CN110390270A - Optical finger print recognition methods, device, electronic equipment and storage medium - Google Patents
Optical finger print recognition methods, device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN110390270A CN110390270A CN201910565827.XA CN201910565827A CN110390270A CN 110390270 A CN110390270 A CN 110390270A CN 201910565827 A CN201910565827 A CN 201910565827A CN 110390270 A CN110390270 A CN 110390270A
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- China
- Prior art keywords
- hot spot
- light source
- fingerprint
- fingerprint image
- brightness
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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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
- G06V40/1324—Sensors therefor by using geometrical optics, e.g. using prisms
-
- 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
Abstract
Disclose a kind of optical finger print recognition methods, comprising: generate the hot spot of irradiation finger；Fingerprint image is formed according to the reflected light of the finger surface；Fingerprint recognition is carried out according to the fingerprint image, wherein the hot spot is the non-uniform hot spot of Luminance Distribution, is used for compensating image deviation.The hot spot of optical finger print recognition methods disclosed by the invention, generation is distributed with uneven brightness, which optimizes by iterative algorithm, so that the fingerprint image brightness uniformity obtained, picture are clear.
Description
Technical field
The present invention relates to field of display technology, in particular to a kind of optical finger print recognition methods, device, electronic equipment and deposit
Storage media.
Background technique
Fingerprint identification technology is to acquire somatic fingerprint image by fingerprint sensor, the fingerprint image then stored with system
As comparing, to discriminate one's identification.
Compared to ordinary screen, the visual effect shielded comprehensively has more high impact forces, and the display effect being more pleasantly surprised is more frightened
Gorgeous display effect becomes the new lover of intelligent display terminal.Shielding lower fingerprint identification technology facilitates manufacturer in design screen comprehensively
Accomplish higher screen accounting, it is not necessary to reserve certain space for fingerprint module, therefore become research and development focus.
Under screen in fingerprint identification technology, need by Organic Light Emitting Diode as light source, and pickup area makes mostly
Fingerprint is acquired with uniform round pure color hot spot, as shown in Figure 1.But due to optical imaging lens, cause to acquire
Image it is uneven, as shown in Fig. 2, fingerprint image may because of central part overexposure, marginal portion it is under-exposed and
Make the problems such as fingerprint image quality of acquisition is poor, finger print information is lost.
Summary of the invention
In view of the above problems, the purpose of the present invention is to provide a kind of optical finger print recognition methods and device, pass through algorithm
The Luminance Distribution for optimizing hot spot, so that the fingerprint image brightness uniformity formed after lens focus, finger print information are clear.
According to an aspect of the present invention, a kind of optical finger print recognition methods is provided, comprising: generate the hot spot of irradiation finger；
Fingerprint image is formed according to the reflected light of the finger surface；Fingerprint recognition is carried out according to the fingerprint image, wherein the light
Spot is the non-uniform hot spot of Luminance Distribution, is used for compensating image deviation.
Optionally, the luminance deviation phase each other in the brightness irregularities distribution of the hot spot, with the imaging imaging process
Instead.
Optionally, the hot spot is formed using multiple pixel light source luminescents, using iterative optimization method or Gaussian function numerical control
The brightness of the multiple pixel light source is made, to realize non-uniform Luminance Distribution.
Optionally, the Luminance Distribution of the hot spot is set using the inverted Gaussian function.
Optionally, the shape of the hot spot includes: circle, triangle, any one in quadrangle.
According to another aspect of the present invention, a kind of optical fingerprint identification device is provided, comprising: light source, for generating irradiation
Hot spot on finger surface；And acquisition unit, for obtaining fingerprint image according to the reflected light of the finger surface,
In, the light source generates the hot spot of uneven brightness distribution, to compensate the imaging deviation of the acquisition unit.
Optionally, the acquisition unit includes imaging len and sensor, and the reflected light is arrived via the imaging len
Up to sensor, with the image after being assembled.
Optionally, the brightness irregularities distribution of the light source, and the aggregation imaging deviation of the imaging len are opposite each other.
Optionally, the shape of the hot spot includes: circle, triangle, any one in quadrangle.
Optionally, the light source forms the hot spot using multiple pixel light source luminescents, using iterative optimization method or height
This function controls the brightness of the multiple pixel light source, to realize non-uniform Luminance Distribution.
Optionally, the optical fingerprint identification device further include: recognition unit, for being referred to according to the fingerprint image
Line identification.
Optionally, the light source includes: Organic Light Emitting Diode (OLED).
According to another aspect of the invention, a kind of electronic equipment is provided, the electronic equipment includes optical finger print above-mentioned
Identification device.
Optionally, the electronic equipment includes mobile phone, wrist-watch, smart lock.
In accordance with a further aspect of the present invention, a kind of storage medium is provided, the storage medium includes the program of storage,
In, equipment executes optical finger print recognition methods above-mentioned described program controls the storage medium when running where.
Optical finger print recognition methods provided by the invention, the Luminance Distribution of hot spot are uneven after using algorithm optimization
Distribution, can also be uneven using the Luminance Distribution of inverted Gaussian function setting hot spot, to compensate the imaging deviation of lens, this
The fingerprint image brightness uniformity that the light source of sample forms reflected light after lens focus, finger print information are clear.
Detailed description of the invention
By referring to the drawings to the description of the embodiment of the present invention, above-mentioned and other purposes of the invention, feature and
Advantage will be apparent from, in the accompanying drawings:
Fig. 1 shows the hot spot Luminance Distribution of the optical fingerprint identification device of the prior art；
Fig. 2 shows the fingerprint images of the optical fingerprint identification device of prior art acquisition；
Fig. 3 shows the flow chart of optical finger print recognition methods of the present invention；
Fig. 4 shows the device figure of optical finger print identification of the present invention；
Fig. 5 shows a kind of equipment drawing of optical fingerprint identification device of the present invention；
Fig. 6 shows a kind of hot spot intensity map that light source of the present invention generates；
Fig. 7 shows a kind of Luminance Distribution schematic diagram of hot spot of the present invention；
Fig. 8 shows the fingerprint image of optical fingerprint identification device acquisition of the present invention.
Specific embodiment
The various embodiments that the present invention will be described in more detail that hereinafter reference will be made to the drawings.In various figures, identical element
It is indicated using same or similar appended drawing reference.For the sake of clarity, the various pieces in attached drawing are not necessarily to scale.
In the description of the present invention, it should be noted that term " center ", "upper", "vertical", "horizontal", "inner", "outside"
The orientation or positional relationship of equal instructions is to be based on the orientation or positional relationship shown in the drawings or when invention product uses is used
The orientation or positional relationship often put, is merely for convenience of description of the present invention and simplification of the description, rather than indication or suggestion is signified
Device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as to the present invention
Limitation.In addition, term " first ", " second " etc. are only used for distinguishing description, it is not understood to indicate or imply relatively important
Property.
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.
As made in the background art, with the arrival in comprehensive screen epoch, optical fingerprint identification device technology becomes comprehensive
How one of technological difficulties of screen conveniently and efficiently realize that optical fingerprint identification device function becomes comprehensive screen epoch all terminals
Device fabrication enterprise problem in the urgent need to address.
The present invention provides a kind of optical finger print identification sides suitable for OLED organic light emission screen and TFT-LCD screen
Method, the method for specifically disclosing hot spot Luminance Distribution in optical finger print recognition methods show as pickup area light when fingerprint recognition
The Luminance Distribution of spot, the present invention can make the fingerprint image brightness uniformity of acquisition, and image clearly has clearly finger print information.
Fig. 3 shows the flow chart of optical finger print recognition methods of the present invention, comprising:
Step S201: the hot spot of irradiation finger is generated.
When carrying out fingerprint recognition, the luminescent layer in bright light source is put, hot spot is formed, there is incident ray in hot spot.Point
When light spot, other regions of OLED organic light emission screen can according to need selection and light or not light.Such as it can be
Hot spot is only lighted under OLED organic light emission screen black state, light can also be put under the bright screen state of OLED organic light emission screen
Spot.
Hot spot is the hot spot of uneven brightness distribution, and for compensating lens imaging deviation, also, the brightness change of hot spot is flat
It is slow.The Luminance Distribution of the hot spot can be arranged according to iteration optimization algorithms or Gaussian function, can also be according to other methods
To keep the Luminance Distribution of hot spot uneven.
Step S202: fingerprint image is formed according to the reflected light of finger surface.
After hot spot is lighted, incident ray is issued to the side for having user's finger, light occurs instead after reaching finger surface
It penetrates, reflection light reaches acquisition unit after passing through pixel pitch, and acquisition unit forms fingerprint image, Huo Zhegen after receiving reflected light
Electrical signal data is converted into according to fingerprint image and obtains finger print information.
Acquisition unit can identify which reflection light is contacted with the ridge of fingerprint according to total reflection principle, which reflection light
It is contacted with the paddy of fingerprint.Specifically, the ridge of fingerprint is contacted with the surface of screen on the surface of screen, and the paddy of fingerprint not with screen
The surface contact of curtain.When incident ray is pointed into the paddy of fingerprint, reflected on the surface that screen is contacted with air, acquisition unit
Receive stronger reflection light.When incident ray is pointed into the ridge of fingerprint, reflected on the surface that screen is contacted with finger,
Acquisition unit receives weaker reflection light.Acquisition unit can form fingerprint image according to the strong and weak of the reflection light received
Picture, or electrical signal data is converted into according to fingerprint image and obtains finger print information.
Step S203: fingerprint recognition is carried out according to fingerprint image.
Include some characteristic informations in fingerprint image, fingerprint recognition can be carried out according to these characteristic informations.By fingerprint image
As being matched with preset fingerprint template, according to matching result to determine whether can carry out in next step.Or according to fingerprint
Information matches fingerprint.
In matching, need to be arranged a matching threshold, when fingerprint image and preset fingerprint template carry out matched knot
When fruit is more than or equal to matching threshold, fingerprint recognition passes through.When fingerprint image and the matched result of preset fingerprint template progress are small
When matching threshold, fingerprint recognition does not pass through.
Fig. 4 shows the device figure of optical finger print identification of the present invention.
As shown, optical fingerprint identification device 100 includes light source 120, acquisition unit 130 and recognition unit 140.
Light source 120 is for generating the hot spot for being radiated at finger surface.The brightness for the hot spot that light source 120 is formed has from center
The variation of hot spot can be arranged in the feature gradually changed to edge according to iteration optimization algorithms or Gaussian function, allow hot spot
Brightness has non-uniform distribution, and to compensate the deviation in lens imaging, those skilled in the art can also be reached using other methods
To identical effect.This is because the light emitting source that OLED organic light emission screen uses is organic electroluminescence diode, this is a kind of picture
Plain grade light source, hot spot are formed by multiple pixel light source luminescents, can be by adjusting each pixel light source in multiple pixel light sources
Brightness makes hot spot reach non-uniform Luminance Distribution effect.In multiple pixel light sources, also there is pixel pitch between adjacent pixel,
Light, which is irradiated to the reflection light after finger surface and passes through pixel pitch, reaches acquisition unit 130.
Make hot spot that there is non-uniform Luminance Distribution, such as the light transmission of the light transmitting sheet on adjusting pixel light source can be passed through
Rate or tilt angle, can also be by the current or voltage of adjusting pixel light source, so that hot spot be made to reach said effect.
The shape for the hot spot that light source 120 is formed can be circle, and rectangular, the arbitrary shapes such as triangle, size, color can also
To be arbitrary, the present invention is without limitation.
Acquisition unit 130 forms fingerprint image for reflection light based on the received.Specifically, acquisition unit 130 includes
Imaging len and sensor.
Imaging len, for converging reflection light.Imaging len is that a center is thicker, the relatively thin convex lens in edge,
The parallel rays for being parallel to primary optical axis can be concentrated on the focal point of convex lens by it.Therefore, the reflection of carrier's finger print information
Light can become the light of illuminance distribution after lens from original uneven distribution.
Sensor receives the reflected light of finger surface, forms fingerprint image.Sensor is optical sensor, in fingerprint
Crestal line and the light that is reflected of the different locations such as valley line, brightness reflection of different strengths and weaknesses can be generated because reflection position is different
Situation, therefore the reflected light that sensor obtains can form fingerprint image because of different strong and weak reflection cases.
It further include optical filter in acquisition unit 130, for being filtered to the light that imaging len converges.Optical filter can be with
The light for absorbing certain wavelength, through the light of other wavelength.Because may include external environment in the light of lens convergence
Light or other interference lights are filtered light by optical filter, the fingerprint image to be formed can be made to be more clear.
Recognition unit 140 matches the fingerprint image formed in sensor with preset fingerprint template, is referred to realizing
Line unlock or other purposes.
When identification, can by the characteristic information in fingerprint image compared with the characteristic information in default template carries out matching,
When matching rate is more than or equal to matching threshold, fingerprint recognition passes through, and when matching rate is less than matching threshold, fingerprint recognition is obstructed
It crosses.
Fig. 5 shows a kind of equipment drawing of optical fingerprint identification device of the present invention, and the present invention is not limited thereto, optical finger print
Identification device, which can also be, may be implemented other structures of the invention.
As shown, in the device, including light source 220, acquisition module 230 and identification module 240.Acquisition module 230
It is located at the side of the separate finger 210 of light source 220 with identification module 240, identification module 240 is connect with acquisition module 230.
Light source 220 includes up-protective layer 221 and lower protective layer 223 and luminescent layer 222.Up-protective layer 221 and lower protection
Layer 223 is for protecting luminescent layer 222, and at least up-protective layer 221 is Transparent color, facilitates light to pass through, lower protective layer corresponds to
The part of acquisition module 230 has window 2231, and reflection light is facilitated to reach acquisition module 230.Luminescent layer 222 is for generating photograph
Shooter refers to 210 hot spot, between up-protective layer 221 and lower protective layer 223, including pixel light emission layer 2221 and pixel pitch
2222。
Acquisition module 230 includes lens 231, and the optical filter 232 positioned at lens 231 far from 2231 side of window is located at filter
Sensor 233 of the mating plate 232 far from 231 side of lens.Lens 231 are located at 2231 lower section of window, for converging across window
The reflection light of 2231 reflection light, 232 pairs of optical filter convergences is filtered, and sensor 233 receives filtered reflected light,
And fingerprint image is formed accordingly.
Identification module 240 is connect with acquisition module 230, can be in the lower section or side of acquisition module, and identification module 240
Fingerprint matching is carried out according to the fingerprint image that sensor 233 is formed.
In fingerprint recognition, the light that luminescent layer 222 issues is pointed into finger, and contacted in finger with up-protective layer 221
Surface is reflected, and reflection light passes through pixel pitch 2222 and window 2231 reaches acquisition module 230, wherein lens 231 are right
Reflected light is converged, and optical filter filters to the reflected light after convergence, and sensor is referred to by the reflected light formation after filtering
Print image, and it is passed along identification module 240, identification module 240 matches fingerprint image with default template, and judges to know
Whether do not pass through.Wherein, the arrow in Fig. 5 indicates the direction of propagation of light.
Fig. 6 shows a kind of hot spot intensity map that light source of the present invention generates, and Fig. 7 shows one kind of hot spot of the present invention
Luminance Distribution schematic diagram.
Acquisition unit 130 uses the principle of lens imaging, and uniform reflected light will lead to light after lens and become
Non-uniform distribution, such as intermediate bright, the dark Luminance Distribution in edge, so that the fingerprint image of acquisition is unintelligible.In addition, by
It is Pixel-level light source in light source, compensating image deviation can be carried out by adjusting the Luminance Distribution of hot spot.Therefore the present invention is according to thoroughly
The principle of mirror imaging, the Luminance Distribution for adjusting hot spot is that can compensate the uneven distribution of lens imaging deviation, so that reflected light
The brightness uniformity after lens.
In the hot spot of use, brightness is distributed as uneven distribution, specifically, can be to be intermediate dark, edge is bright, such as Fig. 6
Shown, such reflected light due to lens focus, can make among the image to be formed after lens and edge is bright
Poor very little is spent, the quality of image is high, and clarity is good.
Make hot spot that there is non-uniform Luminance Distribution, iteration optimization algorithms can be used, comprising:
(1) M fingerprint image acquisition is carried out using the hot spot that Luminance Distribution is s (x, y).
(2) the average brightness Distribution Value i (x, y) of the fingerprint image of M acquisition is calculated.
(3) updating hot spot Luminance Distribution according to the average brightness Distribution Value i (x, y) of image is
S ' (x, y)=s (x, y)-λ i (x, y),
Wherein, λ is to update coefficient, can take suitable value by experiment.
(4) s (x, y)=s ' (x, y) is enabled, is repeated step (1), until the variation of s (x, y) is less than threshold value e or iteration time
Number is more than that preset value N stops.
(5) s (x, y) obtained is the optimal Luminance Distribution of hot spot.
By iteration optimization algorithms, the Luminance Distribution of hot spot can be optimized to the greatest extent, it is excellent when carrying out fingerprint collecting
Hot spot after change can collect the smallest fingerprint image of error, improve the success rate of fingerprint recognition.
In alternate embodiments, to make the Luminance Distribution of hot spot intermediate dark, edge is bright, can also be according to Gaussian function
Distribution be arranged, as shown in Figure 7.On figure, the distribution of the Gaussian function of use is a kind of bell curve, in
The heart, value is bigger, and further away from center, value is smaller.Hot spot takes inverted Gaussian function, during the hot spot being arranged so not only has
Between dark, the bright Luminance Distribution feature in edge, and the brightness change in hot spot is gentle.
In embodiments of the present invention, the Luminance Distribution uneven distribution that make hot spot, not only can be according to iteration optimization
Algorithm and Gaussian function are arranged, and those skilled in the art can also use other methods reach identical effect.
Fig. 8 shows the fingerprint image of optical fingerprint identification device acquisition of the present invention, as shown, can be according to fingerprint image
As clearly telling crestal line and the other informations such as valley line and bifurcated in fingerprint.This is because in hot spot brightness distribution
For the uneven distribution that can compensate lens imaging deviation, in reflected light after the focusing of lens, so that original non-uniform
Light becomes the light of brightness uniformity, therefore the image acquired is not only clear, but also finger print information is obvious.
Optical fingerprint identification device of the invention, be suitable for various terminals, for example, mobile phone, plate, computer, wrist-watch,
Smart lock etc..
It is as described above according to the embodiment of the present invention, these embodiments details all there is no detailed descriptionthe, also not
Limiting the invention is only the specific embodiment.Obviously, as described above, can make many modifications and variations.This explanation
These embodiments are chosen and specifically described to book, is principle and practical application in order to better explain the present invention, thus belonging to making
Technical field technical staff can be used using modification of the invention and on the basis of the present invention well.The present invention is only by right
The limitation of claim and its full scope and equivalent.
Claims (15)
1. a kind of optical finger print recognition methods characterized by comprising
Generate the hot spot of irradiation finger；
Fingerprint image is formed according to the reflected light of the finger surface；
Fingerprint recognition is carried out according to the fingerprint image,
Wherein, the hot spot is the non-uniform hot spot of Luminance Distribution, is used for compensating image deviation.
2. the method according to claim 1, wherein the brightness irregularities of the hot spot are distributed, with the imaging
Luminance deviation in the process is opposite each other.
3. being adopted the method according to claim 1, wherein forming the hot spot using multiple pixel light source luminescents
The brightness of the multiple pixel light source is controlled, with iterative optimization method or Gaussian function to realize non-uniform Luminance Distribution.
4. according to the method described in claim 3, it is characterized in that, the hot spot is arranged using the inverted Gaussian function
Luminance Distribution.
5. the method according to claim 1, wherein the shape of the hot spot includes: circle, triangle, four sides
Any one in shape.
6. a kind of optical fingerprint identification device characterized by comprising
Light source, for generating the hot spot being radiated on finger surface；And
Acquisition unit, for obtaining fingerprint image according to the reflected light of the finger surface,
Wherein, the light source generates the hot spot of uneven brightness distribution, to compensate the imaging deviation of the acquisition unit.
7. device according to claim 6, which is characterized in that the acquisition unit includes imaging len and sensor, institute
It states reflected light and reaches sensor via the imaging len, with the image after being assembled.
8. device according to claim 6, which is characterized in that the brightness irregularities of the light source are distributed, with the imaging
The aggregation imaging deviation of lens is opposite each other.
9. device according to claim 6, which is characterized in that the shape of the hot spot includes: circle, triangle, four sides
Any one in shape.
10. device according to claim 6, which is characterized in that the light source forms institute using multiple pixel light source luminescents
Hot spot is stated, the brightness of the multiple pixel light source is controlled using iterative optimization method or Gaussian function, it is non-uniform bright to realize
Degree distribution.
11. device according to claim 6, which is characterized in that further include: recognition unit, for according to the fingerprint image
As carrying out fingerprint recognition.
12. device according to claim 6, which is characterized in that the light source includes: Organic Light Emitting Diode (OLED).
13. a kind of electronic equipment, which is characterized in that the electronic equipment includes optics described in any one of claim 6-12
Fingerprint identification device.
14. electronic equipment according to claim 13, which is characterized in that the electronic equipment includes mobile phone, wrist-watch, intelligence
Lock.
15. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein when described program is run
Equipment perform claim where controlling the storage medium requires optical finger print recognition methods described in any one of 1-5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910565827.XA CN110390270A (en) | 2019-06-27 | 2019-06-27 | Optical finger print recognition methods, device, electronic equipment and storage medium |
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| CN201910565827.XA CN110390270A (en) | 2019-06-27 | 2019-06-27 | Optical finger print recognition methods, device, electronic equipment and storage medium |
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| CN113642370A (en) * | 2020-05-11 | 2021-11-12 | 上海耕岩智能科技有限公司 | Fingerprint imaging apparatus and fingerprint imaging method |
| CN113778274A (en) * | 2021-06-15 | 2021-12-10 | 荣耀终端有限公司 | Light spot display method and device |
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| CN102073860A (en) * | 2010-12-06 | 2011-05-25 | 清华大学 | Optical fingerprint acquisition device, optical fingerprint identification system and method |
| CN109154959A (en) * | 2017-05-17 | 2019-01-04 | 深圳市汇顶科技股份有限公司 | Optical fingerprint sensor with non-contact imaging capability |
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Application publication date: 20191029 |