CN108509780A - A kind of good mobile terminal of security performance - Google Patents
A kind of good mobile terminal of security performance Download PDFInfo
- Publication number
- CN108509780A CN108509780A CN201810176226.5A CN201810176226A CN108509780A CN 108509780 A CN108509780 A CN 108509780A CN 201810176226 A CN201810176226 A CN 201810176226A CN 108509780 A CN108509780 A CN 108509780A
- Authority
- CN
- China
- Prior art keywords
- recognition
- face
- mobile terminal
- display screen
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Computer Security & Cryptography (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Telephone Function (AREA)
Abstract
The present invention provides a kind of good mobile terminals of security performance,Including authentication module,Attitude detection component,First display screen and second display screen,The authentication module is for verifying user identity,The attitude detection component detects the real-time attitude of the mobile terminal for user after authentication,First display screen is touch screen,Positioned at the front of mobile terminal,When the real-time attitude of mobile terminal is face-up,First display screen is lit,For the mobile terminal according to the corresponding operating for detecting user in first display screen,Execute corresponding control function,The second display screen is touch screen,Positioned at the back side of mobile terminal,When the real-time attitude of mobile terminal be the back side upward when,Second display screen is lit,For the mobile terminal according to the corresponding operating for detecting user in the second display screen,Execute corresponding control function.It has the beneficial effect that：Provide a kind of good mobile terminal of security performance.
Description
Technical field
The present invention relates to technical field of mobile terminals, and in particular to a kind of good mobile terminal of security performance.
Background technology
Currently, the use of mobile terminal is more and more extensive, the safety of mobile terminal receives the extensive concern of user.
In recent years, with people to safety requirements be gradually increased and the fast development of net meeting system, intelligence
The identity recognizing technology based on biological characteristic becomes the research hotspot of area of pattern recognition under energy environment, in intelligent vision Internet of Things
The various fields such as net, public safety, financial service and video conferencing system have a wide range of applications.By data noise and identification
The limitation of system itself, the attainable accuracy rate of identification system institute based on single creature feature is limited, for this purpose, grinding
Study carefully personnel to propose to merge identification using audio-visual information to improve the accuracy rate of identification, have received widespread attention.But mesh
The preceding identification based on audio-visual information fusion is mainly limited to the identification of the single mode under ecotopia and in existing fusion side
The simple fusion of audio and video characteristic in method.
Invention content
In view of the above-mentioned problems, the present invention is intended to provide a kind of good mobile terminal of security performance.
The purpose of the present invention is realized using following technical scheme：
Provide a kind of good mobile terminal of security performance, including authentication module, attitude detection component, first aobvious
Display screen and second display screen, for being verified to user identity, the attitude detection component is used for the authentication module
User detects the real-time attitude of the mobile terminal after authentication, and first display screen is touch screen, is located at movement
The front of terminal, when the real-time attitude of mobile terminal is face-up, the first display screen is lit, and is used for the mobile terminal
According to the corresponding operating for detecting user in first display screen, corresponding control function is executed, the second display screen is tactile
Touch screen, be located at mobile terminal the back side, when the real-time attitude of mobile terminal be the back side upward when, second display screen is lit, use
In the mobile terminal according to the corresponding operating for detecting user in the second display screen, corresponding control function is executed.
Beneficial effects of the present invention are：A kind of good mobile terminal of security performance is provided, by carrying out body to user
Part verification, ensure that the data safety of mobile terminal.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural schematic diagram of the present invention；
Reference numeral：
Authentication module 1, attitude detection component 2, the first display screen 3, second display screen 4.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of good mobile terminal of security performance of the present embodiment, including the inspection of authentication module 1, posture
Component 2, the first display screen 3 and second display screen 4 are surveyed, the authentication module 1 is described for being verified to user identity
Attitude detection component 2 detects the real-time attitude of the mobile terminal, first display screen 3 for user after authentication
For touch screen, it is located at the front of mobile terminal, when the real-time attitude of mobile terminal is face-up, the first display screen 3 is by point
It is bright, for the mobile terminal according to the corresponding operating for detecting user in first display screen 3, execute corresponding control work(
Can, the second display screen 4 be touch screen, be located at mobile terminal the back side, when mobile terminal real-time attitude be the back side upward
When, second display screen 4 is lit, for the mobile terminal according to the second display screen 4 detection user corresponding operating,
Execute corresponding control function.
A kind of good mobile terminal of security performance is present embodiments provided, by carrying out authentication to user, is ensured
The data safety of mobile terminal.
Preferably, the authentication module 1 include face recognition module, sound identification module, fusion recognition module and
Identification and evaluation module, the face recognition module is for being identified personnel according to face characteristic, the first recognition result of acquisition,
The sound identification module obtains the second recognition result, the fusion recognition for personnel to be identified according to phonetic feature
The first recognition result of module pair and the second recognition result carry out fusion treatment, determine that personnel identity, the identification and evaluation module are used
It is evaluated in the recognition performance to the fusion recognition module.
This preferred embodiment realizes the identification of Multi-information acquisition and the accurate evaluation to recognition performance.
Preferably, the face recognition module includes face characteristic determination sub-module, man face image acquiring submodule and people
Face identifies submodule, and the face characteristic determination sub-module is for determining the characteristic parameter for recognition of face, the face figure
As acquisition submodule is used to carry out personnel according to face characteristic parameter for acquiring facial image, the recognition of face submodule
Identification；
The face characteristic determination sub-module is for determining the characteristic parameter for recognition of face, specially：
It is that (the face gray level image f (x, y) of N converts it using following formula M for size：
In formula, the transformation coefficient of D (u, v) expression facial image f (x, y), u=0,1,2 ..., M-1, v=0,1,2 ...,
N-1,
Then size is that the transform coefficient matrix of the face gray level image f (x, y) of M × N is expressed as B：
C class training samples are suppose there is, there are Z facial images per class sample, then training sample shares a total of C × Z figures
Picture determines each transformation coefficient b in transform coefficient matrix in the following waysij(i=1,2 ..., M；J=1,2 ..., N) knowledge
Other ability：
A, the transformation coefficient of position (i, j) in every image transform coefficients matrix, construction feature selection matrix E are selectedij, special
Levy selection matrix EijQuantity be M × N, Feature Choice Matrix form is expressed as：
In formula, (k, l) indicates the kth image of l class training samples, k=1,2 ..., Z, l=1,2 ..., C；
B, using following formula calculation of transform coefficients bijRecognition capability：
In formula, S (i, j) indicates transformation coefficient bijRecognition capability value, S (i, j) is bigger, indicates it in transform coefficient matrix
In the position (i, j) transformation coefficient ability that face is identified it is stronger；
C, it according to the recognition capability value of transformation coefficient, chooses the big transformation coefficient of recognition capability value and is used as recognition of face
Characteristic parameter；
The recognition of face submodule is for being identified personnel according to face characteristic parameter, specially：Extraction personnel
Face characteristic parameter, personnel are identified according to face characteristic parameter, obtain the first recognition result.
This preferred embodiment realizes the determination of face characteristic parameter, lays a good foundation for follow-up recognition of face, specifically,
By being converted to image, the transform coefficient matrix of image is determined, further, by establishing Feature Choice Matrix and determination
The recognition capability of each variation coefficient, realizes the extraction of most effective characteristic parameter, improves the accurate of follow-up recognition of face
Property and computational efficiency, improve recognition of face speed；Help to obtain accurate first recognition result.
Preferably, the sound identification module obtains the second identification knot for personnel to be identified according to phonetic feature
Fruit, specially：Determine characteristic parameter of the Gammatone filtering cepstrum coefficients as speech recognition, the voice signal of collector,
Personnel are identified according to the characteristic parameter of speech recognition, obtain the second recognition result；
First recognition result of fusion recognition module pair and the second recognition result carry out fusion treatment, determine personnel's body
Part, specially：If the first recognition result and the second recognition result are identical, the first recognition result of direct basis determines personnel's body
Part, if the first recognition result and the second recognition result are different, by the characteristic parameter of face recognition features' parameter and speech recognition
As a whole, personnel are identified, personnel identity is determined according to recognition result.
This preferred embodiment is by by recognition of face and speech recognition combination, realizing the accurate knowledge of personnel identity
Not.
Preferably, the identification and evaluation module is for evaluating the recognition performance of the fusion recognition module, specifically
For：
Recognition factor is determined using following formula：
In formula, Y indicates that recognition factor, G indicate the total degree that personnel are identified, G1What expression correctly identified personnel
Number；The recognition factor is bigger, indicates that the recognition performance of fusion recognition module is better；
This preferred embodiment realizes the evaluation to recognition performance, ensure that personnel identity by determining recognition factor
Effective identification.
Using the good mobile terminal of security performance of the present invention, chooses 5 users and test, respectively user 1, user
2, user 3, user 4, user 5, count mobile terminal data safety and user satisfaction, compared with mobile terminal phase
Than generation has the beneficial effect that shown in table：
| The safety is improved for mobile terminal data | User satisfaction improves | |
| User 1 | 29% | 27% |
| User 2 | 27% | 26% |
| User 3 | 26% | 26% |
| User 4 | 25% | 24% |
| User 5 | 24% | 22% |
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (5)
1. a kind of good mobile terminal of security performance, which is characterized in that including authentication module, attitude detection component,
One display screen and second display screen, the authentication module is for verifying user identity, the attitude detection component
The real-time attitude of the mobile terminal is detected after authentication for user, first display screen is touch screen, is located at
The front of mobile terminal, when the real-time attitude of mobile terminal is face-up, the first display screen is lit, and is used for the movement
Terminal executes corresponding control function, the second display screen according to the corresponding operating for detecting user in first display screen
For touch screen, be located at the back side of mobile terminal, when the real-time attitude of mobile terminal be the back side upward when, second display screen is by point
It is bright, for the mobile terminal according to the corresponding operating for detecting user in the second display screen, execute corresponding control function.
2. the good mobile terminal of security performance according to claim 1, which is characterized in that the authentication module packet
Face recognition module, sound identification module, fusion recognition module and identification and evaluation module are included, the face recognition module is used for root
Personnel are identified according to face characteristic, obtain the first recognition result, the sound identification module is used for according to phonetic feature pair
Personnel are identified, and obtain the second recognition result, first recognition result of fusion recognition module pair and the second recognition result into
Row fusion treatment determines that personnel identity, the identification and evaluation module are used to carry out the recognition performance of the fusion recognition module
Evaluation.
3. the good mobile terminal of security performance according to claim 2, which is characterized in that the face recognition module packet
Face characteristic determination sub-module, man face image acquiring submodule and recognition of face submodule are included, the face characteristic determines submodule
Block is described for acquiring facial image for determining the characteristic parameter for recognition of face, the man face image acquiring submodule
Recognition of face submodule is for being identified personnel according to face characteristic parameter.
4. the good mobile terminal of security performance according to claim 3, which is characterized in that the face characteristic determines son
Module is for determining the characteristic parameter for recognition of face, specially：
For the face gray level image f (x, y) that size is M × N, it is converted using following formula：
In formula, the transformation coefficient of D (u, v) expression facial image f (x, y), u=0,1,2 ..., M-1, v=0,1,2 ..., N-1,
Then size is that the transform coefficient matrix of the face gray level image f (x, y) of M × N is expressed as B：
C class training samples are suppose there is, there are Z facial images per class sample, then training sample shares a total of C × Z images, adopts
Each transformation coefficient b in transform coefficient matrix is determined with the following methodsij(i=1,2 ..., M；J=1,2 ..., N) identification energy
Power：
A, the transformation coefficient of position (i, j) in every image transform coefficients matrix, construction feature selection matrix E are selectedij, feature choosing
Select matrix EijQuantity be M × N, Feature Choice Matrix form is expressed as：
In formula, (k, l) indicates the kth image of l class training samples, k=1,2 ..., Z, l=1,2 ..., C；
B, using following formula calculation of transform coefficients bijRecognition capability：
In formula, S (i, j) indicates transformation coefficient bijRecognition capability value, S (i, j) is bigger, indicates it in transform coefficient matrix
The ability that face is identified in the transformation coefficient of the position (i, j) is stronger；
C, according to the recognition capability value of transformation coefficient, the big transformation coefficient of recognition capability value is chosen as the spy for recognition of face
Levy parameter；
The recognition of face submodule is for being identified personnel according to face characteristic parameter, specially：The people of extraction personnel
Face characteristic parameter is identified personnel according to face characteristic parameter, obtains the first recognition result.
5. the good mobile terminal of security performance according to claim 4, which is characterized in that the sound identification module is used
In personnel are identified according to phonetic feature, the second recognition result is obtained, specially：Determine Gammatone filtering cepstrums system
Characteristic parameter of the number as speech recognition, the voice signal of collector carry out personnel according to the characteristic parameter of speech recognition
Identification obtains the second recognition result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810176226.5A CN108509780A (en) | 2018-03-02 | 2018-03-02 | A kind of good mobile terminal of security performance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810176226.5A CN108509780A (en) | 2018-03-02 | 2018-03-02 | A kind of good mobile terminal of security performance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108509780A true CN108509780A (en) | 2018-09-07 |
Family
ID=63376161
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810176226.5A Withdrawn CN108509780A (en) | 2018-03-02 | 2018-03-02 | A kind of good mobile terminal of security performance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108509780A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110536004A (en) * | 2019-07-23 | 2019-12-03 | 华为技术有限公司 | Multisensor is applied to the method and electronic equipment of the electronic equipment with flexible screen |
-
2018
- 2018-03-02 CN CN201810176226.5A patent/CN108509780A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110536004A (en) * | 2019-07-23 | 2019-12-03 | 华为技术有限公司 | Multisensor is applied to the method and electronic equipment of the electronic equipment with flexible screen |
| CN110536004B (en) * | 2019-07-23 | 2021-08-31 | 华为技术有限公司 | Method for applying multiple sensors to electronic equipment with flexible screen and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105160318B (en) | Lie detecting method based on facial expression and system | |
| CN108470169A (en) | Face identification system and method | |
| CN111601088B (en) | Sitting posture monitoring system based on monocular camera sitting posture identification technology | |
| US10582117B1 (en) | Automatic camera control in a video conference system | |
| CN107346661B (en) | Microphone array-based remote iris tracking and collecting method | |
| CN109658352A (en) | Optimization method and device, electronic equipment and the storage medium of image information | |
| CN113516990B (en) | Voice enhancement method, neural network training method and related equipment | |
| CN112699808B (en) | Dense target detection method, electronic equipment and related products | |
| CN106874826A (en) | Face key point-tracking method and device | |
| CN107911643B (en) | Method and device for showing scene special effect in video communication | |
| CN110188179B (en) | Voice directional recognition interaction method, device, equipment and medium | |
| CN107526437A (en) | A kind of gesture identification method based on Audio Doppler characteristic quantification | |
| CN110310668A (en) | Mute detection method, system, equipment and computer readable storage medium | |
| CN208351494U (en) | Face identification system | |
| CN206505410U (en) | A kind of real-time voice intertranslation device | |
| CN113515988A (en) | Palm print recognition method, feature extraction model training method, device and medium | |
| CN108182418A (en) | A kind of thump recognition methods based on multidimensional acoustic characteristic | |
| CN206557851U (en) | A kind of situation harvester of listening to the teacher of imparting knowledge to students | |
| CN102914286A (en) | Method for automatically detecting user sitting posture based on handheld equipment | |
| CN110489659A (en) | Data matching method and device | |
| CN104754112A (en) | User information obtaining method and mobile terminal | |
| CN114299569A (en) | Safe face authentication method based on eyeball motion | |
| CN110222647A (en) | A kind of human face in-vivo detection method based on convolutional neural networks | |
| CN108509780A (en) | A kind of good mobile terminal of security performance | |
| CN101093540A (en) | Method for recognizing human ear by detecting human ear and syncretizing information under complex background |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180907 |
|
| WW01 | Invention patent application withdrawn after publication |