CN110069963A - A kind of user ID authentication method based on robot - Google Patents
A kind of user ID authentication method based on robot Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
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- 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
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- 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
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
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Abstract
The present invention relates to a kind of user ID authentication methods based on robot, dynamic subscriber is tracked by outer thermal imaging first, judge whether dynamic subscriber is target user, on the basis of judging target user, by extracting the gray feature value in facial image as the aspect ratio of face verification to object, the feature of face can accurately be obtained, accurately, safely verify the identity of user, simultaneously on the basis of face verification, acquire the voice messaging of user and the impedance operator of palm cell, impedance characteristic according to everyone voice and palm cell is different, further the identity characteristic of user is verified, substantially increase the accuracy and safety of authentication.
Description
Technical field
The present invention relates to robotic technology field more particularly to a kind of user ID authentication methods based on robot.
Background technique
In recent years, computer image technology will be used wider and wider, and utilize computer, image processing, model validation
Etc. technologies realize that authentication also increasingly becomes a research hotspot of present mode verifying and artificial intelligence field, face tests
Card is mainly used in the sides such as public security (criminal's verifying etc.), entry and exit verifying, airport security, security authentication systems, credit card validation
Face.Face verification system as an advanced high-tech technological prevention and verifying means, in some economically developed countries and
Area has been widely used for the high security requirement such as scientific research, industry, museum, hotel, market, medical monitoring, bank, prison
Important place, have broad application prospects.
Since biological characteristic is the inherent attribute of people, there is very strong self stability and individual difference, therefore be body
The most ideal foundation of part verifying.The human bodies such as fingerprint, palmmprint, eye iris, DNA (DNA) and the face appearance of people are special
Levy have human body intrinsic irreproducible uniqueness, stability, can not replicate, it is stolen or pass into silence.Due to everyone
These features are different from, therefore everyone identity can be accurately verified using these unique physiological characteristics of human body,
Current existing human-body biological verification method includes face verification, fingerprint authentication, voice authentication, the palm shape verifying, signature verification, eye
Iris, retinal authentication etc..Wherein, carrying out authentication using face characteristic is most naturally direct means again, compared to other
Human body biological characteristics, it has the characteristics that direct, friendly, convenient, it is easier to be received by user, therefore is concerned.
Embedded human face intelligent verification relates generally to camera calibration, object verifying, motion segmentation and tracking, image data
The contents such as processing, high-level semantic understanding, are the forward position research directions of computer vision field.It is with a wide range of applications and
Huge potential age deduction has caused many scientific research institutions and the great interest of researcher.For example, British scientist is just
Verify new technology in exploitation " intelligence ", this technology be expected to make following closed-circuit television monitor can not only verify automatically pickpocket and
Cartheft, but also can forecast the robbery with violence that may occur in subway or airport or terrorist activity；H.J.Zhang etc. is proposed
Based on the intelligent monitoring shot segmentation algorithm of interframe histogram difference, because its algorithm complexity is low, shot segmentation effect is good, becomes
Method popular at present；At home, Institute of Automation Research of CAS, Tsinghua University and the Chinese Academy of Sciences calculate institute
Etc. all strengthening relevant research.
Embedded human face intelligent verification system is directly hidden with face acquisition, face characteristic information amount of coded data is small,
The advantages that verifying speed is fast, verifying accuracy rate is high, reject rate is low, examination is easy, highly-safe, use condition is simple, is a kind of
Directly, conveniently, be easy the non-infringement identity identifying method being accepted.
Therefore, accuracy, the safety for how improving face verification become those skilled in the art's technology urgently to be resolved
Problem.
Summary of the invention
The object of the present invention is to provide a kind of user ID authentication methods based on robot, can be improved face verification
Accuracy and safety.
To achieve the goals above, the present invention provides a kind of user ID authentication method based on robot, the bases
In robot user ID authentication method the following steps are included:
Step S01, basic user data library is established, includes the basic identity information of user in the database；
Step S02, by infrared thermal imaging technique track dynamic subscriber, and according to the paces size of dynamic subscriber, height information,
Whether velocity estimated dynamic subscriber is target user on foot, if target user then enters step S03, if not target user is then
Repeat step S02；
Step S03, in background image, camera obtain user facial image, using binary segmentation method to facial image into
Row segmentation；
Step S04, image enhancement is carried out to the facial image after segmentation, obtains the gray feature point in facial image, will be obtained
The gray feature point taken is compared with default gray feature point, if acquired gray feature point and default gray feature point are not
Unanimously, then subscriber authentication is issued unsuccessfully to prompt, if acquired gray feature point is consistent with default gray feature point, into
Enter step S05；
Step S05, the voice signal of user is obtained, and converts voice signals into electric signal, extracts characteristic information, if feature is believed
It ceases similarity and is greater than preset value, then enter step S06, if characteristic information similarity is less than preset value, issues user identity and test
Card unsuccessfully prompts；
Step S06, the palm of user is put on electrical impedance acquisition device, the electrical impedance acquisition device acquisition predeterminated frequency
Exciting current flows through impedance operator when user's palm cell, if the impedance operator is consistent with default impedance operator, basis
Default impedance operator judges the identity of the user corresponding to it, if the impedance operator and default impedance operator are inconsistent,
Subscriber authentication is issued unsuccessfully to prompt.
Preferably, in step S05, electric signal is converted voice signals into, comprising the following steps:
Step S051, voice signal is switched into first voltage signal；
Step S052, the first voltage signal is subjected to analog/digital conversion, obtains digital signal；
Step S053, digital signal is filtered, obtains electric signal.
Preferably, in step S05, characteristic information is extracted, comprising the following steps:
Step S054, electric signal is input in analysis system, obtains sonograph, sonograph color parameter is adjusted；Its
In, the sonograph color includes brightness, contrast, tone and saturation degree；
Step S055, the sonograph that will acquire is compared with preset sonograph, if sonograph similarity is greater than preset value,
S06 is entered step, if sonograph similarity is less than preset value, subscriber authentication is issued and unsuccessfully prompts.
Preferably, the predeterminated frequency of the exciting current is 65KHz.
Preferably, in step S02, judge whether dynamic subscriber is target user, is judged according to the following steps:
S021, whether the height information of collected dynamic subscriber is fallen elemental user in the database height altitude range it
It is interior, if it is, into S022；
S022, whether the paces size of collected dynamic subscriber is fallen elemental user in the database paces size range it
It is interior, if it is, into S023；
S023, whether the speed of walking of collected dynamic subscriber is fallen elemental user in the database walk velocity interval it
It is interior, if it is, entering step S03.
Preferably, in step S04, if acquired gray feature point and default gray feature point are inconsistent, use is issued
After family authentication unsuccessfully prompts, further includes:
The fingerprint of user is placed on fingerprint verifying apparatus, the finger print information of the fingerprint verifying apparatus verifying user, and will
The finger print information of the verifying is compared with preset fingerprint information, if the finger print information of the verifying and preset fingerprint information one
It causes, then enters step S05, the finger print information and preset fingerprint information of the verifying are inconsistent, then issue subscriber authentication mistake
Lose prompt.
Preferably, in step S04, the facial image after described pair of segmentation carries out image enhancement, comprising: to the people after segmentation
Face image carries out histogram enhancement, compares enhancing to the facial image after histogram enhancement, to the gray scale of facial image into
Row segment processing.
Preferably, described that facial image is split using binary segmentation method, comprising: to extract the people in step S03
Facial image is separated into the face with different grey-scale by the difference in face image between facial contour feature and background image
Pixel in facial image is compared by contour area and background area with threshold value, if the pixel and the threshold value
Unanimously, then judge the pixel for face contour area.
Preferably, in step S06, the resistance characteristic is that nonlinear electrical impedance is general, is obtained by network neural training
The default impedance operator of user.
User ID authentication method provided by the invention based on robot tracks dynamic by outer thermal imaging first
User judges whether dynamic subscriber is target user, on the basis of judging target user, by extracting the ash in facial image
Characteristic value is spent as the aspect ratio of face verification to object, can accurately be obtained the feature of face, accurately, safely be verified
The identity of user, while on the basis of face verification, the voice messaging of user and the impedance operator of palm cell are acquired, according to
The impedance characteristic of everyone voice and palm cell is different, further verifies, greatly improves to the identity characteristic of user
The accuracy and safety of authentication.
Detailed description of the invention
Fig. 1 is a kind of process of specific embodiment of the user ID authentication method provided by the invention based on robot
Schematic diagram.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
Fig. 1 is please referred to, Fig. 1 is a kind of specific implementation of the user ID authentication method provided by the invention based on robot
The flow diagram of mode.
As shown in Figure 1, the present invention provides a kind of user ID authentication method based on robot, it is described to be based on robot
User ID authentication method the following steps are included:
Step S01, basic user data library is established, includes the basic identity information of user in the database；
Step S02, by infrared thermal imaging technique track dynamic subscriber, and according to the paces size of dynamic subscriber, height information,
Whether velocity estimated dynamic subscriber is target user on foot, if target user then enters step S03, if not target user is then
Repeat step S02；
Step S03, in background image, camera obtain user facial image, using binary segmentation method to facial image into
Row segmentation；
Step S04, image enhancement is carried out to the facial image after segmentation, obtains the gray feature point in facial image, will be obtained
The gray feature point taken is compared with default gray feature point, if acquired gray feature point and default gray feature point are not
Unanimously, then subscriber authentication is issued unsuccessfully to prompt, if acquired gray feature point is consistent with default gray feature point, into
Enter step S05；
Step S05, the voice signal of user is obtained, and converts voice signals into electric signal, extracts characteristic information, if feature is believed
It ceases similarity and is greater than preset value, then enter step S06, if characteristic information similarity is less than preset value, issues user identity and test
Card unsuccessfully prompts；
Step S06, the palm of user is put on electrical impedance acquisition device, the electrical impedance acquisition device acquisition predeterminated frequency
Exciting current flows through impedance operator when user's palm cell, if the impedance operator is consistent with default impedance operator, basis
Default impedance operator judges the identity of the user corresponding to it, if the impedance operator and default impedance operator are inconsistent,
Subscriber authentication is issued unsuccessfully to prompt.
Bio-electrical impedance is that a kind of electric signal passes through the impedance operator reflected when living organism, and biological tissue includes cell
Interior liquid, extracellular fluid and cell membrane, when the electric signal of certain frequency is applied to organism, typical case will bypass cell, main to flow
Through extracellular fluid, when being applied to the frequency increase of biological tissue's electric signal, one part of current passes through cell membrane and flows through cell
Interior liquid.The bio-electrical impedance information of different people has uniqueness, and bio-electrical impedance information can be used to carry out authentication.
User ID authentication method provided by the invention based on robot tracks dynamic by outer thermal imaging first
User judges whether dynamic subscriber is target user, on the basis of judging target user, by extracting the ash in facial image
Characteristic value is spent as the aspect ratio of face verification to object, can accurately be obtained the feature of face, accurately, safely be verified
The identity of user, while on the basis of face verification, the voice messaging of user and the impedance operator of palm cell are acquired, according to
The impedance characteristic of everyone voice and palm cell is different, further verifies, greatly improves to the identity characteristic of user
The accuracy and safety of authentication.
In preferred embodiment, in step S05, electric signal is converted voice signals into, comprising the following steps:
Step S051, voice signal is switched into first voltage signal；
Step S052, the first voltage signal is subjected to analog/digital conversion, obtains digital signal；
Step S053, digital signal is filtered, obtains electric signal.
Preferably, in step S05, characteristic information is extracted, comprising the following steps:
Step S054, electric signal is input in analysis system, obtains sonograph, sonograph color parameter is adjusted；Its
In, the sonograph color includes brightness, contrast, tone and saturation degree；
Step S055, the sonograph that will acquire is compared with preset sonograph, if sonograph similarity is greater than preset value,
S06 is entered step, if sonograph similarity is less than preset value, subscriber authentication is issued and unsuccessfully prompts.
In preferred scheme, in step S02, judge whether dynamic subscriber is target user, is judged according to the following steps:
S021, whether the height information of collected dynamic subscriber is fallen elemental user in the database height altitude range it
It is interior, if it is, into S022；
S022, whether the paces size of collected dynamic subscriber is fallen elemental user in the database paces size range it
It is interior, if it is, into S023；
S023, whether the speed of walking of collected dynamic subscriber is fallen elemental user in the database walk velocity interval it
It is interior, if it is, entering step S03.
In preferred scheme, the predeterminated frequency of the exciting current is 65KHz, when the frequency of exciting current is 65KHz, is swashed
Encourage electric current to human body be accordingly it is best, can more accurately obtain impedance operator.
In preferred scheme, if acquired gray feature point and default gray feature point are inconsistent, user's body is issued
It further include that the fingerprint of user is placed on fingerprint verifying apparatus, the fingerprint verifying apparatus is tested after part authentication failed prompt
The finger print information of user is demonstrate,proved, and the finger print information of the verifying is compared with preset fingerprint information, if the finger of the verifying
Line information is consistent with preset fingerprint information, then flows through user hand by the exciting current that electrical impedance acquisition device acquires predeterminated frequency
Impedance operator when cell is slapped, the finger print information and preset fingerprint information of the verifying are inconsistent, then issue subscriber authentication
Failure prompts.
There is the error verified in face verification in order to prevent, after face verification failure, passes through fingerprint authentication user identity
Information, if after user is verified by finger print information, then electrical impedance verifying is carried out, improve the accuracy of verifying.
In preferred scheme, the facial image after described pair of segmentation carries out image enhancement, comprising: to the face figure after segmentation
As carrying out histogram enhancement, enhancing is compared to the facial image after histogram enhancement, the gray scale of facial image is divided
Section processing.The histogram of image is important statistical nature, it can be the approximation of image gray-scale level density function, has corresponding
Statistical nature.
It is described that facial image is split using binary segmentation method, comprising: to extract the face figure in preferred scheme
Difference as between facial contour feature and background image, is separated into the facial contour with different grey-scale for facial image
Pixel in facial image is compared by region and background area with threshold value, if the pixel is consistent with the threshold value,
Then judge the pixel for face contour area.
In preferred scheme, the robot further includes voice command reception device, described if judging the identity of user
Voice command reception device receives the voice command of user, and corresponding operation is executed according to institute's speech commands.Pass through body
The user of part verifying can pass through speech command operation robot.
In preferred scheme, the resistance characteristic is that nonlinear electrical impedance is general, obtains user by network neural training
Default impedance operator.
Structure, feature and effect of the invention, the above institute are described in detail based on the embodiments shown in the drawings
Only presently preferred embodiments of the present invention is stated, but the present invention does not limit the scope of implementation as shown in the drawings, it is all according to structure of the invention
Think made change or equivalent example modified to equivalent change, when not going beyond the spirit of the description and the drawings,
It should all be within the scope of the present invention.
Claims (9)
1. a kind of user ID authentication method based on robot, which is characterized in that the user identity based on robot is tested
Card method the following steps are included:
Step S01, basic user data library is established, includes the basic identity information of user in the database；
Step S02, by infrared thermal imaging technique track dynamic subscriber, and according to the paces size of dynamic subscriber, height information,
Whether velocity estimated dynamic subscriber is target user on foot, if target user then enters step S03, if not target user is then
Repeat step S02；
Step S03, in background image, camera obtain user facial image, using binary segmentation method to facial image into
Row segmentation；
Step S04, image enhancement is carried out to the facial image after segmentation, obtains the gray feature point in facial image, will be obtained
The gray feature point taken is compared with default gray feature point, if acquired gray feature point and default gray feature point are not
Unanimously, then subscriber authentication is issued unsuccessfully to prompt, if acquired gray feature point is consistent with default gray feature point, into
Enter step S05；
Step S05, the voice signal of user is obtained, and converts voice signals into electric signal, characteristic information is extracted, feature is believed
Breath is compared with presupposed information, if characteristic information similarity is greater than preset value, S06 is entered step, if characteristic information is similar
Degree is less than preset value, then issues subscriber authentication and unsuccessfully prompt；
Step S06, the palm of user is put on electrical impedance acquisition device, the electrical impedance acquisition device acquisition predeterminated frequency
Exciting current flows through impedance operator when user's palm cell, if the impedance operator is consistent with default impedance operator, basis
Default impedance operator judges the identity of the user corresponding to it, if the impedance operator and default impedance operator are inconsistent,
Subscriber authentication is issued unsuccessfully to prompt.
2. the user ID authentication method according to claim 1 based on robot, which is characterized in that, will in step S05
Voice signal is converted to electric signal, comprising the following steps:
Step S051, voice signal is switched into first voltage signal；
Step S052, the first voltage signal is subjected to analog/digital conversion, obtains digital signal；
Step S053, digital signal is filtered, obtains electric signal.
3. the user ID authentication method according to claim 2 based on robot, which is characterized in that in step S05, mention
Take characteristic information, comprising the following steps:
Step S054, electric signal is input in analysis system, obtains sonograph, sonograph color parameter is adjusted；Its
In, the sonograph color includes brightness, contrast, tone and saturation degree；
Step S055, the sonograph that will acquire is compared with preset sonograph, if sonograph similarity is greater than preset value,
S06 is entered step, if sonograph similarity is less than preset value, subscriber authentication is issued and unsuccessfully prompts.
4. the user ID authentication method according to claim 1 based on robot, which is characterized in that the exciting current
Predeterminated frequency be 65KHz.
5. the user ID authentication method according to claim 1 based on robot, which is characterized in that in step S02, sentence
Whether disconnected dynamic subscriber is target user, is judged according to the following steps:
S021, whether the height information of collected dynamic subscriber is fallen elemental user in the database height altitude range it
It is interior, if it is, into S022；
S022, whether the paces size of collected dynamic subscriber is fallen elemental user in the database paces size range it
It is interior, if it is, into S023；
S023, whether the speed of walking of collected dynamic subscriber is fallen elemental user in the database walk velocity interval it
It is interior, if it is, entering step S03.
6. the user ID authentication method according to claim 1 based on robot, which is characterized in that in step S04, if
Acquired gray feature point and default gray feature point are inconsistent, then issue after subscriber authentication unsuccessfully prompts, also wrap
It includes:
The fingerprint of user is placed on fingerprint verifying apparatus, the finger print information of the fingerprint verifying apparatus verifying user, and will
The finger print information of the verifying is compared with preset fingerprint information, if the finger print information of the verifying and preset fingerprint information one
It causes, then enters step S05, the finger print information and preset fingerprint information of the verifying are inconsistent, then issue subscriber authentication mistake
Lose prompt.
7. the user ID authentication method according to claim 3 based on robot, which is characterized in that in step S04, institute
It states and image enhancement is carried out to the facial image after segmentation, comprising: histogram enhancement is carried out to the facial image after segmentation, to histogram
Scheme enhanced facial image and compare enhancing, segment processing is carried out to the gray scale of facial image.
8. the user ID authentication method according to claim 4 based on robot, which is characterized in that in step S03, institute
It states and facial image is split using binary segmentation method, comprising: extract facial contour feature and background in the facial image
Facial image is separated into facial contour region and background area with different grey-scale, by face by the difference between image
Pixel in image is compared with threshold value, if the pixel is consistent with the threshold value, judges that the pixel is behaved
Face contour area.
9. the user ID authentication method according to claim 1 based on robot, which is characterized in that in step S06, institute
Stating resistance characteristic is that nonlinear electrical impedance is general, and the default impedance operator of user is obtained by network neural training.
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| CN201810069507.0A CN110069963A (en) | 2018-01-24 | 2018-01-24 | A kind of user ID authentication method based on robot |
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| CN112949495A (en) * | 2021-03-04 | 2021-06-11 | 安徽师范大学 | Intelligent identification system based on big data |
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