CN104778394A - SIFT (Scale Invariant Feature Transform) palmprint recognition method and device, and intelligent terminal - Google Patents
SIFT (Scale Invariant Feature Transform) palmprint recognition method and device, and intelligent terminal Download PDFInfo
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Abstract
The invention provides an SIFT (Scale Invariant Feature Transform) palmprint recognition method and device, and an intelligent terminal. The method comprises the following steps: acquiring a palmprint image to be verified by using a camera of the intelligent terminal; acquiring first SIFT feature points in the palmprint image to be verified, carrying out matching verification on the first SIFT feature points and second SIFT feature points in a registered palmprint image, and determining that the palmprint image to be verified passes the verification when the palmprint image to be verified is matched with the registered palmprint image. Due to the adoption of the scheme, the recognition process is simpler and more convenient.
Description
Technical field
The disclosure relates to intelligent terminal, particularly a kind of palm grain identification method based on SIFT and device, intelligent terminal.
Background technology
Intelligent terminal can access to your password and carry out safeguard protection; such as, can input password in smart mobile phone to verify; but also need user remember and input based on password; more loaded down with trivial details; in correlation technique; biological identification technology has started to be applied to intelligent terminal, and such as recognition of face and fingerprint recognition etc. identify approach.
Summary of the invention
For overcoming Problems existing in correlation technique, the disclosure provides a kind of palm grain identification method based on SIFT in intelligent terminal application and device, intelligent terminal, to make identifying more simple and convenient.
According to the first aspect of disclosure embodiment, provide a kind of palm grain identification method based on SIFT, described method is applied to intelligent terminal, and described method comprises:
By the camera collection of described intelligent terminal palmprint image to be verified;
Obtain the first SIFT feature point in described palmprint image to be verified, and described first SIFT feature point is carried out mating verify with the second SIFT feature point in registration palmprint image, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.
According to the second aspect of disclosure embodiment, provide a kind of personal recognition device based on SIFT, described application of installation is in intelligent terminal, and described device comprises:
The camera of described intelligent terminal, for gathering palmprint image to be verified;
Image authentication module, for obtaining the first SIFT feature point in described palmprint image to be verified, and described first SIFT feature point is carried out mating with the second SIFT feature point verify, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.
According to the third aspect of disclosure embodiment, a kind of intelligent terminal is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to: by the camera collection of described intelligent terminal palmprint image to be verified; Obtain the first SIFT feature point in described palmprint image to be verified, and the second SIFT feature point of described first SIFT feature point with registration palmprint image is carried out mating and verify, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect: carry out the personal recognition based on SIFT feature point by the palmprint image of the camera collection according to intelligent terminal, because this SIFT feature Point matching mode is comparatively simple, user operation is required relatively not harsh, also make personal recognition mode more simple and easy to use.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present disclosure, and is used from instructions one and explains principle of the present disclosure.
Fig. 1 is the block diagram of the personal recognition device based on SIFT according to an exemplary embodiment;
Fig. 2 is a kind of palm-print image capture schematic diagram according to an exemplary embodiment;
Fig. 3 is the process flow diagram of a kind of palm grain identification method based on SIFT according to an exemplary embodiment;
Fig. 4 is the palmprint image register flow path figure based on SIFT according to an exemplary embodiment;
Fig. 5 is the block diagram of a kind of intelligent terminal according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present disclosure are consistent.
Disclosure embodiment provides a kind of palm grain identification method that can be applied to intelligent terminal, forms the another kind identification approach different from the mode such as common fingerprint recognition.This intelligent terminal such as comprises: smart mobile phone, panel computer etc., and these terminals have the camera can taking image usually.
Fig. 1 illustrates the personal recognition device for performing palm grain identification method of the present disclosure, as shown in Figure 1, this device can be arranged in intelligent terminal, and this device can comprise: camera 11, image authentication module 12, image registration module 13 and data memory module 14.
Wherein, the camera 11 of intelligent terminal may be used for gathering image, and in palm grain identification method of the present disclosure, camera may be used for the palmmprint taking user.Such as, when this personal recognition being applied to the mobile phone unblock of user, mobile phone is after receiving user will perform the instruction of palmmprint unblock (such as, the transmission of this instruction can be that user clicks interface trigger option), mobile phone camera will be opened, the interface of display Fig. 2 example.In this interface, a region roughly can be limited by lead-frame 21, guide user to be placed on by the palm of oneself in the region A that this lead-frame 21 limits.
Exemplary, see Fig. 2, can also show " registration " or " checking " option in the interface of camera, perform above-mentioned user in the checking of palmmprint unblock, user will click " checking ", and triggering system performs the proof procedure of personal recognition.Continue composition graphs 1, camera 11 receive user by click verification option trigger palmmprint checking instruction after, the palmprint image of the user gathered at region A can be transferred to image authentication module 12, indicating image authentication module 12 starts to process palmprint image to be verified, namely indicates this image authentication module to start to verify the palmprint image of transmission.The palmprint image of this transmission, owing to will be verified by image authentication module 12, can be called " palmprint image to be verified ".
In personal recognition mode, such as, user is when unlocking with oneself mobile phone palmmprint, and system needs to judge that whether palmprint image to be verified is the palmmprint of user oneself, so the palmprint image of user oneself prestores, and can be called " registration palmprint image ".When verifying, if palmprint image to be verified mates with registration palmprint image, then can determine that this is the palmmprint of user oneself, being verified.Exemplary, registration palmprint image in the disclosure can be stored in intelligent terminal self, such as be stored in the storage space of terminal, namely shown in Fig. 1, registration palmprint image is stored in data memory module 14, image authentication module 12 can therefrom obtain registration palmprint image, for carrying out matching ratio comparatively with palmprint image to be verified.
The image authentication module 12 of disclosure embodiment is when carrying out image authentication process, what adopt is SIFT algorithm, this SIFT algorithm be based on image characteristic point matching ratio comparatively, therefore in actual enforcement, the registration palmprint image stored in data memory module 14, can be some SIFT feature points of the palmprint image of registration, instead of image itself.Such as, tens the SIFT feature points extracted from registration palmprint image can be comprised, and each unique point proper vector of 128 dimensions represents.Image authentication module 12 can carry out the coupling checking of image according to the flow process shown in Fig. 3:
301, the first SIFT feature point in described palmprint image to be verified is obtained;
Such as, image authentication module can carry out the extraction of unique point according to the step of SIFT algorithm, the unique point that the present embodiment will extract from palmprint image to be verified, can be called the first SIFT feature point, for distinguishing with other unique points.
Such as, the extracting mode of unique point can be, by process image at metric space by the potential point of interest for yardstick and invariable rotary of gaussian derivative function check, and on point of interest location, determine position and the yardstick of key point, gradient direction based on image local distributes direction to each key point, finally represents this key point i.e. the first SIFT feature point by a proper vector comprising the factors such as position, yardstick and direction.
302, carry out mating with the second SIFT feature point according to the first SIFT feature point and verify;
Such as, obtaining the first SIFT feature point of palmprint image to be verified, and from after data memory module 14 gets the second SIFT feature point of registration palmprint image, carrying out palmprint image to be verified according to these unique points and register comparing of palmprint image.
Such as, the quantity of the second SIFT feature point can be a lot, for one of them the second SIFT feature point, can search the first SIFT feature point whether existed with this second SIFT feature Point matching in the first numerous SIFT feature points.Such as, can by the measurement factor of the Euclidean distance between unique point as both similarity determinations, travel through the first numerous SIFT feature points, find two unique points nearest with the Euclidean distance of the second SIFT feature point (minimum distance and time closely), closely certain threshold value is less than divided by minimum distance if secondary, then think that the first SIFT feature point of minimum distance and this second SIFT feature point are a pair match points, can be called " matching characteristic point to ", namely matching characteristic point is to comprising the second SIFT feature point, and the first SIFT feature point to match with this second SIFT feature point.This step finds this matching characteristic point pair exactly between two image characteristic of correspondence points.
303, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.
Such as, if image authentication module 12 carry out the matching ratio in 302 comparatively time, in the given time, get the matching characteristic point pair of predetermined number, in 10 seconds, such as get 20 pairs of matching characteristic points (being only example), then can determine that palmprint image to be verified mates with registration palmprint image, show that palmprint image to be verified is the palmmprint of user oneself, be verified.When being verified, system can point out user rs authentication success by mobile phone interface, when authentication failed, also can carry out the prompting of authentication failed.
In the system shown in figure 1, also comprise image registration module 13 in disclosure embodiment supposing the system, namely user carries out palmmprint registration by this system, and carries out palmmprint checking by this identical system.Fig. 4 illustrates the flow process of palmmprint registration, can comprise:
401, by the palmprint image that the camera collection of intelligent terminal is to be registered;
Such as, shown in Fig. 2, camera interface can show " registration " option, when user clicks this option, camera receives palmmprint registration instruction, can indicating image Registering modules process registration palmprint image, namely indicating image Registering modules starts the palmprint image register flow path that carries out in following steps; In this step, camera starts the user's palmmprint in pickup area A, can be called palmprint image to be registered.
402, by obtaining the second SIFT feature point in palmprint image to be registered;
Such as, the palmprint image to be registered gathered can be transferred to image registration module by camera, and extract SIFT feature point in the images by image registration module, the unique point in this registration process can be called the second SIFT feature point.Further, can represent by the proper vector of 128 dimensions for each unique point.
403, judge whether to reach default amount of images;
In order to ensure the accuracy registered, usually can gather repeatedly data in registration process, being similar to the operation repeatedly inputting password in account registration at ordinary times.In the present embodiment, such as, in this registration process, image palmmprint to be registered can be gathered repeatedly, namely the unique point vector extracted in multiple image palmmprints is gathered, image registration module can judge whether to reach default collecting quantity, gathers, so judge whether to acquire five times for five times.If reached five times, then continue 404; Otherwise, return execution 401, again the palmprint image of pickup area A therefrom extract minutiae.
In concrete enforcement, the progress that mobile phone interface can point out user to register by the mode of progress bar, such as once terminating in collection is that progress bar display 20%, at the end of collection three times, progress bar can be pointed out and be reached 60%.
404, according to the second SIFT feature point of multiple palmprint image to be registered, matching ratio is carried out comparatively to described multiple palmprint image to be registered;
Such as, image registration module can to five of above-mentioned collection time image, carries out matching ratio each other comparatively, to guarantee the consistance gathering image.Such as, if five palmprint images gathered, be for twice user oneself, other is for three times other three friends of user, and the comparison so through this step will identify the inconsistent of this multi collect image, prevents and still succeeds in registration when image is different.
405, Satisfying Matching Conditions is judged whether;
Such as, the matching condition in registration process can set flexibly, such as, if at least occur that more than four times the match is successful, then can think and meet coupling, continues 406.Otherwise, return registration failure.
406, determine that palmprint image succeeds in registration.
Such as, when determining to succeed in registration, the unique point vector of five images gathered all can be kept at data memory module, for the matching ratio in successive image proof procedure comparatively.Such as, if any one in proof procedure in palmprint image to be verified and this five images is mated, then can think images match.
Exemplary, in above-mentioned multi collect palmprint image to be registered, image registration module multiple palmprint image to be registered is carried out matching ratio comparatively time, the the second SIFT feature Point matching at least existed in multiple palmprint image to be registered in two palmprint images to be registered if can suppose, then can determine that palmprint image succeeds in registration.And when concrete palmprint image to be registered Feature Points Matching between any two compares, can when at least there is the second SIFT feature Point matching of preset number in an image and another image wherein, think the Feature Points Matching of two palmprint images to be registered.
The palm grain identification method based on SIFT of the present embodiment, provide a kind of personal recognition scheme in the application of intelligent terminal side, feature due to SIFT algorithm is the unchangeability based on yardstick, rotation, this feature makes user when carrying out personal recognition, need not precisely aim at, this system just can detect Feature Points Matching to complete personal recognition, and user is very easy to use.
The method and personal recognition device can have various ways in a particular application, and the personal recognition device of such as disclosure embodiment can be embodied as separately a software form, such as mobile phone safe lock APP; Or this device also can be called by other service application, as ensureing a safe safety applications system in other service application implementations.
Fig. 5 is the block diagram of a kind of intelligent terminal 500 according to an exemplary embodiment.Such as, device 500 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 5, device 500 can comprise following one or more assembly: processing components 502, storer 504, power supply module 506, multimedia groupware 508, audio-frequency assembly 510, the interface 512 of I/O (I/O), sensor module 514, and communications component 516.
The integrated operation of the usual control device 500 of processing components 502, such as with display, call, data communication, camera operation and record operate the operation be associated.Treatment element 502 can comprise one or more processor 520 to perform instruction, to complete above-mentioned method: by the camera collection of described intelligent terminal palmprint image to be verified; Obtain the first SIFT feature point in described palmprint image to be verified, and the second SIFT feature point of described first SIFT feature point with registration palmprint image is carried out mating and verify, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.In addition, processing components 502 can comprise one or more module, and what be convenient between processing components 502 and other assemblies is mutual.Such as, processing element 502 can comprise multi-media module, mutual with what facilitate between multimedia groupware 508 and processing components 502.
Storer 504 is configured to store various types of data to be supported in the operation of equipment 500.The example of these data comprises the instruction of any application program for operating on device 500 or method, contact data, telephone book data, message, picture, video etc.Storer 504 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that electric power assembly 506 is device 500 provide electric power.Electric power assembly 506 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 500 and be associated.
Multimedia groupware 508 is included in the screen providing an output interface between described device 500 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 508 comprises a front-facing camera and/or post-positioned pick-up head.When equipment 500 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 510 is configured to export and/or input audio signal.Such as, audio-frequency assembly 510 comprises a microphone (MIC), and when device 500 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 504 further or be sent via communications component 516.In certain embodiments, audio-frequency assembly 510 also comprises a loudspeaker, for output audio signal.
I/O interface 512 is for providing interface between processing components 502 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 514 comprises one or more sensor, for providing the state estimation of various aspects for device 500.Such as, sensor module 514 can detect the opening/closing state of equipment 500, the relative positioning of assembly, such as described assembly is display and the keypad of device 500, the position of all right pick-up unit 500 of sensor module 514 or device 500 1 assemblies changes, the presence or absence that user contacts with device 500, the temperature variation of device 500 orientation or acceleration/deceleration and device 500.Sensor module 514 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 514 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 514 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 516 is configured to the communication being convenient to wired or wireless mode between device 500 and other equipment.Device 500 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communication component 516 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communication component 516 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 500 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer of instruction, above-mentioned instruction can be performed by the processor of device to complete said method.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
Those skilled in the art, at consideration instructions and after putting into practice invention disclosed herein, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.
Claims (13)
1. based on a palm grain identification method of SIFT, it is characterized in that, described method is applied to intelligent terminal, and described method comprises:
By the camera collection of described intelligent terminal palmprint image to be verified;
Obtain the first SIFT feature point in described palmprint image to be verified, and described first SIFT feature point is carried out mating verify with the second SIFT feature point in registration palmprint image, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.
2. method according to claim 1, is characterized in that, described determine palmprint image to be verified with registration palmprint image mate, comprising:
In the given time, get the matching characteristic point pair of predetermined number, described matching characteristic point is to the described first SIFT feature point comprising described second SIFT feature point and match with described second SIFT feature point.
3. method according to claim 1, is characterized in that, by the palmprint image to be verified of camera collection, before obtaining the first SIFT feature point, also comprises:
By in the registration palmprint image of camera collection, obtain and store described second SIFT feature point.
4. method according to claim 3, is characterized in that, described by the registration palmprint image of camera collection, obtains and stores described second SIFT feature point, comprising:
Obtain multiple palmprint image to be registered, and by obtaining the second SIFT feature point in each palmprint image to be registered;
According to described second SIFT feature point, matching ratio is carried out comparatively to described multiple palmprint image to be registered, if the second SIFT feature point at least existed in described multiple palmprint image to be registered in two palmprint images to be registered matches, determine that palmprint image succeeds in registration.
5. method according to claim 4, it is characterized in that, the second SIFT feature point in described two palmprint images to be registered matches, and comprising: the second SIFT feature point that at least there is predetermined number in a palmprint image to be registered in described two palmprint images to be registered matches with the multiple second SIFT feature points in another palmprint image to be registered in described two palmprint images to be registered respectively.
6. method according to claim 3, is characterized in that, also comprises:
Palmmprint registration instruction or palmmprint checking instruction is received by described camera.
7. based on a personal recognition device of SIFT, it is characterized in that, described application of installation is in intelligent terminal, and described device comprises:
The camera of described intelligent terminal, for gathering palmprint image to be verified;
Image authentication module, for obtaining the first SIFT feature point in described palmprint image to be verified, and described first SIFT feature point is carried out mating with the second SIFT feature point verify, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.
8. device according to claim 7, is characterized in that,
Described image authentication module, when determining that palmprint image to be verified mates with registration palmprint image, for: in the given time, get the matching characteristic point pair of predetermined number, described matching characteristic point is to the described first SIFT feature point comprising described second SIFT feature point and match with described second SIFT feature point.
9. device according to claim 7, is characterized in that, described device also comprises:
Image registration module, for by the registration palmprint image of camera collection, obtains the second SIFT feature point of described registration palmprint image;
Data memory module, for storing described second SIFT feature point.
10. device according to claim 9, is characterized in that,
Described image registration module, for obtaining multiple palmprint image to be registered, and by obtaining the second SIFT feature point in each image; According to described second SIFT feature point, matching ratio is carried out comparatively to described multiple palmprint image to be registered, if the second SIFT feature point at least existed in described multiple palmprint image to be registered in two palmprint images to be registered matches, determine that palmprint image succeeds in registration.
11. devices according to claim 10, it is characterized in that, the second SIFT feature point in described two palmprint images to be registered matches, and comprising: the second SIFT feature point that at least there is predetermined number in a palmprint image to be registered in described two palmprint images to be registered matches with the multiple second SIFT feature points in another palmprint image to be registered in described two palmprint images to be registered respectively.
12. devices according to claim 9, is characterized in that,
Described camera, also for: receive palmmprint registration instruction time, indicate described in described image registration resume module and register palmprint image; Or when receiving palmmprint checking instruction, indicate palmprint image to be verified described in described image authentication resume module.
13. 1 kinds of intelligent terminals, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to: by the camera collection of described intelligent terminal palmprint image to be verified; Obtain the first SIFT feature point in described palmprint image to be verified, and the second SIFT feature point of described first SIFT feature point with registration palmprint image is carried out mating and verify, when determining that palmprint image to be verified mates with registration palmprint image, determine that described palmprint image to be verified is verified.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105335731A (en) * | 2015-11-13 | 2016-02-17 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device as well as terminal equipment |
| CN108229255A (en) * | 2016-12-21 | 2018-06-29 | 江苏迪康姆生物技术有限公司 | A kind of palmmprint acquires all-in-one machine |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1972186A (en) * | 2005-11-24 | 2007-05-30 | 中国科学院自动化研究所 | A mobile identity authentication system and its authentication method |
| CN103440480A (en) * | 2013-06-05 | 2013-12-11 | 哈尔滨工业大学 | Non-contact palmprint recognition method based on palmprint image registration |
| CN103729640A (en) * | 2013-12-24 | 2014-04-16 | 小米科技有限责任公司 | Finger vein feature extraction method and device and terminal |
| US20150078634A1 (en) * | 2013-09-18 | 2015-03-19 | Blackberry Limited | Multicolor biometric scanning user interface |
-
2015
- 2015-04-23 CN CN201510199773.1A patent/CN104778394A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1972186A (en) * | 2005-11-24 | 2007-05-30 | 中国科学院自动化研究所 | A mobile identity authentication system and its authentication method |
| CN103440480A (en) * | 2013-06-05 | 2013-12-11 | 哈尔滨工业大学 | Non-contact palmprint recognition method based on palmprint image registration |
| US20150078634A1 (en) * | 2013-09-18 | 2015-03-19 | Blackberry Limited | Multicolor biometric scanning user interface |
| CN103729640A (en) * | 2013-12-24 | 2014-04-16 | 小米科技有限责任公司 | Finger vein feature extraction method and device and terminal |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105335731A (en) * | 2015-11-13 | 2016-02-17 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device as well as terminal equipment |
| CN108229255A (en) * | 2016-12-21 | 2018-06-29 | 江苏迪康姆生物技术有限公司 | A kind of palmmprint acquires all-in-one machine |
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