CN110378180B - Fingerprint registration method and electronic device using same - Google Patents
Fingerprint registration method and electronic device using same Download PDFInfo
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- CN110378180B CN110378180B CN201910011735.7A CN201910011735A CN110378180B CN 110378180 B CN110378180 B CN 110378180B CN 201910011735 A CN201910011735 A CN 201910011735A CN 110378180 B CN110378180 B CN 110378180B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- 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
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Abstract
The invention provides a fingerprint registration method and an electronic device using the same. The fingerprint registration method comprises the following steps: sequentially acquiring a plurality of swipe frames of the finger object through a fingerprint sensor; sequentially analyzing the plurality of swipe frames by a processor to obtain a plurality of feature points of the plurality of swipe frames; sequentially merging, by a processor, the plurality of feature points of the plurality of swipe frames into pre-registration data; updating, by the processor, a completion area displayed in a user interface in sequence according to a plurality of relative positional relationships of the plurality of feature points of the plurality of swipe frames; and judging whether the pre-registration data meets default completion conditions or not through the processor so as to determine whether to finish fingerprint registration or not. Therefore, the fingerprint registration method and the electronic device can provide real-time fingerprint registration progress information and can generate effective fingerprint registration data.
Description
Technical Field
The present invention relates to a fingerprint analysis technology, and more particularly, to a fingerprint registration method and an electronic device using the same.
Background
In recent years, fingerprint identification technology is widely applied to various electronic devices to provide various identity registration or identity verification functions. However, a general fingerprint recognition technology registers a fingerprint in a one-time press or a multi-press manner by a user pressing a finger on a fingerprint sensor, and provides a corresponding user interface to inform the user of the progress of fingerprint registration. For example, if a fingerprint is registered by pressing it multiple times, each time the user presses it, the corresponding fingerprint image displayed on the user interface is increased until the entire or sufficiently large range of fingerprints is displayed, which indicates that the fingerprint registration is completed.
However, if the user registers the fingerprint by swiping the finger, the conventional related art fingerprint identification technology usually requires the user to swipe the finger from top to bottom, or swipe the finger along the same direction. That is, in one swiping motion, the user swipes the finger along the same direction, and the corresponding fingerprint images displayed on the user interface are increased along the same direction to inform the user of the progress of fingerprint registration.
Disclosure of Invention
The invention provides a fingerprint registration method and an electronic device using the same, wherein when a user performs fingerprint registration through a swipe finger, the user can slide in any direction in a swipe action.
The fingerprint registration method is suitable for the electronic device. The electronic device includes a processor, a fingerprint sensor, and a display. The fingerprint identification method comprises the following steps: sequentially acquiring a plurality of swipe frames of a finger object by the fingerprint sensor; sequentially analyzing the plurality of swipe frames by the processor to obtain a plurality of feature points of the plurality of swipe frames; sequentially merging, by the processor, the plurality of feature points of the plurality of swipe frames into pre-registration data; updating, by the processor, a completion area displayed in a user interface of the display in sequence according to a plurality of relative positional relationships of the plurality of feature points of the plurality of swipe frames; and judging whether the pre-registration data meets a default completion condition through the processor so as to determine whether to finish fingerprint registration.
The electronic device comprises a fingerprint sensor, a processor and a display. The fingerprint sensor is used for sequentially obtaining a plurality of swiping frames of the finger object. The processor is coupled to the fingerprint sensor. The processor is used for sequentially analyzing the plurality of sliding frames to obtain a plurality of characteristic points of the plurality of sliding frames. The display is coupled to the processor. The processor sequentially merges the feature points of the swipe frames into pre-registration data. The processor updates a finishing area displayed in a user interface of the display according to a plurality of relative position relations of the plurality of feature points of the plurality of swipe frames in sequence. The processor judges whether the pre-registration data meets a default completion condition so as to determine whether to finish fingerprint registration.
Based on the above, the fingerprint registration method and the electronic device using the fingerprint registration method of the present invention may generate pre-registration data and display a completion area in the user interface through a plurality of feature points of a plurality of swipe frames, and may display a gradually expanding completion area in the user interface according to a swipe motion of a finger object on the fingerprint sensor. Therefore, the fingerprint registration method and the electronic device using the same of the present invention can provide real-time fingerprint registration progress information and generate effective fingerprint registration data.
In order to make the aforementioned and other features and advantages of the invention more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a schematic diagram of a fingerprint registration apparatus according to an embodiment of the present invention.
Fig. 2 is a flowchart of a fingerprint registration method according to an embodiment of the present invention.
FIG. 3 is a diagram illustrating a correction of a swipe frame according to an embodiment of the invention.
Fig. 4A and 4B are flowcharts of correcting the swipe frame according to the embodiment of fig. 3.
Fig. 5 is a schematic diagram of a gaussian curve according to the embodiment of fig. 3.
FIG. 6 is a schematic diagram of updating a completion area displayed in a user interface in accordance with an embodiment of the present invention.
Fig. 7A, 7B and 7C are flowcharts of a fingerprint registration method according to a first embodiment of the present invention.
FIG. 8 is a schematic diagram of updating a completion area displayed in a user interface in accordance with another embodiment of the present invention.
Fig. 9A, 9B and 9C are flowcharts of a fingerprint registration method according to a second embodiment of the present invention.
Fig. 10A, 10B and 10C are flowcharts of a fingerprint registration method according to a third embodiment of the present invention.
Detailed Description
In order that the present invention may be more readily understood, the following detailed description is provided as an illustration of specific embodiments of the invention. Further, wherever possible, the same reference numbers will be used throughout the drawings and the description to refer to the same or like parts.
Fig. 1 is a schematic diagram of an electronic device 100 according to an embodiment of the invention. Referring to fig. 1, the electronic device 100 includes a fingerprint sensor 110, a processor 120, a memory 130, and a display 140. Fig. 1 shows a simplified block diagram of only the components relevant to the present invention. However, the present invention should not be limited to what is shown in FIG. 1. Further, in the present embodiment, the fingerprint sensor 110 has n × m square millimeters (mm) 2 ) The sensing area of (a). For example, the sensing area of the fingerprint sensor 110 may be 10mm × 4mm, 6mm × 6mm, or 4mm × 3.2mm.
In the present embodiment, when the electronic device 100 performs fingerprint enrollment, the user is required to swipe his finger on the fingerprint sensor 110. The user places a finger on the fingerprint sensor 110 and slides it in any direction. When the user's finger swipes across the fingerprint sensor 110, the fingerprint sensor 110 will take a number of swipe frames one by one. Specifically, the electronic device 100 can display a user interface with a fingerprint reference image on the display 140. When the finger of the user swipes on the fingerprint sensor 110 for fingerprint registration, the fingerprint sensor 110 obtains a first swipe frame, and the processor 120 then analyzes the first swipe frame to obtain a plurality of feature points (feature points) of the first swipe frame. The processor 120 displays the completed area in the fingerprint reference image according to the feature points of the first swipe frame. The fingerprint sensor 110 then continues to acquire a second swipe frame, and the processor 120 then analyzes the second swipe frame to acquire a plurality of feature points of the second swipe frame. The processor 120 increases the range of the completion area in the fingerprint reference image according to the feature points of the second swipe frame. By analogy, the fingerprint sensor 110 can continuously obtain a plurality of swipe frames in sequence and analyze one by one. That is, the electronic device 100 can display the user interface with the fingerprint reference image on the display 140, and the range of the completion area displayed in the fingerprint reference image will correspondingly expand with the increase of the swipe frame and the feature points.
Fig. 2 is a flowchart of a fingerprint registration method according to an embodiment of the present invention. In the present embodiment, when the electronic device 100 performs fingerprint registration, the user is required to place a finger on the fingerprint sensor 110 for a swipe action. That is, the user's finger may be placed on the fingerprint sensor 110 and slid in any direction. Referring to fig. 1 and 2, in step S210, the fingerprint sensor 110 acquires a swipe frame of a finger. In step S220, the processor 120 analyzes the swipe frame to obtain a plurality of feature points. In step S230, the processor 120 will generate pre-registration data according to the feature points. In step S240, the processor 120 updates the completion area displayed in the user interface according to the plurality of feature points. In step S250. The processor 120 determines whether the pre-registration data satisfies a default completion condition. If so, the processor 120 treats the pre-enrollment data as fingerprint enrollment data and ends the fingerprint enrollment. If not, the processor 120 will continue to execute step S210 to continue retrieving the swipe frame through the fingerprint sensor 120.
In other words, the fingerprint registration method of the present embodiment may correspondingly update the range of the completion area in the user interface according to the newly added fingerprint feature points to provide real-time fingerprint registration progress information, and determine whether to end the fingerprint registration according to whether the pre-registration data satisfies the default completion condition. It should be noted that the preset completing condition is that when the processing unit 120 determines that the number, data amount, coverage area, width or height of the feature points in the pre-registration data is greater than the preset registration threshold, the processing unit 120 ends the fingerprint registration, and uses the pre-registration data as the fingerprint registration data, or generates the fingerprint registration data according to the pre-registration data, and stores the fingerprint registration data in the memory 130.
In addition, according to the step S220 in fig. 2, the processor 120 may analyze the swipe frame to obtain a plurality of feature points. However, in some embodiments, the processor 120 may perform distortion (distortion) correction on the swipe frame before retrieving the plurality of feature points, and then retrieve the plurality of feature points from the corrected swipe frame. In this regard, the embodiments of fig. 3, 4A and 4B will be described below.
FIG. 3 is a diagram illustrating correction of a swipe frame according to an embodiment of the invention. Refer to fig. 1 and 3. When the electronic device 100 performs fingerprint enrollment, the user is required to swipe his finger over the fingerprint sensor 110. Specifically, first, the fingerprint sensor 110 takes a first swipe frame 310_1, and the processor 120 analyzes the swipe frame 310_1 to take a plurality of feature points of the swipe frame 310_1. Next, the fingerprint sensor 110 takes a second swipe frame 310_2, and the processor 120 analyzes the swipe frame 310_2 to take a plurality of feature points of the swipe frame 310_2. In the present embodiment, the processor 120 may compare the positions of the same feature points in the swipe frame 310 u 1 and the swipe frame 310 u 2 to obtain the displacement amount and the displacement direction of the same feature points in the swipe frames 310 u 1 and 310 u 2, so as to generate a motion vector (motion vector) V1 for correcting the swipe frame 310 u 1. If there are a plurality of feature points in the swipe frame 310 _1and 310 _2that are the same, that is, a plurality of feature points repeatedly appear in the swipe frame 310 _1and 310_2, the processor 120 averages the displacement amounts and displacement directions of the same feature points to obtain the motion vector V1. Alternatively, the processor 120 may use, as the motion vector V1, the displacement amount and the displacement direction of the feature point which repeatedly appears and has the highest similarity in the swipe frame 310 _1and 310_2.
In the present embodiment, when the processor 120 generates the motion vector V1 for correcting the swipe frame 310_1, the processor 120 segments the swipe frame 310_1 along the direction of the motion vector V1 to generate a segmented swipe frame 320_1 having a plurality of sub-segmented frames. The processor 120 may align (align) a plurality of sub-divided frames of the divided (align) swipe frame 320_1 according to a preset gaussian curve C1 to generate an aligned swipe frame 330_1, and output the aligned swipe frame 330_1 as a corrected swipe frame 340_1. As shown, a plurality of sub-divided frames of the divided swipe frame 320_1 are aligned in the opposite direction of the motion vector V1 according to the gaussian curve C1. Next, the processor 120 analyzes the corrected swipe frame 340_1 to obtain a plurality of feature points of the corrected swipe frame 340_1. In other words, the processor 120 of the present embodiment may perform distortion correction on the swipe frame to remove or reduce the distortion caused by the swipe before retrieving the plurality of feature points of the swipe frame to generate the pre-registration data. Thereafter, the processor 120 updates (or expands) the completion area displayed in the user interface according to the plurality of feature points.
The fingerprint sensor 110 may then proceed to retrieve a third swipe frame 310_3, and the processor 120 may analyze the swipe frame 310_3 to retrieve a plurality of feature points of the swipe frame 310_3. In the present embodiment, the processor 120 may compare the positions of the same feature points in the swipe frame 310 _2and the swipe frame 310 _3to obtain the displacement amount and the displacement direction of the same feature points in the swipe frames 310 _2and 310_3, so as to generate the motion vector V2 for correcting the swipe frame 310_2. The processor 120 may segment the swipe frame 310 u 2 along the direction of the motion vector V2 to generate a segmented swipe frame 320 u 2, which has a plurality of sub-segmented frames. The processor 120 may align a plurality of sub-divided frames of the divided swipe frame 320_2 according to the predetermined gaussian curve C2 to generate an aligned swipe frame 330_2, and output the aligned swipe frame 330_2 as a corrected swipe frame 340_2. As shown, a plurality of sub-divided frames of the divided swipe frame 320_2 are aligned along the gaussian curve C2 in the opposite direction of the motion vector V2. Next, the processor 120 analyzes the corrected swipe frame 340\u2 to obtain a plurality of feature points of the corrected swipe frame 340_2. By analogy, the processor 120 may obtain the plurality of swipe frames 310 _1to 310 _Pone by one along with the swiping process of the finger of the user on the fingerprint sensor 110, and may align the plurality of sub-divided frames of the swipe frames 310 _1to 310 _Pin opposite directions according to the motion vectors and the gaussian curves corresponding to the swipe frames 310 _1to 310_P, respectively.
Fig. 4A and 4B are flowcharts of correcting the swipe frame according to the embodiment of fig. 3. Referring to fig. 1, fig. 3, fig. 4A and fig. 4B, in the present embodiment, the processor 120 of the electronic device 100 corrects a plurality of swipe frames 310 _1to 310 _psequentially acquired by the fingerprint sensor 110 one by one, where P is a positive integer greater than 0. In this embodiment, the processor 120 can sequentially execute the following steps S420-S450. In step S420, the processor 120 acquires the swipe frame 310_1 via the fingerprint sensor 110, as explained below starting with the acquisition of the first swipe frame. In step S422, the processor 120 analyzes the swipe frame 310_1 to obtain a plurality of feature points of the swipe frame 310 _u1. In step S424, the processor 120 determines that the swipe frame 310_1 is the first swipe frame, and therefore the processor 120 re-executes step S420. In step S420, the processor 120 acquires the swipe frame 310_2 through the fingerprint sensor 110. In step S422, the processor 120 analyzes the swipe frame 310_2 to obtain a plurality of feature points of the swipe frame 310_2. In step S424, the processor 120 determines that the swipe frame 310_2 is not the first swipe frame, and therefore the processor 120 performs step S425.
In step S425, the processor 120 compares a plurality of feature points of the swipe frame 310 _2with the previous swipe frame 310 _1to calculate a motion vector V1 for correcting the previous swipe frame 310_1. In step S426, the processor 120 segments the previous swipe frame 310_1 along the direction of the motion vector V1 to generate a segmented previous swipe frame 320_1. In step S427, the processor 120 aligns the segmented previous swipe frame 320_1 according to the gaussian curve C1 to output the aligned previous swipe frame 330_1 as the corrected previous swipe frame 340_1. In step S428, the processor 120 analyzes the corrected previous swipe frame 340_1 to obtain a plurality of corrected feature points.
In step S430, the processor 120 generates a fingerprint data set according to the plurality of corrected feature points. In step S432, the processor 120 determines whether the previous swipe frame 310_1 is the first swipe frame, and if so, the processor 120 executes step S434. In step S434, the processor 120 generates pre-registration data according to the fingerprint data set, and then executes step S440. After the swipe frame 310_3 is acquired, in step S432, the processor 120 determines whether the previous swipe frame 310 _2is the first swipe frame, and if not, the processor 120 executes step S436. In step S436, the processor 120 incorporates the fingerprint data set corresponding to the previous swipe frame 310_2 into the pre-registration data, and then performs step S440.
In step S440, the processor 120 updates the completion area displayed in the user interface according to the plurality of corrected feature points. In step S450, the processor 120 determines whether the pre-registration data satisfies a default completion condition. If so, the processor 120 ends the fingerprint sensing. If not, the processor 120 re-executes step S420 to continue to acquire the next swipe frame 310_3. By analogy, the processor 120 sequentially obtains the swipe frames 310 _1-310 _P, and may perform distortion correction on the swipe frames 310 _1-310 _Pbefore retrieving the feature points of the swipe frames 310 _1-310 _Pto remove or reduce the distortion caused by the swipe.
Regarding the gaussian curves C1 to CP of fig. 3, in the present embodiment, the gaussian curves C1 to CP may be the same or different curves. For example, referring to fig. 5, fig. 5 is a schematic diagram of a gaussian curve according to the embodiment of fig. 3. In the present embodiment, the gaussian curves C1 to CP described above may be curves C as shown in fig. 5.μ is the expected value and σ is the standard deviation. In this embodiment, the curve C may be predetermined according to related experience, experiment and/or statistics in the field of fingerprint identification technology. Alternatively, in one embodiment, the curve C may be determined based on the amount of pressure applied by the user's finger on the fingerprint sensor 110 during the swiping process when the user places the finger on the fingerprint sensor 110. In other words, if the user's finger exerts a greater pressure on the fingerprint sensor 110, the distortion of the swipe frame is greater, and thus the fluctuation of the curve C is greater. Conversely, if the user's finger exerts less pressure on the fingerprint sensor 110, the distortion of the swipe frame is less severe, and the curve C undulates more smoothly.
FIG. 6 is a schematic diagram of updating a completion area displayed in a user interface in accordance with an embodiment of the present invention. Referring to fig. 1 and 6, the user interface UI includes a fingerprint reference image RF so that a finishing area 650 displayed on the user interface UI may present a fingerprint registration progress in cooperation with the fingerprint reference image RF. Specifically, in the present embodiment, when the electronic device 100 performs fingerprint registration, the user is required to swipe his finger over the fingerprint sensor 110. First, when the user's finger is pressed against the fingerprint sensor 110, the fingerprint sensor 110 takes a first swipe frame 610_1, and the processor 120 analyzes the first swipe frame 610_1 to take a plurality of feature points of the first swipe frame 610_1. Next, the fingerprint sensor 110 takes a second swipe frame 610_2, and the processor 120 analyzes the second swipe frame 610_2 to take a plurality of feature points of the second swipe frame 610_2. The swipe frame can be corrected using the correct swipe frame manner as described in the embodiment of fig. 3. In this embodiment, the processor 120 first performs distortion correction on the swipe frame 610_1. The processor 120 compares the positions of the same feature points in the first and second swipe frames 610_, 2 to obtain the displacement amounts and displacement directions of the same feature points in the first and second swipe frames 610_, 2 to generate a motion vector for correcting the first swipe frame 610_, 1. The processor 120 corrects the first swipe frame 610_1 according to the motion vector and a predetermined gaussian curve to generate a corrected first swipe frame.
In this embodiment, the processor 120 analyzes the corrected first swipe frame to obtain a first fingerprint data set 630_1 having the corrected plurality of feature points 601_1, 601_2. In the embodiment, the processor 120 generates the pre-registration data 640 according to the fingerprint data set 630_1, and the processor 120 displays the expanded block EB1 corresponding to the feature point 601_1 as the completion area 650 at a predetermined position of the user interface, for example, a center position of the user interface. Next, the processor 120 determines the relative position relationship between the feature point 601_1 and the feature point 601_2, and displays an expanded block EB2 corresponding to the feature point 601_2 on the user interface UI according to the relative position relationship, so as to update the range of the completed region 650.
Next, the fingerprint sensor 110 takes a third swipe frame 610_3 and performs distortion correction as described above for the second swipe frame 610_2. In this embodiment, since the first and second swipe frames 610_1 and 610 _u2 have the same feature point 601 _u2, the processor 120 can obtain the relative position between the first and second swipe frames 610 _u1 and 610 _u2 through the feature point 601 _u2. The processor 120 generates a second fingerprint data set 630_2 based on these feature points 601_2, 601_3, 601_4. The processor 120 merges the second set of fingerprint data 630_2 into the pre-registration data 640. Moreover, since the feature point 601 _u2 of the second swipe frame 610 _u2 is the same feature point as the feature point 601 _u2 of the first swipe frame 610 _u1 (i.e., the feature point 601 _u2 repeatedly appears in the first and second swipe frames 610 _1and 610), the processor 120 does not repeatedly display the expanded block EB2 corresponding to the feature point 601 _u2. The processor 120 may determine the relative position relationship between the feature point 601_2 and the feature point 601_3, and display the expanded block EB3 corresponding to the feature point 601_3 on the user interface UI to continue expanding the range of the completed region 650. The processor 120 then displays the expanded block EB4 corresponding to the feature point 601 _u4 on the user interface UI to update the range of the completion area 650.
By analogy, the processor 120 may acquire a plurality of swipe frames 610 _1to 610 _pone by one along with the swiping of the finger of the user on the fingerprint sensor 110, and correct the swipe frames 610 _1to 610 _pone by one to generate a plurality of corrected swipe frames. The electronic device 100 can sequentially display a plurality of expansion blocks EB1 to EBM corresponding to a plurality of feature points 601 _1to 601 _mincluded in the swipe frames 610 _u1 to 610 _pon the user interface UI to increase the range of the completion area 650, wherein M is a positive integer greater than 0. In other words, during the swiping motion of the finger of the user on the fingerprint sensor 110, the electronic device 100 may update the range of the completion area displayed on the user interface of the display 140 in real time according to the feature points of the swipe frames 610 _1to 610 _psensed by the fingerprint sensor 110, so that the user can know the current fingerprint registration progress information in real time. In the present embodiment, the processor 120 of the electronic device 100 may retrieve a plurality of feature points 601 _1to 601 _Mfrom a plurality of swipe frames 610 _1to 610 _Pacquired by the fingerprint sensor 110, respectively, and generate a plurality of fingerprint data sets 630 _1to 630 _Ptherefrom. The processor 120 may merge these fingerprint data sets 630 _1-630 _Pinto pre-registration data 640 (which is shown in FIG. 6 as being a combination of multiple frame/fingerprint data sets represented by dashed lines). After the fingerprint registration procedure is completed, the processor 120 may use the pre-registration data 640 as fingerprint registration data and store the fingerprint registration data in the memory 130 for subsequent fingerprint identification.
In addition, it should be noted that, since one feature point of the embodiment corresponds to one pixel, the expansion blocks EB1 to EBM may respectively expand the range of, for example, four, six, nine, twelve or sixteen grids by taking the feature point as the center and taking the pixel as the unit, but the invention is not limited thereto. In an embodiment, the size and shape of the expansion blocks EB1 to EBM may be adjusted and preset according to the display requirements of different user interfaces.
Fig. 7A, 7B and 7C are flowcharts of a fingerprint registration method according to a first embodiment of the present invention. Referring to fig. 1, 6, 7A, 7B and 7C, the electronic device 100 may perform the following steps S720 to S750 to implement the operation of updating the completion area displayed in the user interface according to the embodiment of fig. 6. The following description starts with the acquisition of the first swipe frame. In step S720, the fingerprint sensor 110 acquires the swipe frame 610_1. In step S722, the processor 120 analyzes the swipe frame 610_1 to obtain a plurality of feature points of the swipe frame 610_1. In step S724, the processor 120 determines that the swipe frame 610_1 is the first swipe frame, and thus re-executes step S720. In step S720, the processor 120 acquires the swipe frame 610_2. In step S722, the processor 120 analyzes the swipe frame 610_2 to obtain a plurality of feature points of the swipe frame 610_2. In step S724, the processor 120 determines that the swipe frame 610_2 is not the first swipe frame, and thus performs step S725. In step S725, the processor 120 compares a plurality of feature points of the swipe frame 610 _2with the previous swipe frame 610 _1to calculate a motion vector for correcting the previous swipe frame 610_1. In step S726, the processor 120 segments the previous swipe frame 610_1 along the direction of the motion vector to generate a segmented previous swipe frame. In step S727, the processor 120 aligns the segmented previous swipe frame according to the gaussian curve to output the aligned previous swipe frame as a corrected previous swipe frame. In step S728, the processor 120 analyzes the corrected previous swipe frame to obtain a plurality of corrected feature points 601_1, 601_2.
In step S730, the processor 120 generates a fingerprint data set according to the corrected feature points 601_1, 601_2. In step S732, the processor 120 determines whether the previous swipe frame 610_1 is the first swipe frame, and if so, the processor 120 executes step S733. In step S733, the processor 120 determines whether the user has swiped the finger on the fingerprint sensor 110 for the first time, and if so, the processor 120 executes step S734. In step S734, the processor 120 generates pre-registration data according to the fingerprint data set, and then executes step S740. In step S740, the processor 120 displays the expanded block EB1 corresponding to the corrected feature point 601_1 at the center of the user interface UI, and displays the expanded block EB2 corresponding to the corrected feature point 601_2 according to the positional relationship between the corrected feature point 601_1 and the corrected feature point 601_2, so as to expand the range of the completion area 650 on the user interface UI. Next, the processor 120 executes step S750.
In step S750, the processor 120 determines whether the pre-registration data 640 satisfies a default completion condition. If so, the processor 120 ends the fingerprint sensing and ends the fingerprint registration process. If not, the processor 120 re-executes step S720 to continue the fingerprint sensing. In step S720, the processor 120 acquires the swipe frame 610_3, and the processor 120 executes steps S722 to S730. In step S732, the processor 120 determines whether the previous swipe frame 610_2 is the first swipe frame, and if not, the processor 120 executes step S741. In step S741, the processor 120 incorporates the fingerprint data set corresponding to the previous swipe frame 610_2 into the pre-registration data 640, and then performs step S742. In step S742, the processor 120 determines the display positions of the expanded blocks EB3 and EB4 corresponding to the new feature points 601_3 and 601_4 on the user interface UI according to the position relationship between the repeated feature points 601 _u2 and 601 _u4 of the previous slide-brush frame 610 _u2 and the previous slide-brush frame 610 _u1 and the new feature points 601 _u3 and 601 _u4, so as to expand the range of the completed area 650 on the user interface UI.
By analogy, the processor 120 sequentially obtains the swipe frames 610 _1to 610_P, and may perform distortion correction on the swipe frames 610 _1to 610 _Pbefore searching for the feature points of the swipe frames 610 _1to 610 _Pto remove or reduce the distortion caused by the swipe. Moreover, the electronic device 100 may sequentially obtain a plurality of swipe frames 610 _1to 610 _pthrough the fingerprint sensor 110 to establish fingerprint registration data, and correspondingly display a real-time registration progress on the user interface UI.
However, in the embodiment, if the user leaves the fingerprint sensor 110 during the fingerprint registration process (i.e. during the process of swiping the finger), since the fingerprint registration process is not completed (i.e. sufficient fingerprint data is not obtained), the electronic device 100 will generate and display a prompt message to request the user to swipe the finger on the fingerprint sensor 120 again, and the processor 120 will execute steps S720 to S732. Assume that when the user swipes the finger again, the first and second swipe frames sensed by the fingerprint sensor 120 are swipe frames 610 _Kand 610_K + 1, respectively, where K is a positive integer between 2 and P. After the swipe frame 610_K +1 is acquired, in step S733, the processor 120 determines whether the user swipes the finger on the fingerprint sensor 110 for the first time, and if not, the processor 120 executes step S735. In step S735, the processor 120 incorporates the fingerprint data set corresponding to the previous swipe frame 610 _kinto the pre-registration data 640. In step S736, the processor 120 compares the plurality of corrected feature points of the previous swipe frame 610 _kwith the pre-registration data 640 to find feature points repeatedly appearing in the previous swipe frame 610 _kand the pre-registration data 640 (hereinafter, the repeated feature points are weighed), and feature points appearing only in the previous swipe frame 610_k (hereinafter, the newly added feature points). In step S737, the processor 120 determines, according to the relative position relationship between the newly added feature point and the repeated feature point, a display position of an expansion block corresponding to the newly added feature point on the user interface UI to expand the range of the completion area 650 on the user interface UI. Next, the processor 120 executes step S750.
FIG. 8 is a schematic diagram of updating a completion area displayed in a user interface in accordance with another embodiment of the present invention. Referring to fig. 1 and 8, the user interface UI includes a fingerprint reference image RF so that a finishing area 840 displayed on the user interface UI may present a fingerprint registration progress in cooperation with the fingerprint reference image RF. Specifically, in the present embodiment, when the electronic device 100 performs fingerprint registration, the user is required to swipe his finger over the fingerprint sensor 110. First, when a user's finger presses on the fingerprint sensor 110, the fingerprint sensor 110 takes a first swipe frame 810_1, and the processor 120 analyzes the first swipe frame 810_1 to take a plurality of feature points of the first swipe frame 810_1. Next, the fingerprint sensor 110 takes a second swipe frame 810_2, and the processor 120 analyzes the second swipe frame 810_2 to take a plurality of feature points of the second swipe frame 810_2.
The first swipe frame 810 u 1 may be corrected in accordance with the swipe frame correction described in the embodiment of fig. 3. In this embodiment, the processor 120 first performs distortion correction on the swipe frame 810_1. The processor 120 compares the positions of the same feature points in the first and second swipe frames 810 _1and 810 _2to obtain the displacement amounts and displacement directions of the same feature points in the first and second swipe frames 810 _1and 810_2, so as to generate a motion vector for correcting the first swipe frame 810_1. The processor 120 corrects the first swipe frame 810_1 according to the motion vector and a predetermined gaussian curve to generate a corrected first swipe frame. In this embodiment, the processor 120 analyzes the corrected first swipe frame to obtain a first fingerprint data set 830_1 with a plurality of corrected feature points 801_1, 801_2. In the present embodiment, the processor 120 generates pre-registration data (like the pre-registration data 640 of FIG. 6) according to the fingerprint data set 830_1.
In the present embodiment, the processor 120 generates a first expanded block EB1' according to the corrected first swipe frame. The processor 120 will display the first expanded block EB1' corresponding to the corrected first swipe frame at a default display position, e.g., a center position, in the user interface UI as the completion area 850. The area of the first expanded block EB1' may have a specific proportional relationship with the frame area of the corrected first swipe frame or the area of the sensing plane of the fingerprint sensor 110.
Next, the fingerprint sensor 110 takes a third swipe frame 810_3 and the processor 120 performs distortion correction as described above for the second swipe frame 810_2. The processor 120 analyzes the corrected second swipe frame to obtain the fingerprint data set 830_2 with the feature points 801_2, 801_3, and 801_4, and generates a second expanded block EB2' according to the corrected second swipe frame. In the embodiment, since the first and second swipe frames 810_1 and 810 _2have the same feature point 801_2, the processor 120 can determine the relative position relationship between the first and second swipe frames 810 _1and 810 _2based on the feature point 801 _2to determine the motion vector V1'. The processor 120 determines a relative position relationship between the first expanded block EB1 'and the second expanded block EB2' according to the motion vector V1 'to display a second expanded block EB2' corresponding to the second swipe frame 810_2 on the user interface UI to update the range of the completion area 840. In the present embodiment, the area of the second expanded block EB2 'is the same as the area of the first expanded block EB1'.
By analogy, the processor 120 may obtain a plurality of swipe frames 810 _1to 810 _pone by one along with the process of swiping the finger of the user on the fingerprint sensor 110, and correct the plurality of swipe frames 810 _1to 810 _pone by one to generate a plurality of corrected swipe frames. The electronic device 100 can calculate a plurality of corresponding motion vectors V1 'to V (P-1)' based on the feature points that repeatedly appear in the corrected swipe frames 820 _1to 820 _p. The electronic device 100 can sequentially display the expanded blocks EB1 'EBP corresponding to the swipe frames 810 _1-810 _P (wherein the areas of the expanded blocks EB1' EBP are the same) on the user interface UI according to the motion vectors V1 'V (P-1)' to update the range of the completed region 850.
However, in some embodiments, if two consecutive swipe frames have a plurality of identical feature points, the processor 120 averages the displacement amounts and displacement directions of the identical feature points to obtain the motion vector of the previous swipe frame. In other embodiments, the processor 120 may also use, as the motion vector of the previous swipe frame, the displacement amount and the displacement direction of the feature point which repeatedly appears and has the highest similarity in two consecutive swipe frames. In short, when the user's finger performs a swiping motion on the fingerprint sensor 110 to perform a fingerprint registration, the electronic device 100 dynamically updates the range of the completion area displayed on the user interface of the display 140 according to a plurality of swiping frames 810 _1to 810 _pacquired by the fingerprint sensor 110, so that the user can know the current fingerprint registration progress in real time.
Fig. 9A, 9B and 9C are flowcharts of a fingerprint registration method according to a second embodiment of the present invention. Referring to fig. 1, 8, 9A, 9B and 9C, the electronic device 100 may perform the following steps S920 to S950 to implement the operation of updating the completion area displayed on the user interface according to the embodiment of fig. 8. The following description will be made by taking the first swipe frame as an example. In step S920, the fingerprint sensor 110 acquires the swipe frame 810_1. In step S922, the processor 120 analyzes the swipe frame 810\u1 to obtain a plurality of feature points of the swipe frame 810_1. In step S924, the processor 120 determines that the swipe frame 810_1 is the first swipe frame, and therefore the processor 120 re-executes step S920. In step S920, the fingerprint sensor 110 acquires the swipe frame 810_2. In step S922, the processor 120 analyzes the swipe frame 810\u2 to obtain a plurality of feature points of the swipe frame 810_2. In step S924, the processor 120 determines that the swipe frame 810_2 is not the first swipe frame, and therefore the processor 120 performs step S925.
In step S925, the processor 120 compares a plurality of feature points of the swipe frame 810 _2with the previous swipe frame 810 _1to calculate a motion vector for correcting the previous swipe frame 810_1. In step S926, the processor 120 segments the previous swipe frame 810 u 1 along the direction of the motion vector to generate a segmented previous swipe frame. In step S927, the processor 120 aligns the segmented previous swipe frame according to the gaussian curve to output the aligned previous swipe frame as the corrected previous swipe frame. In step S928, the processor 120 analyzes the corrected previous swipe frame to obtain a plurality of corrected feature points 801_1, 801 _u2.
In step S930, the processor 120 generates a fingerprint data set 830_1 according to the corrected feature points 801 _1and 801_2. In step S932, the processor 120 determines whether the previous swipe frame 810_1 is the first swipe frame, and if so, the processor 120 executes step S933. In step S933, the processor 120 determines whether the user has slid the finger on the fingerprint sensor 110 for the first time, and if so, the processor 120 executes step S934. In step S934, the processor 120 generates pre-registration data from the fingerprint data set 830_1. In step S940, the processor 120 displays a first expanded block EB1' in the center of the user interface UI according to the corrected previous swipe frame 810_1. Next, the processor 120 executes step S950. In step S950, the processor 120 determines whether the pre-registration data satisfies a default completion condition. If so, the processor 120 ends the fingerprint sensing. If not, the processor 120 re-executes step S920 to continue fingerprint sensing.
After the swipe frame 810 u 3 is acquired, in step S932, the processor 120 determines whether the previous swipe frame 810 u 2 is the first swipe frame, and if not, the processor 120 executes step S941. In step S941, the processor 120 incorporates a fingerprint data set corresponding to the previous swipe frame 810_2 into the pre-registration data. In step S942, the processor 120 compares the corrected previous swipe frame 810_1 with the corrected previous swipe frame 810_2 to obtain a motion vector V1' between the corrected previous swipe frame 810_1 and the corrected previous swipe frame 810_2. In step S943, the processor 120 generates the expanded block EB2 'corresponding to the corrected previous swipe frame 810_2, and determines the position of the expanded block EB2' in the user interface UI according to the motion vector V1 'and displays the expanded block EB2', so as to expand the range of the completed area 850. Next, the processor 120 executes step S950.
In step S950, the processor 120 determines whether the pre-registration data satisfies a default completion condition. If so, the processor 120 ends the fingerprint sensing. If not, the processor 120 re-executes step S920 to continue fingerprint sensing. By analogy, the processor 120 sequentially obtains the swipe frames 810 _1-810 _P, and performs distortion correction on the swipe frames 810 _1-810 _Pbefore retrieving the feature points of the swipe frames 810 _1-810 _Pto remove or reduce the distortion caused by the swipe. Therefore, the electronic device 100 can sequentially obtain a plurality of swipe frames 810 _1to 810 _Pthrough the fingerprint sensor 110 to generate fingerprint registration data, and correspondingly display a real-time registration progress on the user interface UI.
However, in the present embodiment, if the user leaves the fingerprint sensor 110 during the fingerprint registration process (i.e. during the process of swiping the finger), and the fingerprint registration process is not completed (i.e. sufficient fingerprint data is not obtained), the electronic device 100 generates and displays a reminding message to ask the user to swipe the finger on the fingerprint sensor 120 again. The processor 120 executes steps S920 to S932. Assume that when the user swipes the finger again, the first and second swipe frames sensed by the fingerprint sensor 120 are swipe frames 810 _Kand 810_K + 1, where K is a positive integer between 2 and P. In step S932, the processor 120 determines that the previous swipe frame 810_k is the first swipe frame, and therefore the processor 120 performs step S933. In step S933, the processor 120 determines whether the user has slid the finger on the fingerprint sensor 110 for the first time, and if not, the processor 120 executes step S935. In step S935, the processor 120 incorporates the fingerprint data set corresponding to the previous swipe frame 810 uk into the pre-registration data. In step S936, the processor 120 compares the plurality of corrected feature points of the previous swipe frame 810 _kwith the pre-registration data to find out feature points (hereinafter, weighted complex feature points) that repeatedly appear in the previous swipe frame 810 _kand the pre-registration data, and feature points (hereinafter, added feature points) that only appear in the previous swipe frame 810 _k. In step S937, the processor 120 obtains a motion vector between the previous swipe frame 810 _kand the pre-registered data according to the relative position relationship between the newly added feature point and the repeated feature point, so as to determine a position of an expanded block corresponding to the previous swipe frame 810 _kin the user interface UI and display the expanded block, so as to expand the range of the completed region 850. Next, the processor 120 executes step S950.
Fig. 10A, 10B and 10C are flowcharts of a fingerprint registration method according to a third embodiment of the present invention. Referring to fig. 1, 8, 10A, 10B and 10C, the electronic device 100 may perform the following steps S1020 to S1050 to implement the operation of updating the completion area displayed on the user interface according to the embodiment of fig. 8. The following description will be made by taking the first swipe frame as an example. In step S1020, the fingerprint sensor 110 acquires the swipe frame 810_1. In step S1022, the processor 120 analyzes the swipe frame 810\u1 to obtain a plurality of feature points of the swipe frame 810_1. In step S1024, the processor 120 determines that the swipe frame 810_1 is the first swipe frame, so the processor 120 re-executes step S1020. In step S1020, the fingerprint sensor 110 acquires the swipe frame 810_2. In step S1022, the processor 120 analyzes the swipe frame 810\u2 to obtain a plurality of feature points of the swipe frame 810_2. In step S1024, the processor 120 determines that the swipe frame 810_2 is not the first swipe frame, so the processor 120 performs step S1025.
In step S1025, the processor 120 compares the plurality of feature points of the swipe frame 810 _2with the previous swipe frame 810 _1to calculate a motion vector for correcting the previous swipe frame 810_1. In step S1026, the processor 120 segments the previous swipe frame 810 u 1 along the direction of the motion vector to generate a segmented previous swipe frame. In step S1027, the processor 120 aligns the segmented previous swipe frame according to the gaussian curve to output the aligned previous swipe frame as the corrected previous swipe frame. In step S1028, the processor 120 analyzes the corrected previous swipe frame to obtain a plurality of corrected feature points 801_1 and 801 _u2.
In step S1030, the processor 120 generates a fingerprint data set 830_1 from the plurality of corrected feature points 801_1, 801_2. In step S1032, the processor 120 determines whether the previous swipe frame 810_1 is the first swipe frame, and if so, the processor 120 executes step S1033. In step S1033, the processor 120 determines whether the user has slid the finger on the fingerprint sensor 110 for the first time, and if so, the processor 120 executes step S1034. In step S1034, the processor 120 generates pre-registration data from the fingerprint data set 830_1. In step S1040, the processor 120 displays a first expanded block EB1' in the center of the user interface UI according to the corrected previous swipe frame. Next, the processor 120 executes step S1050. In step S1050, the processor 120 determines whether the pre-registration data satisfies a default completion condition. If so, the processor 120 ends the fingerprint sensing. If not, the processor 120 re-executes step S1020 to continue fingerprint sensing.
After the swipe frame 810\ u 3 is acquired, in step S1032, the processor 120 determines whether the previous swipe frame 810_2 is the first swipe frame, and if not, the processor 120 executes step S1041. In step S1041, the processor 120 incorporates the fingerprint data set corresponding to the previous swipe frame 810 μ 2 into the pre-enrollment data. In step S1042, the processor 120 compares the corrected previous swipe frame 810_1 with the corrected previous swipe frame 810 _2to obtain a motion vector V1' between the corrected previous swipe frame 810 _u1 and the corrected previous swipe frame 810 _u2. In step S1043, the processor 120 generates the expanded block EB2 'corresponding to the corrected previous swipe frame 810_2, and determines the position of the expanded block EB2' in the user interface UI according to the motion vector V1 'and displays the expanded block EB2' to expand the range of the completed area 850. Next, the processor 120 executes step S1050.
In step S1050, the processor 120 determines whether the pre-registration data satisfies a default completion condition. If so, the processor 120 ends the fingerprint sensing. If not, the processor 120 re-executes step S1020 to continue fingerprint sensing. By analogy, the processor 120 sequentially obtains the swipe frames 810 _1-810 _P, and performs distortion correction on the swipe frames 810 _1-810 _Pbefore retrieving the feature points of the swipe frames 810 _1-810 _Pto remove or reduce the distortion caused by the swipe. Therefore, the electronic device 100 can sequentially obtain a plurality of swipe frames 810 _1to 810 _Pthrough the fingerprint sensor 110 to generate fingerprint registration data, and correspondingly display a real-time registration progress on the user interface UI.
However, in the present embodiment, if the user leaves the fingerprint sensor 110 during the fingerprint registration process (i.e. during the process of swiping the finger), and the fingerprint registration process is not completed (i.e. sufficient fingerprint data is not obtained), the electronic device 100 generates and displays a reminding message to ask the user to swipe the finger on the fingerprint sensor 120 again. The processor 120 executes steps S1020 to S1032. Assume that when the user swipes the finger again, the first and second swipe frames sensed by the fingerprint sensor 120 are swipe frames 810 _Kand 810_K + 1, where K is a positive integer between 2 and P. In step S1032, the processor 120 determines that the previous swipe frame 810 uk is the first swipe frame, so the processor 120 performs step S1033. In step S1033, the processor 120 determines whether the user has swiped the finger on the fingerprint sensor 110 for the first time, and if not, the processor 120 executes step S1035. In step S1035, the processor 120 incorporates the fingerprint data set corresponding to the previous swipe frame 810 uk into the pre-registration data. In step S1036, the processor 120 displays an expanded block corresponding to the corrected previous swipe frame at the center of the user interface UI according to the corrected previous swipe frame, so as to update the range of the completed area 850. Next, the processor 120 executes step S1050.
In summary, compared with the conventional fingerprint registration, the fingerprint registration method and the electronic device using the fingerprint registration method of the present invention can calculate a plurality of motion vectors of a plurality of swipe frames obtained by the fingerprint sensor, respectively, and correct the swipe frames according to the motion vectors, so as to improve the problem of fingerprint deformation. In addition, the fingerprint registration method and the electronic device using the fingerprint registration method of the invention can display the expansion blocks corresponding to the swipe frames in the user interface UI, and update the range of the completion area in the user interface UI in real time, so that the electronic device can provide the user with real-time fingerprint registration progress information.
Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention, but does not imply that it is present in every embodiment. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment of the invention.
Although the present invention has been described with reference to the above embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A fingerprint registration method, adapted to an electronic device for executing a fingerprint registration procedure to generate registration data of a fingerprint, the electronic device comprising a processor, a fingerprint sensor and a display, the fingerprint registration method comprising:
sequentially acquiring a plurality of swipe frames of the fingerprint by the fingerprint sensor;
sequentially analyzing the plurality of swipe frames by the processor to obtain a plurality of feature points of the plurality of swipe frames;
sequentially merging, by the processor, the plurality of feature points of the plurality of swipe frames into pre-registration data;
updating, by the processor, a completion area displayed in a user interface of the display in sequence according to a plurality of relative positional relationships of the plurality of feature points of the plurality of swipe frames; and
determining, by the processor, whether the pre-enrollment data satisfies a default completion condition to determine whether to end the fingerprint enrollment process,
wherein among the steps of sequentially merging the feature points of the swipe frames into the pre-registered data by the processor, the processor further performs the following for each of the swipe frames:
comparing, by the processor, the plurality of feature points of the swipe frame with the plurality of feature points of a previous swipe frame corresponding thereto to calculate a motion vector for correcting the previous swipe frame;
segmenting, by the processor, the previous swipe frame along the direction of the motion vector to produce a plurality of sub-swipe frames;
aligning, by the processor, the plurality of sub-swipe frames according to a gaussian curve corresponding to the previous swipe frame to correct the previous swipe frame;
analyzing, by the processor, the corrected previous swipe frame to obtain a plurality of feature points of the corrected previous swipe frame;
generating, by the processor, a fingerprint data set from the plurality of feature points of the corrected previous swipe frame; and
incorporating, by the processor, the fingerprint dataset of the previous swipe frame into the pre-enrollment data.
2. The fingerprint registration method of claim 1, wherein during the step of updating, by the processor, the completion area displayed in the user interface of the display according to the relative positional relationships of the feature points of the swipe frames, the processor further performs the following for each of the swipe frames:
generating, by the processor, an expanded region corresponding to each of the plurality of feature points of the swipe frame according to the feature point and displaying the expanded region on the user interface to update the completion area,
wherein the display position of the expanded block on the user interface is determined according to the relative position relationship between the corresponding feature point and another feature point in the pre-registered data.
3. The fingerprint registration method of claim 2, wherein the feature point and the another feature point are located in the same fingerprint data set.
4. The fingerprint registration method of claim 1, wherein during the step of updating, by the processor, the completion area displayed in the user interface of the display according to the relative positional relationships of the feature points of the swipe frames, the processor further performs the following for each of the swipe frames:
comparing the characteristic points of the slide brush frame with the characteristic points of the previous slide brush frame corresponding to the slide brush frame through the processor to find out the characteristic points which repeatedly appear in the slide brush frame and the previous slide brush frame corresponding to the slide brush frame, and calculating the displacement amount and the displacement direction of the repeatedly appearing characteristic points to obtain the motion vector between the slide brush frame and the previous slide brush frame corresponding to the slide brush frame; and
determining, by the processor, a display position of an expanded block corresponding to the swipe frame in the user interface according to the motion vector of the swipe frame and displaying the expanded block to update the completion area.
5. The fingerprint registration method of claim 1, wherein during the step of sequentially updating the completion area displayed in the user interface of the display according to the plurality of feature points of the plurality of swipe frames by the processor, the processor further performs the following for each of the plurality of swipe frames:
comparing, by the processor, the fingerprint data set of the swipe frame with the pre-registration data to obtain a motion vector of the fingerprint data set relative to the pre-registration data; and
displaying, by the processor, an expanded block corresponding to the swipe frame in the user interface in accordance with the motion vector to update the completion area.
6. An electronic device adapted to execute a fingerprint registration procedure, comprising:
the fingerprint sensor is used for sequentially obtaining a plurality of sliding frames of the finger object;
a processor coupled to the fingerprint sensor for sequentially analyzing the plurality of swipe frames to obtain a plurality of feature points of the plurality of swipe frames; and
a display coupled to the processor,
the processor sequentially merges the plurality of feature points of the plurality of swipe frames into pre-registration data,
the processor sequentially updates a completion area displayed in a user interface of the display according to a plurality of relative position relationships of the plurality of feature points of the plurality of swipe frames,
the processor determines whether the pre-registration data satisfies a default completion condition to determine whether to end the fingerprint registration procedure,
wherein the processor further performs the following for each of the plurality of swipe frames:
the processor compares the plurality of feature points of the swipe frame with the plurality of feature points of a previous swipe frame corresponding to the plurality of feature points of the swipe frame to calculate a motion vector for correcting the previous swipe frame,
the processor segmenting the previous swipe frame along the direction of the motion vector to generate a plurality of sub-swipe frames,
the processor aligns the sub-swipe frames according to the Gaussian curve corresponding to the previous swipe frame to correct the previous swipe frame,
the processor analyzes the corrected previous swipe frame to obtain a plurality of feature points of the corrected previous swipe frame,
the processor generates a fingerprint data set from the plurality of feature points of the corrected previous swipe frame,
the processor incorporates the fingerprint data set of the previous swipe frame into the pre-registration data.
7. The electronic device of claim 6, wherein the processor generates an expanded region corresponding to each of the plurality of feature points of the swipe frame and displays the expanded region on the user interface for updating the completion area,
wherein the display position of the expanded block on the user interface is determined according to the relative position relationship between the feature point corresponding to the expanded block and another feature point in the pre-registered data.
8. The electronic device of claim 7, wherein the feature point and the another feature point are located in a same fingerprint dataset.
9. The electronic device according to claim 6, wherein the processor compares the feature points of the swipe frame with the feature points of the previous swipe frame corresponding to the swipe frame to find the feature points repeatedly appearing in the swipe frame and the previous swipe frame corresponding to the swipe frame, and calculates a displacement amount and a displacement direction of the repeatedly appearing feature points to obtain the motion vector between the swipe frame and the previous swipe frame corresponding to the swipe frame,
the processor determines a display position of an expanded block corresponding to the swipe frame in the user interface according to the motion vector of the swipe frame and displays the expanded block to update the completion area.
10. The electronic device of claim 6, wherein the processor compares a fingerprint data set of the swipe frame with the pre-registration data to obtain a motion vector of the fingerprint data set relative to the pre-registration data,
the processor displays an expanded block corresponding to the swipe frame in the user interface according to the motion vector to update the completion area.
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| US62/660,268 | 2018-04-20 | ||
| TW107141438A TWI735821B (en) | 2018-04-12 | 2018-11-21 | Fingerprint registration method and electronic device using the same |
| TW107141438 | 2018-11-21 |
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