CN109446940A

CN109446940A - Fingerprint identification method, electronic device and computer-readable medium

Info

Publication number: CN109446940A
Application number: CN201811194937.1A
Authority: CN
Inventors: 吴安平; 杨乐
Original assignee: Oppo Chongqing Intelligent Technology Co Ltd
Current assignee: Oppo Chongqing Intelligent Technology Co Ltd
Priority date: 2018-10-12
Filing date: 2018-10-12
Publication date: 2019-03-08
Anticipated expiration: 2038-10-12
Also published as: CN109446940B

Abstract

This application provides a kind of fingerprint identification method, electronic device and computer-readable mediums.The described method includes: the image of acquisition user fingerprints is to obtain the first image；The characteristic point in the first image is taken to obtain the first finger print information, wherein the first finger print information includes the fisrt feature point of the first number；When fisrt feature point and the matched number of target feature point are less than the first preset number, the image for continuing to acquire user fingerprints is to obtain the second image；The characteristic point in the second image is extracted to obtain the second finger print information, wherein the second finger print information includes the second feature point of the second number；When being greater than or equal to the second preset number with the matched number of target feature point in fisrt feature point and second feature point, determine that user fingerprints are matched with pre-stored fingerprint image, wherein the second preset number is greater than the first preset number.Accuracy when fingerprint recognition can be improved in the application.

Description

Fingerprint identification method, electronic device and computer-readable medium

Technical field

This application involves technical field of biometric identification more particularly to a kind of fingerprint identification methods, electronic device and computer Readable media.

Background technique

With advances in technology, the function that the electronic devices such as mobile phone can be supported is more and more, and function is stronger and stronger, electricity Sub-device develops towards diversification, personalized direction.Electronic device usually has fingerprint identification function.Fingerprint is human finger Lines is formed by by concave-convex skin in the finger pulp of end, since the fingerprint of people is that nature-nurture is coefficient, with people Body health is also closely related, thus fingerprint everybody all have, it is different, since fingerprint repetitive rate is minimum, about 15,000,000,000/ One, therefore it is known as " human body identity card ".It is based on this feature of fingerprint, fingerprint is made extensively as the information of authentication With.The success rate of fingerprint recognition directly influences user to the service efficiency of electronic device, how to improve the success of fingerprint recognition Rate is the important directions of those skilled in the art's research.

Summary of the invention

The application provides a kind of fingerprint identification method, and the fingerprint identification method includes:

The image of user fingerprints is acquired to obtain the first image；

The characteristic point in the first image is extracted to obtain the first finger print information, wherein the first finger print information includes the first number Purpose fisrt feature point；

Judge whether the matched number of target feature point in fisrt feature point and pre-stored fingerprint image is default less than first Number；

When fisrt feature point and the matched number of target feature point are less than the first preset number, continue to acquire user fingerprints Image to obtain the second image；

The characteristic point in the second image is extracted to obtain the second finger print information, wherein the second finger print information includes the second number Purpose second feature point；

When in fisrt feature point and second feature point with the matched number of target feature point be greater than or equal to the second present count When mesh, determine that user fingerprints are matched with pre-stored fingerprint image, wherein the second preset number is greater than the first preset number.

Present invention also provides a kind of electronic device, the electronic device includes fingerprint acquisition device, memory and processing Device,

The fingerprint acquisition device, for acquiring the image of user fingerprints to obtain the first image；

The processor, for extracting the characteristic point in the first image to obtain the first finger print information, wherein the first fingerprint Information includes the fisrt feature point of the first number；

The processor is also used to judge that the fisrt feature point and the target feature point in pre-stored fingerprint image are matched Whether number is less than the first preset number, wherein the target feature point storage is in the memory；

When fisrt feature point and the matched number of target feature point are less than the first preset number, fingerprint acquisition device is also used In continue acquire user fingerprints image to obtain the second image；

The processor is also used to extract the characteristic point in the second image to obtain the second finger print information, wherein second refers to Line information includes the second feature point of the second number；

The processor is also used to be greater than when in fisrt feature point and second feature point with the matched number of target feature point Or when being equal to the second preset number, determine that user fingerprints are matched with pre-stored fingerprint image, wherein second preset number is greater than First preset number.

Present invention also provides a kind of computer-readable medium, the computer-readable medium is for storing computer Program, when the computer-readable medium is performed, to run mentioned-above fingerprint identification method.

Compared to the prior art, fisrt feature point and target signature of the fingerprint identification method of the application in the first image When the matched number of point is less than the first preset number, continues to acquire user fingerprint image and obtain the second image, and by the second image In second feature point and the fisrt feature point it is cumulative, fisrt feature point after adding up and in the set of second feature point with It is greater than or equal to the second preset number when the matched number of target feature point, determines the image and preset fingerprint figure of user fingerprints As matching, since the second feature point in the second image and the fisrt feature point in the first image is cumulative special with target again later Sign point is compared, thus precision when improving fingerprint recognition.

Detailed description of the invention

It, below will be to use required in embodiment in order to illustrate more clearly of the technical solution of the application embodiment Attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is some embodiments of the application, for this field For those of ordinary skill, without creative efforts, it is also possible to obtain other drawings based on these drawings.

Fig. 1 is the structural schematic diagram for the electronic device that one embodiment of the application provides.

The schematic diagram of included display component in the electronic device that Fig. 2 provides for one embodiment of the application.

The circuit structure of included fingerprint acquisition device shows in the electronic device that Fig. 3 provides for one embodiment of the application It is intended to.

Fig. 4 is fingerprint acquisition device shown in Fig. 3 operation principle schematic diagram in resetting time section.

Fig. 5 is fingerprint acquisition device shown in Fig. 3 operation principle schematic diagram when sensing the period.

Fig. 6 be fingerprint acquisition device shown in Fig. 3 at the time of reading between section when operation principle schematic diagram.

Fig. 7 is the operation principle schematic diagram when electronic device that one embodiment of the application provides carries out fingerprint recognition.

Fig. 8 is the flow diagram for the fingerprint identification method that one embodiment of the application provides.

Fig. 9 is flow diagram included by the S111 in an embodiment in fingerprint identification method shown in fig. 8.

Figure 10 is the signal of process included by the S111 in another embodiment in fingerprint identification method shown in fig. 8 Figure.

Figure 11 is flow diagram included by step S112 in fingerprint identification method provided by the present application.

Figure 12 is flow diagram included by step S116 in fingerprint identification method provided by the present application.

Figure 13 is the electrical block diagram of electronic device provided by the present application.

Specific embodiment

This application provides a kind of fingerprint identification method, the fingerprint identification method is applied in electronic device.The electricity Sub-device can be but be not limited only to the device that mobile phone, tablet computer etc. have fingerprint identification function.Referring to Fig. 1, Fig. 1 is this Apply for the structural schematic diagram for the electronic device that an embodiment provides.The electronic device 1 includes that fingerprint acquisition device 10 (please join Read Fig. 3), the fingerprint acquisition device 10 is used to acquire the image of user fingerprints.The fingerprint acquisition device 10 can be capacitor Formula fingerprint acquisition device may be optical fingerprint acquisition apparatus.The electronic device 1 further includes shell 20 and display component 30. The shell 20 forms accommodating space, and the display component 30 is mounted in the accommodating space that the shell 20 is formed, and Expose from the opening of the shell 20 for user's viewing the outer surface of the display component 30.The display component 30 can be Only component having a display function, or be integrated with the component of display and touch function.When the display component 30 collects When at having display and touch function, the display component 30 can receive the touch control operation of user and respond the operation to show Corresponding picture.The display component 30 can be self luminous panel, for example, organic LED panel；The display Component 30 or passively luminous panel, for example, liquid crystal display panel.The display component 30 usually has viewing area 310 and non-display area 320, the viewing area 310 is usually the region for showing text, picture, video etc., the non-display area 320 are generally arranged at the periphery of the viewing area 310, and the non-display area 320 is usually lighttight, described aobvious to cover Show the metal routing etc. in component 30.The fingerprint acquisition device 10 can be set on the shell 20, or described in correspondence The non-display area 320 of display component 30 is arranged, or the viewing area 310 of the corresponding display component 30 is arranged.When the fingerprint Component is arranged when on the shell 20, and the fingerprint acquisition device 10 can be set in the shell 20 and the display component 30 opposite positions, or the position that the shell 20 is disposed adjacent with the display component 30 is set.In present embodiment In the viewing area 310 of the display component 30 be arranged in the fingerprint acquisition device 10 and be with the fingerprint acquisition device 10 It is illustrated for optical fingerprint acquisition apparatus 10.The aobvious of the display component 30 is arranged in fingerprint acquisition device 10 by the application Showing can be improved institute for the non-display area 320 of the electronic device 1 is arranged in compared to the fingerprint acquisition device 10 for area 310 State the screen accounting of electronic device 1.For the convenience of description, the region of setting fingerprint acquisition device 10 is named as fingerprint collecting area 311.

Referring to Figure 2 together, included display component in the electronic device that Fig. 2 provides for one embodiment of the application Schematic diagram.The viewing area 310 includes multiple pixel regions in matrix distribution.Specifically, the display component 30 includes multiple Spaced scan line 330 and multiple spaced data lines 340, and the data line 340 and the scan line The setting of 330 transposition insulators, forms a pixel region between two adjacent data lines 340 and two adjacent scan lines 330.

Also referring to Fig. 3, included fingerprint collecting dress in the electronic device that Fig. 3 provides for one embodiment of the application The electrical block diagram set.The fingerprint acquisition device 10 includes multiple fingerprint collecting circuits 100.The fingerprint collecting circuit 100 include photosensitive circuit 110 and storage circuit 120, the photosensitive circuit 110 be set in the pixel region and with the storage Circuit 120 is electrically connected.It is to be appreciated that at least partly pixel in the viewing area 310 is arranged in the fingerprint collecting circuit 100 Area, so that the partial region or whole region in the viewing area 310 have the function of fingerprint collecting.In an embodiment In, the photosensitive circuit 110 is light sensor, and the storage circuit 120 is capacitor.

Referring to Figure 4 together~Fig. 5, Fig. 4 are that fingerprint acquisition device shown in Fig. 3 working principle in resetting time section is shown It is intended to；Fig. 5 is fingerprint acquisition device shown in Fig. 3 operation principle schematic diagram when sensing the period；Fig. 6 is finger shown in Fig. 3 Line acquisition device at the time of reading between section when operation principle schematic diagram.The fingerprint collecting circuit 100 is when carrying out fingerprint collecting, packet It includes but is not limited only to include resetting time section, the period for sensing three period, read access time section Time Continuous.When resetting Between in section, the storage circuit 120 receives charging signals with storage energy, so that the storage circuit 120 and the photosensitive electricity The voltage of the connected one end in road is first voltage；Within the sensing period after the resetting time section, when the photosensitive electricity When road 110 receives optical signal, the storage circuit 120 is formed into a loop with the photosensitive circuit 110；In the sensing period Finish time, the voltage between the storage circuit 120 and the photosensitive circuit 110 become second voltage, the second voltage Less than the first voltage, in the read access time section after the sensing period, the second voltage is exported.

Further, the fingerprint collecting circuit 100 further includes first switch K1 and charging port 130.Described first opens It closes K1 to be connected between the charging port 130 and the storage circuit 120, the charging port 130 is for loading institute State charging signals；First switch K1 closure in resetting time section, so that the storage circuit 120 is from the charging Port 130 receives the charging signals；The first switch K1 is equal within the sensing period and in the read access time section It disconnects.

Further, the display component 30 further includes charging circuit 350, and the charging circuit 350 is used for described multiple The charging signals are sent to the storage circuit 120 in the period of position.The charging circuit 350 is arranged in the pixel region, Or the corresponding non-display area 320 of the charging circuit 350 is arranged.

Further, the fingerprint collecting circuit 100 includes second switch K2 and read port 140.The second switch K2 is connected between the read port 140 and the storage circuit 120, and the second switch K2 is in the read access time section Closure, so that the read port 140 exports the second voltage；The second switch K2 is in resetting time section and institute It states and is disconnected in the sensing period.

Further, the display component 30 further includes reading circuit 360, and the reading circuit 360 is used in the reading It takes in the period and reads the second voltage between the storage circuit 120 and the photosensitive circuit circuit 110.The reading The setting of circuit 360 is arranged in the pixel region or the corresponding non-display area 320 of the charging circuit 350.

Further, the fingerprint acquisition device 10 includes amplifier A, and the amplifier A is connected to the storage electricity One end that road 120 is connected with the photosensitive circuit, the amplifier A is for amplifying the second voltage.Correspondingly, at this point, The reading circuit 360 is for reading the amplified second voltage.

Referring to Figure 7 together, the work when electronic device progress fingerprint recognition that Fig. 7 provides for one embodiment of the application Schematic illustration.Shown in detail in this figure with the predeterminable area that the fingerprint collecting circuit 100 is arranged in the viewing area 310 Meaning, that is, the predeterminable area is fingerprint collecting area 311.Be less than at a distance from display component 30 in the fingerprint face of user's finger or When equal to distance of reaction, the processor 70 in the electronic device 1 controls the predeterminable area and shines to illuminate user's finger Fingerprint face is reflected in the light that the predeterminable area issues by the fingerprint face of user's finger, and reflected light is by the photosensitive circuit 110 It receives.Wherein, the distance of reaction is the maximum distance that the photosensitive circuit 110 can accurately incude simultaneously reflection light.Due to The fingerprint face of user's finger has ridge and paddy, under the premise of the light intensity that the predeterminable area issues is certain, ridge and paddy pair The reflex of light is different, when the photosensitive circuit 110 receives the reflected light of varying strength, on the photosensitive circuit 110 The size of the sensing electric current of generation is also different.It therefore, can be electric according to being sensed in the different pixel region in the fingerprint collecting area 311 The size of the sensing electric current of road output determines the images of user fingerprints.Further, the sensing electric current is of different sizes Be embodied in after the sensing period, the second voltage it is of different sizes.Accordingly it is also possible to according to the sensing is passed through The size for the second voltage that sensing circuit exports in the 311 different pixels area, fingerprint collecting area after period and the fingerprint The position coordinates of each pixel region in acquisition zone 311 determine the images of user fingerprints.

Fingerprint identification method provided by the present application is introduced below with reference to previously described electronic device 1, is please referred to Fig. 8, Fig. 8 are the flow diagram for the fingerprint identification method that one embodiment of the application provides.The fingerprint identification method includes But it is not limited only to include S111~S18.S111~S118 is described in detail as follows.

S111 acquires the image of user fingerprints to obtain the first image.

S112 extracts the characteristic point in the first image to obtain the first finger print information, wherein the first finger print information includes the The fisrt feature point of one number.

Whether S113 judges the matched number of target feature point in fisrt feature point and pre-stored fingerprint image less than first Preset number.When the matched number of target feature point in the fisrt feature point and pre-stored fingerprint image is greater than or equal to first When preset number, into S114；When the fisrt feature point and the matched number of target feature point in pre-stored fingerprint image are small When the first preset number, into S115.

S114, when the fisrt feature point and the matched number of target feature point in pre-stored fingerprint image are greater than or equal to When the first preset number, user fingerprints and preset fingerprint images match are determined.

S115 continues acquisition and uses when fisrt feature point and the matched number of target feature point are less than the first preset number The image of family fingerprint is to obtain the second image.

S116 extracts the characteristic point in the second image to obtain the second finger print information, wherein the second finger print information includes the The second feature point of two numbers.

S117 judges whether be greater than or equal in fisrt feature point and second feature point with the matched number of target feature point Second preset number.It is pre- when being greater than or equal to second with the matched number of target feature point in fisrt feature point and second feature point If when number, into S118；When pre- less than second with the matched number of target feature point in fisrt feature point and second feature point If when number, into S119.

S118, it is pre- when being greater than or equal to second with the matched number of target feature point in fisrt feature point and second feature point If when number, determining that user fingerprints are matched with pre-stored fingerprint image, wherein the second preset number is greater than the first preset number.It lifts For example, first preset number is 12, and second preset number is 16.When judgement user fingerprints and pre-stored fingerprint When images match, the electronic device 1 can be made to carry out deliberate action, for example, the electronic device 1 is unlocked, Or log in chat software, payment software etc. in electronic device 1.

Compared with the prior art, fisrt feature point and target feature point of the fingerprint identification method of the application in the first image When matched number is less than the first preset number, continues acquisition user fingerprint image and obtain the second image, and will be in the second image Second feature point and the fisrt feature point it is cumulative, fisrt feature point after adding up and in the set of second feature point with mesh It is greater than or equal to the second preset number when marking the number of Feature Points Matching, determines the image and preset fingerprint image of user fingerprints Matching, due to by the second feature point in the second image and the fisrt feature point in the first image it is cumulative later again with target signature Point is compared, thus precision when improving fingerprint recognition.

In one embodiment, extracting the characteristic point in the first image to obtain the first finger print information includes: by the first figure As being divided into multiple first subgraphs, characteristic point is extracted using parallel form to the first subgraph, to obtain the first number Fisrt feature point.Extracting characteristic point using parallel form to the first subgraph can save according to from collecting first figure As to extracting the time used in fisrt feature point.Further, when the first image being divided into multiple first subgraphs, The density of the first subgraph in first position in first image is greater than the first subgraph in the first image in second part Density, wherein the concentration of included characteristic point is greater than feature included in second part in the first position The concentration of point.When first image is divided into multiple first subgraphs, the more intensive position of characteristic point is carried out Finer division, accuracy when being identified so as to improve to user fingerprints.

In other embodiments, in step S113, judge that the target in fisrt feature point and pre-stored fingerprint image is special When whether the matched number of sign point is less than the first preset number, portion that can be first more intensive to characteristic point in the first image Position is compared, and the place sparse to characteristic point in the first image is compared again later.Due in the first image characteristic point compared with The characteristic point concentrated for intensive position is more, therefore, can capture more characteristic points in a relatively short period of time, thus into One step has been saved from the first image is collected to extracting the time used in fisrt feature point.

When the fingerprint collecting circuit 100 in the fingerprint acquisition device 10 including M1 exception and M2 normal fingerprints When Acquisition Circuit 100, wherein M1 and M2 is positive integer.S111 acquires the image of user fingerprints and is specifically wrapped with obtaining the first image S1111, S1112 and S1113 are included, S1111, S1112 and S1113 are described in detail as follows.It is in Fig. 8 also referring to Fig. 9, Fig. 9 Shown in flow diagram included by S111 in fingerprint identification method in an embodiment.

S1111 obtains M2 bottom fingerprint by M2 normal fingerprint collecting circuits 100 in fingerprint acquisition device 10 Data.

S1112 determines the M1 abnormal corresponding M1 of fingerprint collecting circuit 100 according to the M2 bottom finger print data A bottom reference data.

S1113 generates the first image according to the M2 bottom finger print data and the M1 bottom reference data.

Further, " S1113 determines M1 abnormal fingerprint collecting circuit according to the M2 bottom finger print data 100 corresponding M1 bottom reference datas " include S1113a and S1113b.

S1113a obtains the coordinate value of M1 abnormal fingerprint collecting circuit 100.

S1113b, according to the coordinate value and the M2 bottom finger print data of each abnormal fingerprint collecting circuit 100, Average value processing is executed for each abnormal point, to obtain the M1 abnormal corresponding M1 bottom of fingerprint collecting circuit 100 ginseng Examine data.

The average value processing comprise determining that in the normal fingerprint collecting circuits 100 of the M2 with current average value processing The distance of the coordinate value of abnormal point is less than N number of fingerprint collecting circuit 100 of pre-determined distance, calculates N number of fingerprint collecting circuit The average value of 100 corresponding N number of bottom finger print datas determines the bottom ginseng that the average value is the abnormal point of current average value processing Examine data, wherein N is positive integer, and N is less than M2.

In the present embodiment, when in fingerprint acquisition device 10 including abnormal fingerprint collecting circuit 100, pass through The corresponding bottom finger print data of normal fingerprint collecting circuit 100 in fingerprint acquisition device 10 is obtained to determine abnormal finger The bottom reference data of line Acquisition Circuit 100, and use is generated according to the bottom finger print data and the bottom reference data First image of family fingerprint, therefore, the application can include abnormal fingerprint collecting circuit 100 in fingerprint acquisition device 10 When still be able to obtain user fingerprints the first image.

Also referring to Figure 10, Figure 10 is the S111 institute in another embodiment in fingerprint identification method shown in fig. 8 Including flow diagram.In the present embodiment, the fingerprint acquisition device 10 is optical fingerprint acquisition apparatus 10, the finger Line acquisition device 10 please refers to introduction of the front to the physical circuit of fingerprint acquisition device 10 and sensing principle, no longer superfluous herein It states.In the present embodiment, " S111 acquires the image of user fingerprints to obtain the first image " include S1116, S1117, S1118 and S1119；S1116, S1117, S1118 and S1119 are described in detail as follows.

S1116 includes multiple pixel regions in array distribution in fingerprint collecting area 311, is provided with finger in each pixel region Line Acquisition Circuit 100, the fingerprint collecting circuit 100 receive the optical signal of user fingerprints reflection, and according to the optical signal of reflection Generate the first sensing electric current.

S1117, the intensity of sense ambient light signal, and obtain ambient light signal and be irradiated to the fingerprint collecting circuit 100 On second sensing electric current.

S1118 obtains object sensing electric current according to the difference of the first sensing electric current and the second sensing electric current.

S1119, according to the size of object sensing electric current and the picture in all pixels area in the fingerprint collecting area 311 The coordinate value in plain area obtains the first image.

Specifically, the fingerprint collecting circuit 100 receives the optical signal of user fingerprints reflection, and according to the optical signal of reflection It generates the first sensing electric current and refers to that the photosensitive circuit 110 in the fingerprint collecting circuit 100 receives optical signal and generates the first sense Survey electric current.It is stored in the memory 60 of the electronic device 1 in the intensity and fingerprint collecting circuit 100 of optical signal according to The corresponding relationship for the sensing electric current that optical signal generates.It further include ambient light sensor 40 in the electronic device 1, the environment light Sensor 40 is used for the intensity of sense ambient light signal, and according to the intensity of the ambient light signal sensed and the memory The corresponding relationship stored in 60 obtains generated when the ambient light signal is irradiated on the fingerprint collecting circuit 100 Two sensing electric currents.The interference for rejecting environment light in present embodiment when obtaining the image of user fingerprints, helps to improve acquisition Accuracy when the first image further increases accuracy when user fingerprints are carried out with fingerprint recognition.

Please continue to refer to Fig. 8, the fingerprint identification method further includes S119~S123, S119~S123 be discussed in detail as Under.

S119, when in fisrt feature point and second feature point with the matched number of target feature point less than the second preset number When, the image for continuing to acquire user fingerprints is to obtain third image.

S120 extracts the characteristic point in third image to obtain third finger print information, wherein third finger print information includes the The third feature point of three numbers, wherein third feature point and fisrt feature point and second feature point are different.

S121, judge be with the matched number of target feature point in fisrt feature point, second feature point and third feature point It is no to be greater than or equal to third preset number.When in fisrt feature point, second feature point and third feature point with target feature point When the number matched is greater than or equal to third preset number, into S122；When fisrt feature point, second feature point and third feature point In with the matched number of target feature point be less than third preset number when, into S123.For example, first preset number It is 12, second preset number is 16, and the third preset number is 18.

S122, when being greater than in fisrt feature point, second feature point and third feature point with the matched number of target feature point Or when being equal to third preset number, determine that user fingerprints are matched with preset fingerprint, wherein it is default that third preset number is greater than second The ratio of number, the first preset number and the second preset number is the first ratio, third preset number and the second preset number Ratio is the second ratio, and the first ratio is less than the second ratio.

S123, when being less than in fisrt feature point, second feature point and third feature point with the matched number of target feature point When third preset number, determine that user fingerprints and preset fingerprint image mismatch.

Further, in one embodiment, S111, acquire the image of user fingerprints with obtain the first image include: through The image of user fingerprints is acquired after the first time for exposure to obtain the first image.

Correspondingly, the image of S116 acquisition user fingerprints includes: to adopt after the second time for exposure to obtain the second image Collect the image of user fingerprints to obtain the second image, wherein second time for exposure is greater than first time for exposure.At this In embodiment, the image for acquiring user fingerprints passes through when obtaining the time for exposure passed through when the second image than obtaining the first image Time for exposure it is long so that the clarity of second image is higher than the clarity of the first image, improve to Family fingerprint carries out accuracy when fingerprint recognition.

Further, in another embodiment, S111, acquiring the image of user fingerprints to obtain the first image includes: The image of user fingerprints is acquired after the first time for exposure to obtain the first image.Correspondingly, S116 acquires user fingerprints Image includes: to acquire the image of user fingerprints after the second time for exposure to obtain the second image to obtain the second image.Phase Ying Di, S120, acquiring the image of user fingerprints to obtain third image includes: to acquire user fingerprints by optimum exposure time Image is to obtain third image, wherein the second time for exposure was greater than for the first time for exposure and the second time for exposure was less than best expose Between light time.In the present embodiment, time for exposure for passing through is acquired when the images of user fingerprints obtains the second image than obtaining the The time for exposure passed through when one image is long, so that clarity of the clarity of second image than the first image Height, and, the time for exposure passed through when acquiring the image acquisition third image of user fingerprints is optimum exposure time, so that obtaining The clarity of the third image obtained is all higher than the clarity of the first image and the second image, and the raising of image definition is more advantageous to Characteristic point is obtained to image analysis, to improve accuracy when user fingerprints are carried out with fingerprint recognition.

Further, S115, when fisrt feature point and the matched number of target feature point are less than the first preset number, after The image of continuous acquisition user fingerprints includes the following steps that S1151 and S1152, S1151 and S1152 are situated between in detail to obtain the second image It continues as follows.

S1151 judge that first is special when fisrt feature point and the matched number of target feature point are less than the first preset number Whether sign point is greater than or equal to the 4th preset number with the matched number of target feature point.

S1152, when fisrt feature point and the matched number of target feature point less than the first preset number and are greater than or equal to 4th preset number, the image for continuing to acquire user fingerprints is to obtain the second fingerprint image.

Further, if when the fisrt feature point and the matched number of the target feature point are less than the first preset number And fisrt feature point and the matched number of target feature point are less than the 4th preset number, then, determine user fingerprints and prestore Fingerprint image mismatches.

In the present embodiment, when the fisrt feature o'clock is less than the first preset number, then judge the fisrt feature Whether point is greater than or equal to the 4th preset number with the matched number of target feature point, when fisrt feature point and target feature point The number matched is greater than or when four preset number, although then showing that the first image and pre-stored fingerprint image mismatch, first Similarity between image and pre-stored fingerprint image it is also relatively high (for example, the 4th preset number and first preset number it Between ratio be greater than or equal to 75%), then, and can continue acquire user fingerprints image, obtain the second image, then take by Fisrt feature point and second feature point carry out matched mode with target feature point jointly；When fisrt feature point and target are special When the matched number of sign point is less than four preset numbers, then show matching degree between the first image and pre-stored fingerprint image not Height can directly determine that user fingerprints and pre-stored fingerprint image mismatch.In one embodiment, first preset number is 12, the 4th preset number is 8, and the ratio of the 4th preset number and first preset number is 75%.

In one embodiment, S119, when in fisrt feature point and second feature point with the matched number of target feature point When less than the second preset number, the image for continuing to acquire user fingerprints includes S1191 and S1192, S1191 to obtain third image And S1192 is described in detail as follows.

S1191, when in fisrt feature point and second feature point with the matched number of target feature point less than the second present count When mesh, judges whether to be greater than or equal to the 5th preset number with the matched number of target feature point in fisrt feature point and judge Whether it is greater than or equal to the 6th preset number with the matched number of target feature point in two characteristic points, wherein the 4th preset number It is third ratio with the ratio of the first preset number, the ratio of the 5th preset number and the 4th preset number is the 4th ratio, the The ratio of six preset numbers and the 4th preset number is the 5th ratio, and the 4th ratio is greater than third ratio, and the 5th ratio is greater than institute State third ratio.

S1192 the 5th preset number and works as when being greater than or equal in fisrt feature point with the matched number of target feature point When being greater than or equal to six preset numbers with the matched number of target feature point in second feature point, continue to acquire user fingerprints Image is to obtain third image, wherein the 5th preset number is less than the second preset number and the 6th preset number is pre- less than second If number.For example, first preset number is 12, and the 4th preset number is 8, the 5th preset number It is 6, the 6th preset number is 6, and the ratio of the 4th preset number and first preset number is 2/3, that is, The third ratio is 2/3, and the ratio of the 5th preset number and the 4th preset number is 3/4, and the described 6th is default The ratio of number and the 4th preset number is 3/4, that is, the 4th ratio is 3/4, and the 5th ratio is 3/4, described 4th ratio is greater than the third ratio, and the 5th ratio is greater than the third ratio.

In the present embodiment, it is greater than or equal to the 5th present count with the matched number of target feature point in fisrt feature point Mesh, and in second feature point with the matched number of target feature point be greater than or equal to six preset numbers when, just continue acquisition use The image of family fingerprint can be further improved accuracy when identifying to user fingerprints；And in present embodiment, described Four ratios are greater than third ratio and the 5th ratio is greater than the third ratio and also further improves to user's progress fingerprint Accuracy when identification.

Figure 11 is please referred to, Figure 11 is the signal of process included by step S112 in fingerprint identification method provided by the present application Figure.It include the first background image and the first fingerprint image in the first image, in an embodiment in conjunction with above-mentioned each embodiment In, S112 extracts the characteristic point in the first image to obtain the first finger print information, wherein the first finger print information includes the first number Purpose fisrt feature point includes S1121, S1122 and S1123, and S1121, S1122 and S1123 are described in detail as follows.

S1121 extracts in the first image the characteristic point that mixes of background element and fingerprint elements to obtain the first base Quasi- characteristic point.

S1122 extracts the characteristic point of the first background image to obtain the first background characteristics point.

S1123 obtains first finger print information according to the first reference characteristic point and the first background characteristics point.Specifically, Available first finger print information of fisrt feature point is removed from the first reference characteristic point.

It include the first back in the first image being acquired using image of the fingerprint acquisition device 10 to user fingerprints Scape image and the first fingerprint image, the first background image can interfere the first fingerprint image, and therefore, it is necessary to carry on the back first Scape image removes the interference of the first fingerprint image, to improve accuracy when identifying to user fingerprints.

It include the second background image and the second fingerprint image in second image, in one embodiment, S111 acquires user The image of fingerprint includes: that the first image is obtained after the third time for exposure to obtain the first image.

Correspondingly, " continuing to acquire the image of user fingerprints in S115 to obtain the second image " includes: by the 4th exposure The second image is obtained after time, wherein the 4th time for exposure was greater than the third time for exposure.

Correspondingly, S116, extract the second image in characteristic point with obtain the second finger print information include S1161, S1162, S1163 and S1164；S1161, S1162, S1163 and S1164 are described in detail as follows.Figure 12 is please referred to, Figure 12 provides for the application Fingerprint identification method in flow diagram included by step S116.

S1161 extracts background element and fingerprint elements mix in the second image characteristic point to obtain the second base Quasi- characteristic point.

S1162 extracts the characteristic point of the second background image to obtain the second background characteristics point.

Second background characteristics point and the first background characteristics point are overlapped by S1163, to obtain the first cumulative characteristic point.

S1164 obtains the second finger print information according to the second reference characteristic point and the first cumulative characteristic point.Specifically, from The first cumulative available first finger print information of characteristic point is removed in two reference characteristic points.

In the image being acquired using image of the fingerprint acquisition device 10 to user fingerprints include background image with And fingerprint image, background image can interfere fingerprint image, therefore, it is necessary to go background image to the interference of fingerprint image It removes.In removal by background image to the interference of fingerprint image when, present embodiment is by the first background characteristics point and the second back Scape characteristic point adds up, and obtains the first cumulative characteristic point, and the first cumulative characteristic point is then removed from the second reference characteristic point Accuracy to obtain first finger print information, when being identified so as to improve to user fingerprints.

Figure 13 is please referred to, Figure 13 is the electrical block diagram of electronic device provided by the present application.Present invention also provides A kind of electronic device 1 is described in detail below with reference to electronic device 1 of the previously described fingerprint identification method to the application. The electronic device 1 includes fingerprint acquisition device 10, memory 60 and processor 70.The fingerprint acquisition device 10 described is deposited Reservoir 60 and the processor 70 are described in detail as follows.

The fingerprint acquisition device 10, for acquiring the image of user fingerprints to obtain the first image.

The processor 70, for extracting the characteristic point in the first image to obtain the first finger print information, wherein first refers to Line information includes the fisrt feature point of the first number.

The processor 70 is also used to judge that the fisrt feature point is matched with the target feature point in pre-stored fingerprint image Number whether less than the first preset number, wherein the target feature point is stored in the memory 60.

When fisrt feature point and the matched number of target feature point are less than the first preset number, fingerprint acquisition device 10 is also For continuing the image of acquisition user fingerprints to obtain the second image.

The processor 70 is also used to extract the characteristic point in the second image to obtain the second finger print information, wherein second Finger print information includes the second feature point of the second number.

The processor 70 is also used to when big with the matched number of target feature point in fisrt feature point and second feature point When the second preset number, determine that user fingerprints are matched with pre-stored fingerprint image, wherein second preset number is big In the first preset number.

Further, when default less than second with the matched number of target feature point in fisrt feature point and second feature point When number, the fingerprint acquisition device 10 is also used to continue the image of acquisition user fingerprints to obtain third image；

The processor 70 is also used to extract the characteristic point in third image to obtain third finger print information, wherein third Finger print information includes the third feature point of third number, wherein third feature point and fisrt feature point and second feature point are not Together；

When being greater than or equal in fisrt feature point, second feature point and third feature point with the matched number of target feature point When third preset number, the processor 70 is also used to determine that user fingerprints are matched with preset fingerprint, wherein third preset number Greater than the second preset number, the ratio of the first preset number and the second preset number is the first ratio, third preset number and the The ratio of two preset numbers is the second ratio, and the first ratio is less than the second ratio.

Further, the electronic device 1 further includes controller 50, and the controller 50 is for controlling the fingerprint collecting Device 10 acquires the image of user fingerprints after the first time for exposure to obtain the first image, adopt after the second time for exposure Collect the image of user fingerprints to obtain the second image, by the image of optimum exposure time acquisition user fingerprints to obtain third figure Picture, wherein second time for exposure is greater than first time for exposure and when second time for exposure is less than optimum exposure Between.

Further, when fisrt feature point and the matched number of target feature point are less than the first preset number, the place Reason device 70 is also used to judge whether fisrt feature point and the matched number of target feature point are greater than or equal to the 4th preset number；

When fisrt feature point and the matched number of target feature point less than the first preset number and are greater than or equal to the 4th in advance If number, the fingerprint acquisition device 10 is also used to continue the image of acquisition user fingerprints to obtain the second fingerprint image.

Further, when default less than second with the matched number of target feature point in fisrt feature point and second feature point When number, the processor 70 is also used to judge whether be greater than or equal in fisrt feature point with the matched number of target feature point 5th preset number and judge whether be greater than or equal to the 6th present count with the matched number of target feature point in second feature point Mesh, wherein the ratio of the 4th preset number and the first preset number is the first ratio, the 5th preset number and the 4th preset number Ratio be the second ratio, the ratio of the 6th preset number and the 4th preset number is third ratio, and the second ratio is greater than first Ratio, third ratio are greater than first ratio；

When being greater than or equal to the 5th preset number in fisrt feature point with the matched number of target feature point and when second is special When being greater than or equal to six preset numbers with the matched number of target feature point in sign point, the fingerprint acquisition device 10 continues to adopt Collect user fingerprints image to obtain third image, wherein the 5th preset number less than the second number and the 6th preset number it is small In the second preset number.

Further, the first image includes the first background image and the first fingerprint image, and the processor 70 extracts When characteristic point in first image is to obtain the first finger print information, it is specifically used for:

The characteristic point that background element and fingerprint elements mix in the first image is extracted to obtain the first reference characteristic Point；

The characteristic point of the first background image is extracted to obtain the first background characteristics point；

First finger print information is obtained according to the first reference characteristic point and the first background characteristics point.

It further, include the second background image and the second fingerprint image in second image, the electronic device 1 is also Including controller 50, the controller 50 is for controlling described in the fingerprint acquisition device 10 obtains after the third time for exposure First image and second image is obtained after the 4th time for exposure, wherein the 4th time for exposure exposed greater than third Time；

When the processor 70 extracts the characteristic point in the second image to obtain the second finger print information, it is specifically used for:

Characteristic point that background element and fingerprint elements in the second image mix is extracted to obtain the second reference characteristic Point；

The characteristic point of the second background image is extracted to obtain the second background characteristics point；

Second background characteristics point and the first background characteristics point are overlapped, to obtain the first cumulative characteristic point；

Second finger print information is obtained according to the second reference characteristic point and the first cumulative characteristic point.

Further, it is specifically used when the processor 70 extracts the characteristic point in the first image to obtain the first finger print information In:

First image is divided into multiple first subgraphs；

Characteristic point is extracted using parallel form to the first subgraph, to obtain the fisrt feature point of the first number.

Further, when the first image being divided into multiple first subgraphs, in the first position in the first image The density of one subgraph is greater than the density of the first subgraph in the first image in second part, wherein in the first position The concentration of included characteristic point is greater than the concentration of characteristic point included in second part.

Further, the electronic device 1 further includes ambient light sensor 40, and the ambient light sensor 40 is for sensing The intensity of ambient light signal.

Include multiple pixel regions in array distribution in fingerprint collecting area 311, is provided with fingerprint collecting in each pixel region Circuit 100, the fingerprint collecting circuit 100 receive the optical signal of user fingerprints reflection, and generate the according to the optical signal of reflection One sensing electric current.

The intensity of the 40 sense ambient light signal of ambient light sensor, and obtain ambient light signal and be irradiated to the fingerprint The second sensing electric current in Acquisition Circuit 100.

The processor 70 obtains object sensing electric current according to the difference of the first sensing electric current and the second sensing electric current.

The processor 70 also according to object sensing electric current in all pixels area in the fingerprint collecting area 311 size with And the coordinate value of the pixel region obtains the first image.

Present invention also provides a kind of computer-readable medium, the computer-readable medium is for storing computer Program, when the computer-readable medium is performed, to run fingerprint identification method described in any one embodiment in front.

It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of Combination of actions, but those skilled in the art should understand that, the present invention is not limited by the sequence of acts described because According to the present invention, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know It knows, the embodiments described in the specification are all preferred embodiments, and related actions and modules is not necessarily of the invention It is necessary.

In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, reference can be made to the related descriptions of other embodiments.

In several embodiments provided herein, it should be understood that disclosed device, it can be by another way It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit, It can be electrical or other forms.

The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.

It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.

If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer-readable access to memory.Based on this understanding, technical solution of the present invention substantially or Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment (can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the present invention Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.

Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory May include: flash disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access device (English: Random Access Memory, referred to as: RAM), disk or CD etc..

The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any Those familiar with the art within the technical scope of the present application, can easily expect various equivalent modifications or Replacement, these modifications or substitutions should all cover within the scope of protection of this application.Therefore, the protection scope Ying Yiquan of the application Subject to the protection scope that benefit requires.

Claims

1. a kind of fingerprint identification method, which is characterized in that the fingerprint identification method includes:

The image of user fingerprints is acquired to obtain the first image；

The characteristic point in the first image is extracted to obtain the first finger print information, wherein the first finger print information includes the first number Fisrt feature point；

Judge the matched number of target feature point in fisrt feature point and pre-stored fingerprint image whether less than the first preset number；

When fisrt feature point and the matched number of target feature point are less than the first preset number, continue the figure for acquiring user fingerprints As to obtain the second image；

The characteristic point in the second image is extracted to obtain the second finger print information, wherein the second finger print information includes the second number Second feature point；

When being greater than or equal to the second preset number with the matched number of target feature point in fisrt feature point and second feature point, Determine that user fingerprints are matched with pre-stored fingerprint image, wherein the second preset number is greater than the first preset number.

2. fingerprint identification method as described in claim 1, which is characterized in that the fingerprint identification method further include:

When in fisrt feature point and second feature point with the matched number of target feature point less than the second preset number when, continue to adopt Collect user fingerprints to obtain third image image；

The characteristic point in third image is extracted to obtain third finger print information, wherein third finger print information includes third number Third feature point, wherein third feature point and fisrt feature point and second feature point are different；

When in fisrt feature point, second feature point and third feature point with the matched number of target feature point be greater than or equal to third When preset number, determining that user fingerprints are matched with preset fingerprint, wherein third preset number is greater than the second preset number, and first The ratio of preset number and the second preset number is the first ratio, and the ratio of third preset number and the second preset number is second Ratio, the first ratio is less than the second ratio.

3. fingerprint identification method as claimed in claim 1 or 2, which is characterized in that " image of acquisition user fingerprints is to obtain the One image " includes:

The image of user fingerprints is acquired after the first time for exposure to obtain the first image；

" image of acquisition user fingerprints is to obtain the second image " includes:

The image of user fingerprints is acquired after the second time for exposure to obtain the second image, wherein second time for exposure Greater than first time for exposure.

4. fingerprint identification method as claimed in claim 2, which is characterized in that " image of acquisition user fingerprints is to obtain first Image " includes:

The image of user fingerprints is acquired after the second time for exposure to obtain the second image；

" image of acquisition user fingerprints is to obtain third image " includes:

By the image of optimum exposure time acquisition user fingerprints to obtain third image, wherein the second time for exposure was greater than the One time for exposure and the second time for exposure are less than optimum exposure time.

5. fingerprint identification method as claimed in claim 2, which is characterized in that " when fisrt feature point is matched with target feature point Number less than the first preset number when, continue acquire user fingerprints image to obtain the second image " include:

When fisrt feature point and the matched number of target feature point are less than the first preset number, fisrt feature point and target are judged Whether the number of Feature Points Matching is greater than or equal to the 4th preset number；

When fisrt feature point and the matched number of target feature point less than the first preset number and are greater than or equal to the 4th present count Mesh, the image for continuing to acquire user fingerprints is to obtain the second fingerprint image.

6. fingerprint identification method as claimed in claim 5, which is characterized in that " when in fisrt feature point and second feature point with When the matched number of target feature point is less than the second preset number, the image for continuing to acquire user fingerprints is to obtain third image " Include:

When in fisrt feature point and second feature point with the matched number of target feature point less than the second preset number when, judge Whether it is greater than or equal to the 5th preset number with the matched number of target feature point in one characteristic point and judges in second feature point Whether it is greater than or equal to the 6th preset number with the matched number of target feature point, wherein the 4th preset number is default with first The ratio of number is third ratio, and the ratio of the 5th preset number and the 4th preset number is the 4th ratio, the 6th preset number Ratio with the 4th preset number is the 5th ratio, and the 4th ratio is greater than third ratio, and the 5th ratio is greater than the third ratio；

When in fisrt feature point with the matched number of target feature point be greater than or equal to the 5th preset number and work as second feature point In with the matched number of target feature point be greater than or equal to six preset numbers when, continue acquire user fingerprints image to obtain Third image, wherein the 5th preset number is less than the second preset number and the 6th preset number is less than the second preset number.

7. fingerprint identification method as described in claim 1, which is characterized in that include the first background image in the first image, " mention The characteristic point in the first image is taken to obtain the first finger print information, wherein the first finger print information includes the first spy of the first number Levy point " include:

8. fingerprint identification method as claimed in claim 7, which is characterized in that it include the second background image in the second image,

" image of acquisition user fingerprints is to obtain the first image " includes: that the first image is obtained after the third time for exposure；

" continuing to acquire the image of user fingerprints to obtain the second image " includes: to obtain the second figure after the 4th time for exposure Picture, wherein the 4th time for exposure was greater than the third time for exposure；

" extracting the characteristic point in the second image to obtain the second finger print information " includes:

The second finger print information is obtained according to the second reference characteristic point and the first cumulative characteristic point.

9. fingerprint identification method as described in claim 1, which is characterized in that " extract the characteristic point in the first image to obtain First finger print information, wherein the first finger print information includes the fisrt feature point of the first number " includes:

First image is divided into multiple first subgraphs, characteristic point is extracted using parallel form to the first subgraph, to obtain Obtain the fisrt feature point of the first number.

10. fingerprint identification method as claimed in claim 9, which is characterized in that the first image is divided into multiple first subgraphs When picture, the density of the first subgraph in the first position in the first image is greater than in the first image the first son in second part The density of image, wherein the concentration of included characteristic point is greater than included in second part in the first position The concentration of characteristic point.

11. a kind of electronic device, which is characterized in that the electronic device includes fingerprint acquisition device, memory and processor,

The processor, for extracting the characteristic point in the first image to obtain the first finger print information, wherein the first finger print information Fisrt feature point including the first number；

The processor is also used to judge the matched number of target feature point in the fisrt feature point and pre-stored fingerprint image Whether less than the first preset number, wherein the target feature point storage is in the memory；

When fisrt feature point and the matched number of target feature point are less than the first preset number, fingerprint acquisition device be also used to after The image of continuous acquisition user fingerprints is to obtain the second image；

The processor is also used to extract the characteristic point in the second image to obtain the second finger print information, wherein the second fingerprint letter Breath includes the second feature point of the second number；

The processor is also used to be greater than or wait with the matched number of target feature point when in fisrt feature point and second feature point When the second preset number, determine that user fingerprints are matched with pre-stored fingerprint image, wherein second preset number is greater than first Preset number.

12. electronic device as claimed in claim 11, which is characterized in that when in fisrt feature point and second feature point with target When the number of Feature Points Matching is less than the second preset number, the fingerprint acquisition device is also used to continue the figure of acquisition user fingerprints As to obtain third image；

The processor is also used to extract the characteristic point in third image to obtain third finger print information, wherein third fingerprint letter Breath includes the third feature point of third number, wherein third feature point and fisrt feature point and second feature point are different；

When in fisrt feature point, second feature point and third feature point with the matched number of target feature point be greater than or equal to third When preset number, the processor is also used to determine that user fingerprints are matched with preset fingerprint, wherein third preset number is greater than the The ratio of two preset numbers, the first preset number and the second preset number is the first ratio, and third preset number is default with second The ratio of number is the second ratio, and the first ratio is less than the second ratio.

13. electronic device as claimed in claim 12, which is characterized in that the electronic device further includes controller, the control Device processed acquires the image of user fingerprints after the first time for exposure for controlling the fingerprint acquisition device to obtain the first figure Picture acquires the image of user fingerprints after the second time for exposure to obtain the second image, acquire and use by optimum exposure time The image of family fingerprint is to obtain third image, wherein second time for exposure is greater than first time for exposure and described the Two time for exposure were less than optimum exposure time.

14. electronic device as claimed in claim 12, which is characterized in that when fisrt feature point and target feature point matched When number is less than the first preset number, the processor is also used to judge whether are fisrt feature point and the matched number of target feature point More than or equal to the 4th preset number；

When fisrt feature point and the matched number of target feature point less than the first preset number and are greater than or equal to the 4th present count Mesh, the fingerprint acquisition device are also used to continue the image of acquisition user fingerprints to obtain the second fingerprint image.

15. electronic device as claimed in claim 14, which is characterized in that

When in fisrt feature point and second feature point with the matched number of target feature point less than the second preset number when, the place Reason device be also used to judge in fisrt feature point whether be greater than or equal to the matched number of target feature point the 5th preset number and Judge whether be greater than or equal to the 6th preset number with the matched number of target feature point in second feature point, wherein the 4th is pre- If the ratio of number and the first preset number is the first ratio, the ratio of the 5th preset number and the 4th preset number compares for second The ratio of value, the 6th preset number and the 4th preset number is third ratio, and the second ratio is greater than the first ratio, and third ratio is big In first ratio；

When in fisrt feature point with the matched number of target feature point be greater than or equal to the 5th preset number and work as second feature point In with the matched number of target feature point be greater than or equal to six preset numbers when, the fingerprint acquisition device continue acquire user The image of fingerprint is to obtain third image, wherein the 5th preset number is less than the second number and the 6th preset number is less than second Preset number.

16. electronic device as claimed in claim 11, which is characterized in that the first image includes the first background image, institute When stating the characteristic point in processor the first image of extraction to obtain the first finger print information, it is specifically used for:

17. electronic device as claimed in claim 16, which is characterized in that it include the second background image in second image, The electronic device further includes controller, and the controller is for controlling the fingerprint acquisition device after the third time for exposure It obtains the first image and obtains second image after the 4th time for exposure, wherein the 4th time for exposure was greater than The third time for exposure；

When the processor extracts the characteristic point in the second image to obtain the second finger print information, it is specifically used for:

18. electronic device as claimed in claim 11, which is characterized in that the processor extracts the characteristic point in the first image It is specifically used for when the first finger print information with obtaining:

First image is divided into multiple first subgraphs；

19. electronic device as claimed in claim 18, which is characterized in that the first image is divided into multiple first subgraphs When, the density of the first subgraph in first position in the first image is greater than the first subgraph in the first image in second part The density of picture, wherein the concentration of included characteristic point is greater than spy included in second part in the first position Levy the concentration of point.

20. a kind of computer-readable medium, which is characterized in that the computer-readable medium is for storing computer journey Sequence, when the computer-readable medium is performed, with operation such as the described in any item fingerprint recognition sides claim 1-10 Method.