KR20190088679A - Electronic device and method for determining fingerprint processing method based on pressure level of fingerprint input - Google Patents

Abstract

According to various embodiments of the present invention, an electronic device comprises: a display; a first sensor; a second sensor; a memory; and a processor electrically connected to the display, the first sensor, the second sensor, and the memory, wherein the processor is configured to obtain a fingerprint image through the first sensor, measure a pressure level when the fingerprint image is obtained through the second sensor, analyze characteristics of fingerprint at least based on the obtained fingerprint image, determine a parameter related to processing of the fingerprint image based on the characteristics of the fingerprint and the pressure level, generate fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameter, and store the fingerprint data. In addition, various other embodiments of the present invention are possible.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an electronic device and a method for determining a fingerprint processing method based on a pressure level of a fingerprint input,

Various embodiments of the present invention are directed to electronic devices and methods for determining a fingerprint processing strategy based on a pressure level of a fingerprint input.

In recent years, an electronic device incorporates a biosensor, and can perform user authentication using the biosensor. For example, the electronic device includes a fingerprint sensor, which is one of the biosensors, and can recognize the fingerprint of the user through the fingerprint sensor. As a fingerprint sensor provided separately from a display in an electronic device is embedded in the electronic device, some of the display areas of the display can be set as a fingerprint recognition area for recognizing the fingerprint. The electronic device recognizes the fingerprint of the user inputted in the fingerprint recognition area and can perform user authentication.

When the fingerprint sensor is embedded in the display, fingerprints can be input with stronger pressure if the fingerprint sensor is provided separately from the display (e.g., when the fingerprint sensor is provided on the home button / backside). In this case, the shape of the fingerprint inputted according to the pressure is deformed. However, the same algorithm can be applied to correct the fingerprint image for fingerprint recognition regardless of the form of the fingerprint. Accordingly, the fingerprint recognition rate can be lowered.

Further, when the pressure measured by the fingerprint input in the fingerprint recognition area set in a certain area of the display is out of the predetermined pressure range, the fingerprint is not recognized correctly, which is inconvenient for the user who has to input the fingerprint again.

An electronic device according to various embodiments of the present invention can determine parameters associated with the processing of a fingerprint image based on the pressure level for the fingerprint input and the characteristics of the fingerprint according to the pressure level when registering the fingerprint. The electronic device can be stored in the memory as fingerprint data by mapping characteristics, pressure levels, and parameters of the fingerprint.

The electronic device according to various embodiments of the present invention can select parameters based on at least one of the pressure level for the fingerprint input from the fingerprint data stored in the memory and the characteristic of the fingerprint according to the pressure level when fingerprint authentication is performed . The electronic device can remove noise from the input fingerprint, correct the distortion shape, or restore the low resolution area based on the selected parameter.

According to various embodiments of the present invention, an electronic device includes a display, a first sensor, a second sensor, a memory, and a processor electrically coupled to the display, the first sensor, the second sensor, and the memory Wherein the processor obtains a fingerprint image through the first sensor, measures a pressure level at the time of acquiring the fingerprint image through the second sensor, analyzes the characteristic of the fingerprint based at least on the obtained fingerprint image, Determining a parameter associated with the processing of the fingerprint image based on the characteristic of the fingerprint and the pressure level, and generating and storing fingerprint data based on the characteristic of the fingerprint, the pressure level, and the parameter .

According to various embodiments of the present invention, an electronic device includes a display, a first sensor, a second sensor, a memory, and a processor electrically coupled to the display, the first sensor, the second sensor, and the memory Wherein the processor obtains a fingerprint image through the first sensor, measures a pressure level at the time of acquiring the fingerprint image through the second sensor, analyzes the characteristic of the fingerprint based at least on the obtained fingerprint image, Selecting a parameter based on the analyzed characteristic of the fingerprint and the measured pressure level, processing the obtained fingerprint image based on the selected parameter, and comparing the processed fingerprint image with a fingerprint image stored in the memory And perform fingerprint authentication based on the comparison result.

According to various embodiments of the present invention, an electronic device includes a display, a sensor portion disposed in at least a portion of the display, a memory, and a processor electrically coupled to the display, the sensor portion, and the memory, Wherein the processor is configured to acquire a fingerprint image through the sensor unit, measure a pressure level at the time of acquiring the fingerprint image, analyze characteristics of the fingerprint based at least on the obtained fingerprint image, And to generate and store fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameter.

According to various embodiments of the present invention, a method for determining a fingerprint processing method based on a pressure level of a fingerprint input includes obtaining a fingerprint image through a first sensor, Determining a parameter associated with the processing of the fingerprint image based on the characteristic of the fingerprint and the pressure level, and comparing the fingerprint with the fingerprint And generating and storing fingerprint data based on the characteristics, the pressure level, and the parameter.

According to various embodiments of the present invention, a method for determining a fingerprint processing method based on a pressure level of a fingerprint input includes obtaining a fingerprint image through a first sensor, Measuring a level of the fingerprint, analyzing a characteristic of the fingerprint based at least on the acquired fingerprint image, selecting a parameter based on the characteristic of the analyzed fingerprint and the measured pressure level, Processing the obtained fingerprint image, and comparing the processed fingerprint image with a fingerprint image stored in the memory, and performing fingerprint authentication based on the comparison result.

According to various embodiments of the present invention, a method for determining a fingerprint processing method based on a pressure level of a fingerprint input includes: obtaining a fingerprint image through a sensor unit and measuring a pressure level at the time of acquiring the fingerprint image; Analyzing the characteristics of the fingerprint based at least in part on the acquired fingerprint image; determining parameters associated with processing the fingerprint image based on the characteristics of the fingerprint and the pressure level; And generating and storing fingerprint data based on the parameters.

An electronic device according to various embodiments of the present invention may store the fingerprint data in a memory as fingerprint data by mapping the characteristics of the fingerprint, the pressure level, and the parameters associated with the processing of the fingerprint image.

The electronic device according to various embodiments of the present invention selects a parameter corresponding to the pressure level for the fingerprint input and the characteristic of the fingerprint according to the pressure level when the fingerprint authentication is performed, . Accordingly, different algorithms can be applied in consideration of the characteristics of the fingerprints varying with the pressure level of the fingerprint input, and the fingerprint recognition rate can be increased.

In addition, the electronic device can apply an optimized algorithm according to the pressure level of the fingerprint input and the characteristics of the fingerprint, so that it is possible to provide the convenience to the user that the fingerprint does not need to be input again.

1 is a block diagram of an electronic device for determining a fingerprint processing scheme based on a pressure level of a fingerprint input, in accordance with various embodiments.
2 is a block diagram illustrating an electronic device for determining a fingerprint processing scheme based on a pressure level of a fingerprint input, in accordance with various embodiments.
Figs. 3 and 4 are diagrams for explaining a fingerprint image obtained according to a range of pressure levels, according to various embodiments. Fig.
5 is a diagram illustrating a change in fingerprint characteristics in accordance with a change in pressure level, in accordance with various embodiments.
6 is a diagram illustrating a user interface displayed when a fingerprint is registered according to various embodiments.
7 is a flow chart illustrating a method for registering fingerprints, in accordance with various embodiments.
Figs. 8 and 9 are diagrams illustrating a method of processing a fingerprint image using different filters for different ranges of pressure levels, according to various embodiments. Fig.
10 is a flow diagram illustrating a method for performing fingerprint authentication, in accordance with various embodiments.
11 is a block diagram illustrating an electronic device for determining a fingerprint processing scheme based on a pressure level of a fingerprint input, in accordance with various embodiments.
12 is a flow chart illustrating a method for registering fingerprints, in accordance with various embodiments.
13 is a flowchart illustrating a method of performing fingerprint authentication according to various embodiments.

1 is a block diagram of an electronic device 101 for determining a fingerprint processing scheme based on a pressure level of a fingerprint input within a network environment 100, in accordance with various embodiments.

1 is a block diagram of an electronic device 101 in a network environment 100, in accordance with various embodiments. 1, an electronic device 101 in a network environment 100 communicates with an electronic device 102 via a first network 198 (e.g., a short-range wireless communication network) (E. G., A < / RTI > remote wireless communication network). According to one embodiment, the electronic device 101 is capable of communicating with the electronic device 104 through the server 108. According to one embodiment, the electronic device 101 includes a processor 120, a memory 130, an input device 150, an audio output device 155, a display device 160, an audio module 170, a sensor module 176, an interface 177, a haptic module 179, a camera module 180, a power management module 188, a battery 189, a communication module 190, a subscriber identity module 196, ). In some embodiments, at least one (e.g., display 160 or camera module 180) of these components may be omitted from the electronic device 101, or one or more other components may be added. In some embodiments, some of these components may be implemented as a single integrated circuit. For example, a sensor module 176 (e.g., a fingerprint sensor, an iris sensor, or a light sensor) may be implemented embedded in the display device 160 (e.g., a display).

Processor 120 executes at least one other component (e.g., hardware or software component) of electronic device 101 connected to processor 120 by executing software (e.g., program 140) And can perform various data processing or arithmetic operations. According to one embodiment, as part of a data processing or computation, the processor 120 may provide instructions or data received from other components (e.g., sensor module 176 or communication module 190) Process the instructions or data stored in the volatile memory 132, and store the resulting data in the non-volatile memory 134. According to one embodiment, the processor 120 includes a main processor 121 (e.g., a central processing unit or application processor), and a secondary processor 123 (e.g., a graphics processing unit, an image signal processor , A sensor hub processor, or a communications processor). Additionally or alternatively, the coprocessor 123 may use less power than the main processor 121, or it may be set to be specific to the specified function. The coprocessor 123 may be implemented separately from, or as part of, the main processor 121.

 The coprocessor 123 may be configured to execute on behalf of the main processor 121 while the main processor 121 is in an inactive (e.g., sleep) state, At least one component (e.g., display device 160, sensor module 176, or communication module 190) of the components of electronic device 101, along with main processor 121, Lt; RTI ID = 0.0 > and / or < / RTI > According to one embodiment, the coprocessor 123 (e.g., an image signal processor or communications processor) may be implemented as part of a functionally related other component (e.g., camera module 180 or communication module 190) have.

Memory 130 may store various data used by at least one component (e.g., processor 120 or sensor module 176) of electronic device 101. The data may include, for example, input data or output data for software (e.g., program 140) and instructions related thereto. The memory 130 may include a volatile memory 132 or a non-volatile memory 134.

The program 140 may be stored as software in the memory 130 and may include, for example, an operating system 142, middleware 144,

The input device 150 may receive commands or data to be used for components (e.g., processor 120) of the electronic device 101 from the outside (e.g., a user) of the electronic device 101. The input device 150 may include, for example, a microphone, a mouse, or a keyboard.

The sound output device 155 can output the sound signal to the outside of the electronic device 101. [ The sound output device 155 may include, for example, a speaker or a receiver. Speakers can be used for general purposes, such as multimedia playback or record playback, and receivers can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from the speaker, or as part thereof.

Display device 160 may visually provide information to an external (e.g., user) of electronic device 101. Display device 160 may include, for example, a display, a hologram device, or a projector and control circuitry for controlling the device. According to one embodiment, the display device 160 may comprise a touch circuitry configured to sense a touch, or a sensor circuit (e.g., a pressure sensor) configured to measure the force generated by the touch have.

The audio module 170 may convert the sound into an electrical signal or vice versa. According to one embodiment, the audio module 170 is configured to acquire sound through the input device 150, or to output audio to the audio output device 155, or to an external electronic device (e.g., Electronic device 102) (e.g., a speaker or headphone)).

The sensor module 176 senses the operating state (e.g., power or temperature) of the electronic device 101 or an external environmental condition (e.g., a user state) and generates an electrical signal or data value corresponding to the sensed condition can do. According to one embodiment, the sensor module 176 may be, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, A temperature sensor, a humidity sensor, or an illuminance sensor.

The interface 177 may support one or more designated protocols that may be used by the electronic device 101 to connect directly or wirelessly with an external electronic device (e.g., the electronic device 102). According to one embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 178 may include a connector through which the electronic device 101 may be physically connected to an external electronic device (e.g., the electronic device 102). According to one embodiment, connection terminal 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

The haptic module 179 may convert electrical signals into mechanical stimuli (e.g., vibrations or movements) or electrical stimuli that the user may perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 180 can capture a still image and a moving image. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 188 can manage the power supplied to the electronic device 101. [ According to one embodiment, the power management module 188 may be implemented as at least a portion of, for example, a power management integrated circuit (PMIC).

The battery 189 may supply power to at least one component of the electronic device 101. According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

The communication module 190 may be a direct (e.g., wired) communication channel between the electronic device 101 and an external electronic device (e.g., an electronic device 102, an electronic device 104, or a server 108) Establishment, and communication through the established communication channel. Communication module 190 may include one or more communication processors that operate independently of processor 120 (e.g., an application processor) and that support direct (e.g., wired) or wireless communication. According to one embodiment, the communication module 190 may include a wireless communication module 192 (e.g., a cellular communication module, a short range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 : A local area network (LAN) communication module, or a power line communication module). A corresponding one of these communication modules may be a first network 198 (e.g., a short range communication network such as Bluetooth, WiFi direct or IrDA (infrared data association)) or a second network 199 (e.g. a cellular network, (E.g., a telecommunications network, such as a computer network (e.g., a LAN or WAN)). These various types of communication modules may be integrated into one component (e.g., a single chip) or a plurality of components (e.g., a plurality of chips) that are separate from each other. The wireless communication module 192 may be configured to communicate with the subscriber identity module 196 in a communication network such as the first network 198 or the second network 199 using subscriber information (e.g., International Mobile Subscriber Identity (IMSI) The electronic device 101 can be confirmed and authenticated.

The antenna module 197 can transmit signals or power to the outside (e.g., an external electronic device) or receive it from the outside. In accordance with one embodiment, the antenna module 197 may include one or more antennas, from which at least one (e.g., one or more) antennas suitable for a communication scheme used in a communication network, such as the first network 198 or the second network 199, May be selected, for example, by the communication module 190. A signal or power may be transmitted or received between the communication module 190 and the external electronic device via the selected at least one antenna.

At least some of the components are connected to each other via a communication method (e.g., bus, general purpose input and output, SPI, or mobile industry processor interface (MIPI) For example, commands or data).

According to one embodiment, the command or data may be transmitted or received between the electronic device 101 and the external electronic device 104 via the server 108 connected to the second network 199. Each of the electronic devices 102 and 104 may be the same or a different kind of device as the electronic device 101. [ According to one embodiment, all or a portion of the operations performed on the electronic device 101 may be performed on one or more external devices of the external electronic devices 102, 104, or 108. For example, in the event that the electronic device 101 has to perform some function or service automatically, or in response to a request from the user or another device, the electronic device 101 may, instead of executing the function or service itself Or in addition, to one or more external electronic devices to perform the function or at least part of the service. One or more external electronic devices that have received the request may execute at least a portion of the requested function or service, or an additional function or service associated with the request, and deliver the result of the execution to the electronic device 101. The electronic device 101 may process the result as is or in addition to provide at least a portion of the response to the request. For this purpose, for example, cloud computing, distributed computing, or client- Can be used.

2 is a block diagram illustrating an electronic device for determining a fingerprint processing scheme based on a pressure level of a fingerprint input, in accordance with various embodiments.

2, electronic device 101 (e.g., electronic device 101 of FIG. 1) includes a wireless communication circuit 210 (e.g., communication module 190 of FIG. 1), a memory 220 (e.g., A display driver integrated circuit (IC) 230, a touch screen 240 (e.g., the display 160 of FIG. 1), a pressure sensor 250, a fingerprint ROIC an integrated circuit 260, a fingerprint sensor 270, and a processor 280 (e.g., the processor 120 of FIG. 1).

(E.g., communication module 190 of FIG. 1) may communicate with external electronic devices (e.g., electronic devices 102 and 104, server 106, ) And communication can be connected. For example, the wireless communication circuit 210 may be connected to a network via wireless communication to communicate with an external electronic device.

According to various embodiments of the present invention, memory 220 (e.g., memory 130 of FIG. 1) may be electrically coupled to processor 280.

In one embodiment, the memory 220 may store a program for controlling the fingerprint sensor 270 in accordance with an operation mode (e.g., fingerprint registration mode, fingerprint authentication mode) associated with fingerprint recognition. For example, the memory 220 may store a program for processing a function of the fingerprint sensor 270 to acquire a fingerprint image using at least one scanning method, and data to be processed according to the program.

In one embodiment, the memory 220 may pre-store a user's fingerprint image for use in verifying whether a fingerprint image input via the fingerprint sensor 270 is matched. The memory 220 may store a program for displaying a user interface (UI) according to an operation mode related to fingerprint recognition.

In one embodiment, the memory 220 stores the characteristics of the fingerprint analyzed, based on at least the fingerprint image acquired via the fingerprint sensor 270, the pressure level measured via the pressure sensor 250, The parameters associated with the processing of the fingerprint image determined based on the level may be mapped and stored as fingerprint data.

According to various embodiments of the present invention, a display driver IC (display driver IC) 230 may display an image driving signal corresponding to image information received from the processor 280 at a predetermined frame rate 241, respectively. The display driver IC 230 may include a graphics RAM, an interface module, an image processing unit, a multiplexer, a display timing controller (T-con), a source driver, a gate driver, and / An oscillator, and the like.

According to various embodiments of the present invention, the touch screen 240 (e.g., the display device 160 of FIG. 1) may receive a video drive signal received from the display driver IC 230. The display 241 may display various screens according to the use of the electronic device 200. [ The display 241 may display, for example, various contents (e.g., text, images, video, icons, or symbols). The display 241 may also be a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, or a microelectromechanical systems (MEMS) Display. The touch panel 243 may receive a touch, gesture, proximity, or hovering input using, for example, an electronic pen or a portion of the user's body.

In one embodiment, display 241 may be superimposedly coupled to touch panel 243, pressure sensor 250, and / or fingerprint sensor 270.

In one embodiment, the touch screen 240 may display, at least in some areas, a user interface associated with a user's fingerprint authentication under the control of the processor 280. [ At least some areas of the touch panel 243 or the display 241 may include a fingerprint recognition area of the fingerprint sensor 270. [ For example, the fingerprint recognition area may be disposed on the touch panel 243 or on the top or bottom of the display 241. [ However, it is not limited thereto.

In one embodiment, the touch screen 240 may obtain touch input information associated with the fingerprint authentication of the user of the electronic device 200 via the touch panel 243 and transmit the obtained touch input information to the processor 280 . The touch screen 240 displays a user interface object (e.g., an indication associated with fingerprint authentication) in a fingerprint recognition area including at least a portion of the fingerprint sensor 270 via the display 241 under the control of the processor 280 .

According to various embodiments of the present invention, the pressure sensor 250 may sense an external pressure. For example, the pressure sensor 250 may sense the pressure applied by the user's finger to the touch screen 240.

In one embodiment, the pressure sensor 250 may be included in the touch panel 243.

According to various embodiments of the present invention, a fingerprint readout integrated circuit 260 may drive the fingerprint sensor 270 and may scan at least a portion of the fingerprint sensor 270 . The fingerprint ROIC 260 may capture the fingerprint image through the scanning. The fingerprint ROIC 260 may extract a unique feature of a fingerprint, for example, from the fingerprint image, and transmit the extracted feature to the processor 280 as fingerprint information. For example, the extracted feature, that is, the fingerprint minutiae may include a ridge end point, a bifurcation point, a center point, a delta, etc. included in the fingerprint .

According to various embodiments of the present invention, the fingerprint sensor 270 may be arranged to cover at least some or all of the area of the touch screen 240. The fingerprint sensor 270 may include a fingerprint sensing array divided into a plurality of regions.

In one embodiment, the fingerprint sensor 270 acquires a fingerprint image corresponding to the user's fingerprint based on the amount of current being changed as the finger of the user of the electronic device 200 touches at least a portion of the fingerprint recognition area . The fingerprint recognition area may include at least a part of the fingerprint sensor 270. The fingerprint image acquired through the fingerprint sensor 270 is compared with the fingerprint image of the user stored in advance in the memory 220 and then used for user authentication of the electronic device 200 according to the match score (e.g., matching rate or similarity) . The fingerprint image obtained through the fingerprint sensor 270 may be compressed and stored in the memory 220 and may be registered with the user's authentication information for later user authentication.

According to various embodiments of the present invention, the processor 280 (e.g., the processor 120 of FIG. 1) controls the overall operation of the electronic device 200 and the signal flow between the internal configurations of the electronic device 200 , Perform data processing, and control power supply from the battery (e.g., battery 189 of FIG. 1) to the configurations.

In one embodiment, the processor 280 obtains a fingerprint image via the fingerprint sensor 270 when an input requesting fingerprint registration is sensed, and measures the pressure level at the fingerprint image acquisition via the pressure sensor 250 can do. The processor 280 may display a user interface requesting fingerprint input on the touch screen 240 when an input for requesting fingerprint registration is detected. The processor 280 may analyze the characteristics of the fingerprint based at least on the obtained fingerprint image. For example, the characteristics of the fingerprint may include the distance between the feature points of the fingerprint, the ratio of the fingerprint to the fingerprint, the width of the fingerprint, the width of the fingerprint, and the like. The processor 280 may determine the parameters associated with the processing of the fingerprint image based on the characteristics of the fingerprint and the pressure level. The parameter is for processing the fingerprint image obtained in the fingerprint authentication process. For example, the processor 280 is for removing noise from a fingerprint image, correcting a distorted shape, or restoring a low-resolution area to facilitate extraction of feature points of a fingerprint. The parameter can be varied based on the characteristics of the fingerprint and the pressure level. The processor 280 may generate fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameters associated with the processing of the fingerprint image, and store the fingerprint data in the memory 220.

In one embodiment, the processor 280 acquires a fingerprint image through the fingerprint sensor 270 when an input requesting fingerprint authentication is detected, and measures the pressure level at the time of acquiring the fingerprint image through the pressure sensor 250 can do. The processor 280 may analyze the characteristics of the fingerprint based at least on the obtained fingerprint image. Processor 280 may select (e.g., extract or read) parameters based on the characteristics of the analyzed fingerprint and the measured pressure level. For example, the processor 280 may select the parameter based at least in part on the fingerprint data stored in the memory 220. Processor 280 may process (e.g., preprocess, correct, etc.) the acquired fingerprint image based on the selected parameter. For example, the processor may remove noise from the acquired fingerprint image based on the selected parameter, correct the distorted shape, or restore the low resolution area. The processor 280 compares the processed fingerprint image with the fingerprint image stored in the memory 220, and performs fingerprint authentication based on the comparison result.

 Figs. 3 and 4 are diagrams for explaining a fingerprint image obtained according to a range of pressure levels, according to various embodiments. Fig.

Referring to FIG. 3, a processor (e.g., processor 280 of FIG. 2) may detect a fingerprint sensor (e.g., fingerprint sensor 270 of FIG. 2) To obtain the fingerprint image 311. [ The processor may measure the pressure level at the time of acquiring the fingerprint image 311 through a pressure sensor (e.g., pressure sensor 250 in FIG. 2).

In one embodiment, the processor is capable of analyzing the characteristics of the fingerprint based at least on the fingerprint image 311. For example, the characteristics of the fingerprint may include the distance between the feature points of the fingerprint, the ratio of the fingerprint to the fingerprint, the width of the fingerprint, the width of the fingerprint, and the like.

In the following embodiments, the characteristics of the fingerprint are assumed to be the ratio of the fingerprint to the fingerprint.

In one embodiment, < 320 > is an enlarged view of a partial area of the fingerprint image 311, reference numeral 321 denotes fusion of a fingerprint, and reference numeral 323 denotes a fingerprint.

In one embodiment, a finger 321 and a finger 323 of a fingerprint are shown input on a touch screen 340 (e.g., touch screen 240 of FIG. 2). The processor may analyze the ratio of the fingerprint 321 and the valley 323 to the range of the pressure level 335. For example, if a touch input of a user's finger is sensed on the touch screen 340, the processor determines that the range 335 of the pressure level is measured, for example, at a pressure level 2 and the ratio of the finger 321 to the valley 323 For example, 1: 1.

In one embodiment, the processor is based on a ratio (e.g., 1: 1) of the analyzed fingerprint 321 to the valleys 323 and a range 335 of the measured pressure level (e.g., pressure level 2) To determine the parameters associated with the processing of the fingerprint image 311. The parameter may be used to improve the fingerprint image 311 through noise removal, distortion correction, or reconstruction of a low resolution area.

In one embodiment, the processor may map the characteristics of the fingerprint, the pressure level, and the parameters associated with the processing of the fingerprint image 311 and store it in a memory (e.g., memory 220 of FIG. 2).

Referring to FIG. 4, when an input for registering a fingerprint is detected, the processor can obtain the fingerprint image 411 through the fingerprint sensor as shown in < 410 >. The processor can measure the pressure level at the time of acquiring the fingerprint image 411 through the pressure sensor. The processor may analyze the characteristics of the fingerprint, for example, the ratio of fingerprint to fingerprint, based at least on the fingerprint image 411.

In one embodiment, < 420 > is an enlarged view of a partial area of the fingerprint image 411, reference numeral 421 denotes fusion of a fingerprint, and reference numeral 423 denotes a fingerprint.

In one embodiment, fingerprint 421 and fingerprints 423 are displayed on touch screen 440. The processor can analyze the ratio of fingerprint 421 to fingerprint 423 in accordance with the range of pressure levels 435. For example, if a touch input of a user's finger is sensed on the touch screen 340, the processor determines that the range 435 of the pressure level is measured, for example, at a pressure level of 3 and the ratio of the finger 421 to the valley 423 For example, 2: 1.

In one embodiment, the processor is based on the ratio of the analyzed fingerprint 421 to the valley 423 (e.g., 2: 1) and the measured range of pressure levels 435 (e.g., pressure level 3) To determine the parameters associated with the processing of the fingerprint image 411. The processor may map the characteristics of the fingerprint, the pressure level, and the parameters associated with the processing of the fingerprint image 411 and store them in memory.

In one embodiment, the parameters determined based on the ratio of the fingerprint to the fingerprint of the fingerprint analyzed in FIG. 3 and the pressure level measured as two, and the ratio of the fingerprint to the fingerprint analyzed in FIG. 4 of 2: And the parameter determined based on the pressure level measured by 3 may be different. In other words, the parameter can be varied based on the pressure level and the characteristics of the fingerprint.

5 is a diagram illustrating a change in fingerprint characteristics in accordance with a change in pressure level, in accordance with various embodiments.

Referring to FIG. 5, the x-axis represents the pressure level and the y-axis represents the characteristic variation of the fingerprint.

In one embodiment, the characteristics of the fingerprint may vary depending on the pressure level of the user's touch input sensed on the touch screen (e.g., touch screen 240 of FIG. 2).

For example, if the pressure level is a (510), then the characteristic of the fingerprint, for example, the ratio of the fringe and the valley may be 1: 1 (515), and if the pressure level is b (520) For example, the ratio of fusing to bone may be 1: 2 (525).

In one embodiment, when a fingerprint input is detected at a pressure level a 510, the ratio of the finger to the finger of the fingerprint is 1: 1 515, while the pressure level b 520, which is higher than the pressure level a 510, The ratio of the fingerprint to the fingerprint of the fingerprint is changed to 1: 2 (525) (for example, the ratio of fusion is increased and the ratio of bone is decreased).

In one embodiment, the processor may determine a parameter associated with the processing of the fingerprint image based on the ratio of the fingerprint of the fingerprint of 1: 1 515 and the pressure level a 510.

In one embodiment, the processor may adjust at least one parameter of a specified filter associated with the processing of the fingerprint image based on the determined parameter.

In one embodiment, assuming that a filter for processing a fingerprint image is a gabor filter, the formula of the Gabor filter may be expressed by the following equation (1).

For example, the Gabor filter may include parameters?,?,?,?,?. At least one of the parameters?,?,?,?,? Can be adjusted based on the characteristics of the fingerprint (e.g., the ratio of the fingerprint to the fingerprint) and the pressure level. For example, σ is a parameter for determining the width of the kernel, θ is a parameter for determining the direction of an edge extracted by the Gabor filter, λ is a parameter for adjusting the sine function, and ψ is an intermediate value of the filter And? Is a parameter for adjusting the width-height ratio of the filter.

In one embodiment, the processor is configured to map the parameters associated with the processing of the fingerprint image determined based on the characteristics 515 of the fingerprint, the pressure level 510, and the characteristics of the fingerprint and the pressure level, (220).

In one embodiment, when performing a fingerprint authentication, if a fingerprint image is obtained that is measured at a pressure level a 510 and the ratio of fingerprint to fingerprint is 1: 1 515, To a parameter associated with the processing of the fingerprint image determined based on the fingerprint characteristic 515 and the pressure level 510. [ The processor may correct the fingerprint image using the at least one parameter adjusted filter (517).

In one embodiment, the processor may determine the parameters associated with the processing of the fingerprint image based on the ratio of the fingerprint of the fingerprint of 1: 2 525 and the pressure level b (520).

In one embodiment, the processor may adjust at least one parameter of a specified filter associated with the processing of the fingerprint image based on the determined parameter.

In one embodiment, the processor may map the parameters associated with the processing of the fingerprint image determined based on the fingerprint characteristic 525, the pressure level 520, and the characteristic and pressure level of the fingerprint to store in memory.

In one embodiment, when performing a fingerprint authentication, if a fingerprint image is obtained that is measured at a pressure level b (520) and the ratio of fingerprint to fingerprint is 1: 2 (525), the processor determines at least one May be adjusted to parameters associated with the processing of the fingerprint image determined based on the fingerprint characteristic 525 and the pressure level 520. The processor may correct the fingerprint image using the at least one parameter adjusted filter (527).

6 is a diagram illustrating a user interface displayed when a fingerprint is registered according to various embodiments.

Referring to FIG. 6, when a processor (e.g., processor 280 of FIG. 2) detects an input for registering a fingerprint, it touches a user interface for guiding the fingerprint for the user to be registered by the range of the pressure level May be displayed on a screen (e.g., touch screen 240 of FIG. 2).

In one embodiment, the user interface includes information for guiding the fingerprint to be registered, such as &quot; a first pressure level (or a second pressure level, a third pressure &lt; (611, 621, 631) and fingerprint recognition areas (613, 623, 633).

In one embodiment, the processor can guide the fingerprint to be input at least twice in the range of the pressure level, for example, from the first pressure level to the third pressure level. For example, since the size of a fingerprint sensor (e.g., the fingerprint sensor 270 in FIG. 2) is limited, the fingerprint image obtained through the fingerprint sensor may be a partial fingerprint image. The processor detects the input of the fingerprint, for example, the touch input of the user's finger, in the fingerprint recognition area 613, 623, 633, and transmits the first partial fingerprint image through the fingerprint sensor (e.g., fingerprint sensor 270 in FIG. 2) Can be obtained. The processor may further acquire the second partial fingerprint image via the fingerprint sensor when an input for the fingerprint registration is detected. The second partial fingerprint image may be an image for an area obtained by shifting the position of the finger corresponding to the fingerprint sensor, and may be a fingerprint image different from the first partial fingerprint image. The processor can guide the fingerprint to be inputted n times while changing the position of the finger corresponding to the fingerprint sensor. The processor may obtain n partial fingerprint images in response to n fingerprint inputs.

In one embodiment, if it is determined that the fingerprint image has been acquired above a predetermined reference, the processor may be configured to receive information to complete the operation of entering a partial fingerprint image, to complete the operation of obtaining a partial fingerprint image, At least one of the information requesting the stop of the operation to be displayed on the touch screen.

In one embodiment, the user interface for guiding the fingerprint image for the user to be registered is displayed as information (for example, 611, 621, 631) in the range of the pressure level. However, the present invention is not limited thereto, And outputs different colors, light emission, sound, and vibration according to the range of the pressure level, thereby guiding the fingerprint to the user to be registered according to the range of the pressure level.

7 is a flow chart illustrating a method for registering fingerprints, in accordance with various embodiments.

Referring to FIG. 7, a processor (e.g., processor 280 of FIG. 2) may acquire a fingerprint image through a first sensor in 701 operation and measure the pressure level at the time of acquiring the fingerprint image through a second sensor have.

In one embodiment, the processor may display a user interface (e.g., 610, 620, 630 of FIG. 6) requesting fingerprint input on a touch screen (e.g., touch screen 240 of FIG. 2).

In one embodiment, the user interface for requesting fingerprint input includes information (for example, 611, 621, 631 in Fig. 6) requesting fingerprint input by a range of the pressure level and a fingerprint recognition area 6, 613, 623, 633 of FIG. 6).

In one embodiment, the first sensor and the second sensor may be disposed in at least a portion of the touch screen (e.g., a fingerprint recognition area). For example, the first sensor may include a fingerprint sensor (e.g., fingerprint sensor 270 of FIG. 2) and the second sensor may include a pressure sensor (e.g., pressure sensor 250 of FIG. 2) have.

In one embodiment, when a fingerprint input for fingerprint registration is detected in a fingerprint recognition area formed on at least a portion of the touch screen, the processor acquires a fingerprint image through a fingerprint sensor (e.g., a first sensor) For example, a second sensor) to measure the pressure level at the time of obtaining the fingerprint image.

In one embodiment, the processor may analyze the characteristics of the fingerprint based at least on the fingerprint image obtained in operation 703. For example, the characteristics of the fingerprint may include the distance between the feature points of the fingerprint, the ratio of the fingerprint to the fingerprint, the width of the fingerprint, the width of the fingerprint, and the like.

In one embodiment, the processor may generate a user &apos; s entire fingerprint image or a combined fingerprint image of the user through a stitching operation that connects the n partial fingerprint images obtained for each range of pressure levels. The processor may analyze the characteristics of the fingerprint based on the entire fingerprint image or the combined fingerprint image generated through the stitching operation.

In one embodiment, the processor can determine the parameters associated with the processing of the fingerprint image based on the fingerprint characteristics and pressure level in 705 operation.

In one embodiment, the processor may adjust at least one parameter of a specified filter associated with the processing (e.g., correction) of the fingerprint image in the fingerprint authentication process to a parameter determined based on the pressure level and characteristics of the fingerprint. For example, the parameters determined based on the pressure level and the characteristics of the fingerprint can improve the fingerprint image by removing noise associated with the fingerprint image, correcting the distortion shape, or restoring the low resolution area in the fingerprint authentication process, .

In one embodiment, the parameter may be varied based on the fingerprint characteristics and the pressure level.

In one embodiment, the processor generates fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameters associated with processing the fingerprint image in operation 707, and stores the generated fingerprint data in a memory (e.g., memory 220 )). For example, the fingerprint data may be data mapped to the characteristics of the fingerprint, the pressure level, and parameters associated with processing the fingerprint image.

Figs. 8 and 9 are diagrams illustrating a method of processing a fingerprint image using different filters for different ranges of pressure levels, according to various embodiments. Fig.

8, when a fingerprint input is detected in a fingerprint recognition area (e.g., 613, 623, 633 in FIG. 6) formed in at least a part of a region of a touch screen (e.g., the touch screen 240 of FIG. 2) (E.g., fingerprint sensor 270 of FIG. 2) and measure the pressure level at the time of obtaining the fingerprint image through a pressure sensor (e.g., pressure sensor 250 of FIG. 2).

In one embodiment, the processor may analyze the characteristics of the fingerprint, e.g., the ratio of fusing and bone, based at least in part on the obtained fingerprint image.

In one embodiment, the graph shown in < 810 > is for the finger and bone of the analyzed fingerprint. The processor may select parameters based on the characteristics of the analyzed fingerprint, e.g., the fingerprint of the fingerprint and the measured pressure level. The processor may select the parameter based at least in part on fingerprint data stored in a memory (e.g., memory 220 of FIG. 2).

For example, if a processor obtains a fingerprint image with a ratio of fingerprint to fingerprint at a particular pressure level, as shown in <810>, T: T, for example, 1: 1, The parameters can be selected based on the ratio of jaw to bone. The processor may adjust at least one parameter of the designated filter to the selected parameter and the at least one parameter of the < 820 > process (e.g., preprocess, correct, etc.) the fingerprint image using the adjusted filter. The processor may process 840 the fingerprint image 830 using the at least one parameter adjusted filter 820. For example, the processor may remove noise from the acquired fingerprint image 830, correct the distortion shape, or restore 840 the low resolution area.

9, when a fingerprint input is detected in a fingerprint recognition area formed on at least a part of a touch screen, a fingerprint image is acquired through a fingerprint sensor and a pressure level at the time of acquiring the fingerprint image can be measured through a pressure sensor have.

In one embodiment, the processor may analyze the characteristics of the fingerprint, e.g., the ratio of fusing and bone, based at least in part on the obtained fingerprint image.

In one embodiment, the graph shown in < 910 > is for the fusing and scoring of the analyzed fingerprint. The processor may select parameters based on the characteristics of the analyzed fingerprint and the measured pressure level. The processor may select the parameter based at least on the fingerprint data stored in the memory.

For example, when a fingerprint image having a ratio of fingerprint to fingerprint at a specific pressure level is obtained as T1 / 2: T2 / 2, for example, 1: 2 as shown in <910> The parameter can be selected based on the ratio of the fingerprint to the fingerprint. The processor may adjust at least one parameter of the specified filter to the selected parameter and the at least one parameter of < 920 > may process (e.g., preprocess, correct, etc.) 940 the fingerprint image using the adjusted filter have. The processor may remove noise, correct the distortion shape, or restore (940) the low resolution area in the fingerprint image 930 obtained using the at least one parameter adjusted filter 920.

10 is a flow diagram illustrating a method for performing acquired fingerprint authentication, in accordance with various embodiments.

Referring to FIG. 10, a processor (e.g., processor 280 of FIG. 2) may acquire a fingerprint image through a first sensor in operation 1001 and measure the pressure level at the time of acquiring the fingerprint image through a second sensor have.

In one embodiment, if a fingerprint input is detected in a fingerprint recognition area (e.g., 613, 623, 633 in FIG. 6) formed in at least a portion of a touch screen (e.g., touch screen 240 of FIG. 2) 1 sensor to acquire a fingerprint image, and the second sensor can measure the pressure level at the time of acquiring the fingerprint image. For example, the first sensor may include a fingerprint sensor (e.g., fingerprint sensor 270 of FIG. 2) and the second sensor may include a pressure sensor (e.g., pressure sensor 250 of FIG. 2) have.

In one embodiment, the processor may analyze the characteristics of the fingerprint based at least on the fingerprint image obtained in operation 1003. For example, the characteristics of the fingerprint may include the distance between the feature points of the fingerprint, the ratio of the fingerprint to the fingerprint, the width of the fingerprint, the width of the fingerprint, and the like.

In one embodiment, the processor may select parameters based on the characteristics of the fingerprint analyzed and the measured pressure level at 1005 operation.

In one embodiment, the processor may process (e.g., preprocess, correct, etc.) the acquired fingerprint image based on the selected parameter in operation 1007. For example, the processor can correct noise correction, distorted shape restoration, or low-resolution area on the fingerprint image acquired based on the selected parameter. The feature points of the fingerprint can be easily extracted by processing the fingerprint image obtained based on the selected parameter.

In one embodiment, the processor may compare the processed fingerprint image with the stored fingerprint image in operation 1009, and perform fingerprint authentication based on the comparison result.

In one embodiment, the processor may extract feature information from the processed fingerprint image based on the parameters. The feature information may be a minutiae representing at least one feature point. The minutia may include a bifurcation point, an end point, a core, and a delta. In addition, the minutia may include feature points representing the orientation or shape of valleys between ridges and ridges.

In one embodiment, the processor may determine whether the feature information extracted from the processed fingerprint image matches the specific information for the fingerprint image stored in the memory. If the match score is above a certain threshold, the processor can determine that the authentication is successful. If the match score is below a certain threshold, the processor may decide to fail authentication.

In one embodiment, a method for comparing the processed fingerprint image with a fingerprint image stored in a memory and performing fingerprint authentication based on the comparison result is well known to those skilled in the art So that detailed description thereof will be omitted.

11 is a block diagram illustrating an electronic device for determining a fingerprint processing scheme based on a pressure level of a fingerprint input, in accordance with various embodiments.

11, electronic device 101 of FIG. 1, electronic device 200 of FIG. 2) includes a wireless communication circuit 1110 (e.g., communication module 190 of FIG. 1) (E.g., the wireless communication circuit 210 of FIG. 2), a memory 1120 (e.g., memory 130 of FIG. 1, memory 220 of FIG. 2), a touch screen 1130 The touch screen 240 of Figure 2), the sensor portion 1140 and the processor 1150 (e.g., the processor 120 of Figure 1, the processor 280 of Figure 2).

11, the wireless communication circuit 1110, the memory 1120 and the touch screen 1130 constituting the electronic device 1100 are connected to the wireless communication circuit 210 ), The memory 220, and the touch screen 240, detailed description thereof will be omitted.

According to various embodiments of the present invention, the memory 1120 (e.g., memory 130 of FIG. 1, memory 220 of FIG. 2) You can store a table that maps the amount of light and the range of pressure levels.

According to various embodiments of the present invention, the sensor unit 1140 may acquire a user's fingerprint image using at least one of optical, electrostatic, ultrasonic, and infrared (IR) methods. For example, an optical system can capture a user's fingerprint image by capturing an image of the fingerprint using a photosensitive diode. In the electrostatic method, a fingerprint image can be obtained by using a principle in which a portion of the fingerprint that is touched by the electrode is detected, and a portion that is not touched (valley) is not detected. The ultrasonic method generates ultrasonic waves through a piezo, and obtains a fingerprint image by using a path difference of an ultrasonic wave that is reflected and reflected by the fingerprints of the fingerprint.

In one embodiment, the sensor portion 1140 may include a fingerprint sensor that is optically driven.

(E.g., the processor 120 of FIG. 1, the processor 280 of FIG. 2) may be coupled to the overall operation of the electronic device 1100 and to the interior of the electronic device 1100 To control signal flow between the configurations, to perform data processing, and to control the power supply from the battery (e.g., battery 189 of FIG. 1) to the configurations.

In one embodiment, the processor 1150 may control the sensor portion 1140, e.g., an optical fingerprint sensor, to emit a light source when an input requesting fingerprint registration is sensed. The light emitted from the light source may be reflected from a user's body (e.g., a finger), and the processor 1150 may acquire a fingerprint image based on light reflected from the user's body.

In one embodiment, the processor 1150 may measure the pressure level at the time of obtaining the fingerprint image. For example, the processor 1150 may measure the pressure level based on the amount of light reflected from the user's body or the acquired fingerprint image.

In one embodiment, the processor 1150 determines a level of pressure corresponding to the amount of light reflected from the user's living body, based on a table that maps the amount of reflected light and the range of pressure levels stored in the memory 1120 You can decide.

In one embodiment, the processor 1150 may analyze the characteristics of the fingerprint based at least in part on the fingerprint image acquired via the sensor portion 1140. The processor 1150 may determine parameters associated with processing the acquired fingerprint image based on the analyzed fingerprint characteristics and the measured pressure level. The processor 1150 may generate fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameters associated with processing the fingerprint image, and store the fingerprint data in the memory 1120. For example, the fingerprint data may be data mapped to the characteristics of the fingerprint, the pressure level, and parameters associated with processing the fingerprint image.

In one embodiment, when an input requesting fingerprint authentication is detected, the processor 1150 may control the sensor portion 1140, e.g., an optical fingerprint sensor, to emit a light source. The light emitted from the light source may be reflected by the user's living body, and the processor 1150 may acquire a fingerprint image based on the light reflected from the user's living body, and measure the pressure level at the time of acquiring the fingerprint image have. The processor 1150 may analyze the characteristics of the fingerprint based at least on the acquired fingerprint image and may select the characteristics of the analyzed fingerprint and the parameters corresponding to the measured pressure level. Processor 1150 may process the acquired fingerprint image based on the selected parameter. The processor 1150 can compare the processed fingerprint image with the fingerprint image stored in the memory 220, and perform fingerprint authentication based on the comparison result.

12 is a flowchart illustrating a method of registering a fingerprint according to various embodiments.

Referring to FIG. 12, a processor (e.g., processor 280 of FIG. 2) obtains a fingerprint image through a sensor (e.g., sensor portion 1140 of FIG. 11) in operation 1201, The level can be measured.

In one embodiment, the sensor may comprise a fingerprint sensor driven in an optically driven manner. The processor can control the optical fingerprint sensor to emit a light source when an input requesting fingerprint registration is sensed. The light emitted from the light source may be reflected by the user's living body, and the processor may acquire the fingerprint image based on the light reflected from the user's living body.

In one embodiment, the processor may measure the pressure level at the time of obtaining the fingerprint image based on the amount of light reflected from the user's body or the obtained fingerprint image.

In one embodiment, the sensor may be disposed in at least a portion of the area of the touch screen (e.g., touch screen 1130 of FIG. 11) (e.g., fingerprint recognition area).

In one embodiment, when an input requesting fingerprint registration is detected, the processor may display on the touch screen a user interface (e.g., 610, 620, 630 of FIG. 6) requesting fingerprint registration by a range of pressure levels .

In one embodiment, the processor may analyze the characteristics of the fingerprint based at least on the fingerprint image obtained in operation 1203. For example, the characteristics of the fingerprint may include the distance between the feature points of the fingerprint, the ratio of the fingerprint to the fingerprint, the width of the fingerprint, the width of the fingerprint, and the like.

In one embodiment, the processor may, in 1205 operation, determine parameters associated with the processing of the fingerprint image based on the fingerprint's characteristics and pressure level.

In one embodiment, the processor generates fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameters associated with the processing of the fingerprint image in operation 1207, and stores the generated fingerprint data in a memory (e.g., memory 1120 )).

The operation from operation 1203 to operation 1207 in FIG. 12 is the same as operation 703 to operation 707 in FIG. 7, so a detailed description thereof will be omitted.

13 is a flow chart illustrating a method for performing acquired fingerprint authentication in accordance with various embodiments.

Referring to FIG. 13, a processor (e.g., processor 280 of FIG. 2) obtains a fingerprint image through a sensor (e.g., sensor portion 1140 of FIG. 11) in operation 1301, The level can be measured.

In one embodiment, the sensor may comprise a fingerprint sensor driven in an optically driven manner. The processor can control the optical fingerprint sensor to emit a light source when an input requesting fingerprint registration is sensed. The light emitted from the light source may be reflected by the user's living body, and the processor may acquire the fingerprint image based on the light reflected from the user's living body.

In one embodiment, the processor may measure the pressure level at the time of obtaining the fingerprint image based on the amount of light reflected from the user &apos; s body or the obtained fingerprint image.

In one embodiment, the sensor may be located in at least a portion of the touch screen (e.g., touch screen 1130 of FIG. 11) (eg fingerprint recognition area).

In one embodiment, if a fingerprint input is detected in a fingerprint recognition area (e.g., 613, 623, 633 in FIG. 6) formed in at least a portion of the touch screen, the processor obtains the fingerprint image through the sensor, The pressure level at the time of acquisition can be measured.

In one embodiment, the processor may analyze the characteristics of the fingerprint based at least on the fingerprint image obtained in operation 1303. For example, the characteristics of the fingerprint may include the distance between the feature points of the fingerprint, the ratio of the fingerprint to the fingerprint, the width of the fingerprint, the width of the fingerprint, and the like.

In one embodiment, the processor may select parameters based on the characteristics of the fingerprint analyzed and the measured pressure level in operation 1305, and process the obtained fingerprint image based on the selected parameter in 1307 operation. The processor compares the fingerprint image processed in operation 1309 with the registered fingerprint image, and performs fingerprint authentication based on the comparison result.

The operations 1303 and 1309 of FIG. 13 are the same as the operations 1003 and 1009 of FIG. 10, and thus detailed description thereof will be omitted.

The electronic device according to the various embodiments disclosed herein can be various types of devices. An electronic device may include, for example, a portable communication device (e.g., a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. The electronic device according to the embodiment of the present document is not limited to the above-described devices.

It should be understood that the various embodiments of the present document and the terminology used herein are not intended to limit the technical features described in this document to the specific embodiments, but to include various modifications, equivalents, or alternatives of the embodiments. In the description of the drawings, like reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly dictates otherwise. At least one of A or B, at least one of A and B, at least one of A or B, A, B or C, at least one of A, B and C, , B, or C, "may include all possible combinations of items listed together in the corresponding phrase of the phrases. Terms such as "first", "second", or "first" or "second" may simply be used to distinguish the component from the other component, Order). It is to be understood that any (e.g., first) component may be referred to as being "coupled" or "connected" to another (eg, second) component, with or without the term "functionally" When mentioned, it means that said component can be connected directly (e. G. By wire) to said another component, wirelessly, or via a third component.

The term "module" as used herein may include units implemented in hardware, software, or firmware, and may be used interchangeably with terms such as, for example, logic, logic blocks, components, or circuits. A module may be an integrally constructed component or a minimum unit of the component or part thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

The various embodiments of the present document may include one or more instructions stored in a storage medium (e.g., internal memory 136 or external memory 138) readable by a machine (e.g., electronic device 101) (E. G., Program 140). &Lt; / RTI &gt; For example, a processor (e.g., processor 120) of a device (e.g., electronic device 101) may invoke and execute at least one of the stored one or more instructions from a storage medium. This enables the device to be operated to perform at least one function in accordance with the at least one command being called. The one or more instructions may include code generated by the compiler or code that may be executed by the interpreter. A device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transient' means that the storage medium is a tangible device and does not include a signal (e.g., electromagnetic waves), which means that data is permanently stored on the storage medium Do not distinguish between cases where they are temporarily stored.

According to one embodiment, a method according to various embodiments disclosed herein may be provided in a computer program product. A computer program product can be traded between a seller and a buyer as a product. The computer program product may be distributed in the form of a machine readable storage medium (e.g., compact disc read only memory (CD-ROM)), or via an application store (e.g. PlayStore ^TM ) For example, smartphones), directly or online (e.g., downloaded or uploaded). In the case of on-line distribution, at least a portion of the computer program product may be temporarily stored, or temporarily created, on a storage medium readable by a machine, such as a manufacturer's server, a server of an application store, or a memory of a relay server.

According to various embodiments, each component (e.g., a module or program) of the components described above may include one or more entities. According to various embodiments, one or more of the above-described components or operations may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into one component. In such a case, the integrated component may perform one or more functions of each component of each of the plurality of components in a manner similar or similar to that performed by the corresponding one of the plurality of components prior to the integration . In accordance with various embodiments, operations performed by a module, program, or other component may be performed sequentially, in parallel, repetitively, or heuristically, or one or more of the operations may be performed in a different order, Or one or more other operations may be added.

210: wireless communication circuit
220: Memory
240: Touch screen
250: Pressure sensor
270: fingerprint sensor
280: Processor

Claims (22)

In an electronic device,
display;
A first sensor;
A second sensor;
Memory; And
And a processor electrically coupled to the display, the first sensor, the second sensor, and the memory,
The processor comprising:
Acquiring a fingerprint image through the first sensor, measuring a pressure level at the time of acquiring the fingerprint image through the second sensor,
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Determine a parameter associated with the processing of the fingerprint image based on the characteristic of the fingerprint and the pressure level,
And generate and store fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameter. The method according to claim 1,
Wherein at least one of the first sensor or the second sensor is disposed on at least a portion of the display. The method according to claim 1,
The processor comprising:
An electronic device configured to process at least one of noise reduction, distortion correction, or low resolution restoration associated with the fingerprint image based at least on the parameter. The method according to claim 1,
The processor comprising:
And to analyze at least one of the characteristics of the fingerprint based on at least the distance between the feature points of the fingerprint, the ratio of the fingerprint to the fingerprint, or the width of the fingerprint and the width of the fingerprint, based at least on the obtained fingerprint image. The method according to claim 1,
The processor comprising:
A user interface for guiding a fingerprint to be registered according to a pressure level is displayed on the display when an input for requesting fingerprint registration is detected,
To obtain a fingerprint image through the first sensor disposed on the display indicating the user interface and to measure the pressure level at the time of acquiring the fingerprint image through the second sensor. The method according to claim 1,
Wherein the first sensor comprises a fingerprint sensor and the second sensor comprises a pressure sensor. In an electronic device,
display;
A first sensor;
A second sensor;
Memory; And
And a processor electrically coupled to the display, the first sensor, the second sensor, and the memory,
The processor comprising:
Acquiring a fingerprint image through the first sensor, measuring a pressure level at the time of acquiring the fingerprint image through the second sensor,
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Selecting a parameter based on the characteristic of the analyzed fingerprint and the measured pressure level,
Processing the obtained fingerprint image based on the selected parameter,
And compares the processed fingerprint image with a fingerprint image stored in the memory, and performs fingerprint authentication based on the comparison result. 8. The method of claim 7,
The processor comprising:
Adjusting at least one parameter of the specified filter based on the selected parameter,
Wherein the at least one parameter is adapted to process the acquired fingerprint image using an adjusted filter. In an electronic device,
display;
A sensor portion disposed in at least a part of the display;
Memory; And
And a processor electrically connected to the display, the sensor unit, and the memory,
The processor comprising:
Acquiring a fingerprint image through the sensor unit, measuring a pressure level at the time of acquiring the fingerprint image,
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Determine a parameter associated with the processing of the fingerprint image based on the characteristic of the fingerprint and the pressure level,
And generate and store fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameter. 10. The method of claim 9,
The sensor unit includes an optical type fingerprint sensor,
The processor comprising:
The fingerprint sensor may be configured to control the optical fingerprint sensor to emit a light source when an input for requesting fingerprint registration is detected and to obtain the fingerprint image based on the reflected light when the emitted light is reflected from the user's body, And to measure a pressure level at the time of acquiring the fingerprint image based on the amount of light reflected from the user's living body or the obtained fingerprint image. 10. The method of claim 9,
The processor comprising:
A fingerprint image acquiring unit that acquires a fingerprint image through the sensor unit when an input requesting fingerprint authentication is sensed,
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Selecting a parameter based on the characteristic of the analyzed fingerprint and the measured pressure level,
Processing the obtained fingerprint image based on the selected parameter,
And compares the processed fingerprint image with a fingerprint image stored in the memory, and performs fingerprint authentication based on the comparison result. A method for determining a fingerprint processing method based on a pressure level of a fingerprint input,
Acquiring a fingerprint image through a first sensor and measuring a pressure level at the time of acquiring the fingerprint image through a second sensor;
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Determining a parameter associated with the processing of the fingerprint image based on the characteristic of the fingerprint and the pressure level; And
Generating and storing fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameter. 13. The method of claim 12,
Wherein at least one of the first sensor or the second sensor is disposed on at least a portion of the display. 13. The method of claim 12,
Wherein the determining the parameter associated with the processing of the fingerprint image comprises:
Processing at least one of noise reduction, distortion correction, or low resolution reconstruction associated with the fingerprint image based at least in part on the parameter. 13. The method of claim 12,
Wherein the characteristic of the fingerprint includes at least one of a distance between minutiae points of the fingerprint, a ratio of the finger to the fingerprint of the fingerprint, or a width of the fingerprint and a radius of the fingerprint. 13. The method of claim 12,
Further comprising the step of displaying on the display a user interface for guiding the user to register a fingerprint by pressure level when an input requesting fingerprint registration is detected,
The operation of measuring the pressure level may include:
Acquiring a fingerprint image through the first sensor disposed on the display indicating the user interface and measuring a pressure level at the time of acquiring the fingerprint image through the second sensor. 13. The method of claim 12,
Wherein the first sensor comprises a fingerprint sensor and the second sensor comprises a pressure sensor. A method for determining a fingerprint processing method based on a pressure level of a fingerprint input,
Acquiring a fingerprint image through a first sensor and measuring a pressure level at the time of acquiring the fingerprint image through a second sensor;
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Selecting a parameter based on the characteristic of the analyzed fingerprint and the measured pressure level;
Processing the acquired fingerprint image based on the selected parameter; And
Comparing the processed fingerprint image with a fingerprint image stored in the memory, and performing fingerprint authentication based on the comparison result. 19. The method of claim 18,
The processing of the obtained fingerprint image may include:
Adjusting at least one parameter of a specified filter based on the selected parameter;
Wherein the at least one parameter comprises processing the acquired fingerprint image using an adjusted filter. A method for determining a fingerprint processing method based on a pressure level of a fingerprint input,
Acquiring a fingerprint image through the sensor unit, and measuring a pressure level at the time of acquiring the fingerprint image;
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Determining a parameter associated with the processing of the fingerprint image based on the characteristic of the fingerprint and the pressure level; And
Generating and storing fingerprint data based on the characteristics of the fingerprint, the pressure level, and the parameter. 21. The method of claim 20,
The sensor unit includes an optical type fingerprint sensor,
And acquiring a fingerprint image through the sensor unit and measuring a pressure level at the time of acquiring the fingerprint image,
Controlling the optical fingerprint sensor to emit a light source; And
Acquiring the fingerprint image based on the reflected light when the emitted light is reflected from the user's body, and acquiring the fingerprint image based on the amount of light reflected from the user's living body or the obtained fingerprint image &Lt; / RTI &gt; 21. The method of claim 20,
Acquiring a fingerprint image through the sensor unit when an input requesting fingerprint authentication is detected, and measuring a pressure level at the time of acquiring the fingerprint image;
Analyzing characteristics of the fingerprint based at least on the obtained fingerprint image;
Selecting a parameter based on the characteristic of the analyzed fingerprint and the measured pressure level;
Processing the acquired fingerprint image based on the selected parameter;
Comparing the processed fingerprint image with a fingerprint image stored in the memory, and performing fingerprint authentication based on the comparison result.

Images