CN108734076A - Fingerprint identification device and fingerprint identification method - Google Patents

Fingerprint identification device and fingerprint identification method Download PDF

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Publication number
CN108734076A
CN108734076A CN201711167931.0A CN201711167931A CN108734076A CN 108734076 A CN108734076 A CN 108734076A CN 201711167931 A CN201711167931 A CN 201711167931A CN 108734076 A CN108734076 A CN 108734076A
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Prior art keywords
fingerprint
pixel
image
fingerprint identification
processor
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洪浚郎
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Gingy Technology Inc
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Gingy Technology Inc
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Priority to US15/942,441 priority Critical patent/US10216978B2/en
Publication of CN108734076A publication Critical patent/CN108734076A/en
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    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L27/00Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate
    • H01L27/14Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation
    • H01L27/144Devices controlled by radiation
    • H01L27/146Imager structures
    • H01L27/14601Structural or functional details thereof
    • H01L27/14618Containers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L27/00Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate
    • H01L27/14Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation
    • H01L27/144Devices controlled by radiation
    • H01L27/146Imager structures
    • H01L27/14601Structural or functional details thereof
    • H01L27/14636Interconnect structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1318Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1382Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50Maintenance of biometric data or enrolment thereof
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L27/00Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate
    • H01L27/14Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation
    • H01L27/144Devices controlled by radiation
    • H01L27/146Imager structures
    • H01L27/14601Structural or functional details thereof
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L27/00Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate
    • H01L27/14Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation
    • H01L27/144Devices controlled by radiation
    • H01L27/146Imager structures
    • H01L27/14601Structural or functional details thereof
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    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
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    • H01L27/14Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation
    • H01L27/144Devices controlled by radiation
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    • H01ELECTRIC ELEMENTS
    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
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    • H01L27/14Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation
    • H01L27/144Devices controlled by radiation
    • H01L27/146Imager structures
    • H01L27/14683Processes or apparatus peculiar to the manufacture or treatment of these devices or parts thereof
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    • H01LSEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
    • H01L27/00Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate
    • H01L27/14Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including semiconductor components sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation and specially adapted either for the conversion of the energy of such radiation into electrical energy or for the control of electrical energy by such radiation
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    • H01L27/148Charge coupled imagers
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1341Sensing with light passing through the finger
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14Vascular patterns

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Abstract

A kind of fingerprint identification device of present invention proposition includes light source, processor and optical receiver.The light source is for emitting light to object.The processor couples the light source.The optical receiver couples the processor.The optical receiver is for capturing object image of the object in time interval.The processor analyzes the object image to obtain fingerprint image, and the processor carries out fingerprint recognition operation to obtain fingerprint recognition result to the fingerprint image.The processor further analyzes the object image and changes data to obtain pixel of the object image in the time interval, and the processor determines whether the fingerprint image passes through verification according to the fingerprint recognition result and pixel variation data.In addition, the present invention also proposes a kind of fingerprint identification method.

Description

Fingerprint identification device and fingerprint identification method
Technical field
The present invention relates to a kind of identification technologies, and more particularly to a kind of fingerprint identification device and fingerprint identification method.
Background technology
The type of bio-identification includes face, sound, iris, retina, vein and fingerprint recognition etc..Due to everyone Fingerprint is all unique, and fingerprint is not easy to change with age or physical condition, therefore fingerprint identification device is As a kind of current most popular biological recognition system.According to the difference of sensing mode, fingerprint identification device can also be divided into optics Formula, condenser type, Supersonic waves and thermal-induction type etc..
However, since traditional fingerprint identification device can not effectively distinguish true from false finger(Live body or non-living body)Difference, Therefore lead to the forgery finger for usually having criminal that can use silica gel material, and on the forgery finger that silica gel material makes It is quasi- really to have fingerprint and pore.In this way, being pressed in fingerprint recognition with the forgery finger with silica gel characteristic and with fingerprint, pore After device, it can so that forging finger equally has the fingers deformed flow characteristic after pressing and fingerprint, pore characteristic come fingerprint of out-tricking Identification device, and then it is to be pressed by the finger of live body, thus cause to know to cause fingerprint identification device not identify whether correctly Loophole on not.Therefore, the present invention will propose the solution of several embodiments below.
Invention content
A kind of fingerprint identification device of present invention offer and fingerprint identification method can provide good fingerprint identification function, and And it can effectively avoid forgery finger and pass through verification.
The fingerprint identification device of the present invention includes light source, processor and optical receiver.The light source is for emitting light To object.The optical receiver couples the processor.The optical receiver is for capturing the object in time interval Object image.The processor analyzes the object image to obtain fingerprint image, and the processor is to the fingerprint image As carrying out fingerprint recognition operation to obtain fingerprint recognition result.The processor further analyzes the object image to obtain State object image in the time interval pixel variation data, and the processor according to the fingerprint recognition result with And the pixel changes data to determine whether the fingerprint image passes through verification.
In one embodiment of the invention, above-mentioned fingerprint identification device further includes touch sensing.The touch-control passes Sensor couples the processor.The touch sensing for sense the object whether be placed on the touch sensing with Sensing signal is exported to the processor.The processor decides whether to drive the light source according to the sensing signal, with The light source is set to emit the light.
In one embodiment of the invention, the light of above-mentioned light source transmitting is single wavelength light or more Weight wavelength light.
In one embodiment of the invention, the object image that the above-mentioned optical receiver captures includes multiple objects Part image.The processor selects one of the multiple object image to be analyzed to obtain the fingerprint image.
In one embodiment of the invention, the object image that the above-mentioned optical receiver captures includes multiple objects Part image.At least part block of each that the processor analyzes the multiple object image respectively is corresponded to obtaining Multiple pixel informations of the multiple object image in the time interval.The processor counts the multiple pixel information Change data to obtain the pixel.
In one embodiment of the invention, above-mentioned the multiple pixel information is respectively the multiple object image Total red pixel value of at least part block of each.
In one embodiment of the invention, above-mentioned the multiple pixel information is respectively the multiple object image The red pixel data of at least part block of each, the operation result of green pixel data and blue pixel data.
In one embodiment of the invention, it is described to judge to analyze the pixel variation data for the above-mentioned processor Whether the pixel value in pixel variation data is cyclically-varying in the time interval.
In one embodiment of the invention, above-mentioned when processor judges the pixel in the pixel variation data When value is cyclically-varying in the time interval, the processor is further according to the pixel value in the time interval In cyclically-varying result generate heartbeat message.
The fingerprint identification method of the present invention is suitable for fingerprint identification device.The fingerprint identification method includes the following steps: By source emissioning light line to object;Object image of the object in time interval is captured by optical receiver;Analysis institute Object image is stated to obtain fingerprint image, and fingerprint recognition operation is carried out to obtain fingerprint recognition knot to the fingerprint image Fruit;It further analyzes the object image and changes data to obtain pixel of the object image in the time interval;With And judge whether the fingerprint image passes through verification according to the fingerprint recognition result and pixel variation data.
In one embodiment of the invention, above-mentioned fingerprint identification method further includes:Institute is sensed by touch sensing State whether object is placed on the touch sensing to export sensing signal;And decided whether according to the sensing signal The light source is driven, so that the light source emits the light.
In one embodiment of the invention, the light of above-mentioned light source transmitting is single wavelength light or more Weight wavelength light.
In one embodiment of the invention, the object image that the above-mentioned optical receiver captures includes multiple objects Part image, and analyze the step of object image is to obtain the fingerprint image and include:Select the multiple object image One of analyzed to obtain the fingerprint image.
In one embodiment of the invention, the object image that the above-mentioned optical receiver captures includes multiple objects Part image, and the object image is further analyzed to obtain the pixel of the object image in the time interval The step of variation data includes:At least part block of each of the multiple object image is analyzed respectively to obtain correspondence In multiple pixel informations of the multiple object image in the time interval;And the multiple pixel information of statistics is to take It obtains the pixel and changes data.
In one embodiment of the invention, above-mentioned the multiple pixel information is respectively the multiple object image Total red pixel value of at least part block of each.
In one embodiment of the invention, above-mentioned the multiple pixel information is respectively the multiple object image The red pixel data of at least part block of each, the operation result of green pixel data and blue pixel data.
In one embodiment of the invention, above-mentioned that data is changed according to the fingerprint recognition result and the pixel To judge that the step of whether fingerprint image passes through verification includes:The pixel variation data is analyzed to judge that the pixel becomes Whether the pixel value in change data is cyclically-varying in the time interval.
In one embodiment of the invention, above-mentioned fingerprint identification method further includes:When in the pixel variation data The pixel value in the time interval be cyclically-varying when, further according to the pixel value in the time interval In cyclically-varying result generate heartbeat message.
Based on the above, fingerprint identification device of the invention and fingerprint identification method can be according to the objects of object to be identified Pixel of the part image in time interval changes data to judge whether the object is real finger, and fingerprint recognition of arranging in pairs or groups Operation passes through verification effectively to avoid forging finger.
In order to which features described above of the invention and advantage can be clearer and more comprehensible, embodiment is hereafter especially enumerated, and combine attached Figure is described in detail below.
Description of the drawings
Fig. 1 shows the block diagram of the fingerprint identification device of one embodiment of the invention.
Fig. 2A shows the schematic diagram of the fingerprint identification device of one embodiment of the invention.
Fig. 2 B show the schematic diagram of the fingerprint identification device of another embodiment of the present invention.
Fig. 2 C show the schematic diagram of the fingerprint identification device of another embodiment of the invention.
Fig. 3 shows the flow chart of the fingerprint identification method of one embodiment of the invention.
Fig. 4 shows the schematic diagram of the object image of one embodiment of the invention.
Fig. 5 shows the schematic diagram of the pixel variation data of one embodiment of the invention.
Symbol description:
110:Processor
120:Touch sensing
30,330,530,730:Light source
140,340,540,740:Optical receiver
200,400,600:Object
350,550,750:Substrate
360:Lens
370,570:Pressing plate
900:Object image
910:Fingerprint
920:Block image
C1:Change curve
100,300,500,700:Fingerprint identification device
S810,S820,S830,S840,S850:Step.
Specific implementation mode
In order to allow present disclosure to be more easily understood, multiple embodiments set forth below illustrate the present invention, so And the present invention is not limited only to cited multiple embodiments.And combination appropriate is also still allowed between embodiment.In addition, attached Element/component/step that identical label is used in figure and embodiment, represents same or like component.
Fig. 1 shows the block diagram of the fingerprint identification device of one embodiment of the invention.With reference to figure 1, in the present embodiment, refer to Line identification device 100 includes processor 110, touch sensing 120, light source 130 and optical receiver 140.Processor 110 couples Sensor 120, light source 130 and optical receiver 140.In the present embodiment, processor 110 is sensed by touch sensing 120 Whether there is object to be placed on fingerprint identification device 100.When touch sensing 120 senses the object, touch sensing 120 Sensing signal is exported to processor 110, so that processor 110 drives light source 130.
In the present embodiment, light source 130 is for emitting light to the object, so that the surface reflection that light passes through the object To optical receiver 140.Optical receiver 140 exports the object for capturing object image of the object in time interval Image is to processor 110.In the present embodiment, processor 110 analyzes object image to obtain object image, and to the object figure Fingerprint as in carries out fingerprint recognition and operates to obtain fingerprint recognition result.Also, processor 110 further analyzes the object shadow As changing data to obtain pixel of the object image in time interval.In the present embodiment, fingerprint identification device 100 combines Fingerprint recognition result and analysis pixel change the result of data to determine whether the fingerprint image provided by the object can pass through Verification.
In other words, the fingerprint identification device 100 of the present embodiment be in addition to that can identify fingerprint characteristic, and can be into one Step judges whether the object is real finger by pixel variation data of the object in the time interval is analyzed.Citing comes It says, if the fingerprint characteristic in fingerprint image meets the registered fingerprint spy having previously been stored in fingerprint identification device 100 Sign data, but pixel variation data of the object in time interval be not when meeting preset condition, then fingerprint identification device 100 Judge the non-genuine finger of the object, and the fingerprint image of the object can not pass through verification.Again for example, if in fingerprint image Fingerprint characteristic as in meets the registered fingerprint characteristic data having previously been stored in fingerprint identification device 100, and the object When pixel variation data of the part in the time interval meets the preset condition, then fingerprint identification device 100 judges that the object is Real finger, and judge that the fingerprint image of the object passes through verification.That is, the fingerprint identification device 100 of the present embodiment Effectively the fingerprint characteristic provided by forgery finger can be avoided to pass through verification by above two Rule of judgment.
However, the identification and alignments those skilled in the art about the fingerprint characteristic described in the present embodiment can roots Enough enlightenments, suggestion are obtained according to the common knowledge of technical field and implements explanation, therefore details are not described herein.
In the present embodiment, processor 110 is, for example, central processing unit(Central Processing Unit, CPU), SoC(System on Chip, SOC)The either general service or specific use of other programmables Microprocessor(microprocessor), digital signals processor(Digital Signal Processor, DSP), can program Change controller, special application integrated circuit(Application Specific Integrated Circuits, ASIC), can Programmable logic device(Programmable Logic Device, PLD), other similar process devices or these devices group It closes.And fingerprint identification device 100 further comprises storage device, wherein storage device be, for example, it is any kind of fixed or The random access memory of packaged type(Random Access Memory, RAM), read-only memory(Read-Only Memory, ROM), flash memory(flash memory)Or the combination of similar component or said elements.In the present embodiment, Storage device is used to store object image data, object image document and multiple modules of various embodiments of the present invention etc., so that Processor 110 can read storage device and execute these data and module, to realize the finger described in various embodiments of the present invention Line recognition methods.
In the present embodiment, light source 130 is for emitting single wavelength light or multi-wavelength light, wavelength between Between 400nm ~ 3000nm.That is, when touch sensing 120 senses object, processor 110 can drive light source 130, So that light source 130 emits single wavelength light or multi-wavelength light to irradiate object.
In the present embodiment, optical receiver 140 is, for example, photosensitive coupling element(Charge Coupled Device, CCD)Or Complimentary Metal-Oxide semiconductor(Complementary Metal-Oxide Semiconductor, CMOS).Tool For body, in the present embodiment, the sustainable light for receiving object reflection in time interval of optical receiver 140 is arrived with capturing The object image of solid color or polychrome, and optical receiver 140 exports the data of the object image to processor 110, with Processor 110 is set to be analyzed according to the data of the object image.In the present embodiment, optical receiver for example export yuv format, The object image of rgb format or RAW rgb formats is to processor 110.
In the present embodiment, touch sensing 120 may, for example, be capacitance type sensor(Capacitive Sensor), And sensing signal is capacitance signal.Touch sensing 120 may, for example, be configuration on the pressing plate with fingerprint sensing region Metal frame or be integrated into the pressing plate, the present invention is not limited thereto.That is, when object is placed on fingerprint recognition dress When setting 100 fingerprint sensing region, if object is real finger, touch sensing 120 senses capacitance variations, therefore touches Sensor 120 is controlled according to the capacitance variations output capacitance signal to processor 110, so that processor 110 drives light source 130.Instead It, if object is to forge finger, touch sensing 120 can not sense capacitance variations, therefore touch sensing 120 is not defeated Go out capacitance signal to processor 110, so that processor 110 will not drive light source 130.However, in one embodiment, fingerprint is known Other device 100 may not include touch sensing 120, light source 130 can for normally open or by processor 110 by other means Lai Judge whether to drive light source 130, the present invention is not limited thereto.
Following figure 2 A is used to illustrate the implementation of a variety of device architectures of the fingerprint identification device of the present invention to Fig. 2 C embodiments Mode, but the present invention is not limited thereto.
Fig. 2A shows the schematic diagram of the fingerprint identification device of one embodiment of the invention.With reference to figure 2A, in the present embodiment, Fingerprint identification device 300 includes light source 330, optical receiver 340, substrate 350, camera lens 360 and pressing plate 370.Light source 330 and Optical receiver 340 configures on substrate 350, and optical receiver 340 has camera lens 360.In the present embodiment, when object 200 It is placed on the fingerprint sensing region of pressing plate 370, light source 330 is actuated to transmitting light to object 200.Optical receiver 340 is borrowed Imaging of the object 200 on pressing plate 370 is obtained by camera lens 360, to export object image to the processor of fingerprint identification device.
Fig. 2 B show the schematic diagram of the fingerprint identification device of another embodiment of the present invention.With reference to figure 2B, in the present embodiment In, fingerprint identification device 500 includes light source 530, optical receiver 540, substrate 550 and pressing plate 570.Light source 530 and light connect The configuration of device 540 is received on substrate 550.In the present embodiment, when object 400 is placed on the fingerprint sensing region of pressing plate 570, light Source 530 is actuated to transmitting light to object 400.Optical receiver 540 captures imaging of the object 400 on pressing plate 570, with output Object image to fingerprint identification device processor.In the present embodiment, optical receiver 540 also can be captured directly and image in pressing plate Object image on 570.
Fig. 2 C show the schematic diagram of the fingerprint identification device of another embodiment of the invention.With reference to figure 2C, in the present embodiment In, fingerprint identification device 700 includes light source 730, optical receiver 740 and substrate 750.Light source 730 and optical receiver 740 are matched It sets on substrate 750.In the present embodiment, when object 600 is directly placed on optical receiver 740, light source 730 is actuated to send out Light is penetrated to object 600.Optical receiver 740 captures the directly acquisition object image of object 600, is believed with exporting corresponding photoelectric current Number to fingerprint identification device processor.
In above-mentioned Fig. 2A to Fig. 2 C, the fingerprint identification device 300,500,700 of these embodiments can be further respectively Including touch sensing.Specifically, the fingerprint identification device 300,500,700 of the respective embodiments described above pressing in object respectively Conductive material, e.g. metal frame can be set in pressure range.Conductive material can be covered in neighboring area or the optical receiver of pressing plate Neighboring area so that after real finger touches conductive material, the signal that touch sensing can be provided by conductive material comes Generate capacitance variations, and touch sensing according to the capacitance variations output capacitance signal to fingerprint identification device 300,500, 700 processor., whereas if not being that real finger touches conductive material, then touch sensing will not output capacitance signal. Therefore, the fingerprint identification device 300,500,700 of the respective embodiments described above, which can have, avoids accidentally touching or avoiding for forgery finger The function being identified.
Fig. 3 shows the flow chart of the fingerprint identification method of one embodiment of the invention.With reference to figure 1 and Fig. 3, the present embodiment Fingerprint identification method be applicable to the fingerprint identification device of Fig. 1.In step S810, fingerprint identification device 100 is by light source 130 emit light to object.In step S820, fingerprint identification device 100 captures object in time zone by optical receiver 140 Between in object image.In step S830, fingerprint identification device 100 is analyzed object image by processor 110 and is referred to obtaining Print image, and fingerprint recognition operation is carried out to obtain fingerprint recognition result to fingerprint image.
In the present embodiment, optical receiver 140 captures object image of the object in time interval, the wherein time interval It may, for example, be 10 seconds.That is, processor 110 can obtain the object image being made of multiple continuous object images. In the present embodiment, wherein one of these multiple continuous object images of 110 fechtable of processor grasps to be used for fingerprint recognition Make, such as first object image, but the present invention is not limited thereto.Also, the optical receiver 140 of the present embodiment can provide for example It is the object image of yuv format, rgb format or RAW rgb formats to processor 110.In the present embodiment, processor 110 is sentenced Whether the fingerprint characteristic in the disconnected object image meets the registered fingerprint characteristic data stored in advance, to determine fingerprint image Fingerprint recognition result.
In step S840, processor 110 further analyzes the object image to obtain the object image in the time zone Between in pixel change data.In the present embodiment, processor 110 analyzes the every of these object images of the object image respectively One at least part block corresponds to multiple pixel informations of these object images in the time interval to obtain, and Processor 110 counts these pixel informations and changes data to obtain pixel.
For example, Fig. 4 shows the schematic diagram of the object image of one embodiment of the invention.Fig. 5 shows the present invention one The schematic diagram of the pixel variation data of embodiment.With reference to figure 4, one of object image described in the various embodiments described above object Image can be as shown in Figure 4 object image 900.In this embodiment, object image 900 includes fingerprint 910, and object figure Picture 900 can be for example with 320 × 240 pixel quantity, but the present invention is not limited thereto.In this embodiment, processor 110 The block image 920 of a part for object image 900 can be analyzed, wherein the block image 920 can for example with 220 × 108 pixel quantity.Processor 100 adds up the red pixel values of whole pixels of the block image 920, using as object figure As 900 pixel value information.Alternatively, in one embodiment, processor 100 is total by whole pixels of the block image 920 The totalling of red pixel value, total green pixel values and total blue pixel value, using the pixel value information as object image 900. That is, each object image that processor 110 can be directed to the object image is analyzed, to obtain these objects respectively The pixel value information out of the ordinary of image.However, the block range and block size of the block image 920 of the present invention are not limited to figure Shown in 4, the block range and block size of block image 920 can be determined according to different judgement demands.
With reference to figure 5, in this embodiment, processor 110 believes the pixel value of each object image of the object image Breath is integrated into pixel variation data as shown in Figure 5 according to the corresponding time.In Figure 5, if object is real finger, Due to having capilary under the surface of real finger, total red pixel value of each object image of object image will Periodically change with palmic rate.Processor 110 can count the total red of each object image in time interval Color pixel value, to obtain change curve C1.In this embodiment, processor 110 can be according to change curve C1 in the time interval In whether be cyclically-varying, to judge whether the object is real finger.Also, processor 110 can be further according to variation Cyclically-varying results of the curve C1 in the time interval generates heartbeat message.That is, fingerprint identification device 100 removes Have the function of fingerprint recognition, further has the function of the HR Heart Rate of sensing user.
Therefore, in step S850, processor 110 is according to above-mentioned fingerprint recognition result and above-mentioned pixel variation money Expect to judge whether fingerprint image is to pass through verification.That is, if processor 110 judges the finger of the fingerprint image of the object Line recognition result is to meet the registered fingerprint characteristic data stored in advance, and processor 110 judges the object of the object It is cyclically-varying in the time interval during sensing that the pixel of image, which changes data, then processor 110 judges the fingerprint image As passing through verification., whereas if processor 110 judges that the fingerprint recognition result of the fingerprint image of the object does not meet advance storage Registered fingerprint characteristic data or processor 110 judge the object object image pixel variation data sensing There is no cyclically-varying in the time interval of period, then processor 110 judges that the fingerprint image does not pass through verification.
In conclusion the fingerprint identification device and fingerprint identification method of the present invention can be by the objects for capturing time interval Image obtains multiple object images.Also, the fingerprint identification device of the present invention can be directed to wherein one of these object images Object image carries out fingerprint recognition operation, and is analyzed for each Zhang Jinhang of these object images, is existed with obtaining the object The pixel of the object image in the time interval changes data.If the pixel of the object image changes data in the time zone Between have periodically variable characteristic, then fingerprint identification device judge the object for real finger.Therefore, fingerprint of the invention is known Other device, can also be by judging whether object is real finger, effectively to avoid forging hand in addition to that can carry out fingerprint recognition operation The fingerprint characteristic of finger passes through verification.It is provided in addition, the fingerprint identification device of the present invention can also change according to the pixel of the object image Expect to provide heartbeat message.
Although the present invention is disclosed by way of embodiment as above, it is not intended to make any limit to the present invention Fixed, the people with common knowledge should can make one without departing from the spirit and scope of the present invention in any technical field It changes and retouches, therefore protection scope of the present invention should be subject to the range that claim defined.

Claims (18)

1. a kind of fingerprint identification device, which is characterized in that the fingerprint identification device includes:
Light source, for emitting light to object;
Processor couples the light source;And
Optical receiver couples the processor, and the optical receiver is for capturing object shadow of the object in time interval Picture,
The wherein described processor analyzes the object image to obtain fingerprint image, and the processor is to the fingerprint image Fingerprint recognition operation is carried out to obtain fingerprint recognition as a result, the wherein described processor further analyzes the object image to obtain Pixel of the object image in the time interval changes data, and the processor is according to the fingerprint recognition result And the pixel changes data to determine whether the fingerprint image passes through verification.
2. fingerprint identification device according to claim 1, which is characterized in that the fingerprint identification device further includes:
Touch sensing couples the processor, and the touch sensing is for sensing whether the object is placed on institute It states to export sensing signal to the processor on touch sensing,
The wherein described processor decides whether to drive the light source according to the sensing signal, so that described in light source transmitting Light.
3. fingerprint identification device according to claim 1, which is characterized in that the light of the light source transmitting is single Wavelength light or multi-wavelength light.
4. fingerprint identification device according to claim 1, which is characterized in that the object shadow that the optical receiver captures As including multiple object images, and the processor selects one of the multiple object image to be analyzed to obtain The fingerprint image.
5. fingerprint identification device according to claim 1, which is characterized in that the object shadow that the optical receiver captures As including multiple object images, and the processor analyzes at least part of each of the multiple object image respectively Block corresponds to multiple pixel informations of the multiple object image in the time interval to obtain, wherein the processor It counts the multiple pixel information and changes data to obtain the pixel.
6. fingerprint identification device according to claim 5, which is characterized in that the multiple pixel information is respectively described more Total red pixel value of at least part block of each of a object image.
7. fingerprint identification device according to claim 5, which is characterized in that the multiple pixel information is respectively described more Red pixel data, green pixel data and the blue pixel data of at least part block of each of a object image Operation result.
8. fingerprint identification device according to claim 1, which is characterized in that the processor analyzes the pixel variation money Material is to judge whether the pixel value in the pixel variation data is cyclically-varying in the time interval.
9. fingerprint identification device according to claim 8, which is characterized in that when processor judges that the pixel changes data In the pixel value in the time interval be cyclically-varying when, the processor further exists according to the pixel value Cyclically-varying result in the time interval generates heartbeat message.
10. a kind of fingerprint identification method, it is suitable for fingerprint identification device, which is characterized in that the fingerprint identification method includes:
By source emissioning light line to object;
Object image of the object in time interval is captured by optical receiver;
The object image is analyzed to obtain fingerprint image, and fingerprint recognition operation is carried out to the fingerprint image and is referred to obtaining Line recognition result;
It further analyzes the object image and changes data to obtain pixel of the object image in the time interval;With And
Judge whether the fingerprint image passes through verification according to the fingerprint recognition result and pixel variation data.
11. fingerprint identification method according to claim 10, which is characterized in that the fingerprint identification method further includes:
Sense whether the object is placed on the touch sensing to export sensing signal by touch sensing;And
Decide whether to drive the light source according to the sensing signal, so that the light source emits the light.
12. fingerprint identification method according to claim 10, which is characterized in that the light of the light source transmitting is single One wavelength light or multi-wavelength light.
13. fingerprint identification method according to claim 10, which is characterized in that the object that the optical receiver captures Image includes multiple object images, and analyzes the step of object image is to obtain the fingerprint image and include:
One of the multiple object image is selected to be analyzed to obtain the fingerprint image.
14. fingerprint identification method according to claim 10, which is characterized in that the object that the optical receiver captures Image includes multiple object images, and further analyzes the object image to obtain the object image in the time zone Between in the pixel variation data the step of include:
At least part block of each of the multiple object image is analyzed respectively corresponds to the multiple object to obtain Multiple pixel informations of the image in the time interval;And
It counts the multiple pixel information and changes data to obtain the pixel.
15. fingerprint identification method according to claim 14, which is characterized in that the multiple pixel information is respectively described Total red pixel value of at least part block of each of multiple object images.
16. fingerprint identification method according to claim 14, which is characterized in that the multiple pixel information is respectively described Red pixel data, green pixel data and the blue pixel money of at least part block of each of multiple object images The operation result of material.
17. fingerprint identification method according to claim 10, which is characterized in that according to the fingerprint recognition result and institute Pixel variation data is stated to judge that the step of whether fingerprint image passes through verification includes:
Analyze pixel variation data with judge the pixel value in the pixel variation data in the time interval whether For cyclically-varying.
18. fingerprint identification method according to claim 17, which is characterized in that the fingerprint identification method further includes:
When the pixel value in the pixel variation data is cyclically-varying in the time interval, further basis Cyclically-varying result of the pixel value in the time interval generates heartbeat message.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111339799A (en) * 2018-12-18 2020-06-26 广州印芯半导体技术有限公司 Fingerprint sensing device and fingerprint sensing method
CN112232213A (en) * 2020-01-21 2021-01-15 神盾股份有限公司 Method and system for identifying and preventing counterfeit of fingerprint under screen
CN112580392A (en) * 2019-09-27 2021-03-30 宏碁股份有限公司 Fingerprint recognition apparatus and driving method thereof

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI732172B (en) * 2019-01-29 2021-07-01 巧連科技股份有限公司 Micro-needle and finger-print identifying module
TWI714025B (en) * 2019-03-19 2020-12-21 緯創資通股份有限公司 Image identifying method and image identifying device
US20230069164A1 (en) * 2021-08-30 2023-03-02 Taiwan Semiconductor Manufacturing Company Ltd. Semiconductor image sensor and method for forming the same

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101120879A (en) * 2006-08-08 2008-02-13 株式会社日立媒介电子 Biometric identification apparatus
CN103119630A (en) * 2010-07-19 2013-05-22 里斯特有限公司 Fingerprint sensors and systems incorporating fingerprint sensors
CN104463074A (en) * 2013-09-12 2015-03-25 金佶科技股份有限公司 Fingerprint authenticity distinguishing method and distinguishing device
CN104616001A (en) * 2015-03-04 2015-05-13 上海箩箕技术有限公司 Fingerprint recognition system and fingerprint recognition method
CN105205464A (en) * 2015-09-18 2015-12-30 宇龙计算机通信科技(深圳)有限公司 Fingerprint identification method, fingerprint identification device and terminal
CN205354054U (en) * 2015-12-17 2016-06-29 江苏鼎云信息科技有限公司 Fingerprint sampler based on vital sign
CN105787322A (en) * 2016-02-01 2016-07-20 北京京东尚科信息技术有限公司 Fingerprint identification method and apparatus as well as mobile terminal

Family Cites Families (60)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3839512A1 (en) * 1988-11-23 1990-05-31 Messerschmitt Boelkow Blohm Image sensor
US6506632B1 (en) * 2002-02-15 2003-01-14 Unimicron Technology Corp. Method of forming IC package having downward-facing chip cavity
TWI241688B (en) * 2003-09-01 2005-10-11 Siliconware Precision Industries Co Ltd Photosensitive semiconductor device and method for fabrication the same
JP2005317878A (en) * 2004-04-30 2005-11-10 Citizen Electronics Co Ltd Photo-reflector device and its manufacturing method
CN102339382B (en) * 2004-06-01 2015-09-16 光谱辨识公司 Multispectral imaging bio-identification
WO2006030781A1 (en) * 2004-09-13 2006-03-23 The Ritsumeikan Trust Method and device for extracting biometric information from fingr tip
TWI241040B (en) * 2004-09-22 2005-10-01 Ching-Fu Tzou Modulized structure of the array LED and its packaging method
JP4407512B2 (en) * 2004-12-28 2010-02-03 ミツミ電機株式会社 Image detection device
TWI277004B (en) * 2005-03-18 2007-03-21 Chuan Liang Ind Co Ltd Compact and thin contact type image sensor
US7505613B2 (en) * 2005-07-12 2009-03-17 Atrua Technologies, Inc. System for and method of securing fingerprint biometric systems against fake-finger spoofing
JP4501161B2 (en) * 2005-12-28 2010-07-14 カシオ計算機株式会社 Image reading device
EP1643556A3 (en) * 2006-01-16 2006-11-22 Elec Vision Inc. Contact image capturing structure
TWM301406U (en) * 2006-05-05 2006-11-21 Lite On Semiconductor Corp Package structure of optical fingerprint gathering module
TW200807745A (en) * 2006-07-28 2008-02-01 Delta Electronics Inc Light-emitting heat-dissipating device and packaging method thereof
TWI436474B (en) * 2007-05-07 2014-05-01 Sony Corp A solid-state image pickup apparatus, a manufacturing method thereof, and an image pickup apparatus
CN100492400C (en) * 2007-07-27 2009-05-27 哈尔滨工程大学 Matching identification method by extracting characters of vein from finger
TW200933866A (en) * 2008-01-16 2009-08-01 Lingsen Precision Ind Ltd Chip stacking method using light hardened glue
TWI382350B (en) * 2009-02-19 2013-01-11 Gingy Technology Inc Optical Fingerprint Identification System
JP4842363B2 (en) * 2009-11-17 2011-12-21 シャープ株式会社 Pointing device and electronic device
CN102386107B (en) * 2010-09-01 2015-04-01 群成科技股份有限公司 Packaging method with four flat sides and without pin
CN102446268A (en) * 2010-09-30 2012-05-09 神盾股份有限公司 Fingerprint anti-counterfeit device and method thereof
JP5541137B2 (en) * 2010-12-15 2014-07-09 ソニー株式会社 Imaging device, electronic device, solar battery, and manufacturing method of imaging device
TWI456510B (en) * 2011-08-24 2014-10-11 Gingy Technology Inc Fingerprint touch panel
TWM428490U (en) * 2011-09-27 2012-05-01 Lingsen Precision Ind Ltd Optical module packaging unit
FR2980643A1 (en) * 2011-09-28 2013-03-29 St Microelectronics Grenoble 2 OPTICAL ELECTRONIC HOUSING
TWI562077B (en) * 2012-01-04 2016-12-11 Gingy Technology Inc Method for fingerprint recognition using dual camera and device thereof
TWI486844B (en) * 2012-09-25 2015-06-01 Au Optronics Corp Optical touch device with scan ability
JP5682638B2 (en) * 2013-01-15 2015-03-11 株式会社ニコン Image sensor
CN103116763B (en) * 2013-01-30 2016-01-20 宁波大学 A kind of living body faces detection method based on hsv color Spatial Statistical Character
TWI517054B (en) * 2013-04-24 2016-01-11 金佶科技股份有限公司 Fingerprint image capturing device
TW201505135A (en) * 2013-07-25 2015-02-01 Lingsen Precision Ind Ltd Packaging structure of optical module
TW201505132A (en) * 2013-07-25 2015-02-01 Lingsen Precision Ind Ltd Package structure of optical module
US20150084994A1 (en) * 2013-09-23 2015-03-26 Qualcomm Incorporated Touch-enabled field-sequential color (fsc) display using a light guide with light turning features
JP6340793B2 (en) * 2013-12-27 2018-06-13 セイコーエプソン株式会社 Optical device
TWM491210U (en) * 2014-02-18 2014-12-01 Image Match Desgin Inc Fingerprint sensor device with anti-counterfeiting function
TWI578411B (en) * 2014-04-03 2017-04-11 精材科技股份有限公司 Method for forming chip package
US8917387B1 (en) * 2014-06-05 2014-12-23 Secugen Corporation Fingerprint sensing apparatus
CN104103650B (en) * 2014-07-09 2018-03-23 日月光半导体制造股份有限公司 Optical module and its manufacture method and the electronic installation including optical module
US10211191B2 (en) * 2014-08-06 2019-02-19 Pixart Imaging Inc. Image module package with transparent sub-assembly
TWM537678U (en) * 2016-09-26 2017-03-01 金佶科技股份有限公司 Package structure of fingerprint identification apparatus
JP2015038991A (en) * 2014-09-03 2015-02-26 ルネサスエレクトロニクス株式会社 Semiconductor device manufacturing method
TWI549065B (en) * 2015-01-26 2016-09-11 Gingytech Technology Inc Fingerprint identification method and device thereof
TWI539385B (en) * 2015-01-28 2016-06-21 金佶科技股份有限公司 Photon-drive fingerprint identification module
US20160240575A1 (en) * 2015-02-13 2016-08-18 Novatek Microelectronics Corp. Optical device
CN204424252U (en) * 2015-03-27 2015-06-24 蔡亲佳 The embedding formula Board level packaging structure of semiconductor chip
US20160307881A1 (en) * 2015-04-20 2016-10-20 Advanced Semiconductor Engineering, Inc. Optical sensor module and method for manufacturing the same
KR102434562B1 (en) * 2015-06-30 2022-08-22 삼성전자주식회사 Method and apparatus for detecting fake fingerprint, method and apparatus for recognizing fingerprint
TWI547884B (en) * 2015-07-09 2016-09-01 金佶科技股份有限公司 Fingerprint identification module
TW201705031A (en) * 2015-07-22 2017-02-01 Egalax_Empia Tech Inc Biometric identification device a fingerprint identification region and a pulse and blood flow identification region together having a total area about a press area of a single finger
US10002242B2 (en) * 2015-08-17 2018-06-19 Qualcomm Incorporated Electronic device access control using biometric technologies
US9959444B2 (en) * 2015-09-02 2018-05-01 Synaptics Incorporated Fingerprint sensor under thin face-sheet with aperture layer
WO2017043823A1 (en) * 2015-09-07 2017-03-16 엘지이노텍 주식회사 Sensing device
TWI556177B (en) * 2015-09-18 2016-11-01 Tong Hsing Electronic Ind Ltd Fingerprint sensing device and method of manufacturing same
CN106558572A (en) * 2015-09-30 2017-04-05 茂丞科技股份有限公司 Fingerprint sensing package module and its manufacture method
CN105654469B (en) * 2015-12-22 2018-11-16 深圳贝申医疗技术有限公司 A kind of automatic analysis method and system of baby stool color
CN105512648A (en) * 2016-01-21 2016-04-20 广东欧珀移动通信有限公司 Mobile equipment and fingerprint recognizing and sensing device
TWM522420U (en) * 2016-02-17 2016-05-21 Metrics Technology Co Ltd J Fingerprint sensing module
TWI562011B (en) * 2016-03-09 2016-12-11 Chipmos Technologies Inc Optical fingerprint sensor package structure
CN106229331B (en) * 2016-08-31 2019-03-29 上海箩箕技术有限公司 Self-luminous display pixel
CN106529487A (en) * 2016-11-18 2017-03-22 上海箩箕技术有限公司 Optical fingerprint sensor module

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101120879A (en) * 2006-08-08 2008-02-13 株式会社日立媒介电子 Biometric identification apparatus
CN103119630A (en) * 2010-07-19 2013-05-22 里斯特有限公司 Fingerprint sensors and systems incorporating fingerprint sensors
CN104463074A (en) * 2013-09-12 2015-03-25 金佶科技股份有限公司 Fingerprint authenticity distinguishing method and distinguishing device
CN104616001A (en) * 2015-03-04 2015-05-13 上海箩箕技术有限公司 Fingerprint recognition system and fingerprint recognition method
CN105205464A (en) * 2015-09-18 2015-12-30 宇龙计算机通信科技(深圳)有限公司 Fingerprint identification method, fingerprint identification device and terminal
CN205354054U (en) * 2015-12-17 2016-06-29 江苏鼎云信息科技有限公司 Fingerprint sampler based on vital sign
CN105787322A (en) * 2016-02-01 2016-07-20 北京京东尚科信息技术有限公司 Fingerprint identification method and apparatus as well as mobile terminal

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111339799A (en) * 2018-12-18 2020-06-26 广州印芯半导体技术有限公司 Fingerprint sensing device and fingerprint sensing method
CN111339799B (en) * 2018-12-18 2023-02-28 广州印芯半导体技术有限公司 Fingerprint sensing device and fingerprint sensing method
CN112580392A (en) * 2019-09-27 2021-03-30 宏碁股份有限公司 Fingerprint recognition apparatus and driving method thereof
CN112580392B (en) * 2019-09-27 2024-03-22 宏碁股份有限公司 Fingerprint identification device and driving method thereof
CN112232213A (en) * 2020-01-21 2021-01-15 神盾股份有限公司 Method and system for identifying and preventing counterfeit of fingerprint under screen
CN112232213B (en) * 2020-01-21 2024-02-27 神盾股份有限公司 Under-screen fingerprint identification anti-counterfeiting method and system

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