WO2019076272A1 - Procédé d'affichage d'interface utilisateur et dispositif électronique - Google Patents

Procédé d'affichage d'interface utilisateur et dispositif électronique Download PDF

Info

Publication number
WO2019076272A1
WO2019076272A1 PCT/CN2018/110264 CN2018110264W WO2019076272A1 WO 2019076272 A1 WO2019076272 A1 WO 2019076272A1 CN 2018110264 W CN2018110264 W CN 2018110264W WO 2019076272 A1 WO2019076272 A1 WO 2019076272A1
Authority
WO
WIPO (PCT)
Prior art keywords
image
brush
processor
parameter
data set
Prior art date
Application number
PCT/CN2018/110264
Other languages
English (en)
Chinese (zh)
Inventor
江元麟
吕俊超
许献仁
Original Assignee
神盾股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 神盾股份有限公司 filed Critical 神盾股份有限公司
Priority to GB1914055.7A priority Critical patent/GB2574973B/en
Priority to JP2019551393A priority patent/JP6836662B2/ja
Publication of WO2019076272A1 publication Critical patent/WO2019076272A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06V40/1335—Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06V40/13—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06V40/1347—Preprocessing; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50—Maintenance of biometric data or enrolment thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/60—Static or dynamic means for assisting the user to position a body part for biometric acquisition
    • G06V40/67—Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user

Definitions

  • the present invention relates to an interface display technology, and in particular to a display method for a user interface suitable for fingerprint registration and an electronic device to which the display method is applied.
  • the general fingerprint identification technology is that the user presses a finger on the fingerprint sensor to register the fingerprint in a one-time or multiple-press manner, and provides a corresponding user interface to inform the user of the progress of the fingerprint registration. For example, if the fingerprint is registered by multiple presses, each time the user presses once, the corresponding fingerprint image displayed on the user interface will increase until the entire or a large enough range of fingerprints is displayed, that is, the fingerprint is completed. registered.
  • the currently known fingerprint recognition related technology cannot correspondingly display the fingerprint image on the user interface according to the sliding progress of the user's finger to inform the user of the fingerprint.
  • the progress of the registration That is to say, in the process of sliding the finger for fingerprint registration, the user cannot know the progress of the fingerprint registration in real time.
  • the present invention provides a display method of a user interface and an electronic device, which allows a user to know the progress of registration of a corresponding fingerprint through a display of the electronic device during fingerprint registration by a sliding brush.
  • a display method of a user interface of the present invention is suitable for fingerprint registration.
  • the display method comprises the steps of: obtaining a brush image by a fingerprint sensor; analyzing the brush image to obtain a plurality of feature points of the brush image; determining whether the brush image is the first brush image; and if the brush image is a first brush image, generating a pre-registration data set according to the plurality of feature points of the brush image, and analyzing the pre-registration data set to obtain a basic image parameter; and displaying the completion area to the user according to the basic image parameter On the reference image in the interface.
  • An electronic device of the present invention includes a fingerprint sensor, a processor, and a display.
  • the fingerprint sensor is used to obtain a brush image.
  • the processor couples the fingerprint sensor.
  • the processor is configured to analyze the brush image to obtain a plurality of feature points of the brush image, and determine whether the brush image is the first brush image.
  • the display couples the processor. If the processor determines that the brush image is the first brush image, the processor generates a pre-registration data set according to the plurality of feature points of the brush image, and analyzes the pre-registration data set to obtain the base image parameter.
  • the processor displays the completion area on the reference image in the user interface through the display according to the basic image parameters.
  • An electronic device of the present invention includes a fingerprint sensor, a processor, and a display.
  • the fingerprint sensor is used to obtain a brush image.
  • the processor couples the fingerprint sensor.
  • the processor is configured to analyze the brush image and obtain coordinate parameters of the feature points located at the uppermost left corner position of the brush image.
  • the processor is further configured to determine whether the brush image is the first brush image.
  • the display couples the processor. If the processor determines that the brush image is the first brush image, the pre-registration data set is generated according to the plurality of feature points of the brush image.
  • the processor displays the completion area on the reference image in the user interface according to the coordinate parameter and the area of the brush image.
  • the display method and the electronic device of the user interface of the present invention can obtain corresponding image adjustment parameters by analyzing a plurality of brush images acquired in the fingerprint registration process, and can be presented in the user interface according to the image adjustment parameters.
  • the range of the completion area of the reference image in the change is to provide information on the user's real-time fingerprint registration progress.
  • FIG. 2 is a flowchart of a fingerprint registration method according to an embodiment of the present invention.
  • FIG. 3 is a flow chart of a fingerprint registration method in accordance with a first embodiment of the present invention.
  • FIG. 4 is a schematic diagram of a pre-registration data set in accordance with a first embodiment of the present invention.
  • FIG. 6 is a flowchart of a fingerprint registration method in accordance with a second embodiment of the present invention.
  • Figure 7 is a schematic illustration of a pre-registration data set in accordance with a second embodiment of the present invention.
  • FIGS. 8A-8G are schematic diagrams of finger actions and corresponding user interface displays in accordance with a second embodiment of the present invention.
  • FIG. 9 is a flowchart of a fingerprint registration method in accordance with a third embodiment of the present invention.
  • Figure 10 is a schematic illustration of a pre-registration data set in accordance with a third embodiment of the present invention.
  • 11A through 11I are schematic diagrams of finger actions and corresponding user interface displays in accordance with a third embodiment of the present invention.
  • the electronic device 100 includes a processor 110, a fingerprint sensor 120, a memory 130, and a display 140.
  • the processor 110 couples the fingerprint sensor 120, the memory 130, and the display 140.
  • the electronic device 100 can be, for example, an electronic product such as a smart phone, a notebook (NB), or a tablet PC.
  • the electronic device 100 performs a fingerprint sensing operation through the fingerprint sensor 120 to collect a fingerprint image of the user.
  • the fingerprint sensor 120 performs fingerprint sensing.
  • the fingerprint sensor 120 continuously takes a plurality of brush images and provides them to the processor 110.
  • the processor 110 analyzes the brush images to extract a plurality of feature points from each of the brush images, wherein the feature points refer to fingerprint feature points of the finger. Thereafter, the processor 110 generates fingerprint registration data based on the feature point data.
  • the fingerprint sensor 120 obtains the slide image images one by one, and in the process of the processor 110 performing the analysis one by one, the processor 110 correspondingly changes the display on the display 140 according to the analysis result of the slide brush images obtained one by one.
  • the reference image in the user interface includes a completion area.
  • the completion area of the reference image is used to indicate the coverage of the fingerprint information that has been obtained, and the range change of the completion area of the reference image is gradually increased and changed corresponding to the progress of the current user's slide brush (ie, the progress of the fingerprint information). . Therefore, the fingerprint registration function of the electronic device 100 of the present invention can provide a good interaction effect, and let the user know the current registration progress.
  • the fingerprint sensor 120 is, for example, a capacitive fingerprint sensor or an optical fingerprint sensor, and the present invention does not limit the type of the fingerprint sensor 120.
  • the fingerprint sensing mechanism of the fingerprint sensor 120 may be a swiping sensing or a pressing sensing.
  • the fingerprint registration of the embodiments of the present invention is fingerprint registration by sliding sensing. That is to say, in the process of fingerprint registration, the user puts a finger on the sensing surface of the fingerprint sensor 120 to perform a sliding brush, and the fingerprint sensor 120 senses and acquires fingerprint information of the user via the sensing surface.
  • the electronic device 100 can be designed to allow the user to perform fingerprint registration by sliding the finger, that is, the fingerprint sensor 120 performs fingerprint sensing in a sliding sensing manner, and when performing fingerprint authentication, Then, the user performs fingerprint authentication by pressing a finger, that is, the fingerprint sensor 120 performs fingerprint sensing in a push-sensing manner.
  • the display 140 is, for example, a liquid crystal display (LCD), a light emitting diode (LED) display, a micro light emitting diode (Micro LED) display, or an organic light emitting diode (Organic LED) display.
  • the display of the present invention does not limit the type of display 140.
  • the display 140 when the user performs fingerprint registration, displays a corresponding user interface, and includes a reference image simulating a fingerprint in the user interface. During the process of the user swiping the finger on the fingerprint sensor 120, the range of the completed area of the reference image displayed by the display 140 may correspondingly change and increase as the fingerprint data sensed by the fingerprint sensor 120 increases.
  • the fingerprint registration method of the present embodiment can be applied to the electronic device 100 of the embodiment of FIG. 1.
  • the electronic device 100 performs a sliding brush sensing operation through the fingerprint sensor 120 to obtain a sliding brush image of the object (ie, the user's finger) one by one.
  • the fingerprint sensor 120 takes a slide image.
  • the processor 110 analyzes the brush image to obtain a plurality of feature points of the brush image.
  • the processor 110 determines whether the brush image is the first brush image. If yes, step S230 is performed.
  • step S230 the processor 110 generates a pre-registration data set according to the feature points of the brush image, and analyzes and obtains the base image parameter (h) of the pre-registration data set.
  • step S232 the processor 110 displays the completion area of the reference image on the user interface according to the base image parameter (h). If no, step S235 is performed.
  • step S235 the processor 110 merges the feature points of the brush image into the pre-registration data set to generate a merged pre-registration data set.
  • step S245 the processor 110 will take the merged image parameter (H) as the new base image parameter (h).
  • step S250 the processor 110 increases the range of the completed region of the reference image in the user interface according to the image adjustment parameter (Step), that is, increases the length of the completed region.
  • step S310 the electronic device 100 senses the object (ie, the user's finger) through the fingerprint sensor 120 to obtain a brush image.
  • step S320 the processor 110 analyzes the brush image to obtain a plurality of feature points of the brush image.
  • step S331 the processor 110 determines whether the brush image is the first brush image. If so, the processor 110 performs step S332.
  • step S332 the processor 110 generates a pre-registration data set based on the feature points of the brush image, and obtains a base image parameter (h) of the pre-registration data set.
  • step S333 the processor 110 displays the completed area of the reference image in accordance with the base image parameter (h). If not, the processor 110 performs step S334.
  • step S334 the processor 110 merges the feature points of the brush image into the pre-registration data set to generate a merged pre-registration data set.
  • step S341 the processor 110 takes the merged image parameter (H) as a new base image parameter (h).
  • step S350 the processor 110 increases the range of the completed region of the reference image according to the image adjustment parameter (Step), that is, increases the length of the completed region.
  • step S380 the processor 110 determines whether the merged image parameter (H) is greater than a preset threshold.
  • the processor 110 ends the fingerprint sensing operation of the fingerprint sensor 120, and stores the pre-registration data set into the memory 130 as a fingerprint registration data set to complete the fingerprint registration process. If not, the processor 110 performs step S310 to obtain the next slider image.
  • FIG. 4 is a schematic diagram of a pre-registration data set in accordance with a first embodiment of the present invention.
  • 5A through 5E are schematic diagrams of a finger swipe action and a corresponding user interface display in accordance with a first embodiment of the present invention. Referring to FIG. 1 , FIG. 4 and FIG. 5A to FIG. 5E , the flow of FIG. 3 described above can also be applied to the embodiment.
  • the processor 110 analyzes the brush image 410 to obtain a plurality of feature points 411 of the brush image 410 and a base image parameter h. .
  • the area of the brush image 410 may be equal to the area of the sensing surface of the fingerprint sensor 120.
  • the initial value of the base image parameter h may be the distance between the two feature points of the feature points 411 of the first brush image 410 that are the farthest in the length direction, but the present invention is not limited thereto.
  • the initial value of the base image parameter h may also be the length of the brush image 410, that is, the length of the sensing surface of the fingerprint sensor 120.
  • the processor 110 generates a pre-registration data set based on the feature points 411 of the wiper image 410. Next, the processor 110 continues to acquire the next slider image 420 and obtains the feature points of the brush image 420.
  • processor 110 incorporates the feature points of the wiper image 420 into the pre-registration data set (ie, the feature points of the merged wiper images 410 and 420) to generate a new pre-registration data set 400.
  • the processor 110 calculates a merged image parameter H of the merged pre-registration data set 400.
  • the merged image parameter H may be the distance between the two feature points of the merged feature points that are farthest apart in the length direction after combining the brush images 410 and 420, or may be the merged brush images 410 and 420.
  • the processor 110 calculates the newly added length of the merged pre-registration data set 400 to adjust the reference image 510 of the user interface 500 accordingly.
  • the length of the area 511 is completed. It is to be noted that the width DW of the completion area 511 of the reference image 510 is preset and fixed.
  • the processor 110 correspondingly increases the length of the completion area 511.
  • the processor 110 determines whether the merged image parameter H is greater than a preset threshold. If yes, it means that enough fingerprint registration data has been obtained. For example, when the merged image parameter H is greater than a preset threshold, it means that a sufficient number of fingerprint feature points have been obtained. It can also mean that a sufficient number of slider images have been obtained. Therefore, the processor 110 stores the pre-registered data set into the memory 130 as a fingerprint registration data set to complete the fingerprint registration process.
  • FIG. 5A to FIG. 5E are taken as an example.
  • the electronic device 100 displays the reference image 510 on the user interface 500 and acquires the brush image one by one.
  • the electronic device 100 displays the corresponding completion area 511 in the reference image 510, wherein the length of the completion area 511 is the base image parameter h corresponding to the first brush image.
  • the width of the completion region 511 is preset and fixed, and as shown, the width of the completion region 511 may be equal to or larger than the width of the reference image 510. As shown in FIG.
  • the electronic device 100 increases the length of the completed region 511 of the reference image 510 according to the image adjustment parameter Step. As shown, the width of the finished area 511 is fixed. As shown in FIG. 5C, when the user's finger F leaves the fingerprint sensor 120, the length of the completion area 511 of the reference image 510 stops increasing. However, since sufficient fingerprint information has not been obtained, that is, the merged image parameter H has not been greater than the preset threshold, the fingerprint registration procedure is still not completed, so the user interface 500 continues to display the completed area 511 of the reference image 510 and prompts the user to slide again. Brush your fingers. Next, as shown in FIG.
  • the user's finger F is placed again on the fingerprint sensor 120 of the electronic device 100 and the brushing action is performed.
  • the electronic device 100 will acquire a new brush image and continue to increase the length of the completed region 511 of the reference image 510 based on the newly added brush image (ie, the newly added fingerprint feature point data).
  • the processor 110 will completely cover the reference image 510, that is, the length of the completed region 511 may be greater than or equal to the reference image 510. length. Therefore, the fingerprint registration process has been completed, the processor 110 stops the fingerprint sensing operation of the fingerprint sensor 120, and generates a fingerprint registration data set according to the pre-registration data set to complete the fingerprint registration process.
  • FIG. 6 is a flow chart of a fingerprint registration method in accordance with a second embodiment of the present invention.
  • the fingerprint registration method of the present embodiment can be applied to the electronic device 100 of the embodiment of FIG. 1.
  • the electronic device 100 senses the object (ie, the user's finger) through the fingerprint sensor 120 to obtain a brush image.
  • the processor 110 analyzes the brush image to obtain a plurality of feature points of the brush image.
  • the processor 110 determines whether the brush image is the first brush image. If so, the processor 110 performs step S632.
  • the first merged image parameter (H) may be the distance between the two feature points of the merged feature points that are farthest apart in the length direction in the pre-registration data set, or may be the sum of the lengths of the multiple brush images minus more The length of the overlapping portion of the brush image.
  • the second merged image parameter (W) is the distance of the two feature points whose merged feature points are farthest apart in the width direction.
  • step S641 the processor 110 takes the first merged image parameter (H) as a new base image parameter (h).
  • step S650 the processor 110 increases the range of the completed region of the reference image according to the image adjustment parameter (Step).
  • step S680 the processor 110 determines whether the first merged image parameter (H) is greater than the first preset threshold, and determines whether the second merged image parameter (W) is greater than the second preset threshold. If yes, the processor 110 ends the fingerprint sensing operation of the fingerprint sensor 120, and generates fingerprint registration data according to the combined pre-registration data set to complete the fingerprint registration process. If not, the processor 110 performs step S610 to obtain the next slider image.
  • FIG. 7 is a schematic illustration of a pre-registration data set in accordance with a second embodiment of the present invention.
  • 8A through 8G are schematic diagrams of finger actions and corresponding user interface displays in accordance with a second embodiment of the present invention.
  • the flow of FIG. 6 described above can also be applied to the embodiment.
  • the processor 110 analyzes the brush image 710 to obtain a plurality of feature points 711 of the brush image 710, and obtains a base image.
  • the processor 110 displays the completion area 811 of the reference image 810 in accordance with the coordinate parameters (X1, Y1) and the base image parameter h.
  • the area of the brush image 710 may be equal to the area of the sensing surface of the fingerprint sensor 120.
  • the base image parameter h may refer to the distances of the two feature points farthest from each other in the longitudinal direction among the feature points 711 of the brush image 710, but the present invention is not limited thereto.
  • the base image parameter h may also refer to the length of the brush image 710, that is, the length of the sensing surface of the fingerprint sensor 120.
  • the processor 110 generates a pre-registration data set based on the feature points 711 of the wiper image 710.
  • the processor 110 continues to take the next slider image 720 and acquires the feature points of the brush image 720.
  • the processor 110 incorporates the feature points of the wiper image 720 into the pre-registration data set (ie, the feature points of the merged wiper images 710 and 720) to produce a merged pre-registration data set 700.
  • the processor 110 calculates a first merged image parameter H (ie, a maximum image length) and a second merged image parameter W (ie, a maximum image width) of the merged pre-registered data set 700.
  • the processor 110 subtracts the first merged image parameter H from the base image parameter h to obtain an image adjustment parameter Step.
  • the processor 110 increases the length of the completed region 811 of the reference image 810 according to the image adjustment parameter Step.
  • the processor 110 calculates the newly added length of the merged pre-registration data set 700 to adjust the reference image in the user interface 800 accordingly.
  • the width of the completed area 811 of the reference image 810 is preset and fixed corresponding to each finger swipe action. That is to say, the width of the completed area 811 of the reference image 810 is increased only every time the finger swipe action is added. In each process of the finger sliding action, the processor 110 increases the length of the completed area 811 for each new feature point data of the sliding brush image.
  • the processor 110 will display a prompt to the user interface through the display 140 to ask the user to swipe the finger again.
  • the processor 110 obtains the first sliding brush image 730 of the second sliding brush through the fingerprint sensor 120, and the processor 110 takes out the feature point 711 of the sliding brush image 730 and The pre-registration data set 700 is incorporated.
  • the processor 110 according to the coordinate parameter (X1, Y1) of the feature point located at the top left position of the brush image 710 (ie, the first brush image obtained when the first brush is swiped) and the second time slip
  • the processor 110 determines, according to the displacement parameter ( ⁇ x, ⁇ y), the completed region 811 of the reference image 810 of the user interface 800 corresponding to the increased width range and position of the second brushing action.
  • the processor 110 will pass the first brush image 730 obtained when the second brush is swiped.
  • the coordinate parameter (X2, Y2) of the feature point of the top leftmost position in the middle that is, the displacement parameter ( ⁇ x, ⁇ y)
  • the base image parameter h of the first slider image 730 determines the length of the new portion 811b of the completion region 811 corresponding to the second slider.
  • the processor 110 displays the start position of the portion 811b of the completion region 811 corresponding to the second brush according to the coordinate parameter (X2, Y2).
  • FIG. 8A to FIG. 8G are taken as an example.
  • the corresponding completion area 811 will be displayed on the reference image 810 of the user interface 800.
  • the length range of the completion region 811 of the reference image 810 will be adjusted accordingly.
  • the processor 110 increases the length range of the completed region 811 of the reference image 810 according to the image adjustment parameter Step in a manner of fixing the image width.
  • the width DW1 of the completion area 811 of the reference image 810 is fixed, and the length thereof is increased after the new brush image is acquired.
  • FIG. 8D when the user's finger F leaves the fingerprint sensor 120, the range of the completion area 811 of the reference image 810 will stop increasing.
  • the user interface 800 remains in this reference image 810 and its existing completion area 811 and will prompt the user to be swiped again. Therefore, as shown in FIG. 8E and FIG. 8F, the user's finger is pressed again on the fingerprint sensor 120 of the electronic device 100 and the second brushing operation is performed.
  • the processor 110 calculates the coordinate parameter (X2, Y2) of the feature point of the top leftmost position thereof, and sets (X2, Y2) with the first time.
  • the range of the completed region 811 of the reference image 810 continues to increase (ie, 811b), wherein the processor 110 determines the completion region based on the displacement parameters ( ⁇ x, ⁇ y).
  • the 811 newly increases the starting position of the portion 811b, and increases the length range of the completed region 811 of the reference image 810 corresponding to the portion 811b of the second sliding brush in accordance with the image adjustment parameter Step in a manner of fixing the image width. That is to say, in the process of the second brushing action of the finger F, the width DW2 of the new portion 811b of the completion region 811 of the reference image 810 is fixed, and the length thereof is obtained after the new brush image is acquired. Increased. Finally, as shown in FIG.
  • the processor 110 will stop the fingerprint sensing operation of the fingerprint sensor 120 to complete the fingerprint registration process.
  • step S924 the processor 110 generates a pre-registration data set according to the feature points of the brush image.
  • step S925 the processor 110 displays the corresponding completion area on the reference image of the user interface according to the coordinate parameter (X, Y) and the area of the brush image. It is worth noting that the area of the brush image is equivalent to the area of the sensing surface of the fingerprint sensor 120. If no, step S926 is performed.
  • step S926 the processor 110 merges the feature points of the brush image into the pre-registration data set.
  • step S940 the processor 110 increases the range of the completed area based on the coordinate parameters (X, Y) and the area of the brush image.
  • step S980 the processor 110 determines whether the total area of the pre-registered data set is greater than a preset threshold.
  • the total area of the pre-registration data set can indicate that the sum of the area of all the brush images minus the area where the brush image overlaps, and also the number of feature points included in the pre-registered data set.
  • the processor 110 determines whether the number of feature points included in the pre-registration data set is greater than a preset threshold. If so, the processor 110 ends the fingerprint sensing operation of the fingerprint sensor 120 and generates fingerprint registration data based on the merged pre-registration data set to complete the fingerprint registration process. If not, the processor 110 performs step S910 to sense and obtain the next slider image.
  • FIG. 10 is a schematic illustration of pre-registration data in accordance with a third embodiment of the present invention.
  • 11A through 11I are schematic diagrams of a finger swipe action and a corresponding user interface display in accordance with a third embodiment of the present invention. Please refer to FIG. 1, FIG. 10, and FIG. 11A to FIG. 11I for the following description.
  • the embodiment of the present invention can also be applied to the flow of FIG. 9 described above.
  • the processor 110 analyzes the brush image 1010 to obtain a plurality of feature points 1011 of the brush image 1010, and obtains the slider.
  • the processor 110 displays the completed area 1111 of the reference image 1110 on the user interface according to the coordinate parameters (X1, Y1) and the area of the brush image 1010 (ie, the area of the sensing surface of the fingerprint sensor 120). 1100.
  • the processor 110 generates pre-registration data according to the feature points of the brush image 1010.
  • the processor 110 acquires and analyzes the next slider image 1020 and acquires a plurality of feature points 1011 of the brush image 1020.
  • the processor 110 compares the feature points of the brush images 1010 and 1020 to find feature points included in the brush images 1010 and 1020 to obtain the relative positional relationship between the brush images 1010 and 1020.
  • the coordinate parameter (X2, Y2) of the feature point located at the uppermost left corner position of the brush image 1020 is obtained.
  • the processor 110 increases the display range of the completed area 1111 of the reference image 1110 according to the coordinate parameters (X2, Y2) and the area of the wiper image 1020.
  • processor 110 will incorporate feature points of brush image 1020 into pre-registration data to produce merged pre-registration data.
  • the processor 110 obtains the coordinate parameters of the feature points located at the uppermost left corner of the brush image for determining the range and position to be added to the completed region 1111 of the reference image 1110 of the user interface 1100. It should be noted that the processor 110 determines whether to end the fingerprint registration by determining whether the total area of the pre-registration data is greater than a preset threshold. If the total area of the pre-registration data is not greater than the preset threshold, the processor 110 senses and obtains the next slider image. As shown in FIG. 10 and FIG. 11E to FIG.
  • the processor 110 can calculate the brush image 1030 and the previously obtained brush image. The relative positional relationship between them, and the coordinate parameters (Xn, Yn) are obtained accordingly. In other words, the processor 110 is based on the relative positional relationship between the brush image 1030 and the previously obtained brush image, and the corresponding display completion area 1111 is in the reference image 1110. Moreover, the processor 110 determines whether the total area of the new pre-registration data is greater than a preset threshold to determine whether to end the fingerprint registration.
  • the user interface 1100 still stays in the previous completion area 1111 of this reference image 1110, and prompts the user to ask the user to swipe the finger again.
  • the user's finger F is again placed on the fingerprint sensor 120 of the electronic device 100 and the brushing action is performed.
  • the range of the completion area 1111 of the reference image 1110 continues to increase in response to the user's swipe action.
  • the processor 110 determines that sufficient fingerprint data has been obtained, and the range of the completed area 1111 of the reference image 1110 is also increased to a sufficient area, covering enough Reference image 1110 of the range. Therefore, the processor 110 stops the fingerprint sensing operation of the fingerprint sensor 120, and generates fingerprint registration data based on the pre-registration data to complete the fingerprint registration process.
  • the display method of the user interface and the electronic device of the present invention can collect a plurality of brush images obtained by the user's finger on the fingerprint sensor by one or more sliding actions, and combine the sliders.
  • the feature point data of the image is used to generate fingerprint registration data.
  • the electronic device of the present invention further analyzes the repeatability and positional relationship between the feature points of the brush images to obtain corresponding image parameters and/or coordinate parameters. Therefore, the display method of the user interface and the electronic device of the present invention can correspondingly display a user interface having a reference image and its completion area on the display according to image parameters and/or coordinate parameters to dynamically adjust the reference image in the user interface. The scope of the completed area.
  • the user in the process of swiping the finger for fingerprint registration, the user can know the progress of the fingerprint registration by the range change of the completion area of the reference image in the user interface displayed on the display of the electronic device.
  • the display method and the electronic device of the user interface of the present invention can provide real-time fingerprint registration progress information to the user, thereby providing more humanized and convenient. Fingerprint registration procedure.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Evolutionary Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Collating Specific Patterns (AREA)
  • Image Input (AREA)
  • User Interface Of Digital Computer (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Position Input By Displaying (AREA)

Abstract

La présente invention concerne un procédé d'affichage d'interface utilisateur et un dispositif électronique. Le procédé d'affichage d'interface utilisateur est applicable à l'enregistrement d'empreintes digitales. Ledit procédé d'affichage comprend les étapes suivantes : détecter un objet au moyen d'un capteur d'empreinte digitale, de façon à obtenir une image de glissement de l'objet ; analyser l'image de glissement, de façon à obtenir une pluralité de points caractéristiques de l'image de glissement ; générer un ensemble de données pré-enregistrées selon l'image de glissement ; analyser l'ensemble de données pré-enregistrées, de façon à obtenir un paramètre de réglage d'image ; et afficher l'interface utilisateur, et ajuster, en fonction du paramètre de réglage d'image, la plage de la région de complétion d'une image de référence dans l'interface utilisateur. Par conséquent, le procédé d'affichage d'interface utilisateur et le dispositif électronique de la présente invention permettent d'informer, dans le processus d'enregistrement d'empreintes digitales par balayage, un utilisateur de l'avancement d'enregistrement d'empreintes digitales correspondant au moyen d'un affichage du dispositif électronique.
PCT/CN2018/110264 2017-10-16 2018-10-15 Procédé d'affichage d'interface utilisateur et dispositif électronique WO2019076272A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
GB1914055.7A GB2574973B (en) 2017-10-16 2018-10-15 User interface display method and electronic device
JP2019551393A JP6836662B2 (ja) 2017-10-16 2018-10-15 ユーザーインターフェースの表示方法及び電子デバイス

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US201762573140P 2017-10-16 2017-10-16
US62/573,140 2017-10-16
US201762598480P 2017-12-14 2017-12-14
US62/598,480 2017-12-14
CN201810349409.2A CN109669651B (zh) 2017-10-16 2018-04-18 用户接口的显示方法以及电子装置
CN201810349409.2 2018-04-18

Publications (1)

Publication Number Publication Date
WO2019076272A1 true WO2019076272A1 (fr) 2019-04-25

Family

ID=66141976

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/110264 WO2019076272A1 (fr) 2017-10-16 2018-10-15 Procédé d'affichage d'interface utilisateur et dispositif électronique

Country Status (4)

Country Link
JP (1) JP6836662B2 (fr)
CN (1) CN109669651B (fr)
GB (2) GB2599288B (fr)
WO (1) WO2019076272A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2581646B (en) * 2018-04-12 2021-12-29 Egis Tech Inc Fingerprint registration method and electronic device using the same

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030123715A1 (en) * 2000-07-28 2003-07-03 Kaoru Uchida Fingerprint identification method and apparatus
CN1668244A (zh) * 2002-09-17 2005-09-14 富士通株式会社 生物特征信息获取设备和使用生物特征信息的认证设备
CN102446271A (zh) * 2010-10-08 2012-05-09 金佶科技股份有限公司 分段式的图像辨识方法及其区域式辨识装置
CN103198289A (zh) * 2012-01-04 2013-07-10 金佶科技股份有限公司 双镜头指纹辨识方法与其装置
CN105373786A (zh) * 2015-11-30 2016-03-02 东莞酷派软件技术有限公司 一种指纹采集方法、装置及电子设备
CN105981046A (zh) * 2014-11-07 2016-09-28 指纹卡有限公司 使用拼接和裁剪的指纹认证
CN106056037A (zh) * 2015-04-15 2016-10-26 三星电子株式会社 用于识别指纹的方法和设备
CN107004131A (zh) * 2017-03-09 2017-08-01 深圳市汇顶科技股份有限公司 指纹识别的方法及装置

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3663075B2 (ja) * 1999-04-05 2005-06-22 シャープ株式会社 情報処理装置
CN1924889A (zh) * 2005-08-30 2007-03-07 知网生物识别科技股份有限公司 指纹注册的装置及方法
KR101419784B1 (ko) * 2013-06-19 2014-07-21 크루셜텍 (주) 지문 인식 및 인증을 위한 방법 및 장치
US9898642B2 (en) * 2013-09-09 2018-02-20 Apple Inc. Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs
KR102126568B1 (ko) * 2013-10-31 2020-06-24 삼성전자주식회사 입력 데이터 처리 방법 및 그 전자 장치
KR102217858B1 (ko) * 2013-11-13 2021-02-19 삼성전자주식회사 지문 인증 방법과 이를 수행하는 지문 인증 장치 및 이동 단말기
CN105989349B (zh) * 2014-10-24 2019-11-01 神盾股份有限公司 指纹的注册数据产生方法和电子装置
KR102396514B1 (ko) * 2015-04-29 2022-05-11 삼성전자주식회사 지문 정보 처리 방법 및 이를 지원하는 전자 장치
KR101639986B1 (ko) * 2015-10-07 2016-07-15 크루셜텍 (주) 지문 등록 및 인증 속도 향상을 위한 지문 정보 프로세싱 방법 및 그 장치
WO2017156752A1 (fr) * 2016-03-17 2017-09-21 深圳信炜科技有限公司 Procédé d'enregistrement d'empreinte digitale, système d'identification d'empreinte digitale et équipement électronique associé

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030123715A1 (en) * 2000-07-28 2003-07-03 Kaoru Uchida Fingerprint identification method and apparatus
CN1668244A (zh) * 2002-09-17 2005-09-14 富士通株式会社 生物特征信息获取设备和使用生物特征信息的认证设备
CN102446271A (zh) * 2010-10-08 2012-05-09 金佶科技股份有限公司 分段式的图像辨识方法及其区域式辨识装置
CN103198289A (zh) * 2012-01-04 2013-07-10 金佶科技股份有限公司 双镜头指纹辨识方法与其装置
CN105981046A (zh) * 2014-11-07 2016-09-28 指纹卡有限公司 使用拼接和裁剪的指纹认证
CN106056037A (zh) * 2015-04-15 2016-10-26 三星电子株式会社 用于识别指纹的方法和设备
CN105373786A (zh) * 2015-11-30 2016-03-02 东莞酷派软件技术有限公司 一种指纹采集方法、装置及电子设备
CN107004131A (zh) * 2017-03-09 2017-08-01 深圳市汇顶科技股份有限公司 指纹识别的方法及装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2581646B (en) * 2018-04-12 2021-12-29 Egis Tech Inc Fingerprint registration method and electronic device using the same

Also Published As

Publication number Publication date
JP2020515955A (ja) 2020-05-28
GB202117618D0 (en) 2022-01-19
GB201914055D0 (en) 2019-11-13
GB2599288A (en) 2022-03-30
GB2574973A (en) 2019-12-25
GB2599288B (en) 2022-11-23
GB2574973B (en) 2022-04-13
JP6836662B2 (ja) 2021-03-03
CN109669651A (zh) 2019-04-23
CN109669651B (zh) 2021-02-02

Similar Documents

Publication Publication Date Title
US9514352B2 (en) Fingerprint enrollment using touch sensor data
US9646193B2 (en) Fingerprint authentication using touch sensor data
TWI530884B (zh) 具有小寬幅生物感測器之分段式導引功能的電子設備及其導引方法
US20050249386A1 (en) Pointing device having fingerprint image recognition function, fingerprint image recognition and pointing method, and method for providing portable terminal service using thereof
WO2018077104A1 (fr) Procédé d'acquisition d'empreinte digitale, dispositif d'acquisition d'empreinte digitale et support de stockage
WO2016206279A1 (fr) Dispositif d'affichage à commande tactile et procédé de commande tactile associé
US10466745B2 (en) Operational control method for flexible display device
TWI737061B (zh) 曲面屏成像比例的確定方法、儲存介質，及電子設備
TWI528271B (zh) 多邊形手勢偵測及互動方法、裝置及電腦程式產品
US20150227789A1 (en) Information processing apparatus, information processing method, and program
EP2530620B1 (fr) Dispositif de traitement d'informations biométriques, procédé de traitement d'informations biométriques et support lisible par ordinateur
US20140015950A1 (en) Touch detection apparatus, touch detection method and recording medium
US20170091521A1 (en) Secure visual feedback for fingerprint sensing
US10783802B2 (en) Lip gloss guide device and method thereof
WO2019076272A1 (fr) Procédé d'affichage d'interface utilisateur et dispositif électronique
US10713463B2 (en) Display method of user interface and electronic apparatus thereof
KR101542671B1 (ko) 공간 터치 방법 및 공간 터치 장치
TW201828157A (zh) 指紋驗證方法及其電子裝置
KR20190088679A (ko) 지문 입력의 압력 레벨에 기반하여 지문 처리 방식을 결정하는 전자 장치 및 방법
TWI674536B (zh) 指紋導航方法及電子裝置
JP5299632B2 (ja) 個人認証装置、プログラム及び記録媒体
TWI676937B (zh) 指紋註冊方法及其電子裝置
US10990787B2 (en) Enrolment of a fingerprint template
TWI566128B (zh) 虛擬觸控裝置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18867661

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2019551393

Country of ref document: JP

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 201914055

Country of ref document: GB

Kind code of ref document: A

Free format text: PCT FILING DATE = 20181015

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18867661

Country of ref document: EP

Kind code of ref document: A1