CN105844265A - Fingerprint image processing method and device - Google Patents
Fingerprint image processing method and device Download PDFInfo
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- CN105844265A CN105844265A CN201610402072.8A CN201610402072A CN105844265A CN 105844265 A CN105844265 A CN 105844265A CN 201610402072 A CN201610402072 A CN 201610402072A CN 105844265 A CN105844265 A CN 105844265A
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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
- G06V40/1347—Preprocessing; Feature extraction
- G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
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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
- G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
Abstract
The invention discloses a fingerprint image processing method and device. The method includes the following steps that: an image obtaining instruction is obtained, and a fingerprint image is obtained according to the image obtaining instruction; a first print feature is determined in the fingerprint image; a first pixel set corresponding to the first print feature is obtained; whether pixels in the fingerprint image are located in the first pixel set is judged; and if the pixels in the fingerprint image are located in the first pixel set, pixel parameters corresponding to the pixels are processed correspondingly according to the first pixel set. With the fingerprint image processing method and device of the invention adopted, the fingerprint image can be obtained, and the pixel parameters are processed correspondingly according to the positions of the pixels in the image, and therefore, the definition and contrast of the fingerprint image can be improved. Compared with an existing fingerprint recognition technology, the fingerprint image processing method and device can greatly enhance the accuracy of fingerprint recognition.
Description
Technical field
The present invention relates to fingerprint identification technology field, be specifically related to a kind of fingerprint image treating method and apparatus.
Background technology
Along with the development of fingerprint identification technology, fingerprint identification technology is widely used in some and portable sets
Standby upper.As a example by fingerprint sensor, the user fingerprints information obtained due to fingerprint sensor can be as this use
The unique features mark at family, therefore can pass through fingerprint sensor discriminating user, and present fingerprint identification technology is
Becoming the standard configuration of main flow mobile terminal manufacturer flagship type, fingerprint recognition can be not only used for the solution of mobile terminal
Lock and the function such as wake up up, is also the important ring of mobile payment.Fingerprint pays and is meeting user's property easy to use
While, to safety it is also proposed that higher requirement.
At present, the finger print detection device of capacitor induction type is when carrying out fingerprint detection, if existing dead on finger
Skin, spot residual and water stain etc. is disturbed, and its fingerprint image quality collected can be deteriorated, and may result in fingerprint
The accuracy rate identified is substantially reduced.
From the foregoing, it will be observed that in the middle of existing fingerprint identification technology, there is the technology that fingerprint recognition accuracy rate is low
Problem.
Summary of the invention
The embodiment of the present invention provides a kind of fingerprint image treating method and apparatus, can solve existing fingerprint and know
The technical problem that in the middle of other technology, fingerprint recognition accuracy rate is low.
The embodiment of the present invention provides a kind of fingerprint image processing method, including:
Reception Image Acquisition instructs, and obtains fingerprint image according to the instruction of described Image Acquisition；
The first patterned feature is determined from described fingerprint image；
Obtain the first collection of pixels that described first patterned feature is corresponding；
Judge in described fingerprint image, whether pixel is positioned at described first collection of pixels；
The most then according to described first collection of pixels, the pixel-parameters that described pixel is corresponding is located accordingly
Reason.
Further, described method also includes:
If judging, described pixel is not positioned in the middle of described first collection of pixels, then determine from described fingerprint image
Second patterned feature；
Obtain the second collection of pixels that described second patterned feature is corresponding；
Judge whether described pixel is positioned at described second collection of pixels；
The most then according to described second collection of pixels, the pixel-parameters that described pixel is corresponding is located accordingly
Reason.
Further, described according to described first collection of pixels, the pixel-parameters that described pixel is corresponding is carried out phase
The step of the process answered specifically includes:
Obtain first preset value corresponding with described first collection of pixels；
According to described first preset value, the pixel-parameters that described pixel is corresponding is processed.
Further, the step of the first collection of pixels that described first patterned feature of described acquisition is corresponding is specifically wrapped
Include:
The first lines trend is determined according to described first patterned feature；
Obtain the pixel being positioned in the middle of described fingerprint image in described first lines trend；
The first collection of pixels is determined according to the described pixel being positioned in the first fingerprint trend.
Further, described judge in described fingerprint image, whether pixel is positioned at described first collection of pixels
Step specifically includes:
Obtain the positional information of pixel in described fingerprint image；
Judge whether there is the sample identical with described positional information in described first collection of pixels；
If, it is determined that described pixel is positioned at described first collection of pixels.
The embodiment of the present invention additionally provides a kind of screen control device, including: image collection module, the first spy
Levy and determine module, the first set acquisition module, the first judge module and the first processing module；
Described image collection module, is used for receiving Image Acquisition instruction, and obtains according to the instruction of described Image Acquisition
Print image；
Described fisrt feature determines module, for determining the first patterned feature from described fingerprint image；
Described first set acquisition module, for obtaining the first set of pixels that described first patterned feature is corresponding
Close；
Described first judge module, is used for judging in described fingerprint image, whether pixel is positioned at described first pixel
In set；
Described first processing module, for when described first judge module is judged as YES, according to described first
The pixel-parameters that described pixel is corresponding is processed by collection of pixels accordingly.
Further, described device also includes: second feature determine module, the second set acquisition module, the
Two judge modules and the second processing module；
Described second feature determines module, for when described first judge module is judged as NO, from described finger
Print image determines the second patterned feature；
Described second set acquisition module, for obtaining the second set of pixels that described second patterned feature is corresponding
Close；
Described second judge module, is used for judging whether described pixel is positioned at described second collection of pixels；
Described second processing module, for when described second judge module is judged as YES, according to described second
The pixel-parameters that described pixel is corresponding is processed by collection of pixels accordingly.
Further, described first processing module specifically includes: obtains submodule and processes submodule；
Described acquisition submodule, for obtaining first preset value corresponding with described first collection of pixels；
Described process submodule, for entering the pixel-parameters that described pixel is corresponding according to described first preset value
Row processes.
Further, described first set acquisition module specifically includes: trend determines that submodule, pixel obtain
Submodule and set determine submodule；
Described trend determines submodule, for determining the first lines trend according to described first patterned feature；
Described pixel obtains submodule, obtains and is positioned in the middle of described fingerprint image in described first lines trend
Pixel；
Described set determines submodule, determines first for the pixel being positioned in the first fingerprint trend described in basis
Collection of pixels.
Further, described first judge module specifically includes: position acquisition submodule, judge submodule with
And determine submodule；
Described position acquisition submodule, for obtaining the positional information of pixel in described fingerprint image；
Whether described judgement submodule, for judging to exist in described first collection of pixels to believe with described position
The sample that manner of breathing is same；
Described determine submodule, for when described judgement submodule is judged as YES, determine that described pixel is positioned at
In described first collection of pixels.
First the embodiment of the present invention receives Image Acquisition instruction, and obtains fingerprint according to the instruction of described Image Acquisition
Image, determines the first patterned feature from fingerprint image, obtains the first set of pixels that the first patterned feature is corresponding
Close, it is judged that in fingerprint image, whether pixel is positioned at the first collection of pixels, the most then according to the first set of pixels
Close and the pixel-parameters that pixel is corresponding is processed accordingly.This programme can get fingerprint image, and root
According to the position of the pixel in image, pixel-parameters is processed accordingly, to improve the clear of fingerprint image
Degree and contrast, compared with existing fingerprint identification technology, be greatly improved the accuracy rate identifying fingerprint.
Accompanying drawing explanation
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, institute in embodiment being described below
The accompanying drawing used is needed to be briefly described, it should be apparent that, the accompanying drawing in describing below is only the present invention
Some embodiments, for those skilled in the art, on the premise of not paying creative work, also
Other accompanying drawing can be obtained according to these accompanying drawings.
The schematic flow sheet of a kind of fingerprint image processing method that Fig. 1 provides for the embodiment of the present invention one；
The structural representation of a kind of capacitance type sensor that Fig. 2 provides for the embodiment of the present invention one；
The schematic flow sheet of a kind of fingerprint image processing method that Fig. 3 provides for the embodiment of the present invention two；
The structural representation of a kind of fingerprint image processing means that Fig. 4 provides for the embodiment of the present invention three；
The structural representation of the second fingerprint image processing means that Fig. 5 provides for the embodiment of the present invention three.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clearly
Chu, be fully described by, it is clear that described embodiment be only a part of embodiment of the present invention rather than
Whole embodiments.Based on the embodiment in the present invention, those skilled in the art are not making creative labor
The every other embodiment obtained under dynamic premise, broadly falls into the scope of protection of the invention.
The embodiment of the present invention provides a kind of fingerprint image treating method and apparatus.To carry out specifically respectively below
Bright.
Embodiment one,
The present embodiment will be described from the angle of fingerprint image processing means, and this fingerprint image processing means has
Body can integrated in the terminal, this terminal can be mobile internet device (such as smart mobile phone, panel computer)
Etc. the electronic equipment comprising fingerprint identification function.
The flow process referring to a kind of fingerprint image processing method that Fig. 1, Fig. 1 provide for the embodiment of the present invention one is shown
Being intended to, the fingerprint image of the present embodiment processes and includes:
Step S101, receives Image Acquisition instruction, and obtains fingerprint image according to Image Acquisition instruction.
Specifically, when user carries out fingerprint recognition on the terminal device, fingerprint is such as utilized to realize screen solution
During the functions such as lock or payment, fingerprint reading systems can be passed through, such as optical fingerprint collector, heat-sensitive type
The fingerprint image that user is inputted by sensor, radio frequency sensor etc. is acquired.
As a example by fingerprint reading systems is as capacitance sensor, it is a kind of relatively conventional former for using capacitance sensor
The generating mode of beginning fingerprint image, as in figure 2 it is shown, the sensor array in figure is made up of 56*192 pixel,
When the finger of user is pressed on this sensor, each pixel is with forming capacitive sensing between finger surface
Signal (i.e. capacitance), capacitive sensing signal is converted to digital signal by the Analog to Digital Converter of capacitance sensor
Capacitance, the size of capacitance can be different due to the peak valley difference of fingerprint, the finger peak of fingerprint and pixel
Between close together, corresponding produce bigger capacitance, thus digital signal be bigger；The finger paddy of fingerprint with
Distant between pixel, the corresponding capacitance produced is less, thus digital signal is the least, finally
Original fingerprint image is generated according to this 56*192 capacitance.
Wherein, the method for above-mentioned reception Image Acquisition instruction can have multiple, and such as detection fingerprint sensor is
No finger user being detected, the most then generate Image Acquisition instruction, and this instruction may be used for transferring fingerprint
The fingerprint image that sensor generates according to the user's finger detected, wherein, this fingerprint image can be
Fingerprint sensor is after receiving fingerprint characteristic data (such as capacitance), raw according to this fingerprint characteristic data
Become fingerprint image, it is also possible to at fingerprint sensor after receiving fingerprint characteristic data, by this fingerprint
Characteristic send to processor and by processor according to the fingerprint image of this feature data genaration.
Step S102, determines the first patterned feature from above-mentioned fingerprint image.
In embodiments of the present invention, after getting fingerprint image, this fingerprint image can be carried out feature
Extract, to obtain the first patterned feature information in image.Concrete, fingerprint image is typically by referring to peak shape
The line (there is in image the streakline of one fixed width and trend) become and line (recessed between streakline referring to paddy formation
Fall into part) present, this first patterned feature can be to refer to that peak can also be to refer to paddy, namely from above-mentioned
Fingerprint image determines finger peak or from above-mentioned fingerprint image, determines finger paddy.
Concrete, as a example by this first patterned feature is for referring to peak, determines in fingerprint image and refer to that the method at peak can
Multiple to have, such as obtain gray value in the middle of fingerprint image and be more than the pixel of the first predetermined threshold value, above-mentioned picture
The lines that vegetarian refreshments is constituted is finger peak；Optionally, this first patterned feature such as can also obtain for referring to paddy
In the middle of print image, gray value is less than the pixel of the second predetermined threshold value, the lines that above-mentioned pixel is constituted
Being finger paddy, wherein, above-mentioned first predetermined threshold value and the second predetermined threshold value can be the same or different, when
When first predetermined threshold value and the second predetermined threshold value differ, this first predetermined threshold value is more than the second predetermined threshold value.
Preferably, after getting fingerprint image, determine from above-mentioned fingerprint image the first patterned feature it
Before, it is also possible to this image is carried out pretreatment, such as noise reduction process, image sharpening etc., is allowed to more clear
Clear, then in the middle of this pretreated fingerprint image, determine the first patterned feature.
Step S103, obtains the first collection of pixels that above-mentioned first patterned feature is corresponding.
Wherein, this step can specifically include: obtains the pixel that above-mentioned first patterned feature is corresponding, according to
Above-mentioned pixel determines this first collection of pixels.
Such as, as a example by this first patterned feature is for referring to peak, i.e. obtain at fingerprint image above middle finger peak
Pixel, so that it is determined that the first collection of pixels namely refer to peak set, this refers to that peak set namely fingerprint image work as middle finger
The lines that peak is constituted.
Further, the step of the first collection of pixels that above-mentioned acquisition the first patterned feature is corresponding can specifically be wrapped
Include:
The first lines trend is determined according to the first patterned feature；
Obtain the pixel being positioned in the middle of fingerprint image in the first lines trend；
The first collection of pixels is determined according to the above-mentioned pixel being positioned in the first fingerprint trend.
Step S104, it is judged that in above-mentioned fingerprint image, whether pixel is positioned at the first collection of pixels.
In the middle of the embodiment of the present invention, fingerprint image is to be made up of multiple pixels, judges each pixel respectively
Whether it is positioned in the middle of above-mentioned first collection of pixels, wherein, it is judged that in above-mentioned fingerprint image, whether pixel is positioned at
Method in one collection of pixels can have multiple, such as can obtain the positional information of pixel, then according to being somebody's turn to do
Positional information mates in the middle of the first collection of pixels, if match in the first collection of pixels have identical
The pixel of positional information, it is determined that above-mentioned pixel is positioned at the first collection of pixels, i.e. judges picture in fingerprint image
Whether element is positioned at the step of the first collection of pixels specifically includes:
Obtain the positional information of pixel in fingerprint image；
Judge whether to exist the sample identical with this positional information in the first collection of pixels；
If, it is determined that pixel is positioned at the first collection of pixels.
Such as, features described above information can be coordinate information, first obtains the coordinate information of pixel, then basis
This coordinate information mates in the middle of the first collection of pixels, if match in the middle of this first collection of pixels with
The sample that above-mentioned coordinate information is identical, it is determined that this pixel is positioned at the first collection of pixels；If at this first picture
The sample identical with above-mentioned coordinate information is not matched, it is determined that this pixel is not positioned at the first picture in the middle of element set
In element set.
Step S105, processes the pixel-parameters that this pixel is corresponding accordingly according to the first collection of pixels.
In the middle of the embodiment of the present invention, pixel-parameters corresponding to above-mentioned pixel can be the gray scale of pixel in image
Value, i.e. regulates the gray value that this pixel is corresponding accordingly according to the first collection of pixels, concrete, if
This first collection of pixels is corresponding with the finger peak in the middle of fingerprint image, then can be to the gray scale corresponding to this pixel
Value carries out reinforcement process, so that the finger peak in image becomes apparent from relative to background, fingerprint trend is brighter
Aobvious；If this first collection of pixels is corresponding with the finger paddy in the middle of fingerprint image, then can be to corresponding to this pixel
Gray value carry out weakening process, such that the finger paddy in fingerprint image is more desalinated relative to background,
Enhance the contrast of image.
Optionally, this pixel-parameters can also capacitance corresponding to this pixel, i.e. according to the first set of pixels
Close and the capacitance that this pixel is corresponding is regulated accordingly, in like manner, if this first collection of pixels and fingerprint image
As central finger peak is corresponding, then the capacitance corresponding to this pixel can be carried out reinforcement process；If this is years old
One collection of pixels is corresponding with the finger paddy in the middle of fingerprint image, then can enter the capacitance corresponding to this pixel
Row weakening processes, and generates target fingerprint image finally according to the capacitance after processing.
In embodiments of the present invention, above-mentioned according to the first collection of pixels, the pixel-parameters that pixel is corresponding is carried out phase
The step of the process answered can specifically include:
Obtain first preset value corresponding with the first collection of pixels；
According to the first preset value, the pixel-parameters that pixel is corresponding is processed.
Wherein, can also have multiple according to the mode that pixel-parameters is processed by above-mentioned preset value, such as
Element parameter is gray value, and when this gray value needs to strengthen, it can be by preset value that gray value carries out process
It is added with the former gray value of pixel, with the gray value after being processed；This preset value can also is that an enhancing
Coefficient, processes former gray value according to this enhancing coefficient, and such as this enhancing coefficient can be 1.2, can
With the gray value after former gray value is multiplied by 1.2 thus is processed.
The fingerprint image processing method that the embodiment of the present invention is provided can also include: if judging, pixel is not positioned at
In the middle of first collection of pixels, then from fingerprint image, determine the second patterned feature；
Obtain the second collection of pixels that the second patterned feature is corresponding；
Judge whether pixel is positioned at the second collection of pixels；
The most then according to the second collection of pixels, the pixel-parameters that pixel is corresponding is processed accordingly.
Such as, above-mentioned first fingerprint characteristic can be to refer to peak feature, and this second patterned feature is finger paddy feature,
If judging, pixel not in the middle of the collection of pixels referring to corresponding to peak lines, then can determine whether that this pixel is
In the middle of the no collection of pixels corresponding at finger paddy lines, the most then the pixel value of this pixel can be carried out accordingly
Process, such as, this pixel gray value in the middle of fingerprint image is weakened.
From the foregoing, it will be observed that first the embodiment of the present invention receives Image Acquisition instruction, and refer to according to above-mentioned Image Acquisition
Order obtains fingerprint image, determines the first patterned feature, obtain the first patterned feature corresponding from fingerprint image
First collection of pixels, it is judged that in fingerprint image, whether pixel is positioned at the first collection of pixels, the most then basis
The pixel-parameters that pixel is corresponding is processed by the first collection of pixels accordingly.This programme can get fingerprint
Image, and according to the position of the pixel in image, pixel-parameters is processed accordingly, to improve fingerprint
The definition of image and contrast, compared with existing fingerprint identification technology, be greatly improved the standard identifying fingerprint
Really rate.
Embodiment two,
This fingerprint image processing method will be said on the basis of embodiment one by the present embodiment further
Bright, in the middle of the present embodiment, will be with the first patterned feature for referring to peak, the second patterned feature is for referring to paddy, pixel
Parameter is to be described in detail as a example by gray value.
As it is shown on figure 3, a kind of fingerprint image processing method, may comprise steps of:
Step S201, terminal receives Image Acquisition instruction, obtains fingerprint image according to the instruction of this Image Acquisition.
Such as, in the middle of the smart mobile phone with fingerprint recognition, mobile phone when user unlocks, can be placed a finger on
Fingerprint identification module (such as home key), now mobile phone produces Image Acquisition instruction, this fingerprint identification module
Obtain the fingerprint image of user according to Image Acquisition instruction, wherein, above-mentioned fingerprint identification module can be electric capacity
Formula sensor, heat-sensitive type sensor, radio frequency sensor etc..
Step S202, terminal determines finger peak feature in the middle of fingerprint image.
Concrete, gray value in the middle of fingerprint image can be obtained and be more than the pixel of the first predetermined threshold value, above-mentioned
The lines that pixel is constituted is finger peak；Preferably, after getting fingerprint image, from above-mentioned fingerprint
Before image determines the first patterned feature, it is also possible to this image is carried out pretreatment, such as noise reduction process,
Image sharpening etc., is allowed to become apparent from, and determines finger peak feature the most again from the fingerprint image processed.
Step S203, terminal obtains and refers to the finger peak collection of pixels that peak feature is corresponding.
Concrete, the trend referring to peak can be determined according to the finger peak feature in image, obtain and refer in the middle of peak trend
Pixel, determine finger peak collection of pixels according to these pixels.
Step S204, in terminal judges fingerprint image, whether pixel is positioned at finger peak collection of pixels, the most then
Perform step S205, if it is not, then perform step S206.
Concrete, terminal can obtain the coordinate information of this pixel, is then referring to peak according to this coordinate information
Mate in the middle of collection of pixels, if matching the sample identical with above-mentioned coordinate information in this set, then
Determine that this pixel is positioned in the middle of finger peak collection of pixels；If not matching in this set and above-mentioned coordinate information phase
Same sample, it is determined that this pixel is not positioned in the middle of finger peak collection of pixels.
Step S205, the gray value that this pixel is corresponding is strengthened by terminal.
Concrete, however, it is determined that this pixel is referring in the middle of peak collection of pixels, can refer to that peak collection of pixels obtains according to this
Take reinforcement coefficient, then according to this reinforcement coefficient, the gray value of above-mentioned pixel is strengthened, so that image
In finger peak become apparent from relative to background, fingerprint trend become apparent from.
Step S206, terminal determines finger paddy feature from fingerprint image.
Such as, gray value in the middle of fingerprint image can be obtained and be less than the pixel of the second predetermined threshold value, above-mentioned picture
The lines that vegetarian refreshments is constituted is finger paddy.It should be noted that the second predetermined threshold value in this step and step
The first predetermined threshold value in the middle of S202 can be the same or different, when the first predetermined threshold value and second presets threshold
When value differs, this first predetermined threshold value is more than the second predetermined threshold value.
Step S207, terminal obtains and refers to the finger paddy collection of pixels that paddy feature is corresponding.
With reference to step S203, the trend referring to paddy can be determined according to the finger paddy feature in image, obtain and refer to that paddy walks
To central pixel, determine finger paddy collection of pixels according to these pixels.
Step S208, whether the above-mentioned pixel of terminal judges is positioned at finger paddy collection of pixels, the most then performs step
Rapid S209, if it is not, then terminate flow process.
With reference to step S204, the coordinate information of this pixel can be obtained, judge that this pixel is according to coordinate information
No in referring to paddy collection of pixels.
Step S209, the gray value that this pixel is corresponding is weakened by terminal.
Such as, can refer to that paddy collection of pixels obtains according to this and weaken coefficient, then according to this weakening coefficient to upper
The gray value stating pixel weakens, such that the finger paddy in fingerprint image is lighter relative to background
Change, enhance the contrast of image.
From the foregoing, it will be observed that the embodiment of the present invention uses terminal to receive fingerprint image obtains instruction, and according to above-mentioned figure
Obtain fingerprint image as obtaining instruction, from fingerprint image, determine finger peak feature, obtain and refer to that peak feature is corresponding
Refer to peak collection of pixels, it is judged that in fingerprint image, whether pixel is positioned at finger peak collection of pixels, the most then to this
The gray value of pixel carries out reinforcement process；If it is not, then determine finger paddy feature in the middle of fingerprint image, acquisition refers to
The finger paddy collection of pixels that paddy feature is corresponding, it is judged that whether above-mentioned pixel is positioned at finger paddy collection of pixels, if so,
Then the gray value of this pixel is carried out weakening process；This programme can get fingerprint image, and according to image
In the position of pixel the gray value of pixel is processed accordingly, to improve the definition of fingerprint image
With contrast, compared with existing fingerprint identification technology, it is greatly improved the accuracy rate identifying fingerprint.
Embodiment three,
In order to preferably implement above method, the embodiment of the present invention will provide one to refer on the basis of said method
Print image processing means, this device can integrated in the terminal, this terminal can be mobile internet device (as
Smart mobile phone, panel computer) etc. comprise the electronic equipment of fingerprint identification function.As shown in Figure 4, this fingerprint
Image processing apparatus includes: image collection module 301, fisrt feature determine that module 302, first is gathered and obtain
Module the 303, first judge module 304 and the first processing module 305 are as follows:
This image collection module 301, is used for receiving Image Acquisition instruction, and obtains according to Image Acquisition instruction
Fingerprint image；
This fisrt feature determines module 302, for determining the first patterned feature from fingerprint image；
This first set acquisition module 303, for obtaining the first collection of pixels that the first patterned feature is corresponding；
This first judge module 304, is used for judging in fingerprint image, whether pixel is positioned at the first collection of pixels；
This first processing module 305, for when the first judge module 304 is judged as YES, according to the first pixel
The pixel-parameters that pixel is corresponding is processed by set accordingly.
Preferably, as it is shown in figure 5, the device that the present embodiment provides can also include: second feature determines mould
Block 306, second gathers acquisition module the 307, second judge module 308 and the second processing module 309；
This second feature determines module 306, for when first judges that mould 304 pieces is judged as NO, from fingerprint image
The second patterned feature is determined in Xiang；
This second set acquisition module 307, for obtaining the second collection of pixels that the second patterned feature is corresponding；
This second judge module 308, is used for judging whether pixel is positioned at the second collection of pixels；
This second processing module 309, for when the second judge module 309 is judged as YES, according to the second pixel
The pixel-parameters that pixel is corresponding is processed by set accordingly.
Further, in embodiments of the present invention, the first processing module 305 can specifically include: obtains son
Module and process submodule；
This acquisition submodule, for obtaining first preset value corresponding with the first collection of pixels；
This process submodule, for processing the pixel-parameters that pixel is corresponding according to the first preset value.
First set acquisition module 303 can specifically include: trend determines that submodule, pixel obtain submodule
Submodule is determined with set；
This trend determines submodule, for determining the first lines trend according to the first patterned feature；
This pixel obtains submodule, obtains the pixel being positioned in the middle of fingerprint image in the first lines trend；
This set determines submodule, for determining the first set of pixels according to the pixel being positioned in the first fingerprint trend
Close.
First judge module 304 can specifically include: position acquisition submodule, judges submodule and determines
Submodule；
This position acquisition submodule, for obtaining the positional information of pixel in fingerprint image；
This judgement submodule, for judging whether to exist the sample identical with positional information in the first collection of pixels
This；
This determines submodule, for when judging that submodule is judged as YES, determines that pixel is positioned at the first set of pixels
In closing.
From the foregoing, it will be observed that the embodiment of the present invention uses image collection module 301 to receive Image Acquisition instruction, and root
Obtaining fingerprint image according to the instruction of above-mentioned Image Acquisition, fisrt feature determines that module 302 determines from fingerprint image
First patterned feature, the first set acquisition module 303 obtains the first collection of pixels that the first patterned feature is corresponding,
First judge module 304 judges in fingerprint image whether pixel is positioned at the first collection of pixels, the most then by
The pixel-parameters that pixel is corresponding is processed accordingly by the first processing module 305 according to the first collection of pixels.
This programme can get fingerprint image, and according to the position of the pixel in image, pixel-parameters is carried out phase
The process answered, to improve definition and the contrast of fingerprint image, compared with existing fingerprint identification technology, greatly
Improve greatly the accuracy rate identifying fingerprint.
When being embodied as, above modules can realize as independent entity, it is also possible to carries out arbitrarily
Combination, realizes as same or several entities, and being embodied as of above modules can be found in above
Embodiment of the method, does not repeats them here.
It should be noted that one of ordinary skill in the art will appreciate that in the various methods of above-described embodiment
All or part of step can be by program and completes to instruct relevant hardware, and this program can be stored in
In computer-readable recording medium, as being stored in the memorizer of terminal, and by least one in this terminal
Processor performs, and can include the flow process of the embodiment such as information issuing method in the process of implementation.Wherein, deposit
Storage media may include that read only memory (ROM, Read Only Memory), random access memory
(RAM, Random Access Memory), disk or CD etc..
A kind of fingerprint image treating method and apparatus provided the embodiment of the present invention above has carried out detailed Jie
Continuing, its each functional module can be integrated in one and process in chip, it is also possible to be that the independent physics of modules is deposited
, it is also possible to two or more modules are integrated in a module.Above-mentioned integrated module both can be adopted
Realize by the form of hardware, it would however also be possible to employ the form of software function module realizes.Used herein specifically
Principle and the embodiment of the present invention are set forth by individual example, and the explanation of above example is only intended to help
Understand method and the core concept thereof of the present invention；Simultaneously for those skilled in the art, according to the present invention
Thought, the most all will change, in sum, this specification
Content should not be construed as limitation of the present invention.
Claims (10)
1. a fingerprint image processing method, it is characterised in that comprise the following steps:
Reception Image Acquisition instructs, and obtains fingerprint image according to the instruction of described Image Acquisition；
The first patterned feature is determined from described fingerprint image；
Obtain the first collection of pixels that described first patterned feature is corresponding；
Judge in described fingerprint image, whether pixel is positioned at described first collection of pixels；
The most then according to described first collection of pixels, the pixel-parameters that described pixel is corresponding is located accordingly
Reason.
2. processing method as claimed in claim 1, it is characterised in that described method also includes:
If judging, described pixel is not positioned in the middle of described first collection of pixels, then determine from described fingerprint image
Second patterned feature；
Obtain the second collection of pixels that described second patterned feature is corresponding；
Judge whether described pixel is positioned at described second collection of pixels；
The most then according to described second collection of pixels, the pixel-parameters that described pixel is corresponding is located accordingly
Reason.
3. processing method as claimed in claim 1, it is characterised in that described according to described first set of pixels
Close the step that the pixel-parameters that described pixel is corresponding is processed accordingly to specifically include:
Obtain first preset value corresponding with described first collection of pixels；
According to described first preset value, the pixel-parameters that described pixel is corresponding is processed.
4. processing method as claimed in claim 1, it is characterised in that described first lines of described acquisition is special
The step of the first collection of pixels levying correspondence specifically includes:
The first lines trend is determined according to described first patterned feature；
Obtain the pixel being positioned in the middle of described fingerprint image in described first lines trend；
The first collection of pixels is determined according to the described pixel being positioned in the first fingerprint trend.
5. processing method as claimed in claim 1, it is characterised in that in the described fingerprint image of described judgement
Whether pixel is positioned at the step of described first collection of pixels specifically includes:
Obtain the positional information of pixel in described fingerprint image；
Judge whether there is the sample identical with described positional information in described first collection of pixels；
If, it is determined that described pixel is positioned at described first collection of pixels.
6. a fingerprint image processing means, it is characterised in that including: image collection module, the first spy
Levy and determine module, the first set acquisition module, the first judge module and the first processing module；
Described image collection module, is used for receiving Image Acquisition instruction, and obtains according to the instruction of described Image Acquisition
Print image；
Described fisrt feature determines module, for determining the first patterned feature from described fingerprint image；
Described first set acquisition module, for obtaining the first set of pixels that described first patterned feature is corresponding
Close；
Described first judge module, is used for judging in described fingerprint image, whether pixel is positioned at described first pixel
In set；
Described first processing module, for when described first judge module is judged as YES, according to described first
The pixel-parameters that described pixel is corresponding is processed by collection of pixels accordingly.
7. fingerprint image processing means as claimed in claim 6, it is characterised in that described device also includes:
Second feature determines module, the second set acquisition module, the second judge module and the second processing module；
Described second feature determines module, for when described first judge module is judged as NO, from described finger
Print image determines the second patterned feature；
Described second set acquisition module, for obtaining the second set of pixels that described second patterned feature is corresponding
Close；
Described second judge module, is used for judging whether described pixel is positioned at described second collection of pixels；
Described second processing module, for when described second judge module is judged as YES, according to described second
The pixel-parameters that described pixel is corresponding is processed by collection of pixels accordingly.
8. fingerprint image processing means as claimed in claim 6, it is characterised in that described first processes mould
Block specifically includes: obtains submodule and processes submodule；
Described acquisition submodule, for obtaining first preset value corresponding with described first collection of pixels；
Described process submodule, for entering the pixel-parameters that described pixel is corresponding according to described first preset value
Row processes.
9. fingerprint image processing means as claimed in claim 6, it is characterised in that described first set obtains
Delivery block specifically includes: trend determines that submodule, pixel obtain submodule and set determines submodule；
Described trend determines submodule, for determining the first lines trend according to described first patterned feature；
Described pixel obtains submodule, obtains and is positioned in the middle of described fingerprint image in described first lines trend
Pixel；
Described set determines submodule, determines first for the pixel being positioned in the first fingerprint trend described in basis
Collection of pixels.
10. fingerprint image processing means as claimed in claim 6, it is characterised in that described first judges
Module specifically includes: position acquisition submodule, judges submodule and determines submodule；
Described position acquisition submodule, for obtaining the positional information of pixel in described fingerprint image；
Whether described judgement submodule, for judging to exist in described first collection of pixels to believe with described position
The sample that manner of breathing is same；
Described determine submodule, for when described judgement submodule is judged as YES, determine that described pixel is positioned at
In described first collection of pixels.
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