WO2019062660A1

WO2019062660A1 - Fingerprint recognition method and device, terminal, and computer readable storage medium

Info

Publication number: WO2019062660A1
Application number: PCT/CN2018/106950
Authority: WO
Inventors: 刘树勋; 田锦程; 王运华
Original assignee: 敦泰电子有限公司
Priority date: 2017-09-26
Filing date: 2018-09-21
Publication date: 2019-04-04
Also published as: CN109558772A; CN109558772B

Abstract

A fingerprint recognition method and device, a terminal, and a computer readable storage medium, the method comprising: determining whether an average grayscale value corresponding to grayscale value data scanned by a partial fingerprint detection array exceeds a first threshold; if the first threshold is exceeded, calculating the discrete degree of the grayscale value data; determining whether the discrete degree is within a start range; and if it is within the start range, starting all the fingerprint detection arrays for fingerprint scanning. The method starts all the fingerprint detection arrays only when an object within a terminal fingerprint recognition area is determined as a fingerprint, that is to say, whether the surface texture of the object complies with features of the fingerprint, preventing all the fingerprint detection arrays from being turned on due to an erroneous determination, and reducing terminal power consumption.

Description

Method, device, terminal and computer readable storage medium for fingerprint identification

The present application claims priority to the Chinese Patent Application, filed on Sep. 26, 2017, with the application number No. 201710883702.2, entitled "A method, apparatus, terminal, and computer readable storage medium for fingerprint identification". The entire contents are incorporated herein by reference.

Technical field

The present invention relates to the field of touch detection technologies, and in particular, to a method, an apparatus, a terminal, and a computer readable storage medium for fingerprint recognition.

Background technique

At present, the application of fingerprint recognition technology is more and more widely used, especially in mobile terminals as an identification means. A fingerprint detection array is generally used to perform fingerprint recognition work. The fingerprint detection array performs full array scanning according to a preset frequency to obtain fingerprint data. When it is recognized that there is a finger touch according to the fingerprint data, a fingerprint image is formed for fingerprint recognition. That is, the method requires the fingerprint detection array to be in the working state of the full array scan, which causes the power consumption of the mobile terminal to be large. Therefore, how to reduce the power consumption when the terminal performs fingerprint recognition is a technical problem that a person skilled in the art needs to solve.

Summary of the invention

An object of the present invention is to provide a method, a device, a terminal, and a computer readable storage medium for fingerprint recognition, which prevent all fingerprint detection arrays from being turned on due to misjudgment and reduce terminal power consumption.

The invention provides a method for fingerprint recognition, the method comprising:

Determining whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detection array exceeds a first threshold;

If the first threshold is exceeded, calculating a degree of dispersion of the gray value data;

Determining whether the degree of dispersion is within a starting range;

If within the startup range, all fingerprint detection arrays are activated for fingerprint scanning.

The invention also provides a device for fingerprint recognition, comprising:

a first determining module, configured to determine whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detecting array exceeds a first threshold;

a discreteness calculation module, configured to calculate a degree of dispersion of the gray value data when the average gray value exceeds the first threshold;

a second determining module, configured to determine whether the degree of dispersion is within a startup range;

And a startup module, configured to: when the degree of dispersion is within the startup range, initiate all fingerprint detection arrays for fingerprint scanning.

The invention also provides a terminal with a fingerprint identification function, comprising:

a memory for storing a computer program;

The processor, when executed to execute the computer program, implements the following steps:

If the first threshold is exceeded, the degree of dispersion of the gray value data is calculated;

Determine whether the degree of dispersion is within the starting range;

If it is within the startup range, all fingerprint detection arrays are activated for fingerprint scanning. The present invention also provides a computer readable storage medium having stored thereon a computer program that, when executed by a processor, implements the following steps:

Determine whether the degree of dispersion is within the starting range;

If it is within the startup range, all fingerprint detection arrays are activated for fingerprint scanning.

The present invention provides a fingerprint identification method for determining whether an average gray value corresponding to a gray value data scanned by a partial fingerprint detection array exceeds a first threshold; if the first threshold is exceeded, the gray is calculated. The degree of dispersion of the degree data; determine whether the degree of dispersion is within the startup range; if within the startup range, initiate all fingerprint detection arrays for fingerprint scanning. That is, only when the above conditions are satisfied (when determining that the object in the fingerprint identification area of the terminal is a fingerprint, that is, the surface texture of the object conforms to the characteristics of the fingerprint), all the fingerprint detection arrays are started to perform fingerprint scanning, thereby avoiding the false determination of the fingerprint object. All the fingerprint detection arrays are turned on, which reduces the power consumption of the terminal. The invention also provides a device for fingerprint identification, a terminal and a computer readable storage medium, which have the above-mentioned beneficial effects, and are not described herein again.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can obtain other drawings according to the provided drawings without any creative work.

FIG. 1 is a flowchart of a method for fingerprint identification according to an embodiment of the present invention;

2 is a schematic flowchart of a specific fingerprint identification method according to an embodiment of the present invention;

3 is a schematic diagram of a fingerprint detection array according to an embodiment of the present invention;

4 is a schematic diagram of a state in a working process of a partial fingerprint detection array according to an embodiment of the present invention;

FIG. 5 is a structural block diagram of an apparatus for fingerprint identification according to an embodiment of the present invention;

FIG. 6 is a structural block diagram of another apparatus for fingerprint identification according to an embodiment of the present invention;

FIG. 7 is a structural block diagram of a terminal with a fingerprint identification function according to an embodiment of the present invention.

Detailed ways

The invention provides a fingerprint identification method, device, terminal and computer readable storage medium, which avoids opening all fingerprint detection arrays caused by misjudgment and reduces terminal power consumption.

The technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. It is a partial embodiment of the invention, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

The current fingerprint detection array initiates detection of all fingerprint detection arrays when there is an object in the fingerprint recognition area. It is impossible to distinguish between smooth skin or other conductors such as keys, which may cause a false triggering situation, resulting in an erroneous operation of the mobile terminal without the user's knowledge, and reducing the user experience. For example, when the user puts the mobile phone into the trouser pocket, the skin of the leg may always trigger the detection of all the fingerprint detection arrays; and if there are smooth conductors such as keys or coins in the trouser pocket, and the conductors and the identification area are partially in contact, It may trigger the detection of all fingerprint detection arrays. In this embodiment, the accuracy of starting the fingerprint scanning of all the fingerprint detection arrays is improved, thereby reducing the power consumption of the terminal, and the terminal is provided with a function of preventing false triggering. Please refer to FIG. 1 , which is a flowchart of a method for fingerprint identification according to an embodiment of the present invention; the method may include:

S110. Determine whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detection array exceeds a first threshold.

Specifically, in this embodiment, the fingerprint detection array is divided into a partial fingerprint detection array and all the fingerprint detection arrays, and the partial fingerprint detection array is used for the fingerprint identification area (that is, the area for detecting the fingerprint exists in the terminal, the embodiment is not correct. The shape, position, and the like of the area are limited, and only the area is used for collecting fingerprint information. The existing object is initially identified to exclude other objects that are not fingerprints, such as smooth skin or coin keys. The screening of partial fingerprint detection arrays can improve the reliability of starting fingerprint scanning of all fingerprint detection arrays, that is, avoiding that all fingerprint detection arrays are always in the working state of full array scanning, and the power consumption of the terminals is large, and false triggering is avoided. Fingerprint recognition improves the accuracy of fingerprint recognition of terminals.

Among them, part of the fingerprint detection array is part of all fingerprint detection arrays. Users can specify according to their needs. In this embodiment, the selection of the partial fingerprint detection array is not limited, that is, the proportion of the partial fingerprint detection array in all the fingerprint detection arrays, and the position of the partial fingerprint detection array in all the fingerprint detection arrays are not limited.

This step can initially exclude the situation that the contact area with the fingerprint recognition area is small by comparing the average gray value with the first threshold, because in general, the user needs to open the terminal or need to perform fingerprint recognition. Covered in the fingerprint identification area of the terminal. Therefore, at this time, the fingerprint recognition area can be covered almost by the fingertip. When the coverage area of the object in the fingerprint recognition area is very small, it can be considered that the fingerprint recognition operation is not performed. This embodiment does not limit the size of the specific first threshold.

In this embodiment, the average gray value is obtained by averaging the gray value data scanned by the partial fingerprint detecting array. This embodiment does not limit the triggering process of the gray value data scanned by the partial fingerprint detection array. In this embodiment, step S110 is performed as long as the average gray value corresponding to the gray value data scanned by the partial fingerprint detection array is obtained.

For example, in this embodiment, the terminal may use a partial fingerprint detection array to scan, and compare the average gray value corresponding to the gray value data scanned by the partial fingerprint detection array with the first threshold. Alternatively, when a certain condition is met, the partial fingerprint detection array is used for scanning, and the corresponding gray value of the gray value data scanned by the partial fingerprint detection array is compared with the first threshold (this is not a certain condition). By limiting, you can choose a less power-consuming way to perform screening tests). The latter can further save power consumption of the terminal compared to the former. For example, it can be detected by capacitance or optical fingerprint detection. If the selection of the capacitance detection is performed to trigger the use of the partial fingerprint detection array for scanning, the determination may be included before determining whether the average gray value corresponding to the gray value data scanned by the partial fingerprint detection array exceeds the first threshold. :

Detecting the capacitance value on the capacitor electrode;

Determine whether the capacitance value exceeds the capacitance threshold;

If the capacitance threshold is exceeded, a partial fingerprint detection array is activated to perform fingerprint scanning to obtain gray value data.

Specifically, in the specific embodiment, the preliminary finger detection of the fingerprint identification area of the terminal is realized by using the capacitor electrode, that is, the preliminary finger detection of the fingerprint identification area of the terminal is realized by using the capacitance detection. That is, in order to achieve low power consumption, the fingerprint detection array is turned off when no finger touches the fingerprint recognition area, and the preliminary finger detection is performed by means of capacitance detection. When the capacitance value exceeds the capacitance threshold, it is initially determined that there is a finger touch. At this time, the partial fingerprint detection array is opened for fingerprint scanning to obtain the gray value on the sensing unit corresponding to the partial fingerprint detection array. The gray value data here includes a collection of gray values on the corresponding sensing units obtained by fingerprint scanning of all partial fingerprint detection arrays. That is, the low-power detection method such as self-capacity detection is used for preliminary judgment, and the power consumption of the terminal can be reduced. This test can be ended if the capacitance threshold is not exceeded. That is, it is possible to return to the step of continuing to perform the detection of the capacitance value on the capacitor electrode. This embodiment does not limit the specific form of capacitance detection. For example, it may be self-capacity detection or mutual capacitance detection.

S120. If the first threshold is exceeded, calculate the degree of dispersion of the gradation value data.

Specifically, if the average gray value exceeds the first threshold, it is proved that a conductor (which can be understood as an object to be detected on the fingerprint recognition area) contacts the surface of the fingerprint array at this time, and the contact area is sufficiently large. However, at this time, it is not excluded from other objects such as coins or smooth skin. Therefore, in order to improve the accuracy, all the fingerprint detection arrays caused by misjudgment are avoided, and the power consumption of the terminal is reduced. Further, it is necessary to further determine whether the surface of the conductor is uneven, that is, whether the surface texture of the object conforms to the characteristics of the fingerprint, thereby avoiding the fingerprint array. When the detection column is covered by a smooth conductor such as a key, all the fingerprint detection arrays are triggered to be detected for power consumption, or are triggered by other conductors with particularly rough texture. That is, if the first threshold is exceeded, the degree of dispersion of the gradation data is calculated. Whether the object in the fingerprint identification area of the terminal is a fingerprint, that is, whether the surface texture of the object conforms to the characteristics of the fingerprint is determined by the degree of dispersion.

The number of gradation value data used in calculating the degree of dispersion is not limited in this embodiment. The degree of dispersion may be calculated using all of the gray value data, or the gray value data of the selected portion may be used to calculate the degree of dispersion. The embodiment does not limit the specific selection manner, and may be randomly selected, or may be selected according to the closeness of the contact object corresponding to the gray value (for example, selecting close contact). By further screening, for example, selecting the gray value data of the sensing unit corresponding to the fingerprint detecting array in close contact is more accurate, and the accuracy of the recognition can be improved. Here, the activation range of the corresponding setting may be changed due to the range of the calculation data selection. This embodiment is not limited herein.

If the first threshold is not exceeded, the current test is terminated and the initial step is returned. For example, it is possible to return to the step of continuing to perform the detection of the capacitance value on the capacitor electrode.

S130. Determine whether the degree of dispersion is within the startup range.

Specifically, after calculating the degree of dispersion, it can be determined whether the value of the degree of dispersion satisfies the starting condition, that is, whether it is within the starting range. The start range here is a gray value interval, for example, a value exceeding the lower limit gray value (ie, the lower limit threshold) is less than the upper limit gray value (ie, the upper limit threshold), or a range larger than the set gray value. This embodiment does not limit the specific numerical value of the starting range.

Optionally, determining whether the degree of dispersion is within the startup range includes:

Determining whether the degree of dispersion is greater than a preset third dispersion degree threshold; if greater than, determining to be within a startup range.

Specifically, the embodiment does not limit the size of the third degree of dispersion threshold, and may be determined according to actual conditions. If the starting range only sets the lower threshold, that is, the third dispersion threshold, when the degree of dispersion is less than the third dispersion threshold, the object is not a fingerprint, but a smooth conductor such as a smooth skin or a key. Therefore, the third discrete degree threshold can avoid the problem of false touches caused by smooth conductors such as skin, keys and the like. Improve the accuracy of fingerprint triggering. Further, the object at this time is likely to be a fingerprint, but there is also a degree of dispersion corresponding to a conductor that is coarser than the fingerprint, which is also within the starting range. Therefore, in order to avoid the problem of false touch caused by a rougher conductor, it is optional to determine whether the degree of dispersion is within the starting range:

Determining whether the degree of dispersion is greater than a preset third dispersion degree threshold and less than a preset fourth dispersion degree threshold; if yes, determining to be within a startup range.

Specifically, the embodiment does not limit the size of the fourth dispersion degree threshold (ie, the upper threshold), and may be determined according to actual conditions. In this embodiment, by determining the range of the degree of dispersion corresponding to the fingerprint, the erroneous triggering of the smooth conductor smaller than the degree of dispersion of the fingerprint and the rough conductor larger than the degree of dispersion of the fingerprint is eliminated, thereby ensuring the reliability of the fingerprint triggering, thereby avoiding the fingerprint array. When the detection column is covered by a smooth conductor portion such as a key, the finger detection is always triggered to consume power, or it is triggered by another conductor having a particularly rough texture. That is, all fingerprint detection arrays caused by misjudgment are avoided, and the power consumption of the terminal is reduced.

The false triggering of the conductors such as smooth skin and keys is eliminated by steps S120 and S130.

S140. If it is within the startup range, start all fingerprint detection arrays for fingerprint scanning.

Specifically, if it is within the startup range, all fingerprint detection arrays are activated for fingerprint scanning. If it is not within the startup range, the test is terminated. For example, it is possible to return to the step of continuing to detect the capacitance value on the self-capacitance electrode.

This embodiment does not limit the process of fingerprint recognition after fingerprint scanning by all fingerprint detection arrays, as long as fingerprint recognition can be implemented, for example, optical fingerprint detection.

Based on the above technical solution, the fingerprint identification method provided by the embodiment of the present invention can determine that a conductor contacts the surface of the fingerprint detection array when the average gray value exceeds the first threshold, and the contact area is sufficiently large. Then, the degree of dispersion is used to further determine whether the surface of the conductor is uneven, that is, the surface texture of the conductor conforms to the characteristics of the fingerprint. Therefore, when the fingerprint detection array is covered by a smooth conductor portion such as a key, the entire fingerprint detection array is always triggered to be detected for power consumption, or is triggered by another conductor with particularly rough texture. That is, only when the degree of dispersion meets the condition, all fingerprint detection arrays are started to perform fingerprint scanning, which significantly improves the number of times all fingerprint detection arrays are turned on due to misjudgment of fingerprint objects, thereby reducing terminal power consumption.

Based on the above embodiment, in order to improve the reliability of the calculation of the degree of dispersion, the degree of dispersion of the gray value data may specifically include:

Selecting gray value data exceeding the second threshold from the gray value data as the preselected gray value data; wherein the second threshold is greater than the first threshold;

The corresponding degree of dispersion is calculated using the preselected gray value data.

The embodiment does not specifically limit the value of the second threshold.

Specifically, in the embodiment, the gray value data exceeding the second threshold is selected from the gray value data as the preselected gray value data, so as to ensure that the sensing units of the fingerprint detection array corresponding to the selected gray values are both Being in close contact with the conductor. That is, in the embodiment, it is determined whether the surface of the conductor is uneven, and the determining process is: selecting a sensing unit corresponding to a part of the fingerprint detecting array from the partial fingerprint detecting array, and the gray values on the sensing units need to exceed the second threshold. It is to ensure that these selected sensing units are in close contact with the conductors, and then calculate the dispersion of the gray values of the sensing units. When the degree of dispersion is within the value corresponding to the starting range (eg, exceeding the lower threshold and less than the upper threshold, or only exceeding the lower threshold), it is determined that the surface texture of the conductor conforms to the characteristics of the fingerprint. Therefore, when the fingerprint array is covered by the smooth conductor portion such as the key, the fingerprint detection array is always triggered to be detected for power consumption, or is triggered by another conductor with particularly rough texture. That is, only when the degree of dispersion satisfies the condition, all fingerprint detection arrays are started to perform fingerprint scanning, which significantly improves the number of times all the fingerprint detection arrays are turned on due to misjudgment of the fingerprint object, thereby reducing the power consumption of the terminal.

Further, when calculating the degree of dispersion, all of the preselected gradation value data may be used as the calculation source data, or the calculation amount may be selected by selecting a predetermined ratio of preselected gradation value data from the preselected gradation value data as the dispersion gradation. The value data is then calculated using the dispersion to calculate the corresponding degree of dispersion. The former calculates the degree of dispersion more accurately, while the latter calculates less amount of hardware resources, and the user can determine it according to the actual situation.

However, the numerical value of the predetermined ratio is not limited in the embodiment. For example, the predetermined ratio may be all pre-selected gray values, or may be 90% pre-selected gray values. Users can set according to the actual situation.

Referring to FIG. 2 below, a specific process of a specific fingerprint identification method is given. When the capacitance threshold is set to 2 pF, the first threshold is 100, the second threshold is 80, the lower threshold of the startup range (ie, the third dispersion threshold) is 15, and the upper threshold (ie, the fourth dispersion threshold) is 50. Referring to FIG. 3, assuming that the entire fingerprint detection array is 10x10, the gray grid in the figure below is a partial fingerprint detection array used for finger detection. Simulate a finger detection process based on the above thresholds as follows:

When the current state at time T1 is self-capacity detection, the capacitance value is detected as 1pF. Since 1pF<2pF threshold, the self-capacity detection is continued. When the current state at T2 is self-capacity detection, the capacitance value is detected as 2.2pF, due to 2.2pF. >2pF, thus opening part of the fingerprint detection array; the current state at time T3 is partial fingerprint detection array detection, and the average value of gray value obtained by some fingerprint detection arrays is 90. Since 90<100, part of the fingerprint detection array is closed. Continue to self-contained detection; when the current state of T4 is self-capacity detection, the self-capacity value is detected to be 2.1pF. Since 2.1pF>2pF, part of the fingerprint detection array is opened; the current state at time T5 is partial fingerprint detection array detection, part The average value of the gray value obtained by the fingerprint detection array is 105. Since 105>100, the next step is to select an effective contact sensing unit from the partial fingerprint detection array; the current state at time T6 is to select a part of the effective contact sensing unit, and the gray value (The sensing value of the sensing unit) may be the corresponding gray value obtained at time T5, and may be selected according to the second threshold. For example, the result of the selection is as follows: the dark gray grid shown in FIG. 4, that is, the gray value corresponding to the dark gray grid is More than 80, and the gray value corresponding to the light gray grid is less than 80; the current state at time T7 is the degree of dispersion of calculating the gray value of the effective contact sensing unit, and the gray value (the sensing value of the sensing unit) is obtained using the time T5. Corresponding gray value can be used. It is assumed that the calculated degree of dispersion is 20, because 15<20 and 20<50, it is judged that this is effective finger detection.

Based on the foregoing embodiment, in order to improve the reliability of each setting threshold, the embodiment may further include:

Counting the number of times in which the discrete degree is not within the starting range within a predetermined time;

When the number of times is greater than the number of times threshold, a message is sent.

Specifically, the embodiment does not limit the specific predetermined time and the value of the number of times threshold, but this time should be a small time interval. For example 10 seconds. That is, if the number of times in which the degree of dispersion is not within the starting range within 10 seconds (that is, the conductor in the fingerprint recognition area is considered to be not a finger) exceeds the threshold of the number of times, a prompt message is issued. The prompt information can prompt the user, so that the user can adjust according to the actual situation, for example, the non-fingerprint contact, or the user uses the finger but has a misjudgment, and the adjustment range can be adaptively adjusted at this time. The terminal may also be prompted to receive the feedback information of the user after receiving the prompt information, and adjust the startup range according to the feedback information of the user. That is, through the prompt information, the reliability of the startup range can be ensured, and the recognition accuracy can be improved while reducing the power consumption of the terminal, thereby improving the user experience.

The apparatus for identifying fingerprints, the terminal, and the computer readable storage medium provided by the embodiments of the present invention are described below. The apparatus, terminal, and computer readable storage medium described below and the fingerprint identification method described above can be mutually referenced. .

Please refer to FIG. 5. FIG. 5 is a schematic structural diagram of a device for fingerprint identification according to an embodiment of the present invention;

The first determining module 100 is configured to determine whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detecting array exceeds a first threshold;

The discreteness calculation module 200 is configured to calculate a degree of dispersion of the gray value data when the average gray value exceeds the first threshold;

The second determining module 300 is configured to determine whether the degree of dispersion is within the startup range;

The startup module 400 is configured to start all fingerprint detection arrays for fingerprint scanning when the degree of dispersion is within the startup range.

Based on the above embodiment, referring to FIG. 6, the apparatus may further include:

The capacitance detecting module 500 is configured to detect a capacitance value on the capacitor electrode;

The third determining module 600 is configured to determine whether the capacitance value exceeds a capacitance threshold;

The detecting module 700 is configured to start a partial fingerprint detecting array to perform fingerprint scanning to obtain gray value data when the capacitance value exceeds the capacitance threshold.

Based on any of the above embodiments, the discreteness calculation module 200 can include:

a first selection unit, configured to select gray value data exceeding a second threshold from the gray value data as the preselected gray value data; wherein the second threshold is greater than the first threshold;

A discreteness calculation unit is configured to calculate a corresponding degree of dispersion using the preselected gray value data.

Based on any of the above embodiments, the apparatus may further include:

The prompting module is configured to count the number of times that the discrete degree of occurrence is not within the starting range within a predetermined time; when the number of times is greater than the threshold of the number of times, a prompt message is sent.

Please refer to FIG. 7. FIG. 7 is a structural block diagram of a terminal with a fingerprint identification function according to an embodiment of the present invention. The terminal may vary considerably depending on configuration or performance, and may include one or more central processing units (CPU) 810 (eg, one or more processors) and memory 832, one or more stores. Application 842 or storage medium 830 of data 844 (eg, one or one storage device in Shanghai). Among them, the memory 832 and the storage medium 830 may be short-term storage or persistent storage. Memory 832 and storage medium 830 may also exist as a unified memory. The program stored on storage medium 830 may include one or more modules (not shown), each of which may include a series of instruction operations in the terminal. Still further, the processor 812 can be configured to communicate with the storage medium 830 to perform a series of instruction operations in the storage medium 830 on the terminal 800.

Terminal 800 may also include one or more power supplies 826, one or more wired or wireless network interfaces 850, one or more input and output interfaces 858, and/or one or more operating systems 841, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM and more.

The steps in the method of fingerprint recognition described above with reference to FIGS. 1 through 4 are implemented by the terminal based on the structure shown in FIG.

A person skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the terminal embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be another division manner, for example, multiple modules or units may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device, module or unit, and may be electrical, mechanical or otherwise.

The units described as separate components may or may not be physically separate, and the components displayed as modules or units may or may not be physical modules or units, ie may be located in one place, or may be distributed to multiple network modules. Or on the unit. Some or all of the modules or units may be selected according to actual needs to achieve the objectives of the solution of the embodiment.

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

An integrated unit, if implemented as a software function module or unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application, in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, a function invoking device, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

The steps in the method of each embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs. The modules and units in the devices and terminals of the embodiments of the present invention may be combined, divided, and deleted according to actual needs.

The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

A person skilled in the art will further appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software or a combination of both, in order to clearly illustrate the hardware and software. Interchangeability, the composition and steps of the various examples have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented directly in hardware, a software module executed by a processor, or a combination of both. The software module can be placed in random access memory (RAM), memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field. Any other form of storage medium known.

The method, device, terminal and computer readable storage medium for fingerprint identification provided by the present invention are described in detail above. The principles and embodiments of the present invention have been described herein with reference to specific examples, and the description of the above embodiments is only to assist in understanding the method of the present invention and its core idea. It should be noted that those skilled in the art can make various modifications and changes to the present invention without departing from the spirit and scope of the invention.

Claims

A method for fingerprint identification, the method comprising:

Determining whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detection array exceeds a first threshold;

If the first threshold is exceeded, calculating a degree of dispersion of the gray value data;

Determining whether the degree of dispersion is within a starting range;

If within the startup range, all fingerprint detection arrays are activated for fingerprint scanning.
The method according to claim 1, wherein the determining whether the average gray value corresponding to the gray value data scanned by the partial fingerprint detection array exceeds the first threshold further comprises:

Detecting the capacitance value on the capacitor electrode;

Determining whether the capacitance value exceeds a capacitance threshold;

If the capacitance threshold is exceeded, the partial fingerprint detection array is activated to perform fingerprint scanning to obtain the gray value data.
The method according to claim 1 or 2, wherein calculating the degree of dispersion of the gray value data comprises:

Selecting gray value data exceeding the second threshold from the gray value data as preselected gray value data; wherein the second threshold is greater than the first threshold;

The corresponding degree of dispersion is calculated using the preselected gray value data.
The method according to claim 1, wherein the determining whether the degree of dispersion is within a startup range comprises:

Determining whether the degree of dispersion is greater than a preset third dispersion degree threshold;

If it is greater than, it is judged to be within the startup range.
The method of claim 3, further comprising:

Counting the number of times that the degree of dispersion is not within the startup range continuously within a predetermined time;

When the number of times is greater than the number of times threshold, a prompt message is issued.
A device for fingerprint recognition, comprising:

a first determining module, configured to determine whether an average gray value corresponding to the gray value data scanned by the partial fingerprint detecting array exceeds a first threshold;

a discreteness calculation module, configured to calculate a degree of dispersion of the gray value data when the average gray value exceeds the first threshold;

a second determining module, configured to determine whether the degree of dispersion is within a startup range;

And a startup module, configured to: when the degree of dispersion is within the startup range, initiate all fingerprint detection arrays for fingerprint scanning.
The device according to claim 6, further comprising:

a capacitance detecting module for detecting a capacitance value on the capacitor electrode;

a third determining module, configured to determine whether the capacitance value exceeds a capacitance threshold;

And a detecting module, configured to: when the capacitance value exceeds the capacitance threshold, start the partial fingerprint detection array to perform fingerprint scanning to obtain the gray value data.
The apparatus according to claim 6 or 7, wherein the discreteness calculation module comprises:

a first selection unit, configured to select gray value data exceeding the second threshold from the gray value data as preselected gray value data; wherein the second threshold is greater than the first threshold;

And a discreteness calculation unit configured to calculate a corresponding degree of dispersion by using the preselected gray value data.
A terminal having a fingerprint identification function, comprising:

a memory for storing a computer program;

A processor, the method of implementing the method of fingerprint recognition according to any one of claims 1 to 5 when the computer program is executed.
A computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the fingerprint recognition method according to any one of claims 1 to 5. A step of.