CN104091110A - Safe login verification method through facial recognition in Linux operation system - Google Patents

Safe login verification method through facial recognition in Linux operation system Download PDF

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Publication number
CN104091110A
CN104091110A CN201410368529.9A CN201410368529A CN104091110A CN 104091110 A CN104091110 A CN 104091110A CN 201410368529 A CN201410368529 A CN 201410368529A CN 104091110 A CN104091110 A CN 104091110A
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CN
China
Prior art keywords
facial image
image information
user
eigenwert
real
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.)
Pending
Application number
CN201410368529.9A
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Chinese (zh)
Inventor
庄可军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ZHONGSHAN YIZHAN DECORATION ENGINEERING Co Ltd
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ZHONGSHAN YIZHAN DECORATION ENGINEERING Co Ltd
Priority date (The priority date 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 date listed.)
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Publication date
Application filed by ZHONGSHAN YIZHAN DECORATION ENGINEERING Co Ltd filed Critical ZHONGSHAN YIZHAN DECORATION ENGINEERING Co Ltd
Priority to CN201410368529.9A priority Critical patent/CN104091110A/en
Publication of CN104091110A publication Critical patent/CN104091110A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints

Abstract

The invention discloses a safe login verification method through facial recognition in a Linux operation system. The method is achieved through a facial image information database, a facial image collection unit, a body temperature sensor, a pulse sensor, a heart rate sensor, a high-sensitivity capacitance type human-body touch sensor, a facial image extraction unit, a login verification unit, a communication unit, a power supply and a computer terminal device. By means of the method, legal validity of the collected facial image information is guaranteed, the defect that an illegal user logins a computer system by using an emulated facial image is overcome, security of a computer operation system is enhanced, and the embarrassment that a legal user cannot login the computer operation system because the login password is forgotten is avoided as well.

Description

In (SuSE) Linux OS, use recognition of face to land safely the method for checking
Technical field
The present invention relates to a kind of method that enters operating system login authentication, more particularly, relate in (SuSE) Linux OS and use recognition of face to land safely the method for checking.
Background technology
Along with the development of cybertimes, by computing machine, carry out corporate business processing more and more important.Operating system is as supervisory computer hardware resource, controls other programs operations and for user provides the set of the system software at interactive operation interface, is the basis of computer run.Along with world economy internationalization, dog-eat-dog, technical know-how is more and more important.For job information is maintained secrecy, the operating system login authentication of existing office machine is set to password authentification at present.But there is following defect in password authentification: (1) is easily cracked; (2) need not easily forget for a long time.
Understanding based on above just, open day is on May 28th, 2014, publication number is that the Chinese invention patent of 103824068A discloses a kind of people's face payment authentication system and method, and described Verification System comprises the binding of people's face raw data, facial quality evaluation, facial pose correction, recognition of face, payment data Intelligent treatment 5 modules; The binding of people's face raw data is in order to user people's face information of standard, as original binding data; Face quality evaluation is to the assessment of image data face overall quality, screening comparison data; It is that not lose face data be prerequisite that facial pose is corrected, and corrects and departs from attitude; Recognition of face, to gather the people's face information that needs comparison, is extracted facial characteristics information, and compares with the corresponding face characteristic information of comparing in database, determines whether same people; Payment data Intelligent treatment, in order to after people's face payment authentication Transaction Success, is carried out comprehensive assessment and judgement to people's face information.Face payment authentication system and method that the present invention proposes, can improve security, the convenience of payment, improves the degree of accuracy of system identification simultaneously.
But in prior art, just using the data of people's face face-image own as criterion of identification, this just makes some disabled users impact face-image identification of the prior art by forging the frauds such as mask portion iconic model, emulation face-image, for user's data security is brought hidden danger, therefore, ageing and the antifalsification that improves face-image identification is extremely urgent.
Summary of the invention
For the defect existing in prior art, the object of this invention is to provide in (SuSE) Linux OS uses recognition of face to land safely the method for checking, in the method, use face-image recognition technology, the detection information of real-time body temperature, pulse, heart rate and user's contact condition that simultaneously again can Real-Time Monitoring user, guaranteed the legal validity of the facial image information that collects, improve the security of face-image identification, guaranteed the safety of user data.
For reaching above object, the technical solution used in the present invention is: in (SuSE) Linux OS, use recognition of face to land safely the method for checking, it is characterized in that: comprise the steps:
S1, user are using the starting stage of Linux computer operating system by facial image acquisition unit, to collect in advance the facial image information of this validated user, extract the eigenwert of this facial image information, and be stored in described facial image information database;
S2, user open computer, enter the login authentication interface of Linux computer operating system;
S3, user are by the real-time typing facial image information in facial image acquisition unit, and by described body temperature trans, pulse transducer, heart rate sensor and highly sensitive capacitance human body feeler, real-time monitor user's body temperature information, pulse information, heart rate information and the detection information to user's contact condition, the legal validity of the facial image information being collected to determine, then legal effective user's facial image information is sent to face-image extraction unit in real time, otherwise, execution step S7;
S4, face-image extraction unit carry out analyzing and processing by the facial image information receiving in real time, and extract the eigenwert of the real-time facial image information of user, and send it to and log in authentication unit;
S5, log in authentication unit by the eigenwert of the real-time facial image information receiving with pre-stored in facial image information database the facial image information eigenwert of validated user mate checking;
S6, be proved to be successful when coupling, communication unit is to computer sending controling instruction, and the checking by operating system login authentication interface enters uses interface, otherwise, execution step S7;
S7, when coupling is during authentication failed, Linux computer operating system continues locking.
Further, in step S7, also set the number of times of coupling checking, when the coupling of computer user verifies that number of times reaches predetermined coupling checking number of times and coupling is not proved to be successful, Linux computer operating system login authentication interface locks, and no longer accepts coupling checking.
The system that realizes the method is by facial image information database, facial image acquisition unit, body temperature trans, pulse transducer, heart rate sensor, highly sensitive capacitance human body feeler, face-image extraction unit, log in authentication unit, communication unit, control module, power supply and pcs terminal equipment form, described facial image information database, facial image acquisition unit, body temperature trans, pulse transducer, heart rate sensor, highly sensitive capacitance human body feeler, face-image extraction unit, logging in authentication unit and communication unit is electrically connected to control module respectively, wherein, described facial image information database is for the facial image information eigenwert of pre-stored validated user, described facial image acquisition unit is for Real-time Collection user's facial image information, and by described body temperature trans, pulse transducer, heart rate sensor and highly sensitive capacitance human body feeler, real-time monitor user's body temperature information, pulse information, heart rate information and the detection information to user's contact condition, to determine the validity of the facial image information being collected by this facial image acquisition unit, and this effective facial image information is sent to face-image extraction unit in real time, described face-image extraction unit carries out analyzing and processing by the facial image information receiving in real time, and extracts the eigenwert of the real-time facial image information of user, described log in authentication unit by the eigenwert of this real-time facial image information receiving with pre-stored in described facial image information database the facial image information eigenwert of validated user mate checking, take and judge whether this user is validated user, described communication unit is sent to pcs terminal equipment for the object command after facial image information eigenwert coupling is verified, and to reach, controls the object that this Linux computer operating system enters use interface.
Specifically, described communication unit comprises USB interface and blue tooth interface; In the described facial image information eigenwert comparison processing module that is provided with in logging in authentication unit, it is for comparing in real time the eigenwert of the real-time facial image information in described facial image acquisition unit and pre-stored facial image information eigenwert at described facial image information database validated user.
Effect of the present invention is: solved the defect that prior art exists, for providing in (SuSE) Linux OS, user use recognition of face to land safely the method for checking, in the method, use face-image recognition technology, the detection information of real-time body temperature, pulse, heart rate and user's contact condition that simultaneously again can Real-Time Monitoring user, guaranteed the legal validity of the facial image information that collects, improve the security of face-image identification, guaranteed the safety of user data.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, by the detailed description to the specific embodiment of the present invention, will make technical scheme of the present invention and other beneficial effects apparent.
Fig. 1 is the process flow diagram of the implementation method in an instantiation in the present invention.
Fig. 2 is the system construction drawing in an instantiation in the present invention.
Embodiment
Before any embodiment of the present invention is described in detail, should be appreciated that application of the present invention is not limited to explanation below or the details of the structure shown in accompanying drawing and the installation of parts and is connected etc.The present invention can adopt other embodiment, and can be implemented in every way or be performed.Meanwhile, should be appreciated that herein for illustrating that jargoon and term that principle of the present invention and feature are used should not be considered to restrictive." comprising " used herein, " comprising " and distortion thereof mean and comprise following listed every and its coordinator and additive term; Term " connection " and distortion thereof are widely used; its including, but not limited in direct mode or indirect mode connect, the connected mode of one or more wherein such as induction or coupling; in addition; " connection " or " coupling " is including, but not limited to connection or the coupling of physics or machinery; embodiment based in the present invention; those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, all belong to the scope of protection of the invention.
As shown in Figure 1, in (SuSE) Linux OS, use recognition of face to land safely the method for checking, it is characterized in that: comprise the steps:
S1, user are using the starting stage of Linux computer operating system by facial image acquisition unit, to collect in advance the facial image information of this validated user, extract the eigenwert of this facial image information, and be stored in described facial image information database;
S2, user open computer, enter the login authentication interface of Linux computer operating system;
S3, user are by the real-time typing facial image information in facial image acquisition unit, and by described body temperature trans, pulse transducer, heart rate sensor and highly sensitive capacitance human body feeler, real-time monitor user's body temperature information, pulse information, heart rate information and the detection information to user's contact condition, the legal validity of the facial image information being collected to determine, then legal effective user's facial image information is sent to face-image extraction unit in real time, otherwise, execution step S7;
S4, face-image extraction unit carry out analyzing and processing by the facial image information receiving in real time, and extract the eigenwert of the real-time facial image information of user, and send it to and log in authentication unit;
S5, log in authentication unit by the eigenwert of the real-time facial image information receiving with pre-stored in facial image information database the facial image information eigenwert of validated user mate checking;
S6, be proved to be successful when coupling, communication unit is to computer sending controling instruction, and the checking by operating system login authentication interface enters uses interface, otherwise, execution step S7;
S7, when coupling is during authentication failed, Linux computer operating system continues locking.
Further, in step S7, also set the number of times of coupling checking, when the coupling of computer user verifies that number of times reaches predetermined coupling checking number of times and coupling is not proved to be successful, Linux computer operating system login authentication interface locks, and no longer accepts coupling checking.
The system that realizes as shown in Figure 2 the method is by facial image information database, facial image acquisition unit, body temperature trans, pulse transducer, heart rate sensor, highly sensitive capacitance human body feeler, face-image extraction unit, log in authentication unit, communication unit, control module, power supply and pcs terminal equipment form, described facial image information database, facial image acquisition unit, body temperature trans, pulse transducer, heart rate sensor, highly sensitive capacitance human body feeler, face-image extraction unit, logging in authentication unit and communication unit is electrically connected to control module respectively, wherein, described facial image information database is for the facial image information eigenwert of pre-stored validated user, described facial image acquisition unit is for Real-time Collection user's facial image information, and by described body temperature trans, pulse transducer, heart rate sensor and highly sensitive capacitance human body feeler, real-time monitor user's body temperature information, pulse information, heart rate information and the detection information to user's contact condition, to determine the validity of the facial image information being collected by this facial image acquisition unit, and this effective facial image information is sent to face-image extraction unit in real time, described face-image extraction unit carries out analyzing and processing by the facial image information receiving in real time, and extracts the eigenwert of the real-time facial image information of user, described log in authentication unit by the eigenwert of this real-time facial image information receiving with pre-stored in described facial image information database the facial image information eigenwert of validated user mate checking, take and judge whether this user is validated user, described communication unit is sent to pcs terminal equipment for the object command after facial image information eigenwert coupling is verified, and to reach, controls the object that this Linux computer operating system enters use interface.
Specifically, described communication unit comprises USB interface and blue tooth interface; In the described facial image information eigenwert comparison processing module that is provided with in logging in authentication unit, it is for comparing in real time the eigenwert of the real-time facial image information in described facial image acquisition unit and pre-stored facial image information eigenwert at described facial image information database validated user.
The foregoing is only preferred embodiment of the present invention; not in order to limit the present invention; for those of ordinary skill in the field; can also make other changes in different forms on the basis of the above description; here exhaustive without also giving all embodiments; within the spirit and principles in the present invention all, any modification of making, be equal to replacement, improvement etc., within being still included in protection scope of the present invention.

Claims (4)

  1. In 1.Linux operating system, use recognition of face to land safely the method for checking, it is characterized in that: comprise the steps:
    S1, user are using the starting stage of Linux computer operating system by facial image acquisition unit, to collect in advance the facial image information of this validated user, extract the eigenwert of this facial image information, and be stored in described facial image information database;
    S2, user open computer, enter the login authentication interface of Linux computer operating system;
    S3, user are by the real-time typing facial image information in facial image acquisition unit, and by described body temperature trans, pulse transducer, heart rate sensor and highly sensitive capacitance human body feeler, real-time monitor user's body temperature information, pulse information, heart rate information and the detection information to user's contact condition, the legal validity of the facial image information being collected to determine, then legal effective user's facial image information is sent to face-image extraction unit in real time, otherwise, execution step S7;
    S4, face-image extraction unit carry out analyzing and processing by the facial image information receiving in real time, and extract the eigenwert of the real-time facial image information of user, and send it to and log in authentication unit;
    S5, log in authentication unit by the eigenwert of the real-time facial image information receiving with pre-stored in facial image information database the facial image information eigenwert of validated user mate checking;
    S6, be proved to be successful when coupling, communication unit is to computer sending controling instruction, and the checking by operating system login authentication interface enters uses interface, otherwise, execution step S7;
    S7, when coupling is during authentication failed, Linux computer operating system continues locking.
  2. 2. in (SuSE) Linux OS according to claim 1, use recognition of face to land safely the method for checking, it is characterized in that: in step S7, also set the number of times of coupling checking, when the coupling of computer user verifies that number of times reaches predetermined coupling checking number of times and coupling is not proved to be successful, the locking of Linux computer operating system login authentication interface, no longer accepts coupling checking.
  3. 3. in (SuSE) Linux OS according to claim 1, use recognition of face to land safely the method for checking, it is characterized in that: the system that realizes the method is by facial image information database, facial image acquisition unit, body temperature trans, pulse transducer, heart rate sensor, highly sensitive capacitance human body feeler, face-image extraction unit, log in authentication unit, communication unit, control module, power supply and pcs terminal equipment form, described facial image information database, facial image acquisition unit, body temperature trans, pulse transducer, heart rate sensor, highly sensitive capacitance human body feeler, face-image extraction unit, logging in authentication unit and communication unit is electrically connected to control module respectively, wherein, described facial image information database is for the facial image information eigenwert of pre-stored validated user, described facial image acquisition unit is for Real-time Collection user's facial image information, and by described body temperature trans, pulse transducer, heart rate sensor and highly sensitive capacitance human body feeler, real-time monitor user's body temperature information, pulse information, heart rate information and the detection information to user's contact condition, to determine the validity of the facial image information being collected by this facial image acquisition unit, and this effective facial image information is sent to face-image extraction unit in real time, described face-image extraction unit carries out analyzing and processing by the facial image information receiving in real time, and extracts the eigenwert of the real-time facial image information of user, described log in authentication unit by the eigenwert of this real-time facial image information receiving with pre-stored in described facial image information database the facial image information eigenwert of validated user mate checking, take and judge whether this user is validated user, described communication unit is sent to pcs terminal equipment for the object command after facial image information eigenwert coupling is verified, and to reach, controls the object that this Linux computer operating system enters use interface.
  4. 4. in (SuSE) Linux OS according to claim 3, use recognition of face to land safely the method for checking, it is characterized in that: described communication unit comprises USB interface and blue tooth interface; In the described facial image information eigenwert comparison processing module that is provided with in logging in authentication unit, it is for comparing in real time the eigenwert of the real-time facial image information in described facial image acquisition unit and pre-stored facial image information eigenwert at described facial image information database validated user.
CN201410368529.9A 2014-07-30 2014-07-30 Safe login verification method through facial recognition in Linux operation system Pending CN104091110A (en)

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Cited By (4)

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Publication number Priority date Publication date Assignee Title
CN105160289A (en) * 2015-07-03 2015-12-16 深圳市金立通信设备有限公司 Face identification method and terminal
CN109640821A (en) * 2016-06-30 2019-04-16 皇家飞利浦有限公司 For face detection/identifying system method and apparatus
CN109800723A (en) * 2019-01-25 2019-05-24 山东超越数控电子股份有限公司 A kind of recognition of face and the computer booting system and method for staying card is logged in violation of rules and regulations
CN112261323A (en) * 2020-10-21 2021-01-22 淮北市盛世昊明科技服务有限公司 Network security protection system based on big data platform

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Publication number Priority date Publication date Assignee Title
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CN112261323A (en) * 2020-10-21 2021-01-22 淮北市盛世昊明科技服务有限公司 Network security protection system based on big data platform

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Application publication date: 20141008