CN205281523U - Living body fingerprint recognition device - Google Patents
Living body fingerprint recognition device Download PDFInfo
- Publication number
- CN205281523U CN205281523U CN201521078181.6U CN201521078181U CN205281523U CN 205281523 U CN205281523 U CN 205281523U CN 201521078181 U CN201521078181 U CN 201521078181U CN 205281523 U CN205281523 U CN 205281523U
- Authority
- CN
- China
- Prior art keywords
- living body
- fingerprint
- processing module
- optical
- signal processing
- Prior art date
- 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.)
- Active
Links
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The utility model discloses a living body fingerprint recognition device, living body fingerprint recognition device includes: a body and set up in this internal fingerprint imaging Unit for obtain the fingerprint image like, this internal supplementary detecting element that still is equipped with, through supplementary detecting element in to the finger measurement of the average horizontal velocity of flow of blood obtain measuring result, with according to measuring result does not belong to living body fingerprint with the fingerprint image that the comparison results found who predetermines velocity of flow scope obtained. Living body fingerprint identification method includes: through fingerprint imaging Unit obtains instruction fetch line image, through supplementary detecting element measures the average horizontal velocity of flow of blood in pointing, obtains measuring result, and according to measuring result does not belong to living body fingerprint with the fingerprint image that the comparison results found who predetermines velocity of flow scope acquireed. The utility model discloses a living body fingerprint recognition device can improve the accuracy of living body fingerprint discernment.
Description
Technical field
This utility model relates to fingerprint identification technology field, particularly relates to a kind of living body finger print identification device.
Background technology
At present, fingerprint identification technology has been widely used in the fields such as safety door inhibition, attendance, identification, safe encryption. Everyone fingerprint is different on pattern, breakpoint and cross point, and present uniqueness, unchangeable. Thus, by the fingerprint of experimenter and the finger print data pre-saved being compared, living body finger print recognition result can be accessed.
But, if the fingerprint of experimenter is copied to some imitated material (such as silica gel material), the fingerprint that will make living body finger print identification device fingerprint with experimenter owing to this duplication being detected is identical, and obtains the living body finger print recognition result of mistake.
Therefore, existing living body finger print identification device there is also the defect that living body finger print detection accuracy is not high.
Utility model content
A purpose of the present utility model is in that to provide a kind of living body finger print identification device, and the living body finger print identification device for solving prior art still suffers from the problem that living body finger print identification accuracy is not high.
In order to solve above-mentioned technical problem, this utility model provides following technical scheme:
A kind of living body finger print identification device, described device includes a body and is arranged at a described intrinsic fingerprint imaging unit, in order to obtain fingerprint image, described internal is additionally provided with an accessory detection unit, by described accessory detection unit, the measurement of blood average transverse flow velocity in finger is obtained measurement result, judge whether the fingerprint image obtained belongs to living body finger print with the comparative result according to described measurement result with preset flow rate scope.
Preferably, described accessory detection unit includes optical module, sample arm and the first signal processing module, described optical module is launched optical signal and transmits to described sample arm, by described sample arm, described optical signal is incident in described finger, and scatter to described first signal processing module, to obtain described measurement result by described first signal processing module.
Preferably, described optical module includes the first light source and Transmission Fibers, wherein, described Transmission Fibers includes incident optical and outgoing optical fiber, the optical signal transmission that described first light source is sent by described incident optical is to described sample arm, and described outgoing optical fiber is by by the optical signal transmission of described finger scattering to described first signal processing module.
Preferably, described sample arm includes lens and window, and the optical signal that described optical module is launched, via in described window, lens entrance extremely described finger, scatters to described first signal processing module then through by described lens, window.
Preferably, described fingerprint imaging unit includes secondary light source, prism and secondary signal processing module, and described secondary light source launches blue light or green glow handles digital reflex, is transferred through described prism and secondary signal processing module successively, to form described fingerprint image.
Preferably, described first signal processing module and secondary signal processing module all include photodetector and microcontrol processor, the optical signal received is converted to the signal of telecommunication by described photodetector, the described signal of telecommunication carried out intensity extraction and computing cross-correlation by described microcontrol processor, obtain described measurement result, to carry out living body finger print identification according to described measurement result, or, by described microcontrol processor, the described signal of telecommunication is carried out picture construction and form described fingerprint image.
Preferably, described photodetector is photodiode.
From above technical scheme provided by the utility model, compared with prior art, this utility model has the advantages that
By arranging accessory detection unit in originally internal, by accessory detection unit, blood average transverse flow velocity measurement in finger is obtained measurement result, judge whether the fingerprint image obtained belongs to living body finger print with the comparative result according to measurement result with preset flow rate scope, and then draw living body finger print recognition result, so that living body finger print identification device of the present utility model can judge that the fingerprint that recognizes is whether as living body finger print exactly.
Accompanying drawing explanation
In order to be illustrated more clearly that each embodiment of this utility model or technical scheme of the prior art, the accompanying drawing used required in each embodiment of this utility model or description of the prior art will be briefly described below. It should be evident that the accompanying drawing in the following describes is only embodiments more of the present utility model, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the structured flowchart of the living body finger print identification device of an embodiment.
Fig. 2 is the structured flowchart of fingerprint image-generating unit in Fig. 1.
Fig. 3 is the structured flowchart of accessory detection unit in Fig. 1.
Fig. 4 is the structured flowchart of the living body finger print identification device of another embodiment.
Fig. 5 is the flow chart of the living body finger print recognition methods of an embodiment.
Fig. 6 is the flow chart of the living body finger print recognition methods of another embodiment.
Fig. 7 is the method flow diagram by accessory detection unit, blood average transverse flow velocity in finger measured in Fig. 5 or Fig. 6.
Detailed description of the invention
In order to make those of ordinary skill in the art be more fully understood that the technical scheme in this utility model, and it is understandable to enable above-mentioned purpose of the present utility model, feature and advantage to become apparent from, below in conjunction with accompanying drawing, the technical scheme in each embodiment of the present utility model is elaborated further.
Refer to Fig. 1, in one embodiment, a kind of living body finger print identification device, described device includes a body 100 and is arranged at an intrinsic fingerprint imaging unit 120, in order to obtain fingerprint image, in body 100, it is additionally provided with an accessory detection unit 120, by accessory detection unit 120, blood average transverse flow velocity in finger is measured, obtain measurement result, judge whether the fingerprint image obtained belongs to living body finger print with the comparative result according to measurement result with preset flow rate scope.
Referring to Fig. 2, in one embodiment, fingerprint imaging unit 110 includes secondary light source 111, prism 112 and signal processing module 113. Secondary light source 111 launches blue light or green glow handles digital reflex, is transferred through prism 112 and signal processing module 113 successively, to form fingerprint image.
Specifically, secondary light source 111 is arranged at the inner surface of body 100, so that when finger touches the outer surface of body 100, it can be carried out the irradiation of blue light or green glow by secondary light source 111, so that optical signal handles digital reflex to prism 112.
More preferably, the range of exposures of secondary light source 111 is 13mm 14mm, and being beneficial to its optical signal sent can be irradiated the finger being positioned over living body finger print identification device better.
Referring to Fig. 3, in one embodiment, accessory detection unit 120 includes optical module 121, sample arm 122 and signal processing module 123. Optical module 121 is launched optical signal and transmits to sample arm 122, is incident in finger by optical signal by sample arm 122, and scatters to signal processing module 123, to obtain measurement result by signal processing module 123.
Refer to Fig. 4, and in conjunction with Fig. 1 to Fig. 3, in one embodiment, in fingerprint imaging unit 110, signal processing module 113 includes photodetector 1131 and microcontrol processor 1132. Wherein, the optical signal received is converted to the signal of telecommunication by photodetector 1131, forms fingerprint image the signal of telecommunication carrying out picture construction by microcontrol processor 1132.
In accessory detection unit 120, optical module 121 includes the first light source 1211 and Transmission Fibers. Wherein, Transmission Fibers includes incident optical 1212 and outgoing optical fiber 1213, and the optical signal transmission that the first light source 1211 is sent by incident optical 1212 is to sample arm 122, and outgoing optical fiber 1213 is by by the optical signal transmission of finger scattering to signal processing module 123. More preferably, the material of Transmission Fibers is metal or pottery, and internal diameter is 500 microns.
Sample arm 123 includes lens 1221 and window 1222, and the optical signal that optical module 121 is launched is incident in finger via window 1222, lens 1221, scatters to signal processing module 123 then through by lens 1221, window 1222.
Signal processing module 123 includes photodetector 1231 and microcontrol processor 1232. Wherein, the optical signal received is converted to the signal of telecommunication by photodetector 1231, the signal of telecommunication is carried out intensity extraction and computing cross-correlation by microcontrol processor 1232, obtains measurement result, to carry out living body finger print identification according to measurement result.
In the present embodiment, photodetector 1131,1231 can be photodiode, or photoelectric sensor, or other photoelectric switching circuit.
Certainly, in other embodiments, the signal processing module 113 of fingerprint imaging unit 110 can share with the signal processing module 123 of accessory detection unit 120, reduces plate level area with this, suitable in compact apparatus, to advantageously reduce manufacturing cost.
Refer to Fig. 5, and in conjunction with Fig. 1 to Fig. 4, in one embodiment, a kind of living body finger print recognition methods, it is applied to living body finger print identification device, living body finger print identification device includes fingerprint imaging unit 110 and accessory detection unit 120. Method as above comprises the following steps:
Step 210, obtains fingerprint image by fingerprint imaging unit.
Finger is positioned over living body finger print identification device by experimenter, by the secondary light source 111 in fingerprint imaging unit 110, it is carried out the irradiation of blue light or green glow, so that optical signal handles digital reflex to prism 112, and process through the opto-electronic conversion of signal processing module 113, picture construction etc., form fingerprint image.
Certainly, the fingerprint image of validated user is also obtained by step 210, and stores to be formed and preserve the data base of finger print data, carries out fingerprint comparison for follow-up.
Step 230, is measured blood average transverse flow velocity in finger by accessory detection unit, obtains measurement result.
Same position relative to finger, the tissues such as muscle in finger, bone are static, corresponding scattering strength is invariable, blood in finger is then flowing, has certain flow velocity, and the scattering strength of same position does not correspondingly change yet in the same time, therefore, by accessory detection unit 120 not in the same time opponent refer in same position the measurement of blood average transverse flow velocity, it is possible to obtain the meansigma methods of this position blood transverse flow speed, i.e. measurement result.
According to the comparative result of measurement result with preset flow rate scope, step 250, judges whether the fingerprint image got belongs to living body finger print.
Preset flow rate scope refers to the distribution of the blood transverse flow speed corresponding to living body finger print. Owing to finger being covered with a false fingerprint sleeve or false fingerprint film, the measurement result causing experimenter is produced bigger variation, thus deviating from preset flow rate scope, therefore, by the comparison of measurement result Yu preset flow rate scope, namely can be derived that living body finger print recognition result.
Specifically, after accessory detection unit 120 obtains measurement result, if measurement result is within the scope of preset flow rate, then judge that the fingerprint image got belongs to living body finger print, and then by data base, this fingerprint image is carried out matched and searched, to judge whether data base exists same fingerprint image, thus judging whether experimenter is validated user, otherwise, it is determined that the fingerprint image got is not belonging to living body finger print, stop follow-up fingerprint comparison.
Referring to Fig. 6, in one embodiment, before step 250, method as above is further comprising the steps of:
Step 310, is measured blood average transverse flow velocity in finger by accessory detection unit, obtains premeasuring result.
As it was previously stated, in like manner in measurement result, it was predicted that amount result by accessory detection unit 120 not in the same time opponent refer to that in same position, the measurement of blood average transverse flow velocity obtains, i.e. premeasuring result is the meansigma methods of this position blood transverse flow speed.
Step 330, relative to the diverse location of finger, obtains multiple premeasuring result, to obtain the distribution of blood transverse flow speed.
Owing to premeasuring result is just in the measurement of the not blood average transverse flow velocity of finger same position in the same time, in order to obtain the distribution of blood transverse flow speed, by by accessory detection unit 120 not in the same time opponent refer to diverse location blood average transverse flow velocity measurement, to pass through the multiple premeasuring results relative to the diverse location of finger got, form the distribution of blood transverse flow speed.
Step 350, the distribution according to the blood transverse flow speed obtained, the preset flow rate scope in order to carry out living body finger print identification is set.
After obtaining the distribution of blood transverse flow speed, namely can estimate the approximate range of blood transverse flow speed corresponding to living body finger print, in different application scenarios, preset flow rate scope is set according to the approximate range of estimation, for the identification of follow-up living body finger print.
Referring to Fig. 7, in one embodiment, by accessory detection unit, blood average transverse flow velocity in finger is measured, the step obtaining measurement result or premeasuring result comprises the following steps:
Step 410, obtains the optical signal through finger scattering.
No matter it is validated user, or experimenter, when its finger is positioned over living body finger print identification device, optical signal is sent by the first light source 1211 in accessory detection unit 120 optical module 121, and transmitted to sample arm 122 by incident optical 1212, it is incident in finger through window 1222 therein, lens 1221 successively, forms the optical signal through finger scattering with this, scatter to signal processing module 123 then through by lens 1221, window 1222.
Step 430, converts optical signals to the signal of telecommunication.
Signal processing module 123 receives after the optical signal of finger scattering, carries out opto-electronic conversion by photodetector 1231 therein, and by the signal of telecommunication transmission of conversion to microcontrol processor 1232.
Step 450, carries out intensity extraction and computing cross-correlation according to the signal of telecommunication, obtains measurement result or premeasuring result.
In microcontrol processor 1232, the signal of telecommunication received corresponds to not the same position of finger in the same time, through two-dimentional or three-dimensional picture construction, first obtain the scatter intensity distribution figure and diffusing structure figure of finger same position, again this diffusing structure figure is carried out intensity extraction and computing cross-correlation, thus obtaining the meansigma methods of the blood transverse flow speed of this position of finger.
By process as above so that living body finger print identification device has been sequentially carried out the contrast of fingerprint image, blood transverse flow speed, thus determining whether the fingerprint set is living body finger print exactly.
Foregoing, is only preferred embodiment of the present utility model, is not intended that the restriction to this utility model protection domain. Any amendment, equivalent replacement and improvement etc. made within spirit of the present utility model and principle, should be included within protection domain of the present utility model.
Claims (7)
1. a living body finger print identification device, including a body and be arranged at a described intrinsic fingerprint imaging unit, in order to obtain fingerprint image, it is characterized in that, described internal is additionally provided with an accessory detection unit, by described accessory detection unit, the measurement of blood average transverse flow velocity in finger is obtained measurement result, judge whether the fingerprint image obtained belongs to living body finger print with the comparative result according to described measurement result with preset flow rate scope.
2. device as claimed in claim 1, it is characterized in that, described accessory detection unit includes optical module, sample arm and the first signal processing module, described optical module is launched optical signal and transmits to described sample arm, by described sample arm, described optical signal is incident in described finger, and scatter to described first signal processing module, to obtain described measurement result by described first signal processing module.
3. device as claimed in claim 2, it is characterized in that, described optical module includes the first light source and Transmission Fibers, wherein, described Transmission Fibers includes incident optical and outgoing optical fiber, the optical signal transmission that described first light source is sent by described incident optical is to described sample arm, and described outgoing optical fiber is by by the optical signal transmission of described finger scattering to described first signal processing module.
4. device as claimed in claim 2, it is characterized in that, described sample arm includes lens and window, and the optical signal that described optical module is launched, via in described window, lens entrance extremely described finger, scatters to described first signal processing module then through by described lens, window.
5. device as claimed in claim 1, it is characterized in that, described fingerprint imaging unit includes secondary light source, prism and secondary signal processing module, described secondary light source launches blue light or green glow handles digital reflex, it is transferred through described prism and secondary signal processing module successively, to form described fingerprint image.
6. the device as described in claim 2 or 5, it is characterized in that, described first signal processing module and secondary signal processing module all include photodetector and microcontrol processor, the optical signal received is converted to the signal of telecommunication by described photodetector, the described signal of telecommunication carried out intensity extraction and computing cross-correlation by described microcontrol processor, obtain described measurement result, to carry out living body finger print identification according to described measurement result, or, by described microcontrol processor, the described signal of telecommunication is carried out picture construction and forms described fingerprint image.
7. device as claimed in claim 6, it is characterised in that described photodetector is photodiode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201521078181.6U CN205281523U (en) | 2015-12-19 | 2015-12-19 | Living body fingerprint recognition device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201521078181.6U CN205281523U (en) | 2015-12-19 | 2015-12-19 | Living body fingerprint recognition device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205281523U true CN205281523U (en) | 2016-06-01 |
Family
ID=56066079
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201521078181.6U Active CN205281523U (en) | 2015-12-19 | 2015-12-19 | Living body fingerprint recognition device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205281523U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106897715A (en) * | 2017-03-31 | 2017-06-27 | 努比亚技术有限公司 | A kind of unlocked by fingerprint processing method and mobile terminal |
| CN108121981A (en) * | 2018-02-26 | 2018-06-05 | 深圳市生强科技有限公司 | Finger print detection device |
-
2015
- 2015-12-19 CN CN201521078181.6U patent/CN205281523U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106897715A (en) * | 2017-03-31 | 2017-06-27 | 努比亚技术有限公司 | A kind of unlocked by fingerprint processing method and mobile terminal |
| CN108121981A (en) * | 2018-02-26 | 2018-06-05 | 深圳市生强科技有限公司 | Finger print detection device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN205384628U (en) | Living body fingerprint recognition device | |
| CN205405544U (en) | Living body fingerprint recognition device | |
| ATE371185T1 (en) | METHOD FOR AUTOMATIC INSPECTION OF OPTICALLY TRANSPARENT PLANAR OBJECTS | |
| ATE220202T1 (en) | METHOD AND DEVICE FOR DETERMINING AN ANALYTE IN A SCATTERING MATRIX | |
| DE69804612T2 (en) | METHOD FOR CHARACTERIZING SAMPLES USING STATISTICAL INTERMEDIATE DATA | |
| WO2007090147A3 (en) | Method and apparatus for measurement of optical properties in tissue | |
| CN106471449A (en) | There is the optical touch screen of loss dispersion FTIR layer | |
| CN205281523U (en) | Living body fingerprint recognition device | |
| CN103575239A (en) | Light beam parallel degree testing device and method | |
| CN205120285U (en) | Toughened glass surface stress measuring apparatu | |
| CN115273162A (en) | Organism detection system and method for identity verification | |
| CN109060312B (en) | Method for testing operating distance of visible light equipment based on controllable target | |
| CN110324611A (en) | A kind of camera module detection system and detection method | |
| CN109427216A (en) | To lock ship information real-time monitoring system | |
| CN106408557A (en) | Viscose long filament and broken filament detection method based on image processing technology | |
| CN105512636A (en) | Living fingerprint identification device and living fingerprint identification method | |
| CN105333980A (en) | Tempered glass surface stress measuring instrument | |
| CN205374301U (en) | Measure device of solution strength | |
| CN101398533A (en) | Stray light assessment method and system thereof | |
| DE60211986D1 (en) | Method and device for measuring the light transmission of lenses | |
| CN109471156A (en) | A kind of device and method for detecting optical cable routing trend | |
| CN201318936Y (en) | Contour measuring projection device | |
| CN108121981A (en) | Finger print detection device | |
| CN207717626U (en) | A kind of fluorescence immune chromatography analyzer | |
| CN206235769U (en) | A kind of mobile phone spectrometer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |