CN105303175A - Fingerprint identification method and device and mobile terminal - Google Patents
Fingerprint identification method and device and mobile terminal Download PDFInfo
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- CN105303175A CN105303175A CN201510681120.7A CN201510681120A CN105303175A CN 105303175 A CN105303175 A CN 105303175A CN 201510681120 A CN201510681120 A CN 201510681120A CN 105303175 A CN105303175 A CN 105303175A
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- 238000000034 method Methods 0.000 title claims abstract description 59
- 239000002699 waste material Substances 0.000 description 5
- 238000005457 optimization Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000011505 plaster Substances 0.000 description 1
- 238000002054 transplantation Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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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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- 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
- G06V40/1365—Matching; Classification
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
Abstract
The invention discloses a fingerprint identification method and device and a mobile terminal. The method comprises that a fingerprint sensor is used to obtain an image; the amount of pixel points in each row within a preset area of the obtained image is calculated; whether the obtained image includes an effective image is determined according to the amount of the pixel points in each row; and if yes, the obtained effective image is compared with a template image. The fingerprint identification method and device and the mobile terminal can provide convenience for users and save resources.
Description
Technical field
The embodiment of the present invention relates to fingerprint intelligent recognition technology field, particularly relates to a kind of recognition methods of fingerprint, device and mobile terminal.
Background technology
Because fingerprint has unchangeable property, uniqueness and convenience, be widely used in identification, especially, be employed to use as password (startup password of such as mobile terminal and the payment cipher of Taobao), to ensure privacy or even the property safety of user in the terminal.When using fingerprint as password, user needs finger to be placed on the fingerprint sensor of mobile terminal configuration, and fingerprint sensor detects the fingerprint of user, obtain fingerprint image, then fingerprint image is mated with template image, if the match is successful, then identify that successfully that is: password is correct; If mate unsuccessful, then recognition failures, that is: code error.
Because fingerprint sensor is sensitiveer, when finger not also stably to be fitted on fingerprint sensor (especially, for custom from the top down or from bottom to top moveable finger, finger plaster to be combined in the user on fingerprint sensor), or when other parts of skin that fingerprint sensor is close to the users or even mobile terminal are placed in pocket, fingerprint sensor can to finger or user other parts of skin even pocket detect, obtain image, due in said method, as long as fingerprint sensor obtains the action of image with regard to trigger match, therefore, whether what in said method, fingerprint sensor obtained is that this image and template image all can contrast by the complete image of fingerprint or the image of fingerprint, when fingerprint sensor identification be the imperfect image of fingerprint time, user needs finger to take away from fingerprint sensor to put down again to identify fingerprint image again, this brings inconvenience to user, when fingerprint sensor identification be not the image of fingerprint time, the resource of mobile terminal can be wasted.
Summary of the invention
The embodiment of the present invention proposes a kind of recognition methods of fingerprint, device and mobile terminal, to make troubles and the problem of wasting mobile terminal resource to solve existing fingerprinting scheme to user.
First aspect, embodiments provides a kind of recognition methods of fingerprint, comprising:
Fingerprint sensor is utilized to obtain image;
Calculate the quantity of the pixel of often going in the predeterminable area of the image obtained;
Quantity according to described pixel of often going judges whether the image of described acquisition comprises effective image, if so, then the effective image of described acquisition and template image is contrasted.
Second aspect, the embodiment of the present invention additionally provides a kind of recognition device of fingerprint, comprising:
Image collection module, obtains image for utilizing fingerprint sensor;
Pixel number calculating section, for calculating the quantity of the pixel of often going in the predeterminable area of the image of acquisition;
Judge module, for judging whether the image of described acquisition comprises effective image according to the quantity of described pixel of often going, if so, then contrasts the effective image of described acquisition and template image.
The third aspect, the embodiment of the present invention additionally provides a kind of mobile terminal, comprises the device that second aspect provides.
The recognition methods of the fingerprint that the embodiment of the present invention provides, device and mobile terminal, calculate the quantity of the pixel of often going in the predeterminable area of the image utilizing fingerprint sensor to obtain, and judge whether the image obtained comprises effective image according to the quantity of the pixel of often going, if so, then the effective image of acquisition and template image are contrasted.Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not contrasted, but first judge whether the image obtained comprises effective image, only have when the image obtained comprises effective image, just the effective image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles; What it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention one provides.
Fig. 2 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention two provides.
Fig. 3 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention three provides.
Fig. 4 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention four provides.
Fig. 5 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention five provides.
Fig. 6 is the structural representation of the recognition device of the fingerprint that the embodiment of the present invention six provides.
Embodiment
Technical scheme of the present invention is further illustrated by embodiment below in conjunction with accompanying drawing.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not entire infrastructure.
Before in further detail exemplary embodiment being discussed, it should be mentioned that some exemplary embodiments are described as the process or method described as process flow diagram.Although every step is described as the process of order by process flow diagram, many steps wherein can be implemented concurrently, concomitantly or simultaneously.In addition, the order of every step can be rearranged.When its step completes, described process can be terminated, but can also have the additional step do not comprised in the accompanying drawings.Described process can correspond to method, function, code, subroutine, subroutine etc.
Embodiment one
Fig. 1 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention one provides, and the method can be performed by the recognition device of fingerprint, and wherein this device can by software and/or hardware implementing, and general accessible site in the terminal.As shown in Figure 1, the method comprises:
Step 101, utilize fingerprint sensor obtain image.
Because integrated fingerprint sensor is in the terminal sensitiveer, when the subregion of finger is placed on fingerprint sensor or when being placed in pocket by mobile terminal by user, fingerprint sensor also can detect the clothes of Toe Transplantation for Segmental Finger or pocket, realize obtaining image, therefore, the image of above-mentioned acquisition is not only all images of fingerprint, may be also the parts of images of fingerprint, or even the image of clothes texture.
The quantity of step 102, the pixel of often going calculated in the predeterminable area of the image obtained.
Predeterminable area can be the whole region of the image obtained, and also can be the subregion of the image obtained.Due to user finger is placed on fingerprint sensor time, the part of finger edge can not contact well with fingerprint sensor, and therefore, the fringe region of the image that fingerprint sensor obtains is the region the most easily occurring error, therefore predeterminable area can also be the fringe region of the image obtained.
The quantity of the pixel that step 103, basis are often gone judges whether the image obtained comprises effective image, if so, then the effective image of acquisition and template image is contrasted.
Judge whether the image obtained comprises effective image according to the quantity of the pixel of often going in the predeterminable area of the image of acquisition obtained above, only have when the image obtained comprises effective image, just the effective image of acquisition and template image can be contrasted.
Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not contrasted, but calculate the quantity of the pixel of often going in the predeterminable area of the image utilizing fingerprint sensor to obtain, and judge whether the image obtained comprises effective image according to the quantity of the pixel of often going, only have when the image obtained comprises effective image, just the effective image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles, what it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
On the basis of such scheme, step 101, utilize fingerprint sensor to obtain before image, the method can also comprise: judge whether fingerprint sensor is pressed, and if so, then utilizes fingerprint sensor acquisition image.
Via such scheme, only when fingerprint sensor is subject to pressing, just image can be obtained, that is: the action obtaining image is that fingerprint sensor is subject to pressing rear triggering, this kind of triggering mode can reduce the probability that fingerprint sensor obtains image (that is: obtaining image when not needing to obtain image) by mistake, thus can reduce the waste of mobile terminal resource.
Embodiment two
Fig. 2 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention two provides, the present embodiment two is optimized based on above-described embodiment one, in the present embodiment two, the quantity of the pixel of the basis in step 103 often being gone judges whether the image obtained comprises effective image optimization and be: judge whether the quantity of the pixel of often going is more than or equal to the first preset value corresponding to corresponding line.As shown in Figure 2, the method comprises:
Step 201, utilize fingerprint sensor obtain image.
The quantity of step 202, the pixel of often going calculated in the predeterminable area of the image obtained.
Whether the quantity of the pixel that step 203, judgement are often gone is more than or equal to the first preset value corresponding to corresponding line, and if so, then the image obtained comprises effective image, and the effective image of acquisition and template image is contrasted.
The first corresponding with corresponding line for the quantity of the pixel of often going in the predeterminable area of the image of the above-mentioned acquisition calculated preset value is compared, if the quantity of the pixel of often going is more than or equal to the first preset value corresponding to corresponding line, the image then obtained comprises effective image, now, the effective image of acquisition and template image are contrasted.
The first preset value that often row is corresponding can be identical, also can not be identical, because the fingerprint of the zones of different of finger is not identical, therefore, the first preset value that often row is corresponding is preferably not identical, in addition: the first preset value that often row is corresponding can part identical, part is not identical.Due to user finger is placed on fingerprint sensor time, the part of finger edge can not contact with fingerprint sensor (negligible amounts of the pixel of the fringe region of the image namely obtained) well, therefore, often the relation of the first preset value that row is corresponding is preferably: first preset value that often row is corresponding of the fringe region of the image of acquisition is all less than first preset value that often row is corresponding of the remaining area except fringe region.
On the basis of embodiment one, via such scheme, when only having the quantity of pixel of often going in the predeterminable area of the image of acquisition to be more than or equal to the first preset value corresponding to corresponding line, the image of acquisition just comprises effective image, just the effective image of acquisition and template image can be contrasted.Ensure that the quantity of the pixel of often going in the predeterminable area of the image of acquisition reaches certain quantity, and then can ensure that the image obtained comprises effective image better.
Be understandable that, above-mentioned to judge whether the image obtained comprises effective image be that the first the preset value whether quantity of pixel of often going of predeterminable area by judging the image obtained is more than or equal to corresponding line corresponding realizes, and first preset value that whether can also be more than or equal to corresponding line corresponding by the quantity of the pixel judging the partial row of the predeterminable area of the image of acquisition realizes.
Embodiment three
Fig. 3 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention three provides, and the present embodiment three is optimized based on above-described embodiment one, in the present embodiment three, is preferably by the acquisition image in step 101: obtain image continuously; Judge whether the image of acquisition comprises effective image optimization and be according to the quantity of pixel of often going in step 103: judge whether the image that each moment obtains comprises effective image.As shown in Figure 3, the method comprises:
Step 301, fingerprint sensor is utilized to obtain an image at interval of the first preset time period.
At interval of the first preset time period, utilize fingerprint sensor to obtain an image, realize obtaining image continuously.
The quantity of step 302, the often capable pixel calculated in the predeterminable area of the image that each moment fingerprint sensor obtains.
Calculate the quantity of the pixel of often going in the predeterminable area of the image that each moment obtains, that is: often an image is obtained, just calculate the quantity of the pixel of often going in the predeterminable area of the image once obtained, realize the quantity of the pixel of often going in the predeterminable area of the image calculating each acquisition.
Step 303, determine the value of the N in the image that each moment fingerprint sensor obtains, wherein, the first row is all less than or equal to the second preset value corresponding to corresponding line to the quantity of the pixel of N-th row.
Determine the value of the N in the image that each moment obtains according to the quantity of the pixel of often going in the predeterminable area of the image of the above-mentioned each moment acquisition calculated, realize the value of the N determined in the image of each acquisition.
The first row can be the uppermost row of image obtained, and also can be the nethermost row of image obtained.
The second preset value that often row is corresponding can be identical, also can not be identical, because the fingerprint of the zones of different of finger is not identical, therefore, the second preset value that often row is corresponding is preferably not identical, in addition: the second preset value that often row is corresponding can part identical, part is not identical.Due to user finger is placed on fingerprint sensor time, the part of finger edge can not contact with fingerprint sensor (negligible amounts of the pixel of the fringe region of the image namely obtained) well, therefore, often the relation of the second preset value that row is corresponding is preferably: second preset value that often row is corresponding of the fringe region of the image of acquisition is all less than second preset value that often row is corresponding of the remaining area except fringe region.
Step 304, calculate the changing value of N in the second preset time period, wherein, the second preset time period is greater than described first preset time period.
According to the value of the N in the image that the above-mentioned each moment determined obtains, calculate the changing value of N in the second preset time period.
Be understandable that, expect the changing value of the N in certain hour section, then need within this period, have at least two N values, that is: the image having at least two to obtain within this period is needed, therefore, when only having the second preset time period to be greater than the first preset time period, the number of the image obtained in the second preset time period just can be equal to or greater than two.
Step 305, judge whether the changing value of N is less than or equal to the 3rd preset value, if so, then determine that the image that the last moment obtains is effective image, and the effective image of acquisition and template image are compared.
The changing value of N obtained above and the 3rd preset value are compared, if the changing value of N is less than or equal to the 3rd preset value, then determines that the image that the last moment obtains is effective image.
Be understandable that, owing to obtaining the effective image wanted, and the effective image of acquisition and template image contrasted, therefore, after the image of acquisition and template image being contrasted, fingerprint sensor can stop obtaining image.
For the fingerprint sensor (that is: fingerprint sensor is positioned at the back side of mobile terminal) of back touching type, user in use, being accustomed to moves up finger from the below of fingerprint sensor realizes finger to be placed on fingerprint sensor, therefore, when finger is not placed on fingerprint sensor by user completely, the quantity of the pixel of the lower zone in the image that fingerprint sensor obtains is more, the negligible amounts of the pixel of upper area, in addition, in the process of user's moveable finger, the area of a fairly large number of lower zone of pixel is increasing; The area of the upper area of pixel negligible amounts is more and more less, when finger to be placed on fingerprint sensor and to stop mobile by user completely, the variable quantity of the variable quantity of a fairly large number of lower zone area of pixel and the upper area area of pixel negligible amounts is almost 0.In such scheme, when the uppermost row of image obtained is the first row, because the first row to the quantity of the pixel of N-th row is all less than or equal to the second preset value corresponding to corresponding line, therefore, in the process obtaining image, the quantity of the pixel of the lower zone of the image obtained is more, the negligible amounts of the pixel of upper area; If the changing value of N is less than or equal to the 3rd preset value in the second preset time period, then the variable quantity of the variable quantity of pixels illustrated point a fairly large number of lower zone area and the upper area area of pixel negligible amounts is all less, now, the image obtained is more stable, is the complete image (that is: effective image) of fingerprint.Therefore, the recognition methods of fingerprint that the embodiment of the present invention three provides is adapted to the fingerprint sensor of back touching type.
Embodiment four
Fig. 4 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention four provides, and the present embodiment four is optimized based on above-described embodiment one, in the present embodiment four, is preferably by the acquisition image in step 101: obtain image continuously; Judge whether the image of acquisition comprises effective image optimization and be according to the quantity of pixel of often going in step 103: judge whether the image that each moment obtains comprises effective image.As shown in Figure 4, the method comprises:
Step 401, fingerprint sensor is utilized to obtain an image at interval of the first preset time period.
At interval of the first preset time period, utilize fingerprint sensor to obtain an image, realize obtaining image continuously.
The quantity of step 402, the often capable pixel calculated in the predeterminable area of the image that each moment fingerprint sensor obtains.
Calculate the quantity of the pixel of often going in the predeterminable area of the image that each moment obtains, that is: often an image is obtained, just calculate the quantity of the pixel of often going in the predeterminable area of the image once obtained, realize the quantity of the pixel of often going in the predeterminable area of the image calculating each acquisition.
Step 403, determine the value of the M in the image that each moment fingerprint sensor obtains, wherein, M walk to the pixel of last column equal in number in or be greater than the 4th preset value corresponding to corresponding line.
Determine the value of the M in the image that each moment obtains according to the quantity of the pixel of often going in the predeterminable area of the image of the above-mentioned each moment acquisition calculated, realize the value of the M determined in the image of each acquisition.
The first row can be the uppermost row of image obtained, and also can be the nethermost row of image obtained.
The 4th preset value that often row is corresponding can be identical, also can not be identical, because the fingerprint of the zones of different of finger is not identical, therefore, the 4th preset value that often row is corresponding is preferably not identical, in addition: the 4th preset value that often row is corresponding can part identical, part is not identical.Due to user finger is placed on fingerprint sensor time, the part of finger edge can not contact with fingerprint sensor (negligible amounts of the pixel of the fringe region of the image namely obtained) well, therefore, often the relation of the 4th preset value that row is corresponding is preferably: the 4th preset value that often row is corresponding of the fringe region of the image of acquisition is all less than the 4th preset value that often row is corresponding of the remaining area except fringe region.
The changing value of M in step 404, calculating the 3rd preset time period, wherein, the 3rd preset time period is greater than the first preset time period.
According to the value of the M in the image that the above-mentioned each moment determined obtains, calculate the changing value of M in the 3rd preset time period.
Be understandable that, expect the changing value of the M in certain hour section, then need within this period, have at least two M values, that is: the image having at least two to obtain within this period is needed, therefore, when only having the 3rd preset time period to be greater than the first preset time period, the number of the image obtained in the 3rd preset time period just can be equal to or greater than two.
Step 405, judge whether the changing value of M is less than or equal to the 5th preset value, if so, then the image that obtains is effective image the last moment.
The changing value of M obtained above and the 5th preset value are compared, if the changing value of M is less than or equal to the 5th preset value, then determines that the image that the last moment obtains is effective image.
Be understandable that, owing to obtaining the effective image wanted, and the effective image of acquisition and template image contrasted, therefore, after the image of acquisition and template image being contrasted, fingerprint sensor can stop obtaining image.
For the fingerprint sensor (that is: fingerprint sensor is positioned at the back side of mobile terminal) of back touching type, user in use, being accustomed to moves up finger from the below of fingerprint sensor realizes finger to be placed on fingerprint sensor, therefore, when finger is not placed on fingerprint sensor by user completely, the quantity of the pixel of the lower zone in the image that fingerprint sensor obtains is more, the negligible amounts of the pixel of upper area, in addition, in the process of user's moveable finger, the area of a fairly large number of lower zone of pixel is increasing; The area of the upper area of pixel negligible amounts is more and more less, when finger to be placed on fingerprint sensor and to stop mobile by user completely, the variable quantity of the variable quantity of a fairly large number of lower zone area of pixel and the upper area area of pixel negligible amounts is almost 0.In such scheme, when the nethermost row of image obtained is last column, due to M walk to the pixel of last column equal in number in or be greater than the 4th preset value corresponding to corresponding line, therefore, in the process obtaining image, the quantity of the pixel of the lower zone of the image obtained is more, the negligible amounts of the pixel of upper area; If the changing value of M is less than or equal to the 5th preset value in the 3rd preset time period, then the variable quantity of the variable quantity of pixels illustrated point a fairly large number of lower zone area and the upper area area of pixel negligible amounts is all less, now, the image obtained is more stable, is the complete image (that is: effective image) of fingerprint.Therefore, the recognition methods of fingerprint that the embodiment of the present invention four provides is adapted to the fingerprint sensor of back touching type.
The recognition methods of the fingerprint that the embodiment of the present invention three provides judges the image obtained based on the value of N; The recognition methods of the fingerprint that the embodiment of the present invention four provides judges the image obtained based on the value of M.It should be noted that, when judging whether the image obtained comprises effective image, can judge it in conjunction with the value of the value of N and M, that is: after obtaining image continuously, determine the value of the X in the image that each moment obtains according to the quantity of the pixel of often going in the predeterminable area of the image of each moment acquisition calculated simultaneously, wherein, the first row is all less than or equal to X corresponding to corresponding line to the quantity of the capable pixel of X
1preset value; X walk to the pixel of last column equal in number in or be greater than X corresponding to corresponding line
2preset value, then calculates the changing value of X in preset time period, finally judges whether the changing value of X is less than X
3preset value, if so, then the image obtained comprises effective image.
Embodiment five
Fig. 5 is the schematic flow sheet of the recognition methods of the fingerprint that the embodiment of the present invention five provides, the present embodiment five is optimized based on above-described embodiment one, in the present embodiment five, the quantity of the pixel of the basis in step 103 often being gone judges the image obtained is optimized for after whether comprising effective image: also comprise if not, then utilize fingerprint sensor again to obtain image.As shown in Figure 5, the method comprises:
Step 501, utilize fingerprint sensor obtain image.
The quantity of step 502, the pixel of often going calculated in the predeterminable area of the image obtained.
The quantity of the pixel that step 503, basis are often gone judges whether the image obtained comprises effective image, if so, then performs step 504, the effective image of acquisition and template image is contrasted; If not, then perform step 505, utilize fingerprint sensor again to obtain image.
On the basis of embodiment one, via such scheme, when the image obtained is not effective image, fingerprint sensor is utilized again to obtain image, when the Zone Full of finger is not placed on fingerprint sensor due to maloperation by user, user will not point the acquisition again of lifting and being placed on and fingerprint sensor can realizing image.
Embodiment six
Fig. 6 is the structural representation of the recognition device of the fingerprint that the embodiment of the present invention six provides, this device can by software and/or hardware implementing, generally in the terminal integrated, realize both bringing advantage to the user by the recognition methods performing fingerprint, save again the resource of mobile terminal.As shown in Figure 6, this device comprises: image collection module 601, pixel number calculating section 602 and judge module 603.
Wherein, image collection module 601, obtains image for utilizing fingerprint sensor; Pixel number calculating section 602, for calculating the quantity of the pixel of often going in the predeterminable area of the image of acquisition; According to the quantity of the pixel of often going, judge module 603, for judging whether the image obtained comprises effective image, if so, then the effective image of acquisition and template image is contrasted.
Via such scheme, after fingerprint sensor obtains image, directly the image of acquisition and template image are not contrasted, but calculate the quantity of the pixel of often going in the predeterminable area of the image utilizing fingerprint sensor to obtain, and judge whether the image obtained comprises effective image according to the quantity of the pixel of often going, only have when the image obtained comprises effective image, just the effective image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles, what it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
Preferably, judge module 603 can comprise: the first judging unit, for judging whether the quantity of the pixel of often going is more than or equal to the first preset value corresponding to corresponding line, and if so, then the image obtained comprises effective image.
Preferably, image collection module 601 can comprise: image acquisition unit, obtains an image for utilizing fingerprint sensor at interval of the first preset time period; Pixel number calculating section 602 can comprise: pixel amount calculation unit, for calculating the quantity of the pixel of often going in the predeterminable area of the image that each moment fingerprint sensor obtains.
Preferably, judge module 603 can comprise: the first determining unit, the first computing unit and the second judging unit.
Wherein, the first determining unit, for determining the value of the N in the image that each moment fingerprint sensor obtains, wherein, the first row is all less than or equal to the second preset value corresponding to corresponding line to the quantity of the pixel of N-th row; First computing unit, for calculating the changing value of N in the second preset time period, wherein, the second preset time period is greater than the first preset time period; Second judging unit, for judging whether the changing value of N is less than or equal to the 3rd preset value, if so, then determines that the image that the last moment obtains is effective image.
Preferably, judge module 603 can comprise: the second determining unit, the second computing unit and the 3rd judging unit.
Wherein, the second determining unit, for determining the value of the M in the image that each moment fingerprint sensor obtains, wherein, M walk to the pixel of last column equal in number in or be greater than the 4th preset value corresponding to corresponding line; Second computing unit, for calculating the changing value of M in the 3rd preset time period, wherein, the 3rd preset time period is greater than the first preset time period; 3rd judging unit, for judging whether the changing value of M is less than or equal to the 5th preset value, if so, then the image of last moment acquisition is effective image.
Preferably, this device can also comprise: pressing judge module, for judging whether fingerprint sensor is pressed, if so, then utilizes fingerprint sensor to obtain image.
Preferably, judge module also for if not, then utilizes fingerprint sensor again to obtain image.
Preferably, predeterminable area is the fringe region of the whole region of image or the image of acquisition obtained.
Said apparatus can perform the recognition methods of the fingerprint that the embodiment of the present invention one to embodiment five provides, and possesses and performs the corresponding functional module of said method and beneficial effect.The not ins and outs of detailed description in the present embodiment, the recognition methods of the fingerprint that can provide see the embodiment of the present invention one to embodiment five.
In addition, the embodiment of the present invention additionally provides a kind of mobile terminal, comprises the recognition device of the fingerprint that the embodiment of the present invention six provides, and can perform the recognition methods of the fingerprint that the embodiment of the present invention one to embodiment five provides.The mobile terminal that the embodiment of the present invention provides, after fingerprint sensor obtains image, directly the image of acquisition and template image are not contrasted, but calculate the quantity of the pixel of often going in the predeterminable area of the image utilizing fingerprint sensor to obtain, and judge whether the image obtained comprises effective image according to the quantity of the pixel of often going, only have when the image obtained comprises effective image, just the effective image of acquisition and template image can be contrasted, thus what avoid that fingerprint sensor obtains is not the fingerprint recognition failure that the complete image of fingerprint causes, thus to the problem that user makes troubles, what it also avoid that fingerprint sensor obtains is not the problem of the mobile terminal resource waste that the image of fingerprint causes, and then can bring advantage to the user and economize on resources.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.
Claims (17)
1. a recognition methods for fingerprint, is characterized in that, comprising:
Fingerprint sensor is utilized to obtain image;
Calculate the quantity of the pixel of often going in the predeterminable area of the image obtained;
Quantity according to described pixel of often going judges whether the image of described acquisition comprises effective image, if so, then the effective image of described acquisition and template image is contrasted.
2. method according to claim 1, is characterized in that, the quantity according to described pixel of often going judges whether the image of described acquisition comprises effective image and comprise:
Judge whether the quantity of described pixel of often going is more than or equal to the first preset value corresponding to corresponding line, and if so, then the image of described acquisition comprises effective image.
3. method according to claim 1, is characterized in that, utilizes fingerprint sensor to obtain image and comprises:
Described fingerprint sensor is utilized to obtain an image at interval of the first preset time period,
The quantity calculating the pixel of often going in the predeterminable area of the image obtained comprises:
Calculate the quantity of the pixel of often going in the predeterminable area of the image that fingerprint sensor described in each moment obtains.
4. method according to claim 3, is characterized in that, the quantity according to described pixel of often going judges whether the image of described acquisition comprises effective image and comprise:
Determine the value of the N in the image that fingerprint sensor described in each moment obtains, wherein, the first row is all less than or equal to the second preset value corresponding to corresponding line to the quantity of the pixel of N-th row;
Calculate the changing value of N in the second preset time period, wherein, described second preset time period is greater than described first preset time period;
Judge whether the changing value of N is less than or equal to the 3rd preset value, if so, then determine that the image that the last moment obtains is effective image.
5. method according to claim 3, is characterized in that, the quantity according to described pixel of often going judges whether the image of described acquisition comprises effective image and comprise:
Determine the value of the M in the image that fingerprint sensor described in each moment obtains, wherein, M walk to the pixel of last column equal in number in or be greater than the 4th preset value corresponding to corresponding line;
Calculate the changing value of M in the 3rd preset time period, wherein, described 3rd preset time period is greater than described first preset time period;
Judge whether the changing value of M is less than or equal to the 5th preset value, if so, then the image of last moment acquisition is effective image.
6. method according to claim 1, is characterized in that, before utilizing fingerprint sensor acquisition image, described method also comprises:
Judge whether described fingerprint sensor is pressed, if so, then utilize fingerprint sensor to obtain image.
7. the method according to any one of claim 1-6, is characterized in that, after judging whether the image of described acquisition comprises effective image according to the quantity of the pixel of often going, described method also comprises:
If not, then described fingerprint sensor is utilized again to obtain image.
8. the method according to any one of claim 1-6, is characterized in that, described predeterminable area is the fringe region of the whole region of the image of described acquisition or the image of described acquisition.
9. a recognition device for fingerprint, is characterized in that, comprising:
Image collection module, obtains image for utilizing fingerprint sensor;
Pixel number calculating section, for calculating the quantity of the pixel of often going in the predeterminable area of the image of acquisition;
Judge module, for judging whether the image of described acquisition comprises effective image according to the quantity of described pixel of often going, if so, then contrasts the effective image of described acquisition and template image.
10. device according to claim 9, is characterized in that, described judge module comprises:
First judging unit, for judging whether the quantity of described pixel of often going is more than or equal to the first preset value corresponding to corresponding line, and if so, then the image of described acquisition comprises effective image.
11. devices according to claim 9, is characterized in that, described image collection module comprises:
Image acquisition unit, for utilizing described fingerprint sensor to obtain an image at interval of the first preset time period,
Described pixel number calculating section comprises:
Pixel amount calculation unit, for calculating the quantity of the pixel of often going in the predeterminable area of the image that fingerprint sensor described in each moment obtains.
12. devices according to claim 11, is characterized in that, described judge module comprises:
First determining unit, for determining the value of the N in the image that fingerprint sensor described in each moment obtains, wherein, the first row is all less than or equal to the second preset value corresponding to corresponding line to the quantity of the pixel of N-th row;
First computing unit, for calculating the changing value of N in the second preset time period, wherein, described second preset time period is greater than described first preset time period;
Second judging unit, for judging whether the changing value of N is less than or equal to the 3rd preset value, if so, then determines that the image that the last moment obtains is effective image.
13. devices according to claim 11, is characterized in that, described judge module comprises:
Second determining unit, for determining the value of the M in the image that fingerprint sensor described in each moment obtains, wherein, M walk to the pixel of last column equal in number in or be greater than the 4th preset value corresponding to corresponding line;
Second computing unit, for calculating the changing value of M in the 3rd preset time period, wherein, described 3rd preset time period is greater than described first preset time period;
3rd judging unit, for judging whether the changing value of M is less than or equal to the 5th preset value, if so, then the image of last moment acquisition is effective image.
14. devices according to claim 9, is characterized in that, also comprise:
Pressing judge module, for judging whether described fingerprint sensor is pressed, if so, then utilizes fingerprint sensor to obtain image.
15. devices according to any one of claim 9-14, it is characterized in that, described judge module also for if not, then utilizes described fingerprint sensor again to obtain image.
16. devices according to any one of claim 9-14, it is characterized in that, described predeterminable area is the fringe region of the whole region of the image of described acquisition or the image of described acquisition.
17. 1 kinds of mobile terminals, is characterized in that, comprise the device according to any one of claim 9-16.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201510681120.7A CN105303175B (en) | 2015-10-19 | 2015-10-19 | A kind of recognition methods of fingerprint, device and mobile terminal |
| PCT/CN2016/093747 WO2017067288A1 (en) | 2015-10-19 | 2016-08-05 | Fingerprint recognition method and apparatus, and mobile terminal |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510681120.7A CN105303175B (en) | 2015-10-19 | 2015-10-19 | A kind of recognition methods of fingerprint, device and mobile terminal |
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| CN105303175A true CN105303175A (en) | 2016-02-03 |
| CN105303175B CN105303175B (en) | 2017-10-20 |
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| WO2017067288A1 (en) * | 2015-10-19 | 2017-04-27 | 广东欧珀移动通信有限公司 | Fingerprint recognition method and apparatus, and mobile terminal |
| CN108235750A (en) * | 2018-01-15 | 2018-06-29 | 深圳市汇顶科技股份有限公司 | The pressing detection method, apparatus and terminal device of fingerprint recognition system |
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| CN105303175B (en) * | 2015-10-19 | 2017-10-20 | 广东欧珀移动通信有限公司 | A kind of recognition methods of fingerprint, device and mobile terminal |
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| WO2017067288A1 (en) | 2017-04-27 |
| CN105303175B (en) | 2017-10-20 |
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