CN109800723A - A kind of recognition of face and the computer booting system and method for staying card is logged in violation of rules and regulations - Google Patents
A kind of recognition of face and the computer booting system and method for staying card is logged in violation of rules and regulations Download PDFInfo
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- CN109800723A CN109800723A CN201910072279.7A CN201910072279A CN109800723A CN 109800723 A CN109800723 A CN 109800723A CN 201910072279 A CN201910072279 A CN 201910072279A CN 109800723 A CN109800723 A CN 109800723A
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Abstract
The computer booting system and method for staying card is logged in the present invention is more particularly directed to a kind of recognition of face and violation.The recognition of face and violation log in the computer booting system and method for staying card, including CMOS lens module and infrared sensor, and the CMOS lens module and infrared sensor are connected to MCU processing board；The MCU processing board integrated high-speed filtering and face image processing algorithm, and computer motherboard is connected by I2C bus.The recognition of face and violation log in the computer booting system and method for staying card, in conjunction with concrete application and K arest neighbors sorting algorithm matching face picture of the LBP algorithm in texture blending and recognition of face, the accuracy for increasing recognition of face reduces the risk that computer logs in violation of rules and regulations；The introducing of infrared sensor makes computer have quick screen locking function simultaneously, avoids operator from promptly leaving security risk caused by forgetting manual screen locking, while reducing power consumption for computer and providing convenient and fast approach.
Description
Technical field
The present invention relates to technical field of biometric identification, in particular to a kind of recognition of face and violation log in the computer for staying card
Boot system and method.
Background technique
Biological identification technology is the skill that identity authentication is carried out by the intrinsic physiological property of human body and behavioural characteristic
Art.Common bio-identification mode includes fingerprint recognition, hand vein recognition, recognition of face, voice recognition etc., in RESEARCH OF CHAOS-BASED SECURITY COMMUNICATION
Technical field biological identification technology has been more and more widely used.Wherein face recognition technology has its inherent advantage, face
It is inherent, it its uniqueness and is not easy the superperformance being replicated and provides necessary premise for identity identifying and authenticating.Meanwhile
The identification technology has many advantages, such as naturality, non-imposed, untouchable, safer compared to traditional identification authentication mode,
It is more convenient.
Facial-recognition security systems are an emerging biological identification technologies, are the current worlds using face recognition technology as core
The high-quality precision and sophisticated technology of sciemtifec and technical sphere tackling key problem.Facial-recognition security systems, which are widely used, is eliminating ballot fraud, withdrawal authentication
And the fields such as computer security.
In computer safety field, recognition of face and login stay card system using the unique advantage of recognition of face in violation of rules and regulations.Base
In above situation, the present invention devises a kind of recognition of face and logs in the computer booting system and method for staying card in violation of rules and regulations.
Summary of the invention
In order to compensate for the shortcomings of the prior art, the present invention provides a kind of recognitions of face being simple and efficient and violation to log in and stay
The computer booting system and method for card.
The present invention is achieved through the following technical solutions:
A kind of recognition of face and the computer booting system and method for staying card is logged in violation of rules and regulations, it is characterised in that: including CMOS
Lens module and infrared sensor, the CMOS lens module and infrared sensor are connected to MCU processing board；The MCU processing
The filtering of plate integrated high-speed and face image processing algorithm, and computer motherboard is connected by I2C bus.
The matched upper computer software of arrangement in the computer motherboard, the upper computer software is for realizing face user's
Addition, deletion, password modification and quick release screen.
The CMOS lens module and infrared sensor are installed on edge on computer display screen.
The computer motherboard is MCU processing board, CMOS lens module and infrared sensor power supply.
The integrated high speed filtering of the MCU processing board and face image processing algorithm use LBP (Local Binary
Patterns, local binary patterns) algorithm.
Recognition of face of the present invention and violation log in the control method for staying the computer booting system of card, which is characterized in that packet
Include following steps:
(1) valid operation personnel multi-orientation Face information is acquired using CMOS lens module, is stored in Computer Database；
(2) whether there is human body signal appearance within the scope of 1 meter of infrared sensor real-time detection；
(3) if there is human body appearance before screen, infrared sensor notifies MCU control panel, MCU control panel by high level signal
Start CMOS lens module, CMOS lens module start recording face signal；
(4) comparison data library stores after MCU processor is handled image information using the LBP algorithm being internally integrated
User information matches face picture using K arest neighbors sorting algorithm；
(5) computer desktop is unlocked if through authentication and close CMOS lens module, if comparing failure, identity
Verifying does not pass through, and starting CMOS lens module records current operation personnel's facial characteristics.
Abnormal login file is established in a computer in the step (1), for storing the operator of authentication failed
Face picture.
In the step (4), if operator's authentication does not pass through, start CMOS lens module to current operation people
Member's facial characteristics is recorded, and is stored in the form of photo into abnormal login file；Pause started infrared sensing after 5 seconds again
Whether device testing staff leaves, and continues face recognition operation if not leaving, notifies MCU control panel to close if personnel leave
Close CMOS lens module.
When valid operation personnel leave, it is not necessarily to manual screen locking, infrared sensor can't detect automatic trigger after human body signal
MCU control panel, MCU control panel notify computer to carry out screen locking, then start until infrared sensor has detected that personnel are close
CMOS lens module carries out authentication.
The beneficial effects of the present invention are: the recognition of face and violation log in the computer booting system and method for staying card, tie
It closes concrete application and K arest neighbors sorting algorithm of the LBP algorithm in texture blending and recognition of face and matches face picture, increase
The accuracy of recognition of face reduces the risk that computer logs in violation of rules and regulations；The introducing of infrared sensor possesses computer simultaneously
Quick screen locking function avoids operator from promptly leaving security risk caused by forgetting manual screen locking, while reducing for computer
Power consumption provides convenient and fast approach.
Detailed description of the invention
Attached drawing 1 is recognition of face of the present invention and logs in the computer booting system schematic for staying card in violation of rules and regulations.
Attached drawing 2 is recognition of face of the present invention and logs in the control method schematic diagram for staying the computer booting system of card in violation of rules and regulations.
Specific embodiment
In order to which technical problems, technical solutions and advantages to be solved are more clearly understood, tie below
Drawings and examples are closed, the present invention will be described in detail.It should be noted that specific embodiment described herein is only used
To explain the present invention, it is not intended to limit the present invention.
The recognition of face and violation log in the computer booting system for staying card, including CMOS lens module and infrared sensing
Device, the CMOS lens module and infrared sensor are connected to MCU processing board；The MCU processing board integrated high-speed filtering and people
Face image processing algorithm, and computer motherboard is connected by I2C bus.
The matched upper computer software of arrangement in the computer motherboard, the upper computer software is for realizing face user's
Addition, deletion, password modification and quick release screen.
The CMOS lens module and infrared sensor are installed on edge on computer display screen.
The computer motherboard is MCU processing board, CMOS lens module and infrared sensor power supply.
The integrated high speed filtering of the MCU processing board and face image processing algorithm use LBP (Local Binary
Patterns, local binary patterns) algorithm.
LBP algorithm is the texture analysis method that typical structure is combined with statistics.Original function is auxiliary image local
Contrast was promoted to a kind of effective texture description operator, measurement and the texture information for extracting image local later, had to illumination
There is invariance.This describes method in quality testing, and the application in the fields such as facial image analysis achieves good effect.
The recognition of face and violation log in the control method for staying the computer booting system of card, comprising the following steps:
(1) valid operation personnel multi-orientation Face information is acquired using CMOS lens module, is stored in Computer Database；
(2) whether there is human body signal appearance within the scope of 1 meter of infrared sensor real-time detection；
(3) if there is human body appearance before screen, infrared sensor notifies MCU control panel, MCU control panel by high level signal
Start CMOS lens module, CMOS lens module start recording face signal；
(4) comparison data library stores after MCU processor is handled image information using the LBP algorithm being internally integrated
User information matches face picture using K arest neighbors sorting algorithm；
(5) computer desktop is unlocked if through authentication and close CMOS lens module, if comparing failure, identity
Verifying does not pass through, and starting CMOS lens module records current operation personnel's facial characteristics.
In the step (1), abnormal login file is established in a computer, for storing the operator of authentication failed
Face picture.
In the step (4), K arest neighbors (K-Nearest Neighbor, KNN) sorting algorithm is one and theoretically compares
One of more mature method and simplest machine learning algorithm.The thinking of this method is: if a sample is in feature sky
Between in k most like samples (i.e. closest in feature space) in it is most of belong to some classification, then the sample
Belong to this classification.
K arest neighbors sorting algorithm is only come according to the classification of one or several closest samples on determining categorised decision
It determines wait divide classification belonging to sample.In classification decision, K arest neighbors sorting algorithm is only related with minimal amount of adjacent sample.
Since K arest neighbors sorting algorithm is mainly by the limited sample closed on around, rather than the method by differentiating class field is to determine
Belong to classification, therefore more wait divide for sample set for the intersection of class field or overlapping, K arest neighbors sorting algorithm is compared with its other party
Method is more particularly suitable.
K arest neighbors sorting algorithm can be not only used for classifying, and can be also used for returning.By K that find out a sample
The average value of the attribute of these neighbours is assigned to the sample, so that it may obtain the attribute of the sample by nearest-neighbors.More useful side
Method is to give the neighbours of different distance to different weights (weight) to the influence that the sample generates, if weight and distance are at anti-
Than.
The recognition of face and violation log in the control method for staying the computer booting system of card, are classified using K arest neighbors and are calculated
Method matches face picture, has the advantage that
(1) K arest neighbors sorting algorithm is simple, should be readily appreciated that, it is easy to accomplish；
(2) without estimating parameter, without training；
(3) face information of different operation personnel is divided into different classes of by personnel, and K arest neighbors sorting algorithm is particularly suitable for answering
For more classification problems, and it is excellent in.
In the step (5), if operator's authentication does not pass through, start CMOS lens module to current operation people
Member's facial characteristics is recorded, and is stored in the form of photo into abnormal login file；Pause started infrared sensing after 5 seconds again
Whether device testing staff leaves, and continues face recognition operation if not leaving, notifies MCU control panel to close if personnel leave
Close CMOS lens module.
When valid operation personnel leave, it is not necessarily to manual screen locking, infrared sensor can't detect automatic trigger after human body signal
MCU control panel, MCU control panel notify computer to carry out screen locking, then start until infrared sensor has detected that personnel are close
CMOS lens module carries out authentication.
Claims (9)
1. a kind of recognition of face and violation log in the computer booting system for staying card, it is characterised in that: including CMOS lens module
And infrared sensor, the CMOS lens module and infrared sensor are connected to MCU processing board；The integrated height of the MCU processing board
Speed filtering and face image processing algorithm, and computer motherboard is connected by I2C bus.
2. recognition of face according to claim 1 and violation log in the computer booting system for staying card, it is characterised in that: institute
State the matched upper computer software of arrangement in computer motherboard, the upper computer software for realizing the addition of face user, deletion,
Password modification and quick release screen.
3. recognition of face according to claim 2 and violation log in the computer booting system for staying card, it is characterised in that: institute
It states CMOS lens module and infrared sensor is installed on edge on computer display screen.
4. recognition of face according to claim 1 and violation log in the computer booting system for staying card, it is characterised in that: institute
Stating computer motherboard is MCU processing board, CMOS lens module and infrared sensor power supply.
5. recognition of face described in any one and violation log in the computer booting system for staying card according to claim 1~4,
Be characterized in that: the integrated high speed filtering of the MCU processing board and face image processing algorithm are using LBP algorithm.
6. recognition of face according to claims 1 to 5 and violation log in the control method for staying the computer booting system of card,
Characterized by comprising the following steps:
(1) valid operation personnel multi-orientation Face information is acquired using CMOS lens module, is stored in Computer Database；
(2) whether there is human body signal appearance within the scope of 1 meter of infrared sensor real-time detection；
(3) if there is human body appearance before screen, infrared sensor notifies MCU control panel, the starting of MCU control panel by high level signal
CMOS lens module, CMOS lens module start recording face signal；
(4) user that comparison data library stores after MCU processor is handled image information using the LBP algorithm being internally integrated
Information matches face picture using K arest neighbors sorting algorithm；
(5) computer desktop is unlocked if through authentication and close CMOS lens module, if comparing failure, authentication
Do not pass through, starting CMOS lens module records current operation personnel's facial characteristics.
7. recognition of face according to claim 6 and violation log in the control method for staying the computer booting system of card,
It is characterized in that: abnormal login file is established in a computer in the step (1), for storing the operator of authentication failed
Face picture.
8. recognition of face according to claim 7 and violation log in the control method for staying the computer booting system of card,
It is characterized in that: in the step (4), if operator's authentication does not pass through, starting CMOS lens module to current operation
Personnel's facial characteristics records, and is stored in the form of photo into abnormal login file；Pause started infrared biography after 5 seconds again
Whether sensor testing staff leaves, and continues face recognition operation if not leaving, if personnel, which leave, notifies MCU control panel
Close CMOS lens module.
9. recognition of face according to claim 6 and violation log in the control method for staying the computer booting system of card,
It is characterized in that: when valid operation personnel leave, being not necessarily to manual screen locking, infrared sensor can't detect automatic trigger after human body signal
MCU control panel, MCU control panel notify computer to carry out screen locking, then start until infrared sensor has detected that personnel are close
CMOS lens module carries out authentication.
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| CN201910072279.7A CN109800723A (en) | 2019-01-25 | 2019-01-25 | A kind of recognition of face and the computer booting system and method for staying card is logged in violation of rules and regulations |
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| CN201910072279.7A CN109800723A (en) | 2019-01-25 | 2019-01-25 | A kind of recognition of face and the computer booting system and method for staying card is logged in violation of rules and regulations |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113032755A (en) * | 2021-02-26 | 2021-06-25 | 广东核电合营有限公司 | Nuclear power equipment operator verification method, device, equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102880565A (en) * | 2012-08-21 | 2013-01-16 | 广东天波信息技术股份有限公司 | Equipment and method for automatically acquiring face image during information registration |
| CN103761504A (en) * | 2013-12-31 | 2014-04-30 | 江苏图云智能科技发展有限公司 | Face recognition system |
| CN104063715A (en) * | 2014-06-30 | 2014-09-24 | 东南大学 | Face classification method based on nearest neighbor feature lines |
| CN104091110A (en) * | 2014-07-30 | 2014-10-08 | 中山艺展装饰工程有限公司 | Safe login verification method through facial recognition in Linux operation system |
| CN104765998A (en) * | 2015-04-16 | 2015-07-08 | 国家电网公司 | User identity reliably-verifying system based on face identification and using method thereof |
| CN106650370A (en) * | 2016-11-22 | 2017-05-10 | 西北工业大学 | Non-contact encryption method and system for computer |
-
2019
- 2019-01-25 CN CN201910072279.7A patent/CN109800723A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102880565A (en) * | 2012-08-21 | 2013-01-16 | 广东天波信息技术股份有限公司 | Equipment and method for automatically acquiring face image during information registration |
| CN103761504A (en) * | 2013-12-31 | 2014-04-30 | 江苏图云智能科技发展有限公司 | Face recognition system |
| CN104063715A (en) * | 2014-06-30 | 2014-09-24 | 东南大学 | Face classification method based on nearest neighbor feature lines |
| CN104091110A (en) * | 2014-07-30 | 2014-10-08 | 中山艺展装饰工程有限公司 | Safe login verification method through facial recognition in Linux operation system |
| CN104765998A (en) * | 2015-04-16 | 2015-07-08 | 国家电网公司 | User identity reliably-verifying system based on face identification and using method thereof |
| CN106650370A (en) * | 2016-11-22 | 2017-05-10 | 西北工业大学 | Non-contact encryption method and system for computer |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113032755A (en) * | 2021-02-26 | 2021-06-25 | 广东核电合营有限公司 | Nuclear power equipment operator verification method, device, equipment and storage medium |
| CN113032755B (en) * | 2021-02-26 | 2023-09-19 | 广东核电合营有限公司 | Nuclear power equipment operator verification method, device, equipment and storage medium |
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Application publication date: 20190524 |