upper area limit value, where the first preset area may be set to be larger, for example, to be 10 square centimeters, and it may be determined that the touch area and the preset area satisfy the preset relationship as long as the touch area is smaller than or equal to the first preset area and is greater than or equal to the lower area limit value.
For example, the distance between the terminal and the face is less than the preset distance, that is, the distance between the terminal and the face is close, and the scenario may specifically be a situation that the user brings the terminal close to the face when using the terminal to answer a call, and then the touch panel of the terminal is set to be in contact with the skin of the face in a large area, so as to generate a large touch area.
For example, in a scenario where a fingerprint is input by the terminal, that is, a user inputs a fingerprint template to the terminal to provide a subsequent identification fingerprint as a reference, in this case, since fingerprint information of the user needs to be comprehensively obtained, the user needs to completely press a finger on the touch panel so that the fingerprint identification sensor in a corresponding region obtains the fingerprint information, in this case, an area lower limit value in the preset relationship may be set, for example, a third preset area is determined as the area lower limit value, where the third preset area may be set to be larger, for example, 1 square centimeter, and then it is determined that the preset relationship is satisfied between the touch area and the preset area when the touch area is greater than or equal to the third preset area and is less than or equal to the area upper limit value.
For example, in a scene where a fingerprint is recognized by the terminal, a user presses a finger on an area where a fingerprint recognition sensor is disposed, and a touch area sensed by the touch panel is large, so that a case where the touch area is small can be determined as a false touch, and therefore, an area lower limit value in a preset relationship can be set, for example, a fourth preset area is determined as the area lower limit value, where the fourth preset area can be set to be large, for example, 0.5 square centimeter, and when the touch area is greater than or equal to the fourth preset area, it is determined that the preset relationship is satisfied between the touch area and the preset area.
Because local fingerprint information on the finger can only be acquired during fingerprint identification, the area of the finger contacting with the terminal can be relatively smaller compared with the comprehensive acquisition of the fingerprint information during fingerprint inputting, and therefore the fourth preset area can be set to be smaller than the third preset area.
In view of the above, to different scenes, different preset relations can be set, so that when judging whether the user performs fingerprint identification operation, the preset relation of the target corresponding to the scene can be determined, and whether the user does perform fingerprint identification operation is judged according to whether the preset relation of the target is satisfied between the touch area and the preset area, so that the judgment result is suitable for the scene where the terminal is located, and the accuracy of the judgment result is ensured.
Fig. 3 is a schematic diagram illustrating a distribution law according to an embodiment of the present disclosure. Fig. 4 is a schematic diagram illustrating another distribution law according to an embodiment of the present disclosure. Fig. 5 is a schematic diagram illustrating yet another distribution law according to an embodiment of the present disclosure.
Take the example that the touch sensors are uniformly distributed on the terminal screen:
in one embodiment, as shown in fig. 3, the distribution rule of at least one touch sensor is that one touch sensor is distributed in an isolated manner in the terminal (for example, as described in the block of fig. 3), and according to experimental analysis, since a human finger does not contact only one touch sensor when contacting the touch panel, the touch sensor distributed in an isolated manner can be determined as noise.
In an embodiment, as shown in fig. 4, the at least one touch sensor is distributed in a manner that the plurality of touch sensors are located on a straight line in the terminal, according to experimental analysis, when a human finger touches the touch panel, the touch sensors are not distributed along the straight line, and therefore the touch sensors located on the straight line may be determined not to be caused by finger touch, and may be caused by a strip-like object contacting the touch panel, such as an earphone line.
In one embodiment, according to experimental analysis, since the fingers of the user are pressed to be flat when contacting the touch panel, the touch sensors generating the touch signals are also distributed in a flat manner, but the arrangement manner of the touch sensors is a matrix arrangement, so that the touch sensors distributed in a flat manner are continuously distributed in at least two directions in the simplest case, and the continuous distribution can reach a certain length, and therefore, a preset distribution rule can be set such that the length of the continuous distribution of the at least one touch sensor in each of the at least two directions is greater than or equal to a preset length.
Taking the preset length as the length of the two sensors as an example, as shown in fig. 5, the touch sensors distributed along the long side direction of the terminal and the touch sensors distributed along the short side direction of the terminal are both included in the plurality of touch sensors, the length of the continuous distribution of the touch sensors distributed along the long side direction of the terminal is greater than the length of the two sensors, and the length of the continuous distribution of the touch sensors distributed along the short side direction of the terminal is equal to the length of the two sensors, so that it can be determined that the distribution rule is the same as the preset distribution rule.
Fig. 6 is a schematic flow chart diagram illustrating yet another fingerprint identification determination method according to an embodiment of the present disclosure. As shown in fig. 6, the method further comprises:
in step S5, the preset relationship is adjusted according to the received first instruction, and/or the preset distribution rule is adjusted according to the received second instruction.
In one embodiment, the first instruction adjustment may be received to adjust the preset relationship, and the second instruction adjustment may also be received to adjust the preset distribution rule, so that the adjusted preset relationship and the adjusted preset distribution rule meet the requirements of different users, and are further suitable for accurately judging whether the different users perform the fingerprint identification operation.
Corresponding to the foregoing embodiments of the fingerprint identification determination method, the present disclosure also provides embodiments of a fingerprint identification determination apparatus.
Fig. 7 is a schematic flow chart diagram illustrating a fingerprint identification determination device according to an embodiment of the present disclosure. The fingerprint identification determination apparatus shown in this embodiment may be applied to a terminal, where the terminal includes, but is not limited to, an electronic device such as a mobile phone, a tablet computer, and a wearable device. A plurality of touch sensors are disposed in the terminal, and the touch sensors include, but are not limited to, mutual inductance type capacitive sensors and self-inductance type capacitive sensors. When the skin of the user, e.g. a finger, touches the touch sensor, the touch sensor may generate a sensing signal.
As shown in fig. 7, a fingerprint identification determination apparatus according to an embodiment of the present disclosure includes:
the information determining module 1 is configured to determine a touch area according to a touch signal generated by at least one touch sensor and determine a distribution rule of the at least one touch sensor when the terminal performs fingerprint identification;
a relation comparison module 2 configured to determine whether the touch area and a preset area satisfy a preset relation;
a distribution comparison module 3 configured to determine whether the distribution rule is the same as a preset distribution rule;
and the sensor control module 4 is configured to transmit the touch signal to a processor under the condition that the touch area and a preset area meet a preset relation and the distribution rule is the same as the preset distribution rule, otherwise, ignore the touch signal.
FIG. 8 is a schematic block diagram illustrating a relationship comparison module in accordance with an embodiment of the present disclosure. As shown in fig. 8, the relationship comparison module 2 includes:
the relation determining submodule 21 is configured to determine a target preset relation corresponding to a scene where the terminal is located according to the scene;
a relation comparison submodule 22 configured to determine whether the touch area and a preset area satisfy the target preset relation.
Optionally, the preset target relationship is that the touch area is smaller than or equal to an area upper limit value and larger than or equal to an area lower limit value.
Optionally, the relationship determination submodule is configured to:
when the terminal is positioned in the pocket, determining a first preset area as the upper limit value of the area; and/or
When the distance between the terminal and the face is smaller than a preset distance, determining a second preset area as the area upper limit value; and/or
Determining a third preset area as the area lower limit value under the scene that the terminal inputs the fingerprint; and/or
And under the scene that the terminal identifies the fingerprint, determining a fourth preset area as the area lower limit value, wherein the fourth preset area is smaller than the third preset area.
Optionally, the preset distribution rule is that the length of the at least one touch sensor continuously distributed along each of the at least two directions is greater than or equal to a preset length.
Fig. 9 is a schematic block diagram illustrating another touch signal determination apparatus according to an embodiment of the present disclosure. As shown in fig. 9, the touch signal determining apparatus further includes:
an adjusting module 5 configured to adjust the preset relationship according to the received first instruction, and/or adjust the preset distribution rule according to the received second instruction.
With regard to the apparatus in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments of the related method, and will not be described in detail here.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. One of ordinary skill in the art can understand and implement it without inventive effort.
An embodiment of the present disclosure also provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the method of any of the above embodiments.
Embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the method according to any of the above embodiments.
Fig. 10 is a schematic block diagram illustrating an apparatus 1000 for fingerprint identification determination in accordance with an embodiment of the present disclosure. For example, the apparatus 1000 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 10, the apparatus 1000 may include one or more of the following components: processing component 1002, memory 1004, power component 1006, multimedia component 1008, audio component 1010, input/output (I/O) interface 1012, sensor component 1014, and communications component 1016.
The processing component 1002 generally controls the overall operation of the device 1000, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 1002 may include one or more processors 1020 to execute instructions to perform all or a portion of the steps of the methods described above. Further, processing component 1002 may include one or more modules that facilitate interaction between processing component 1002 and other components. For example, the processing component 1002 may include a multimedia module to facilitate interaction between the multimedia component 1008 and the processing component 1002.
The memory 1004 is configured to store various types of data to support operations at the apparatus 1000. Examples of such data include instructions for any application or method operating on device 1000, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1004 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 1006 provides power to the various components of the device 1000. The power components 1006 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 1000.
The multimedia component 1008 includes a screen that provides an output interface between the device 1000 and a user, in some embodiments, the screen may include a liquid crystal display (L CD) and a Touch Panel (TP). if the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user.
The audio component 1010 is configured to output and/or input audio signals. For example, audio component 1010 includes a Microphone (MIC) configured to receive external audio signals when apparatus 1000 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 1004 or transmitted via the communication component 1016. In some embodiments, audio component 1010 also includes a speaker for outputting audio signals.
I/O interface 1012 provides an interface between processing component 1002 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 1014 includes one or more touch sensors for providing status assessment of various aspects of the apparatus 1000. For example, sensor assembly 1014 may detect an open/closed state of device 1000, the relative positioning of components, such as a display and keypad of device 1000, the change in position of device 1000 or a component of device 1000, the presence or absence of user contact with device 1000, the orientation or acceleration/deceleration of device 1000, and the change in temperature of device 1000. The sensor assembly 1014 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 1014 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1014 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communications component 1016 is configured to facilitate communications between the apparatus 1000 and other devices in a wired or wireless manner, the apparatus 1000 may have access to a wireless network based on a communication standard, such as WiFi, 2G or 3G, 4G L TE, 5G NR, or combinations thereof.
In an exemplary embodiment, the apparatus 1000 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), programmable logic devices (P L D), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the methods described in any of the above embodiments.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 1004 comprising instructions, executable by the processor 1020 of the device 1000 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (14)

1. A fingerprint identification determination method is applicable to a terminal, and comprises the following steps:
when the terminal carries out fingerprint identification, determining a touch area according to a touch signal generated by at least one touch sensor, and determining a distribution rule of the at least one touch sensor;
determining whether the touch area meets a preset relation with a preset area;
determining whether the distribution rule is the same as a preset distribution rule or not;
if the touch area and the preset area meet the preset relation and the distribution rule is the same as the preset distribution rule, starting the fingerprint identification sensor, otherwise, ignoring the touch signal.
2. The method according to claim 1, wherein the determining whether the touch area and a preset area satisfy a preset relationship comprises:
determining a target preset relation corresponding to the scene according to the scene of the terminal;
and determining whether the touch area and a preset area meet the target preset relation.
3. The method of claim 2, wherein the target predetermined relationship is that the touch area is smaller than or equal to an area upper limit and larger than or equal to an area lower limit.
4. The method according to claim 3, wherein the determining, according to a scene in which the terminal is located, a preset target relationship corresponding to the scene comprises:
if the terminal is located in the pocket, determining that a first preset area is the upper limit value of the area; and/or
If the distance between the terminal and the face is smaller than a preset distance, determining a second preset area as the area upper limit value; and/or
If the terminal is in a fingerprint input scene, determining a third preset area as the area lower limit value; and/or
And if the terminal is in a scene of fingerprint verification, determining a fourth preset area as the area lower limit value, wherein the fourth preset area is smaller than the third preset area.
5. The method according to claim 1, wherein the predetermined distribution rule is that the length of the at least one touch sensor continuously distributed along each of the at least two directions is greater than or equal to a predetermined length.
6. The method of any one of claims 1 to 5, further comprising:
and adjusting the preset relation according to the received first instruction, and/or adjusting the preset distribution rule according to the received second instruction.
7. A fingerprint identification determination apparatus adapted for use with a terminal, the apparatus comprising:
the information determining module is configured to determine a touch area according to a touch signal generated by at least one touch sensor and determine a distribution rule of the at least one touch sensor when the terminal performs fingerprint identification;
a relation comparison module configured to determine whether the touch area and a preset area satisfy a preset relation;
a distribution comparison module configured to determine whether the distribution rule is the same as a preset distribution rule;
and the sensor control module is configured to transmit the touch signal to a processor under the condition that the touch area and a preset area meet a preset relation and the distribution rule is the same as the preset distribution rule, otherwise, ignore the touch signal.
8. The apparatus of claim 7, wherein the relationship comparison module comprises:
the relation determining submodule is configured to determine a target preset relation corresponding to a scene where the terminal is located according to the scene;
a relation comparison submodule configured to determine whether the touch area and a preset area satisfy the target preset relation.
9. The apparatus of claim 8, wherein the predetermined target relationship is that the touch area is smaller than or equal to an upper area limit and larger than or equal to a lower area limit.
10. The apparatus of claim 9, wherein the relationship determination submodule is configured to:
when the terminal is positioned in the pocket, determining a first preset area as the upper limit value of the area; and/or
When the distance between the terminal and the face is smaller than a preset distance, determining a second preset area as the area upper limit value; and/or
Determining a third preset area as the area lower limit value under the scene that the terminal inputs the fingerprint; and/or
And under the scene that the terminal identifies the fingerprint, determining a fourth preset area as the area lower limit value, wherein the fourth preset area is smaller than the third preset area.
11. The apparatus according to claim 7, wherein the predetermined distribution rule is that the length of the at least one touch sensor continuously distributed along each of the at least two directions is greater than or equal to a predetermined length.
12. The apparatus of any one of claims 7 to 11, further comprising:
the adjusting module is configured to adjust the preset relationship according to the received first instruction, and/or adjust the preset distribution rule according to the received second instruction.
13. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the method of any one of claims 1 to 6.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
CN201910101171.6A 2019-01-31 2019-01-31 Fingerprint identification determination method and fingerprint identification determination device Pending CN111506246A (en)

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