CN109034112A - Reliable hospital face checkout mechanism - Google Patents
Reliable hospital face checkout mechanism Download PDFInfo
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- CN109034112A CN109034112A CN201810943615.6A CN201810943615A CN109034112A CN 109034112 A CN109034112 A CN 109034112A CN 201810943615 A CN201810943615 A CN 201810943615A CN 109034112 A CN109034112 A CN 109034112A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/169—Holistic features and representations, i.e. based on the facial image taken as a whole
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/20—Point-of-sale [POS] network systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/242—Aligning, centring, orientation detection or correction of the image by image rotation, e.g. by 90 degrees
Abstract
The present invention relates to a kind of reliable hospital face checkout mechanisms, comprising: information alert equipment is arranged in hospital's checkout stand, for carrying out live display to the misalignment angle when receiving misalignment angle；Content capture apparatus is arranged in hospital's checkout stand, for carrying out picture material acquisition in face of check-out request people, to export corresponding checkout people's image；Equilibrium degree extract equipment, it connect with the content capture apparatus, for receiving checkout people's image, the gray scale balance degree of checkout people's image is detected, to obtain the corresponding current equalization degree of checkout people's image, and export the corresponding current equalization degree of checkout people's image；Checkout executes equipment, and when for being less than limitation in the misalignment angle received, the corresponding facial characteristics of identification face contour carries out live checkout movement based on the corresponding electronic account of the facial characteristics.Through the invention, the payment efficiency of medical expense is accelerated.
Description
Technical field
The present invention relates to facial payment technical field more particularly to a kind of reliable hospital face checkout mechanisms.
Background technique
Facial feature detection is after detecting face and positioning facial key feature points, main human face region
It is cropped to come out, after pretreatment, the recognizer of feed-in rear end.Recognizer will complete the extraction of face characteristic, and
It is compared with the known face of inventory, completes final classification.
Summary of the invention
In order to solve the low technical problem of current medicine payment automatization level, the present invention provides a kind of reliable doctors
Institute's face checkout mechanism, the angle for deviateing vertical plane based on the face contour recognized determine whether to be able to carry out facial checkout
Operation, reaching when side in preset range in angle allows to carry out face checkout operation, otherwise, carries out live prompting, is improving
While the efficiency of hospital's checkout, the reliability of hospital's checkout ensure that；And the distribution based on speckle regions each in image
Situation selects corresponding mean filter window, and in the mean filter window centered on the pixel by image, described in distance
The pixel of image is closer, and weight coefficient is bigger, improves the filter effect of picture signal.
According to an aspect of the present invention, a kind of reliable hospital face checkout mechanism is provided, the mechanism includes:
Information alert equipment is arranged in hospital's checkout stand, for when receiving misalignment angle, to the misalignment angle
Carry out live display；Content capture apparatus is arranged in hospital's checkout stand, obtains for carrying out picture material in face of check-out request people
It takes, to export corresponding checkout people's image；Equilibrium degree extract equipment is connect with the content capture apparatus, described for receiving
Checkout people's image detects the gray scale balance degree of checkout people's image, and to obtain, checkout people's image is corresponding to work as
Preceding equilibrium degree, and export the corresponding current equalization degree of checkout people's image；Image equalization equipment is set with equilibrium degree extraction
Standby connection is used for when the corresponding current equalization degree of checkout people's image is not within the scope of default equilibrium degree, to the checkout
The corresponding current equalization degree of people's image executes gray scale balance movement, so that the corresponding current equalization degree of checkout people's image is fallen
Within the scope of the default equilibrium degree；Described image equalizing equipment is after having executed gray scale balance movement, output and the checkout
The corresponding gray scale balance image of people's image；Radial radius acquires equipment, connect with described image equalizing equipment, described for receiving
Gray scale balance image carries out Spot recognition to the gray scale balance image, to obtain each spot in the gray scale balance image
Point region, measures the radial radius of each speckle regions, the radial radius of each speckle regions is carried out size sequence, to obtain
Take maximum radial radius therein；Window definition equipment is connect, for obtaining the maximum with the radial radius acquisition equipment
The shape of the corresponding speckle regions of radial radius, based on the corresponding speckle regions of the maximum radial radius shape determine it is corresponding
Mean filter window；Signal replacement equipment is connect with the radial radius acquisition equipment and the window definition equipment respectively,
For receiving the mean filter window, following filtering processing operation is executed to the pixel of the gray scale balance image: in institute
It states in gray scale balance image, obtains each picture in the mean filter window centered on the pixel of the gray scale balance image
Each pixel value of vegetarian refreshments is used as target pixel value, in the mean filter window centered on the pixel of the gray scale balance image
In mouthful, the pixel apart from the gray scale balance image is closer, and weight coefficient is bigger, is based on each target pixel value and difference
Corresponding weight coefficient determines the replacement pixel value of the pixel of the gray scale balance image to replace the gray scale balance image
Pixel original pixel value, to obtain the gray scale balance image corresponding data replacement image；It is replaced in the signal
In exchange device, the pixel of the gray scale balance image is determined based on each target pixel value and corresponding weight coefficient
Replacement pixel value with the original pixel value for replacing the pixel of the gray scale balance image include: by each target pixel value
It is multiplied to obtain the corresponding product term of the target pixel value with corresponding weight coefficient, each by each target pixel value multiplies
Product item is added, and will add up result divided by the sum of each weight coefficient of each target pixel value to obtain the gray scale balance image
Pixel replacement pixel value；Transform domain filter apparatus is connect with the signal replacement equipment, is replaced for receiving the data
Image is changed, transform domain filtering processing is executed to data replacement image, to obtain corresponding transform domain filtering image, and is exported
The transform domain filtering image；Angle recognition equipment is connect with the transform domain filter apparatus, for receiving the transform domain filter
Wave image extracts the face contour in the transform domain filtering image, and determines it partially based on face contour is extracted
Angle from vertical plane, to be exported as misalignment angle；Checkout executes equipment, connect, is used for the angle recognition equipment
When the misalignment angle is less than limitation, the corresponding facial characteristics of the face contour is identified, be based on the facial characteristics pair
The electronic account answered carries out live checkout movement.
More specifically, in reliable hospital face checkout mechanism: in the window definition equipment, based on described
The shape of the corresponding speckle regions of maximum radial radius determines that corresponding mean filter window includes: corresponding mean filter window
The shapes of shape speckle regions corresponding with the maximum radial radius match.
More specifically, in reliable hospital face checkout mechanism: in the window definition equipment, based on described
The shape of the corresponding speckle regions of maximum radial radius determines that corresponding mean filter window includes: corresponding mean filter window
Radial radius match with the maximum radial radius.
More specifically, in reliable hospital face checkout mechanism: the signal replacement equipment includes filter window
Receiving unit, distance detection unit, weight coefficient determination unit and filtering execution unit.
More specifically, the reliable hospital face checkout mechanism in: the distance detection unit respectively with the filter
Wave window reception unit is connected with the weight coefficient determination unit.
More specifically, the reliable hospital face checkout mechanism in: the weight coefficient determination unit respectively with institute
Distance detection unit is stated to connect with the filtering execution unit.
More specifically, in reliable hospital face checkout mechanism: the transform domain filter apparatus, the angle are known
Other equipment and the checkout execute equipment and are all disposed in hospital's checkout stand.
More specifically, in reliable hospital face checkout mechanism: the angle recognition equipment is mentioned with the information
Show that equipment connects, for when the misalignment angle is more than limitation, the misalignment angle to be sent to the information alert equipment.
More specifically, in reliable hospital face checkout mechanism: the checkout executes equipment and is also used to described
When misalignment angle is more than limitation, stop the identification to the corresponding facial characteristics of the face contour.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is according to the outer of the content capture apparatus of the reliable hospital face checkout mechanism shown in embodiment of the present invention
Shape structure chart.
Specific embodiment
The embodiment of reliable hospital face checkout mechanism of the invention is described in detail below with reference to accompanying drawings.
In terms of facial feature detection is concentrated mainly on two dimensional image, two-dimension human face identification mainly using be distributed on face from
Low to high 80 nodes or punctuate carry out authentication by the spacing between measurement eyes, cheekbone, chin etc..Face is known
Other algorithm mainly has:
1, based on the method for template matching: template is divided into two dimension pattern plate and three-dimensional template, core concept: utilizing the face of people
Characteristic rule establishes the adjustable model framework of solid, is positioned and is adjusted with model framework after the face location for orienting people
The face feature position of people solves the viewing angle in face recognition process, blocks and the influence of the factors such as expression shape change.
2, be based on singular value features method: the singular value features of facial image matrix reflect the essential attribute of image, can
To be utilized to carry out Classification and Identification.
3, sub-space analysis method: because it has the characteristics that descriptive strong, good, the quilt that calculates small cost, easy realization and separability
It is widely used in face characteristic extraction, becomes one of the main stream approach of current face's identification.
4, locality preserving projections (Locality Preserving Projections, LPP): being a kind of new subspace
Analysis method, it is the linear approximation of nonlinear method Laplacian Eigen map, has both solved the conventional linears sides such as PCA
Method is difficult to keep the shortcomings that initial data non-linearity manifold, and solves nonlinear method and be difficult to obtain new sample point low dimension projective
The shortcomings that.
5, a kind of important method of principal component analysis (PCA): PCA area of pattern recognition, has been widely used in face
In recognizer, significant obstacle: incremental learning problem is faced with based on PCA face identification system in the application.Increment PCA
Algorithm reconstructs mostly important PCS by newly-increased sample, but this method needs constantly to give up some inessential with the increase of sample
PC, to maintain subspace dimension constant, thus this method precision is slightly worse.
6, other methods: Elastic Matching method, eigenfaces (being converted based on KL), artificial neural network method, supporting vector
Machine method is based on integral image characteristic method (adaboost study), is based on probabilistic model method.
In order to overcome above-mentioned deficiency, the present invention has built a kind of reliable hospital face checkout mechanism, can effectively solve the problem that
Corresponding technical problem.
Fig. 1 is according to the outer of the content capture apparatus of the reliable hospital face checkout mechanism shown in embodiment of the present invention
Shape structure chart.Wherein, 1 is cmos sensor, and 2 be crawl platform, and 3 be protection shell.
Show according to an embodiment of the present invention reliable hospital face checkout mechanism include:
Information alert equipment is arranged in hospital's checkout stand, for when receiving misalignment angle, to the misalignment angle
Carry out live display；
Content capture apparatus is arranged in hospital's checkout stand, for carrying out picture material acquisition in face of check-out request people, with
The corresponding checkout people's image of output；
Equilibrium degree extract equipment is connect with the content capture apparatus, for receiving checkout people's image, to the knot
The gray scale balance degree of account people's image detects, to obtain the corresponding current equalization degree of checkout people's image, and described in output
The corresponding current equalization degree of checkout people's image；
Image equalization equipment is connect with the equilibrium degree extract equipment, for corresponding current in checkout people's image
When equilibrium degree is not within the scope of default equilibrium degree, it is dynamic that gray scale balance is executed to the corresponding current equalization degree of checkout people's image
Make, so that the corresponding current equalization degree of checkout people's image is fallen within the scope of the default equilibrium degree；Described image is balanced
Equipment exports gray scale balance image corresponding with checkout people's image after having executed gray scale balance movement；
Radial radius acquires equipment, connect with described image equalizing equipment, for receiving the gray scale balance image, to institute
It states gray scale balance image progress Spot recognition and measures each to obtain each speckle regions in the gray scale balance image
The radial radius of each speckle regions is carried out size sequence, to obtain maximum radial therein by the radial radius of speckle regions
Radius；
Window definition equipment is connect with the radial radius acquisition equipment, corresponding for obtaining the maximum radial radius
Speckle regions shape, corresponding mean filter window is determined based on the shape of the corresponding speckle regions of the maximum radial radius
Mouthful；
Signal replacement equipment is connect, for connecing respectively with the radial radius acquisition equipment and the window definition equipment
The mean filter window is received, following filtering processing operation is executed to the pixel of the gray scale balance image: in the gray scale
In balanced image, each pixel in the mean filter window centered on the pixel of the gray scale balance image is obtained
Each pixel value is used as target pixel value, in the mean filter window centered on the pixel of the gray scale balance image,
Pixel apart from the gray scale balance image is closer, and weight coefficient is bigger, based on each target pixel value and respectively corresponds
Weight coefficient determine the gray scale balance image pixel replacement pixel value to replace the picture of the gray scale balance image
The original pixel value of vegetarian refreshments, to obtain the corresponding data replacement image of the gray scale balance image；It is set in signal replacement
In standby, replacing for the pixel of the gray scale balance image is determined based on each target pixel value and corresponding weight coefficient
Change pixel value with replace the original pixel value of the pixel of the gray scale balance image include: by each target pixel value with it is right
The weight coefficient answered is multiplied to obtain the corresponding product term of the target pixel value, by each product term of each target pixel value
It is added, will add up the picture that result obtains the gray scale balance image divided by the sum of each weight coefficient of each target pixel value
The replacement pixel value of vegetarian refreshments；
Transform domain filter apparatus is connect with the signal replacement equipment, for receiving the data replacement image, to described
Data replace image and execute transform domain filtering processing, to obtain corresponding transform domain filtering image, and export the transform domain filter
Wave image；
Angle recognition equipment is connect with the transform domain filter apparatus, for receiving the transform domain filtering image, to institute
The face contour stated in transform domain filtering image extracts, and determines that it deviates vertical plane based on face contour is extracted
Angle, to be exported as misalignment angle；
Checkout executes equipment, connect with the angle recognition equipment, for knowing when the misalignment angle is less than limitation
The corresponding facial characteristics of not described face contour carries out live checkout movement based on the corresponding electronic account of the facial characteristics.
Then, continue that the specific structure of reliable hospital face checkout mechanism of the invention is further detailed.
In reliable hospital face checkout mechanism: in the window definition equipment, being based on the maximum radial
The shape of the corresponding speckle regions of radius determine corresponding mean filter window include: corresponding mean filter window shape with
The shape of the corresponding speckle regions of the maximum radial radius matches.
In reliable hospital face checkout mechanism: in the window definition equipment, being based on the maximum radial
The shape of the corresponding speckle regions of radius determines that corresponding mean filter window includes: radial the half of corresponding mean filter window
Diameter matches with the maximum radial radius.
The reliable hospital face checkout mechanism in: the signal replacement equipment include filter window receiving unit,
Distance detection unit, weight coefficient determination unit and filtering execution unit.
In reliable hospital face checkout mechanism: the distance detection unit is received with the filter window respectively
Unit is connected with the weight coefficient determination unit.
In reliable hospital face checkout mechanism: the weight coefficient determination unit is detected with the distance respectively
Unit is connected with the filtering execution unit.
The reliable hospital face checkout mechanism in: the transform domain filter apparatus, the angle recognition equipment and
The checkout executes equipment and is all disposed in hospital's checkout stand.
In reliable hospital face checkout mechanism: the angle recognition equipment and the information alert equipment connect
It connects, for when the misalignment angle is more than limitation, the misalignment angle to be sent to the information alert equipment.
In reliable hospital face checkout mechanism: the checkout executes equipment and is also used to surpass in the misalignment angle
When crossing limitation, stop the identification to the corresponding facial characteristics of the face contour.
In addition, in the transform domain filter apparatus, image filtering, i.e., under conditions of retaining image minutia as far as possible
The noise of target image is inhibited, is indispensable operation in image preprocessing, the quality for the treatment of effect will be direct
Influence the validity and reliability of subsequent image processing and analysis.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture formed at it, transmission log mistake
The often pollution by a variety of noises in journey.In addition, certain links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one on the image and cause the isolated of stronger visual effect
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, cause bright, dim spot to interfere image, greatly reduce picture quality, influence image restoration,
The progress of the subsequent work such as segmentation, feature extraction, image recognition.The filter for constructing a kind of effectively inhibition noise must be taken into consideration
Two basic problems: the noise that can be effectively removed in target and background；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One of common image filtering mode is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
When composing aliasing or such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, if Fourier converts, while filtering out noise, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for leading to the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relationship to input signal, often a certain specific noise approximatively can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
Using reliable hospital face checkout mechanism of the invention, paid for prior art traditional Chinese medicine payment for medical care excessively numerous
Trivial technical problem determines whether to be able to carry out facial knot by the angle for deviateing vertical plane based on the face contour recognized
Account operation, reaching when side in preset range in angle allows to carry out face checkout operation, otherwise, carries out live prompting, is improving
While the efficiency of hospital's checkout, the reliability of hospital's checkout ensure that；And point based on speckle regions each in image
Cloth situation selects corresponding mean filter window, and in the mean filter window centered on the pixel by image, apart from institute
The pixel for stating image is closer, and weight coefficient is bigger, improves the filter effect of picture signal, asks to solve above-mentioned technology
Topic.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (9)
- The mechanism 1. a kind of reliable hospital face is settled accounts, the mechanism include:Information alert equipment is arranged in hospital's checkout stand, for being carried out to the misalignment angle when receiving misalignment angle Scene display；Content capture apparatus is arranged in hospital's checkout stand, for carrying out picture material acquisition in face of check-out request people, with output Corresponding checkout people's image；Equilibrium degree extract equipment is connect with the content capture apparatus, for receiving checkout people's image, to the checkout people The gray scale balance degree of image is detected, and to obtain the corresponding current equalization degree of checkout people's image, and exports the checkout The corresponding current equalization degree of people's image；Image equalization equipment is connect with the equilibrium degree extract equipment, in the corresponding current equalization of checkout people's image When degree is not within the scope of default equilibrium degree, gray scale balance movement is executed to the corresponding current equalization degree of checkout people's image, with So that the corresponding current equalization degree of checkout people's image is fallen within the scope of the default equilibrium degree；Described image equalizing equipment exists After having executed gray scale balance movement, gray scale balance image corresponding with checkout people's image is exported；Radial radius acquires equipment, connect with described image equalizing equipment, for receiving the gray scale balance image, to the ash It spends balanced image progress Spot recognition and measures each spot to obtain each speckle regions in the gray scale balance image The radial radius of each speckle regions is carried out size sequence, to obtain maximum radial radius therein by the radial radius in region；Window definition equipment is connect, for obtaining the corresponding spot of the maximum radial radius with the radial radius acquisition equipment The shape in point region, determines corresponding mean filter window based on the shape of the corresponding speckle regions of the maximum radial radius；Signal replacement equipment is connect, for receiving respectively with the radial radius acquisition equipment and the window definition equipment Mean filter window is stated, following filtering processing operation is executed to the pixel of the gray scale balance image: in the gray scale balance In image, each of each pixel in the mean filter window centered on the pixel of the gray scale balance image is obtained Pixel value is used as target pixel value, in the mean filter window centered on the pixel of the gray scale balance image, distance The pixel of the gray scale balance image is closer, and weight coefficient is bigger, is based on each target pixel value and corresponding power Weight coefficient determines the replacement pixel value of the pixel of the gray scale balance image to replace the pixel of the gray scale balance image Original pixel value, to obtain the gray scale balance image corresponding data replacement image；In the signal replacement equipment, The replacement picture of the pixel of the gray scale balance image is determined based on each target pixel value and corresponding weight coefficient Plain value with the original pixel value for replacing the pixel of the gray scale balance image include: by each target pixel value with it is corresponding Weight coefficient is multiplied to obtain the corresponding product term of the target pixel value, by each product term phase of each target pixel value Add, will add up the pixel that result obtains the gray scale balance image divided by the sum of each weight coefficient of each target pixel value The replacement pixel value of point；Transform domain filter apparatus is connect with the signal replacement equipment, for receiving the data replacement image, to the data It replaces image and executes transform domain filtering processing, to obtain corresponding transform domain filtering image, and export the transform domain filtering figure Picture；Angle recognition equipment is connect with the transform domain filter apparatus, for receiving the transform domain filtering image, to the change The face contour changed in the filtering image of domain extracts, and determines that it deviates the angle of vertical plane based on face contour is extracted Degree, to be exported as misalignment angle；Checkout executes equipment, connect with the angle recognition equipment, for identifying institute when the misalignment angle is less than limitation The corresponding facial characteristics of face contour is stated, live checkout movement is carried out based on the corresponding electronic account of the facial characteristics.
- The mechanism 2. reliable hospital as described in claim 1 face is settled accounts, it is characterised in that:It is determining corresponding equal based on the shape of the corresponding speckle regions of the maximum radial radius in the window definition equipment Value filtering window includes: the shape of the shape speckle regions corresponding with the maximum radial radius of corresponding mean filter window Match.
- The mechanism 3. reliable hospital as described in claim 1 face is settled accounts, it is characterised in that:It is determining corresponding equal based on the shape of the corresponding speckle regions of the maximum radial radius in the window definition equipment Value filtering window includes: that the radial radius of corresponding mean filter window and the maximum radial radius match.
- The mechanism 4. the reliable hospital face as described in claim 2-3 is any is settled accounts, it is characterised in that:The signal replacement equipment includes filter window receiving unit, distance detection unit, weight coefficient determination unit and filtering Execution unit.
- The mechanism 5. reliable hospital as claimed in claim 4 face is settled accounts, it is characterised in that:The distance detection unit is connect with the filter window receiving unit and the weight coefficient determination unit respectively.
- The mechanism 6. reliable hospital as claimed in claim 5 face is settled accounts, it is characterised in that:The weight coefficient determination unit is connect with the distance detection unit and the filtering execution unit respectively.
- The mechanism 7. reliable hospital as claimed in claim 6 face is settled accounts, it is characterised in that:The transform domain filter apparatus, the angle recognition equipment and the checkout execute equipment and are all disposed within hospital's checkout stand On.
- The mechanism 8. reliable hospital as claimed in claim 7 face is settled accounts, it is characterised in that:The angle recognition equipment is connect with the information alert equipment, is used for when the misalignment angle is more than limitation, by institute It states misalignment angle and is sent to the information alert equipment.
- The mechanism 9. reliable hospital as claimed in claim 8 face is settled accounts, it is characterised in that:The checkout executes equipment and is also used to stop when the misalignment angle is more than limitation to the corresponding face of the face contour The identification of portion's feature.
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