CN101976358A - Holographic human body biological feature recognition device and method - Google Patents
Holographic human body biological feature recognition device and method Download PDFInfo
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- CN101976358A CN101976358A CN 201010527385 CN201010527385A CN101976358A CN 101976358 A CN101976358 A CN 101976358A CN 201010527385 CN201010527385 CN 201010527385 CN 201010527385 A CN201010527385 A CN 201010527385A CN 101976358 A CN101976358 A CN 101976358A
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Abstract
The invention discloses a holographic human body biological feature recognition device and method. The method mainly aims to overcome the defects in the prior human body biological feature recognition techniques, such as fingerprint recognition, face recognition and the like. The holographic human body biological feature recognition device comprises a laser holographic camera, a memory, a digital signal processor, a synchronous dynamic memory and a display unit, wherein the laser holographic camera is used for shooting and outputting human body biological feature holographic images; the memory is used for establishing a holographic image database and storing human body biological feature holographic image information; the digital signal processor is used for receiving holographic image information output by the laser holographic camera, preprocessing the holographic image information, analyzing and comparing the processed image information and the holographic image information in the holographic image database, and outputting comparison result information; the synchronous dynamic memory is used for temporarily storing arithmetic data in the digital signal processor and data which is exchanged with the memory or external memory device; and the display unit is used for displaying the result output by the digital signal processor. The invention has the advantages of high recognition rate and high accuracy.
Description
Technical field
The present invention relates to a kind of human body biological characteristics identification field, particularly a kind of holographic human-body biological recognition device and method.
Background technology
Human body biological characteristics has mainly showed fingerprint characteristic, face characteristic and iris feature etc., has uniqueness, uniqueness and difficult mimetism, so biometrics identification technology is described as 21 century human society is brought one of sex great technology of revolution.
Present fingerprint identification technology is to utilize semiconductor fingerprint sensor or general optical fingerprint sensor, gather user fingerprints and set up fingerprint mould storehouse, adopt fuzzy matching algorithm or similarity comparison scheduling algorithm to mate user fingerprints and the template fingerprint gathered in real time, determine according to matching result whether two fingerprint images come from same people.But in actual applications because the problems such as breakage that Human Physiology difference or fingerprint cause because of extraneous factor, semiconductor fingerprint sensor that uses and general optical fingerprint sensor are because separately principle and characteristic all have certain limitation at present, all there is the lower problem of fingerprint image quality of gathering, can produces certain influence the result who discerns.
Existing face recognition technology is to take to absorb the calculating of comparing of facial image and template image, adopts methods such as linear discriminant analysis, judges the method that authenticates for less than predetermined threshold value the time according to the minimum value of dissimilar degree.But in actual applications, the environment of recognition of face utilization is changeable, is that infrared two-dimension human face recognition technology or three-dimensional face recognition technology all can be subjected to because of illumination condition, expression shape change, and attitude angle difference etc. has influence on the effect of identification.
Summary of the invention
In order to overcome above-mentioned defective, the invention provides a kind of feature identification rate height, and holographic human body biological characteristics recognition device in accuracy rate highland and method.
For achieving the above object, holographic human body biological characteristics recognition device of the present invention comprises: the laser hologram image pick-up device, and storer, digital signal processor, synchronous dynamic random access memory and display, wherein:
The laser hologram image pick-up device is taken human body biological characteristics hologram image and output;
Storer is set up the hologram image database, storage human body biological characteristics hologram image information;
Digital signal processor, receive the hologram image information of described laser hologram image pick-up device output, this hologram image information is carried out pre-service, and the hologram image information in image information after will handling and the described hologram image database is analysed and compared output comparison result information;
Synchronous dynamic random access memory is temporarily deposited the operational data in the described digital signal processor, and with the data of described storer or External memory equipment exchange;
Display is used to the comparison result that shows that described digital signal processor is exported.
Further, also comprise: keyboard, real-time timepiece chip, hummer and USB interface chip.
Holographic method for identifying human body biological characteristics of the present invention may further comprise the steps:
(1) sets up the hologram image database;
(2) the laser hologram image pick-up device is taken human body biological characteristics hologram image and output;
(3) digital signal processor receives hologram image information, and it is carried out pre-service;
(4) the hologram image information of having stored in pretreated image information and the hologram image database is analysed and compared, and the output result.
Wherein, the pre-service described in the step (3) is for to carry out normalized to the hologram image information that receives.
Step (4) specific implementation step is as follows:
4.1 establish cycle index T=1, goodness of fit threshold value;
4.2 the feature that adopts deterministic encoding method or linear discriminant analysis method to extract pretreated image information generates testing image;
4.3 adopt overlap ratio that method is compared to the sample image in testing image and the hologram image database, draw goodness of fit value, judge that goodness of fit value whether greater than goodness of fit threshold value, is, the match is successful in output, and export this sample image; Not, the output coupling is unsuccessful, continues to carry out next step;
4.4 judge T, be, testing image is stored in the hologram image database, not, make T=T+1, and return step 4.2 whether greater than 3.
The present invention has utilized the characteristics of hologram image, adopt whole geometric properties information of laser hologram camera technique record human body biological characteristics, having adopted the linear discriminant analysis method that sample image has been carried out analyzing then extracts feature and generates testing image, adopt overlap ratio that method is compared to the sample image of having stored in testing image and the hologram image database at last, finally export comparison result.The present invention has adopted the linear discriminant analysis method to eliminate illumination condition, and the influence of attitude angle has improved efficient and accuracy rate to human body biological characteristics identification greatly.
Description of drawings
Fig. 1 is the structural representation of holographic human body biological characteristics recognition device of the present invention;
Fig. 2 is the process flow diagram of holographic method for identifying human body biological characteristics of the present invention.
Embodiment
Below in conjunction with Figure of description the specific embodiment of the present invention is done detailed description.
The structural representation of holographic human body biological characteristics recognition device of the present invention as shown in Figure 1.Comprise: the laser hologram image pick-up device, storer, digital signal processor, synchronous dynamic random access memory and display, wherein:
The laser hologram image pick-up device is taken human body biological characteristics hologram image and output;
Storer is set up the hologram image database, storage human body biological characteristics hologram image information;
Digital signal processor, receive the hologram image information of described laser hologram image pick-up device output, this hologram image information is carried out pre-service, and the hologram image information of having stored in image information after will handling and the described hologram image database is analysed and compared output comparison result information;
Synchronous dynamic random access memory is temporarily deposited the operational data in the described digital signal processor, and with the data of described storer or External memory equipment exchange;
Display is used to the comparison result that shows that described digital signal processor is exported.
In addition, the present invention also comprises: keyboard, real-time timepiece chip, hummer and USB interface chip.
The built-in human body biological characteristics identification module of digital signal processor of the present invention, by external bus and synchronous dynamic random access memory, display, the USB interface chip connects, and by I/O IO interface connected storage, keyboard and hummer are (wherein, hummer is used to remind the output of matching result), by the real-time timepiece chip of serial ports connecting band backup battery, for this device provides real-time clock, described laser image pick-up device and described digital signal processor communicate to connect.The external 12V direct supply of holographic human body biological characteristics of the present invention is used to provide self electric weight demand.
The process flow diagram of holographic method for identifying human body biological characteristics of the present invention as shown in Figure 2, concrete steps are described as follows:
(1) sets up the hologram image database;
(2) the laser hologram image pick-up device is taken human body biological characteristics hologram image and output;
(3) digital signal processor receives hologram image information, and it is carried out pre-service;
(4) the hologram image information of having stored in pretreated image information and the hologram image database is analysed and compared, and the output result.
4.1 establish cycle index T=1, goodness of fit threshold value;
4.2 the feature that adopts deterministic encoding method or linear discriminant analysis method to extract pretreated image information generates testing image;
4.3 adopt overlap ratio that method is compared to the sample image in testing image and the hologram image database, draw goodness of fit value, judge that goodness of fit value whether greater than goodness of fit threshold value, is, the match is successful in output, and export this sample image; Not, the output coupling is unsuccessful, continues to carry out next step;
4.4 judge T, be, testing image is stored in the hologram image database, not, make T=T+1, and return step 4.2 whether greater than 3.
Wherein, the pre-service described in the step (3) is for to carry out normalized to the hologram image information that receives.Described goodness of fit threshold value is set according to empirical value.
Described laser holography technology is an information of utilizing two bundle laser interference record subjects, and wherein a branch of illumination is called object beam to the object that is taken, and another bundle shines on the holographic dry plate, is called reference beam.After object beam was by the object reflection, its folded light beam also shone on the holographic dry plate, finishes holography, had therefore discharged the interference and the influence of ambient light, belonged to initiatively light sensation imaging, can take than distinct image.Described laser hologram camera technique can all be noted whole how much linear features of subject and the light and shade of each dotted line of object and the information of locus, forms holographic three-dimensional image.In addition.Laser holography technology has stronger restore funcitons, even template image or sample image take place damagedly also can reply overall picture according to remnant, carries out ratio accurately and differentiates.
In the literary composition, described doubling of the image comparison method is the degree of overlapping comparison of overlapping realization two width of cloth images in a figure layer with testing image and sample image.When using image comparison method to test, the digital picture scale of separate sources should be adjusted to unanimity.
Described linear discriminate analysis (Linear Discriminant Analysis, LDA), also be called Fisher linear discriminant (Fisher Linear Discriminant, FLD), be the classic algorithm of pattern-recognition, it introduced pattern-recognition and artificial intelligence field in 1996 by Belhumeur.The basic thought of linear discriminant analysis is that the pattern sample with higher-dimension projects to best discriminant vector space, to reach the effect that extracts classified information and compressive features space dimensionality, Assured Mode sample distance in there are maximum between class distance and minimum class in new subspace after the projection, promptly pattern has best separability in this space.Therefore, it is a kind of effective feature extraction method.What the set of eigenvectors that the Fisher linear discriminant analysis is extracted was emphasized is the variation of difference rather than lighting condition, human face expression and the direction of different people face.Thereby, adopt the FLD method to illumination condition, the variation of human face posture etc. is not too responsive, thereby helps to improve recognition effect.In addition, described deterministic encoding characteristic method also is a kind of feature extracting methods.
The present invention adopts laser hologram to gather fingerprint technique, it is low thoroughly to have solved existing human body biological characteristics recognition system such as fingerprint recognition system or face identification system recognition efficiency, problems such as accuracy rate is low have improved stability, accuracy and the reliability of human body biological characteristics identification greatly.In addition, the software and hardware of holographic human body biological characteristics recognition device of the present invention adopts the embedded platform design, this recognition device is embedded in the similar system such as ATM, POS machine, credit card, gate inhibition and antitheft security system, for it provides the recognition technology support of biological characteristic such as fingerprint or people's face etc.
More than; only be preferred embodiment of the present invention, but protection scope of the present invention is not limited thereto, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain that claim was defined.
Claims (5)
1. a holographic human body biological characteristics recognition device is characterized in that, comprising: the laser hologram image pick-up device, and storer, digital signal processor, synchronous dynamic random access memory and display, wherein:
The laser hologram image pick-up device is taken human body biological characteristics hologram image and output;
Storer is set up the hologram image database, storage human body biological characteristics hologram image information;
Digital signal processor, receive the hologram image information of described laser hologram image pick-up device output, this hologram image information is carried out pre-service, and the hologram image information in image information after will handling and the described hologram image database is analysed and compared output comparison result information;
Synchronous dynamic random access memory is temporarily deposited the operational data in the described digital signal processor, and with the data of described storer or External memory equipment exchange;
Display is used to the comparison result that shows that described digital signal processor is exported.
2. according to the described holographic human body biological characteristics recognition device of claim 1, it is characterized in that, also comprise: keyboard, real-time timepiece chip, hummer and USB interface chip.
3. holographic method for identifying human body biological characteristics is characterized in that: may further comprise the steps:
(1) sets up the hologram image database;
(2) the laser hologram image pick-up device is taken human body biological characteristics hologram image and output;
(3) digital signal processor receives hologram image information, and it is carried out pre-service;
(4) the hologram image information of having stored in pretreated image information and the hologram image database is analysed and compared, and the output result.
4. according to the described holographic method for identifying human body biological characteristics of claim 3, it is characterized in that the pre-service described in the step (3) is for to carry out normalized to the hologram image information that receives.
5. according to the described holographic method for identifying human body biological characteristics of claim 3, it is characterized in that step (4) specific implementation step is as follows:
4.1 establish cycle index T=1, goodness of fit threshold value;
4.2 adopt deterministic encoding method or linear discriminant analysis method to extract the feature of pretreated image information, and generate testing image;
4.3 adopt overlap ratio that method is compared to the sample image in testing image and the hologram image database, draw goodness of fit value, judge that goodness of fit value whether greater than goodness of fit threshold value, is, the match is successful in output, and export this sample image; Not, the output coupling is unsuccessful, continues to carry out next step;
4.4 judge T, be, testing image is stored in the hologram image database, not, make T=T+1, and return step 4.2 whether greater than 3.
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| CN102509387A (en) * | 2011-10-04 | 2012-06-20 | 徐国元 | Bank card holographic human biological characteristic identification device and method |
| WO2018058833A1 (en) * | 2016-09-29 | 2018-04-05 | 宇龙计算机通信科技(深圳)有限公司 | Verification method, verification device, terminal and server |
| CN109567815A (en) * | 2018-10-23 | 2019-04-05 | 电子科技大学 | A kind of remote monitoring method of Infant behavior state |
| CN110197124A (en) * | 2019-04-30 | 2019-09-03 | 北京集光通达科技股份有限公司 | Face identification system and method |
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Application publication date: 20110216 |