CN112100596A - Fingerprint encryption starting method, system, storage medium and mobile terminal - Google Patents
Fingerprint encryption starting method, system, storage medium and mobile terminal Download PDFInfo
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- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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Abstract
The application provides a fingerprint encryption starting method, a fingerprint encryption starting system, a storage medium and a mobile terminal. This application carries out the gesture action with the finger on fingerprint inductor surface through the user, can carry out fingerprint collection and fingerprint verification when the gesture action accords with preset gesture, prevents that other people from unblock through the fingerprint mould to improve mobile terminal's security, also can save the electric quantity of fingerprint sensor during operation simultaneously.
Description
Technical Field
The application relates to the technical field of mobile communication, in particular to a fingerprint encryption starting method, a fingerprint encryption starting system, a fingerprint encryption starting storage medium and a mobile terminal.
Background
Some mobile terminals currently have a fingerprint sensor for detecting a user's fingerprint input. In the existing mobile terminals, a user needs to put a finger on a fingerprint sensor, the fingerprint sensor collects the fingerprint on the surface of the user finger and compares the fingerprint with the previously stored effective fingerprint, and corresponding operations, such as unlocking and the like, are performed when the comparison is completed. Above-mentioned fingerprint inductor only needs to gather the fingerprint, and mobile terminal mostly adopts materials such as smooth glass, plastics, metal, and the user leaves the fingerprint on the surface of mobile terminal above-mentioned material very easily when daily use mobile terminal, and this has just provided the opportunity for other people to gather user's fingerprint, and other people produce the fingerprint mould after having gathered user's fingerprint from mobile terminal, can also use this mould to carry out user's operation, causes mobile terminal's security to descend.
Therefore, the present application provides a fingerprint encryption starting method, system, storage medium and mobile terminal to solve the above problems.
Disclosure of Invention
The embodiment of the application provides a fingerprint encryption starting method, a fingerprint encryption starting system, a storage medium and a mobile terminal, and solves the safety problem of a user during fingerprint unlocking.
According to a first aspect of the present application, an embodiment of the present application provides a fingerprint encryption starting method, which is applied to a mobile terminal, and the fingerprint encryption starting method includes: collecting a fingerprint input graph of a user; acquiring the geometric gravity center of the fingerprint input graph; repeatedly acquiring a fingerprint input graph of a user and acquiring the operation of the geometric gravity center of the fingerprint input graph to acquire fingerprint input characteristics, wherein the fingerprint input characteristics are the moving tracks of the geometric gravity centers acquired in sequence; acquiring a fingerprint gesture, wherein the fingerprint gesture comprises at least one fingerprint input feature; judging whether the matching degree of the fingerprint gesture and a preset gesture is greater than or equal to a preset matching degree; and when the matching degree of the fingerprint gesture and the preset gesture is judged to be more than or equal to a preset matching degree, fingerprint information is collected and verified.
Further, the fingerprint encryption starting method further comprises the following steps: and when the matching degree of the fingerprint gesture and the preset gesture is judged to be smaller than a preset matching degree, stopping fingerprint acquisition operation.
Further, in the step of obtaining the geometric barycenter of the fingerprint input pattern, the method comprises: normalizing the collected fingerprint input graph; acquiring a regular fingerprint input graph; and calculating the regular fingerprint input pattern as a geometric center of gravity of the fingerprint input pattern.
Further, in the step of repeating the above operation to obtain the fingerprint input feature, the method includes: acquiring the position of the geometric gravity center acquired for the Nth time in the geometric gravity center acquired for the (N-1) th time, wherein N is an integer larger than 1; and acquiring the fingerprint input features according to the orientation.
Further, the movement trajectory of the geometric center of gravity is continuous, and each geometric center of gravity is acquired for determining a fingerprint input feature.
According to a second aspect of the present application, an embodiment of the present application provides a fingerprint encryption starting system, which is applied to a mobile terminal, and the fingerprint encryption starting system includes: the fingerprint encryption starting system comprises: the area acquisition module is used for acquiring a fingerprint input graph of a user; the first acquisition module is used for acquiring the geometric gravity center of the fingerprint input graph; the fingerprint input device comprises a repeating module, a judging module and a judging module, wherein the repeating module is used for repeatedly acquiring a fingerprint input graph of a user and acquiring the operation of the geometric gravity center of the fingerprint input graph so as to acquire fingerprint input characteristics, and the fingerprint input characteristics are moving tracks of the geometric gravity center acquired in sequence; a second acquisition module for acquiring a fingerprint gesture, the fingerprint gesture comprising at least one fingerprint input feature; the judging module is used for judging whether the matching degree of the fingerprint gesture and the preset gesture is greater than or equal to a preset matching degree; and the verification module is used for collecting fingerprint information and verifying the fingerprint information when judging that the matching degree of the fingerprint gesture and the preset gesture is greater than or equal to a preset matching degree.
Further, the first obtaining module comprises: the normalization unit is used for normalizing the acquired fingerprint input graph; an acquisition unit for acquiring a regular fingerprint input pattern; and a calculation unit for calculating the regular fingerprint input pattern as a geometric centroid of the fingerprint input pattern.
Further, the repetition module includes: the azimuth acquisition unit is used for acquiring the azimuth that the geometric gravity center acquired for the Nth time is positioned at the geometric gravity center acquired for the (N-1) th time, wherein N is an integer larger than 1; and the characteristic acquisition unit is used for acquiring the fingerprint input characteristics according to the direction.
According to a third aspect of the present application, an embodiment of the present application provides a storage medium having a plurality of instructions stored therein, the instructions being adapted to be loaded by a processor to perform the fingerprint encryption startup method described above.
According to a fourth aspect of the present application, an embodiment of the present application provides a mobile terminal, which includes a processor and a memory, where the processor is electrically connected to the memory, the memory is used to store instructions and data, and the processor is used to execute the steps in the fingerprint encryption starting method.
The embodiment of the application provides a fingerprint encryption starting method, a fingerprint encryption starting system, a storage medium and a mobile terminal. The beneficial effect of this application lies in: carry out the gesture action with the finger on fingerprint inductor surface through the user, can carry out fingerprint collection and fingerprint verification when the gesture action accords with preset gesture, prevent that other people from unblock through the fingerprint mould to improve mobile terminal's security, also can save the electric quantity of fingerprint sensor during operation simultaneously.
Drawings
The technical solution and other advantages of the present application will become apparent from the detailed description of the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart illustrating steps of a fingerprint encryption starting method according to an embodiment of the present application.
Fig. 2 is a flowchart illustrating a specific step of step S12 shown in fig. 1.
FIG. 3 is a flowchart illustrating a specific step of step S13 shown in FIG. 1
Fig. 4 is a schematic structural diagram of a fingerprint encryption starting system according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of the first obtaining module shown in fig. 4.
Fig. 6 is a schematic structural diagram of the repeating module shown in fig. 4.
Fig. 7 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.
Fig. 8 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," and the like in the description and in the claims of the present application and in the above-described drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so described are interchangeable under appropriate circumstances. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
In particular embodiments, the drawings discussed below and the various embodiments used to describe the principles of the present disclosure are by way of illustration only and should not be construed to limit the scope of the present disclosure. Those skilled in the art will understand that the principles of the present application may be implemented in any suitably arranged system. Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. Further, a mobile terminal according to an exemplary embodiment will be described in detail with reference to the accompanying drawings. Like reference symbols in the various drawings indicate like elements.
The terminology used in the detailed description is for the purpose of describing particular embodiments only and is not intended to be limiting of the concepts of the present application. Unless the context clearly dictates otherwise, expressions used in the singular form encompass expressions in the plural form. In the present specification, it will be understood that terms such as "including," "having," and "containing" are intended to specify the presence of the features, integers, steps, acts, or combinations thereof disclosed in the specification, and are not intended to preclude the presence or addition of one or more other features, integers, steps, acts, or combinations thereof. Like reference symbols in the various drawings indicate like elements.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; may be mechanically connected, may be electrically connected or may be in communication with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
The following disclosure provides many different embodiments or examples for implementing different features of the application. In order to simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. Moreover, the present application may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, examples of various specific processes and materials are provided herein, but one of ordinary skill in the art may recognize applications of other processes and/or use of other materials.
Specifically, referring to fig. 1, an embodiment of the present application provides a fingerprint encryption starting method, where the fingerprint encryption starting method is used for a mobile terminal, and includes the following steps.
And step S11, collecting the fingerprint input pattern of the user.
In one embodiment of the present application, a fingerprint input pattern of a user in a fingerprint input area is collected by a fingerprint sensor. The fingerprint input area is typically located on the front or back of the mobile terminal, but may also be located on the side. The fingerprint input area is the most convenient position for the user to operate when the user holds the mobile terminal, and can be placed at any other position on the surface of the mobile terminal or on an internal structure of the mobile terminal, and the internal structure can be pulled out to the outside for inputting the fingerprint of the user.
And step S12, acquiring the geometric gravity center of the fingerprint input graph.
Referring to fig. 2, step S12 includes steps S21 through S23.
And step S21, normalizing the acquired fingerprint input pattern.
In step S22, a regular fingerprint input pattern is obtained.
In the embodiment of the present application, since most of the collected fingerprint input patterns are irregular patterns, the geometric barycenter of the collected fingerprint input patterns is difficult to be determined by a mathematical formula, and therefore, the collected fingerprint input patterns need to be normalized to obtain regular fingerprint input patterns.
And step S23, calculating the regular fingerprint input pattern as the geometric barycenter of the fingerprint input pattern.
In the embodiment of the present application, the geometric barycenter of the fingerprint input pattern is calculated by a mathematical formula (such as, but not limited to, an integral method).
And step S13, repeatedly acquiring the fingerprint input graph of the user and acquiring the geometric gravity center of the fingerprint input graph to acquire fingerprint input characteristics, wherein the fingerprint input characteristics are the movement tracks of the geometric gravity center acquired in sequence.
In the embodiment of the application, the movement tracks of the geometric barycenter are continuous, and each geometric barycenter is acquired and used for determining a fingerprint input feature.
Referring to fig. 3, step S13 includes steps S31 through S32.
In step S31, the geometric center of gravity acquired the Nth time is acquired as being positioned at the position of the geometric center of gravity acquired the N-1 st time.
And step S32, acquiring the fingerprint input characteristics according to the orientation.
In the embodiment of the present application, the geometric centroid is set as the fingerprint input feature point a, and the other four fingerprint feature points B, C, D and E are determined, where point B is located above point a, point C is located below point a, point D is located on the left of point a, point E is located on the right of point a, point BD is a midpoint between point B and point D, point BE is a midpoint between point B and point E, point CD is a midpoint between point C and point D, and point CE is a midpoint between point C and point E.
The geometric gravity center obtained at the Nth time is X, and which point in B, C, D, E, B, BD, BE, CD and CE is the X is determined according to the position of the X point and the point A, so that fingerprint input features such as AB, AC, AD, AE, ABD, ABE, ACD and ACE are determined.
Specifically, if the geometric centroid X of the second acquisition is located to the right of point a, the first fingerprint input feature is AE. If the third acquired geometric center of gravity X' is located at the upper right of X, then the second fingerprint input feature is ABE. Repeating the above process can obtain a series of fingerprint input characteristics to form a fingerprint gesture.
Step S14, a fingerprint gesture is obtained, the fingerprint gesture including at least one fingerprint input feature.
In the embodiment of the present application, the fingerprint gesture is obtained according to the above fingerprint input feature combination, and the fingerprint gesture may be regarded as a movement track of a geometric center of gravity, where the movement track of the geometric center of gravity is continuous.
Step S15, determining whether the matching degree between the fingerprint gesture and the preset gesture is greater than or equal to a preset matching degree.
In an embodiment of the application, the fingerprint gesture is matched with a preset gesture through the feature points, wherein the preset gesture is a gesture prestored in the setting by a user.
And step S16, when the matching degree of the fingerprint gesture and the preset gesture is judged to be more than or equal to a preset matching degree, fingerprint information is collected and verified.
In this application embodiment, if the fingerprint gesture and whether the degree of matching of predetermineeing the gesture is greater than or equal to when predetermineeing the matching degree, just gather the fingerprint and verify the validity of fingerprint, prevent that other people from unblock through the fingerprint mould to improve mobile terminal's security, also can save the electric quantity of fingerprint sensor during operation simultaneously.
And step S17, when the matching degree of the fingerprint gesture and the preset gesture is judged to be less than a preset matching degree, stopping fingerprint acquisition operation.
In the embodiment of the application, through implementation of the steps, other people can be prevented from unlocking through the fingerprint mold, so that the safety of the mobile terminal is improved, and meanwhile, the electric quantity of the fingerprint sensor during working can be saved.
Referring to fig. 4, in an embodiment of the present application, a fingerprint encryption starting system is provided, and the fingerprint encryption starting method is used for a mobile terminal. The fingerprint encryption starting system comprises an area acquisition module 401, a first acquisition module 402, a repetition module 403, a second acquisition module 404, a judgment module 405 and a verification module 406.
The area collecting module 401 is used for collecting the fingerprint input image of the user.
In the embodiment of the application, the fingerprint input graph of the user in the fingerprint input area is collected through the fingerprint sensor. The fingerprint input area is typically located on the front or back of the mobile terminal, but may also be located on the side. The fingerprint input area is the most convenient position for the user to operate when the user holds the mobile terminal, and can be placed at any other position on the surface of the mobile terminal or placed on an internal structure of the mobile terminal, and the internal structure can be pulled out to the outside for inputting the fingerprint of the user.
The first obtaining module 402 is used for obtaining the geometric gravity center of the fingerprint input graph.
Referring to fig. 5, the first obtaining module 402 includes a normalizing unit 501, a obtaining unit 502, and a calculating unit 503.
The normalization unit 501 is used for normalizing the acquired fingerprint input pattern.
The obtaining unit 502 is used for obtaining a regular fingerprint input pattern.
In the embodiment of the application, since most of the collected fingerprint input patterns are irregular patterns, the geometric barycenter of the collected fingerprint input patterns is difficult to determine through a mathematical formula, and therefore the collected fingerprint input patterns need to be subjected to a normalization operation to obtain regular fingerprint input patterns.
The calculation unit 503 is configured to calculate the regular fingerprint input pattern as a geometric centroid of the fingerprint input pattern.
In the embodiments described herein, the geometric centroid of the fingerprint input pattern is calculated by a mathematical formula (e.g., an integral manner).
The repeating module 403 is configured to repeat operations of collecting a fingerprint input pattern of a user and obtaining a geometric center of gravity of the fingerprint input pattern, so as to obtain a fingerprint input feature, where the fingerprint input feature is a moving track of the geometric center of gravity obtained sequentially.
In the embodiments described herein, the movement trajectory of the geometric center of gravity is continuous, and each geometric center of gravity is acquired for determining a fingerprint input feature.
Referring to fig. 6 in combination, the repeat module 403 includes an orientation acquisition unit 601 and a feature acquisition unit 602.
The orientation acquisition unit 601 is configured to acquire an orientation in which the geometric center of gravity acquired at the nth time is located at the geometric center of gravity acquired at the (N-1) th time.
The feature obtaining unit 602 is configured to obtain the fingerprint input feature according to the orientation.
In the embodiment of the present application, the geometric centroid is set as the fingerprint input feature point a, and other 4 ge fingerprint feature points B, C, D and E are determined, where point B is located above point a, point C is located below point a, point D is located on the left of point a, point E is located on the right of point a, point BD is a midpoint between point B and point D, point BE is a midpoint between point B and point E, point CD is a midpoint between point C and point D, and point CE is a midpoint between point C and point E.
The geometric gravity center obtained at the Nth time is X, and which point in B, C, D, E, B, BD, BE, CD and CE is the X is determined according to the position of the X point and the point A, so that fingerprint input features such as AB, AC, AD, AE, ABD, ABE, ACD and ACE are determined.
Specifically, if the geometric centroid X of the second acquisition is located to the right of point a, the first fingerprint input feature is AE. If the third acquired geometric center of gravity X' is located at the upper right of X, then the second fingerprint input feature is ABE. The series of fingerprint input features obtained by repeating the above process form a fingerprint gesture.
The second obtaining module 404 is configured to obtain a fingerprint gesture, which includes at least one fingerprint input feature.
In the embodiment of the present application, the fingerprint gesture is obtained according to the above fingerprint input feature combination, and the fingerprint gesture may be regarded as a movement track of a geometric center of gravity, where the movement track of the geometric center of gravity is continuous.
The determining module 405 is configured to determine whether a matching degree between the fingerprint gesture and the preset gesture is greater than or equal to a preset matching degree.
In the embodiment of the application, the fingerprint gesture is matched with the preset gesture through the characteristic points, wherein the preset gesture is a gesture prestored in the setting by a user.
The verification module 406 is configured to collect fingerprint information and perform verification when it is determined that the matching degree between the fingerprint gesture and the preset gesture is greater than or equal to a preset matching degree.
In this application embodiment, if the fingerprint gesture and whether the degree of matching of predetermineeing the gesture is greater than or equal to when predetermineeing the matching degree, just gather the fingerprint and verify the validity of fingerprint, prevent that other people from unblock through the fingerprint mould to improve mobile terminal's security, also can save the electric quantity of fingerprint sensor during operation simultaneously.
In other embodiments, the fingerprint encryption activation system may further include a stop module (not shown). The stopping module is used for stopping fingerprint acquisition operation when judging that the matching degree of fingerprint gesture and preset gesture is less than a preset matching degree, can prevent like this that other people from unblock through the fingerprint mould to improve mobile terminal's security, also can save the electric quantity of fingerprint sensor during operation simultaneously.
Referring to fig. 7, an embodiment of the present application further provides a mobile terminal 700, where the mobile terminal 700 may be a mobile phone, a tablet, a computer, and other devices. As shown in fig. 7, the mobile terminal 700 includes a processor 701, a memory 702. The processor 701 is electrically connected to the memory 702.
The processor 701 is a control center of the mobile terminal 700, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by running or loading an application program stored in the memory 702 and calling data stored in the memory 702, thereby integrally monitoring the mobile terminal.
In this embodiment, the mobile terminal 700 is provided with a plurality of memory partitions, where the plurality of memory partitions includes a system partition and a target partition, and the processor 701 in the mobile terminal 700 loads instructions corresponding to processes of one or more application programs into the memory 702 according to the following steps, and the processor 701 runs the application programs stored in the memory 702, so as to implement various functions:
collecting a fingerprint input graph of a user;
acquiring the geometric gravity center of the fingerprint input graph;
repeatedly acquiring a fingerprint input graph of a user and acquiring the operation of the geometric gravity center of the fingerprint input graph to acquire fingerprint input characteristics, wherein the fingerprint input characteristics are the moving tracks of the geometric gravity centers acquired in sequence;
acquiring a fingerprint gesture, wherein the fingerprint gesture comprises at least one fingerprint input feature;
judging whether the matching degree of the fingerprint gesture and a preset gesture is greater than or equal to a preset matching degree;
and when the matching degree of the fingerprint gesture and the preset gesture is judged to be more than or equal to a preset matching degree, fingerprint information is collected and verified.
Referring to fig. 8, fig. 8 is a specific block diagram of a mobile terminal 800 according to an embodiment of the present disclosure, where the mobile terminal 800 may be used to implement the calibration method for radio frequency parameters according to the foregoing embodiment. The mobile terminal 800 may be a mobile phone or a tablet. The mobile terminal 800 includes the following components.
The RF circuit 810 is used for receiving and transmitting electromagnetic waves, and performing interconversion between the electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices. RF circuit 810 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The RF circuit 810 may communicate with various networks such as the internet, an intranet, a wireless network, or with other devices over a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. The Wireless network may use various Communication standards, protocols, and technologies, including, but not limited to, Global System for Mobile Communication (GSM), Enhanced Data GSM Environment (EDGE), Wideband Code Division Multiple Access (WCDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Wireless Fidelity (Wi-Fi) (e.g., Institute of Electrical and Electronics Engineers (IEEE) standard IEEE802.11 a, IEEE802.11 b, IEEE802.11g, and/or IEEE802.11 n), Voice over Internet Protocol (VoIP), world wide mail Access (Microwave Access for micro), wimax-1, other suitable short message protocols, and any other suitable Protocol for instant messaging, and may even include those protocols that have not yet been developed.
The memory 820 may be used to store software programs and modules, such as program instructions/modules corresponding to the calibration method for the radio frequency parameters in the above embodiments, and the processor 880 executes various functional applications and data processing by executing the software programs and modules stored in the memory 820, that is, functions of implementing the calibration method for the radio frequency parameters. The memory 820 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 820 may further include memory located remotely from the processor 880, which may be connected to the mobile terminal 800 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input unit 830 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, the input unit 830 may include a touch-sensitive surface 831 as well as other input devices 832. The touch-sensitive surface 831, also referred to as a touch display screen or a touch pad, may collect touch operations by a user on or near the touch-sensitive surface 831 (e.g., operations by a user on or near the touch-sensitive surface 831 using a finger, a stylus, or any other suitable object or attachment) and drive the corresponding connection device according to a predefined program. Alternatively, the touch-sensitive surface 831 can include two portions, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts it to touch point coordinates, and sends the touch point coordinates to the processor 880, and can receive and execute commands from the processor 380. In addition, the touch-sensitive surface 831 can be implemented using various types of resistive, capacitive, infrared, and surface acoustic waves. The input unit 830 may include other input devices 832 in addition to the touch-sensitive surface 831. In particular, other input devices 832 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 840 may be used to display information input by or provided to the user and various graphical user interfaces of the mobile terminal 800, which may be made up of graphics, text, icons, video, and any combination thereof. The Display unit 840 may include a Display panel 841, and the Display panel 841 may be configured in the form of an LCD (Liquid Crystal Display), an OLED (Organic Light-Emitting Diode), or the like, as an option. Further, touch-sensitive surface 831 can overlay display panel 841 and, upon detecting a touch operation on or near touch-sensitive surface 831, communicate to processor 880 to determine the type of touch event, whereupon processor 880 can provide a corresponding visual output on display panel 841 in accordance with the type of touch event. Although in FIG. 8, touch-sensitive surface 831 and display panel 841 are implemented as two separate components to implement input and output functions, in some embodiments, touch-sensitive surface 831 may be integrated with display panel 841 to implement input and output functions.
The mobile terminal 800 may also include at least one sensor 850, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel 841 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 841 and/or backlight when the mobile terminal 800 is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the mobile phone is stationary, and can be used for applications of recognizing the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which may be further configured on the mobile terminal 800, further description is omitted here.
The mobile terminal 800, which may assist the user in emailing, browsing web pages, accessing streaming media, etc., through the transport module 870 (e.g., a Wi-Fi module), provides the user with wireless broadband internet access. Although fig. 8 shows the transmission module 870, it is understood that it does not belong to the essential constitution of the mobile terminal 800 and may be omitted entirely within the scope not changing the essence of the invention as needed.
The processor 880 is a control center of the mobile terminal 800, connects various parts of the entire mobile phone using various interfaces and lines, and performs various functions of the mobile terminal 800 and processes data by operating or executing software programs and/or modules stored in the memory 820 and calling data stored in the memory 820, thereby integrally monitoring the mobile phone. Optionally, processor 880 may include one or more processing cores; in some embodiments, processor 880 may integrate an application processor, which handles primarily the operating system, user interfaces, applications, etc., and a modem processor, which handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 880.
The mobile terminal 800 also includes a power supply 890 (e.g., a battery) for powering various components, such as the power supply, which may be logically coupled to the processor 880 via a power management system that may be used to manage charging, discharging, and power consumption, in some embodiments. Power supply 890 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
Although not shown, the mobile terminal 800 may further include a camera (e.g., a front camera, a rear camera), a bluetooth module, etc., which are not described in detail herein. In this embodiment, the display unit of the mobile terminal is a touch screen display, the mobile terminal further comprises a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for:
collecting a fingerprint input graph of a user;
acquiring the geometric gravity center of the fingerprint input graph;
repeatedly acquiring a fingerprint input graph of a user and acquiring the operation of the geometric gravity center of the fingerprint input graph to acquire fingerprint input characteristics, wherein the fingerprint input characteristics are the moving tracks of the geometric gravity centers acquired in sequence;
acquiring a fingerprint gesture, wherein the fingerprint gesture comprises at least one fingerprint input feature;
judging whether the matching degree of the fingerprint gesture and a preset gesture is greater than or equal to a preset matching degree;
and when the matching degree of the fingerprint gesture and the preset gesture is judged to be more than or equal to a preset matching degree, fingerprint information is collected and verified.
In specific implementation, the above modules may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and specific implementation of the above modules may refer to the foregoing method embodiments, which are not described herein again.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by instructions controlling associated hardware, and the instructions may be stored in a computer-readable storage medium and loaded and executed by a processor. To this end, the present application provides a storage medium, in which a plurality of instructions are stored, where the instructions can be loaded by a processor to execute the steps in any fingerprint encryption starting method provided in the present application.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the storage medium can execute the steps in any fingerprint encryption starting method provided in the embodiment of the present application, beneficial effects that can be achieved by any fingerprint encryption starting method provided in the embodiment of the present application can be achieved, which are detailed in the foregoing embodiments and will not be described herein again. The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
The beneficial effect of this application lies in: the method comprises the steps that a plurality of preset time periods are set, each preset time period corresponds to a function, the set parameters are stored in a database, the set parameters comprise a first parameter and a second parameter, the first parameter is used for defining the preset time periods, the second parameter is used for defining the corresponding relation between the preset time periods and the corresponding functions, when a double-click event of the key is obtained, different functions are achieved according to the current time of a mobile terminal system, and therefore the requirement that a user autonomously sets different functions of the key in different time periods is met.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The fingerprint encryption starting method, the fingerprint encryption starting system, the fingerprint encryption starting storage medium and the mobile terminal provided by the embodiment of the application are introduced in detail, a specific example is applied in the description to explain the principle and the implementation mode of the application, and the description of the embodiment is only used for helping to understand the technical scheme and the core idea of the application; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications or substitutions do not depart from the spirit and scope of the present disclosure as defined by the appended claims.
Claims (10)
1. A fingerprint encryption starting method is applied to a mobile terminal and is characterized by comprising the following steps:
collecting a fingerprint input graph of a user;
acquiring the geometric gravity center of the fingerprint input graph;
repeatedly acquiring a fingerprint input graph of a user and acquiring the operation of the geometric gravity center of the fingerprint input graph to acquire fingerprint input characteristics, wherein the fingerprint input characteristics are the moving tracks of the geometric gravity centers acquired in sequence;
acquiring a fingerprint gesture, wherein the fingerprint gesture comprises at least one fingerprint input feature;
judging whether the matching degree of the fingerprint gesture and a preset gesture is greater than or equal to a preset matching degree;
and when the matching degree of the fingerprint gesture and the preset gesture is judged to be more than or equal to a preset matching degree, fingerprint information is collected and verified.
2. The fingerprint encryption activation method of claim 1, further comprising:
and when the matching degree of the fingerprint gesture and the preset gesture is judged to be smaller than a preset matching degree, stopping fingerprint acquisition operation.
3. The fingerprint encryption startup method according to claim 1, wherein in the step of acquiring the geometric barycenter of the fingerprint input pattern, comprising:
normalizing the collected fingerprint input graph;
acquiring a regular fingerprint input graph; and
and calculating the regular fingerprint input graph as the geometric gravity center of the fingerprint input graph.
4. The fingerprint encryption activation method of claim 1, wherein in the step of repeating the above operation to obtain the fingerprint input characteristics, comprising:
acquiring the position of the geometric gravity center acquired for the Nth time in the geometric gravity center acquired for the (N-1) th time, wherein N is an integer larger than 1;
and acquiring the fingerprint input features according to the orientation.
5. The fingerprint encryption enabling method of claim 1, wherein the locus of movement of the geometric center of gravity is continuous, each geometric center of gravity being acquired for determining a fingerprint input feature.
6. A fingerprint encryption starting system is applied to a mobile terminal and is characterized by comprising:
the area acquisition module is used for acquiring a fingerprint input graph of a user;
the first acquisition module is used for acquiring the geometric gravity center of the fingerprint input graph;
the fingerprint input device comprises a repeating module, a judging module and a judging module, wherein the repeating module is used for repeatedly acquiring a fingerprint input graph of a user and acquiring the operation of the geometric gravity center of the fingerprint input graph so as to acquire fingerprint input characteristics, and the fingerprint input characteristics are moving tracks of the geometric gravity center acquired in sequence;
a second acquisition module for acquiring a fingerprint gesture, the fingerprint gesture comprising at least one fingerprint input feature;
the judging module is used for judging whether the matching degree of the fingerprint gesture and the preset gesture is greater than or equal to a preset matching degree;
and the verification module is used for collecting fingerprint information and verifying the fingerprint information when judging that the matching degree of the fingerprint gesture and the preset gesture is greater than or equal to a preset matching degree.
7. The fingerprint encryption enablement system of claim 6, wherein the first acquisition module comprises:
the normalization unit is used for normalizing the acquired fingerprint input graph;
an acquisition unit for acquiring a regular fingerprint input pattern; and
and the calculating unit is used for calculating the regular fingerprint input graph as the geometric gravity center of the fingerprint input graph.
8. The fingerprint encryption enablement system of claim 6, wherein the duplication module comprises:
the azimuth acquisition unit is used for acquiring the azimuth that the geometric gravity center acquired for the Nth time is positioned at the geometric gravity center acquired for the (N-1) th time, wherein N is an integer larger than 1;
and the characteristic acquisition unit is used for acquiring the fingerprint input characteristics according to the direction.
9. A storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform the fingerprint encryption enabling method of any one of claims 1 to 5.
10. A mobile terminal comprising a processor and a memory, the processor being electrically connected to the memory, the memory being configured to store instructions and data, the processor being configured to perform the steps of the fingerprint encryption activation method according to any one of claims 1 to 5.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306286A (en) * | 2011-08-24 | 2012-01-04 | 宇龙计算机通信科技(深圳)有限公司 | Identity recognition method, identity recognition system and identity recognition terminal |
| CN104573451A (en) * | 2013-10-29 | 2015-04-29 | 深圳市腾讯计算机系统有限公司 | User verification method and device and electronic device |
| CN104765994A (en) * | 2015-04-17 | 2015-07-08 | 努比亚技术有限公司 | User identity recognition method and device |
| CN104933339A (en) * | 2015-06-16 | 2015-09-23 | 广东欧珀移动通信有限公司 | Unlocking control method and mobile terminal |
| CN105159585A (en) * | 2015-08-27 | 2015-12-16 | 广东欧珀移动通信有限公司 | Function unlocking method and system based on fingerprint |
| CN106295290A (en) * | 2015-06-26 | 2017-01-04 | 阿里巴巴集团控股有限公司 | The method of authentication information, Apparatus and system is generated based on finger print information |
| CN106407871A (en) * | 2015-07-29 | 2017-02-15 | 宇龙计算机通信科技(深圳)有限公司 | Fingerprint verification method and apparatus |
| CN107256352A (en) * | 2017-05-26 | 2017-10-17 | 郴州金通信息科技有限公司 | The full frame fingerprint control method of mobile terminal and its control device |
| CN107622188A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Verification method, device, system and equipment based on biological characteristic |
| US20180046843A1 (en) * | 2016-08-11 | 2018-02-15 | Ncku Research And Development Foundation | Iterative matching method and system for partial fingerprint verification |
| US20180173929A1 (en) * | 2013-09-09 | 2018-06-21 | Apple Inc. | Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs |
| CN108345825A (en) * | 2017-01-24 | 2018-07-31 | 创智能科技股份有限公司 | Fingerprint authentication method and its electronic device |
| CN110502177A (en) * | 2018-05-17 | 2019-11-26 | 上海耕岩智能科技有限公司 | A kind of unlocking screen method and apparatus of synchronous verifying finger print information |
| CN111523099A (en) * | 2020-03-27 | 2020-08-11 | 平安普惠企业管理有限公司 | Authorization verification method and device based on pressure track and readable storage medium |
-
2020
- 2020-09-04 CN CN202010922739.3A patent/CN112100596A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102306286A (en) * | 2011-08-24 | 2012-01-04 | 宇龙计算机通信科技(深圳)有限公司 | Identity recognition method, identity recognition system and identity recognition terminal |
| US20180173929A1 (en) * | 2013-09-09 | 2018-06-21 | Apple Inc. | Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs |
| CN104573451A (en) * | 2013-10-29 | 2015-04-29 | 深圳市腾讯计算机系统有限公司 | User verification method and device and electronic device |
| CN104765994A (en) * | 2015-04-17 | 2015-07-08 | 努比亚技术有限公司 | User identity recognition method and device |
| CN104933339A (en) * | 2015-06-16 | 2015-09-23 | 广东欧珀移动通信有限公司 | Unlocking control method and mobile terminal |
| CN106295290A (en) * | 2015-06-26 | 2017-01-04 | 阿里巴巴集团控股有限公司 | The method of authentication information, Apparatus and system is generated based on finger print information |
| CN106407871A (en) * | 2015-07-29 | 2017-02-15 | 宇龙计算机通信科技(深圳)有限公司 | Fingerprint verification method and apparatus |
| CN105159585A (en) * | 2015-08-27 | 2015-12-16 | 广东欧珀移动通信有限公司 | Function unlocking method and system based on fingerprint |
| CN107622188A (en) * | 2016-07-15 | 2018-01-23 | 阿里巴巴集团控股有限公司 | Verification method, device, system and equipment based on biological characteristic |
| US20180046843A1 (en) * | 2016-08-11 | 2018-02-15 | Ncku Research And Development Foundation | Iterative matching method and system for partial fingerprint verification |
| CN108345825A (en) * | 2017-01-24 | 2018-07-31 | 创智能科技股份有限公司 | Fingerprint authentication method and its electronic device |
| CN107256352A (en) * | 2017-05-26 | 2017-10-17 | 郴州金通信息科技有限公司 | The full frame fingerprint control method of mobile terminal and its control device |
| CN110502177A (en) * | 2018-05-17 | 2019-11-26 | 上海耕岩智能科技有限公司 | A kind of unlocking screen method and apparatus of synchronous verifying finger print information |
| CN111523099A (en) * | 2020-03-27 | 2020-08-11 | 平安普惠企业管理有限公司 | Authorization verification method and device based on pressure track and readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 干昌琦、杨常庆合编: "工程力学", 水利电力出版社 * |
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Application publication date: 20201218 |