CN103646203A - Computer safety system with human body biological characteristic recognition - Google Patents
Computer safety system with human body biological characteristic recognition Download PDFInfo
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- CN103646203A CN103646203A CN201310705769.9A CN201310705769A CN103646203A CN 103646203 A CN103646203 A CN 103646203A CN 201310705769 A CN201310705769 A CN 201310705769A CN 103646203 A CN103646203 A CN 103646203A
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- 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
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Abstract
The embodiment of the invention provides a computer safety system with human body biological characteristic recognition, which comprises at least one of a start module, an iris recognition module, a face recognition module and a venous palmprint recognition module. The system adopts three biological characteristic recognition technologies which belong to non-contact detection means, the acceptance user degree is high, the forge difficulty is great, and the system is suitable for occasions with higher safety performance requirements.
Description
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Technical field
the present invention relates to field of information security technology, especially relate to a kind of computer safety system with human body biological characteristics identification.
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Background technology
along with social development, computing machine has become people's work and the not retrievable equipment of life, has also brought great information security hidden danger simultaneously.In actual life, a lot of leakages of a state or party secret, all because computer security is bad to be caused, have brought very large puzzlement to work and life.Although in prior art, have password encryption technology, also have other such as fingerprint recognition, speech recognition etc.But in these methods, all exist certain problem, for example: if computer booting password easily by others, usurped, and the situation that can exist user to forget Password.Fingerprint identification technology can be because wearing and tearing or the injured None-identified that causes of hand of fingerprint.Speech recognition is easily used a hidden recorder by others.
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Summary of the invention
for the problem of current computer poor stability, the embodiment of the present invention has proposed a kind of computer safety system with human body biological characteristics identification that can improve computer security.
to achieve these goals, the embodiment of the present invention provides a kind of computer safety system with human body biological characteristics identification, comprise startup module, also comprise at least one in iris recognition module, face recognition module, vein palmmprint identification module, also comprise human body biological characteristics identification module, human body biological characteristics authentication module, wherein said startup module is for controlling institute's computer starting and the access control to external unit, memory device, described iris recognition module for the iris of the imageing sensor scanning user by computing machine and with computing machine in the authorized user's that preserves iris data contrast to authenticate, described face recognition module for the people's face of the imageing sensor scanning user by computing machine and with computing machine in people's face data of the authorized user that preserves contrast to authenticate, described vein palmmprint identification module for the palm vein texture of the infrared sensor scanning user by computing machine and with computing machine in the palm vein texture of licensing of preserving contrast to authenticate, wherein said startup module connects described iris recognition module, face recognition module, vein palmmprint identification module to authenticate when starting and to use external unit, memory device in authentication by the described computing machine of rear startup or permission user, described human body biological characteristics identification module connects respectively described iris recognition module, face recognition module, vein palmmprint identification module, with the image that iris recognition module, face recognition module, vein palmmprint identification module are collected, carry out filtering, noise reduction process, then utilize extraction characteristics of image to carry out ratio with existing feature database, thereby computer user's identity is differentiated and then result issued to human body biological characteristics authentication module, described human body biological characteristics authentication module connects described human body biological characteristics identification module, starts module computer power supply, storer, external unit are managed by starting module according to the recognition result of human body biological characteristics identification module.
as technique scheme preferably, described face recognition module is by authenticating the shape of user's eyes and mouth.
as technique scheme preferably, described system also comprises feature pretreatment module, described feature pretreatment module is for providing user's register interface and extracting user's iris, people's face, palm vein texture data storage; Described feature pretreatment module connects described startup module.
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the invention has the beneficial effects as follows: the present invention proposes a kind of computer safety system with human body biological characteristics identification, adopted three kinds of biometrics identification technologies to manage the memory device of computer electric power management, external device access, high safety grade.These three kinds of biometrics identification technologies all belong to non-contact type detection means, and user's acceptance is high, and forgery difficulty is large, is suitable for the occasion that security performance is had relatively high expectations.Iris recognition is to utilize the uniqueness of body iris, everyone structure of iris is different, and the iris structure of this uniqueness changed hardly in people's all one's life, make the error rate of this iris recognition extremely low, identification is simultaneously accurately rapidly, safe reliability is high, be difficult for being cracked.Recognition of face uniqueness and the superperformance that is difficult for being replicated are differentiated necessary prerequisite are provided for identity, user does not need to coordinate specially the collection of people's face, almost can under unconscious state, just can obtain facial image, such sampling mode does not have " mandatory ", and user's acceptance is high.Vein palmmprint identification gathers venae subcutaneae texture image, extracts feature and identifies, even if high twin, the clone of its authentication precision also cannot crack.Three kinds of biometrics identification technologies, by carrying out combination with calculating meter, can promote the security level of stand-alone, protection secure user data to greatest extent.Three kinds of technology can be used separately, also can combination of two, can also three kinds of technology be applied to security computer simultaneously.When computer user is during to high safety grade external unit and memory access, also need to carry out human body biological characteristics and compare, by authentication, can normally access external unit and storer; If mate unsuccessfully, cannot access external unit and storer.
Accompanying drawing explanation
by the description of a preferred embodiment of the present invention being carried out below in conjunction with accompanying drawing, it is clearer that technical scheme of the present invention and technique effect thereof will become, and easy to understand more.Wherein:
fig. 1 is the structural representation of the computer safety system of human body living things feature recognition of the present invention.
fig. 2 is the embodiment that has the computer safety system of human body biological characteristics identification of the present invention.
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Embodiment
below with reference to appended accompanying drawing, a preferred embodiment of the present invention is described.
the embodiment of the present invention causes easily stolen problem of data for the poor stability of prior art Computer, a kind of computer safety system with human body biological characteristics identification has been proposed, its structure as shown in Figure 1, a kind of computer safety system with human body biological characteristics identification, comprise startup module, also comprise at least one in iris recognition module, face recognition module, vein palmmprint identification module, also comprise human body biological characteristics identification module, human body biological characteristics authentication module, wherein said startup module is for controlling institute's computer starting and the access control to external unit, memory device, described iris recognition module for the iris of the imageing sensor scanning user by computing machine and with computing machine in the authorized user's that preserves iris data contrast to authenticate, described face recognition module for the people's face of the imageing sensor scanning user by computing machine and with computing machine in people's face data of the authorized user that preserves contrast to authenticate, described vein palmmprint identification module for the palm vein texture of the infrared sensor scanning user by computing machine and with computing machine in the palm vein texture of licensing of preserving contrast to authenticate, wherein said startup module connects described iris recognition module, face recognition module, vein palmmprint identification module to authenticate when starting and to use external unit, memory device in authentication by the described computing machine of rear startup or permission user, described human body biological characteristics identification module connects respectively described iris recognition module, face recognition module, vein palmmprint identification module, with the image that iris recognition module, face recognition module, vein palmmprint identification module are collected, carry out filtering, noise reduction process, then utilize extraction characteristics of image to carry out ratio with existing feature database, thereby computer user's identity is differentiated and then result issued to human body biological characteristics authentication module, described human body biological characteristics authentication module connects described human body biological characteristics identification module, starts module computer power supply, storer, external unit are managed by starting module according to the recognition result of human body biological characteristics identification module.
wherein, the image that human body biological characteristics identification module collects iris recognition module, face recognition module, vein palmmprint identification module carries out filtering, noise reduction process, then utilize extraction characteristics of image to carry out ratio with existing feature database, thereby computer user's identity is differentiated and then result issued to human body biological characteristics authentication module.
human body biological characteristics authentication module manages computer power supply, storer, external unit according to the recognition result of human body biological characteristics identification module.When system starts, advanced row human body biological characteristics is known comparison, if by, to the system operation that powers on; If failure, main frame does not power up.When to high safety grade external unit and memory access, also need to carry out human body biological characteristics and compare, by authentication, can normally access external unit and storer; If mate unsuccessfully, cannot access external unit and storer.
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as shown in Figure 1, described system also comprises feature pretreatment module, and described feature pretreatment module is for providing user's register interface and extracting user's iris, people's face, palm vein texture data and store; Described feature pretreatment module connects described startup module.
when work, first the computer safety system with human body biological characteristics identification of the embodiment of the present invention needs user to register.That is:
step 1, to user, provide register interface so that user registers;
step 2, imageing sensor and/or infrared sensor extract user's iris, people's face, palm vein texture;
step 3, image processing chip extract characteristic processing to this image, and the original image information using the image information after processing as authorized user stores in storer;
step 4, register interface demonstration are succeeded in registration.
when user starts by starting module, its workflow is as follows:
step 1, system initialization also load described iris recognition module, face recognition module, vein palmmprint identification module;
step 2, imageing sensor and/or infrared sensor extract iris image, facial image, palm vein texture;
step 3, the iris image extracting, facial image, palm vein texture are contrasted and mate authentication with the authorized user's who stores in storer original image information; If authentication by; computing machine power up startup; If mate unsuccessfully, do not power up.When carrying out high safety grade external unit and memory access, also need to carry out human body biological characteristics and compare, by authentication, can normally access external unit and storer; If mate unsuccessfully, cannot access external unit and storer.
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the said system that the embodiment of the present invention proposes, can utilize any type of computer hardware to realize, and the present invention does not make restriction to this.
for person of ordinary skill in the field, along with the development of technology, the present invention's design can realize by different way.Embodiments of the present invention are not limited in embodiment described above, and can change within the scope of the claims.
Claims (3)
1. one kind has the computer safety system that human body biological characteristics is identified, it is characterized in that, a kind of computer safety system with human body biological characteristics identification, comprise startup module, also comprise at least one in iris recognition module, face recognition module, vein palmmprint identification module, also comprise human body biological characteristics identification module, human body biological characteristics authentication module, wherein said startup module is for controlling institute's computer starting and the access control to external unit, memory device, described iris recognition module for the iris of the imageing sensor scanning user by computing machine and with computing machine in the authorized user's that preserves iris data contrast to authenticate, described face recognition module for the people's face of the imageing sensor scanning user by computing machine and with computing machine in people's face data of the authorized user that preserves contrast to authenticate, described vein palmmprint identification module for the palm vein texture of the infrared sensor scanning user by computing machine and with computing machine in the palm vein texture of licensing of preserving contrast to authenticate, wherein said startup module connects described iris recognition module, face recognition module, vein palmmprint identification module to authenticate when starting and to use external unit, memory device in authentication by the described computing machine of rear startup or permission user, described human body biological characteristics identification module connects respectively described iris recognition module, face recognition module, vein palmmprint identification module, with the image that iris recognition module, face recognition module, vein palmmprint identification module are collected, carry out filtering, noise reduction process, then utilize extraction characteristics of image to carry out ratio with existing feature database, thereby computer user's identity is differentiated and then result issued to human body biological characteristics authentication module, described human body biological characteristics authentication module connects described human body biological characteristics identification module, starts module computer power supply, storer, external unit are managed by starting module according to the recognition result of human body biological characteristics identification module.
2. the computer safety system with human body biological characteristics identification according to claim 1, is characterized in that, described face recognition module is by authenticating the shape of user's eyes and mouth.
3. the computer safety system with human body biological characteristics identification according to claim 1, it is characterized in that, described system also comprises feature pretreatment module, and described feature pretreatment module is for providing user's register interface and extracting user's iris, people's face, palm vein texture data and store; Described feature pretreatment module connects described startup module.
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| CN104933344A (en) * | 2015-07-06 | 2015-09-23 | 北京中科虹霸科技有限公司 | Mobile terminal user identity authentication device and method based on multiple biological feature modals |
| CN105005720A (en) * | 2015-06-24 | 2015-10-28 | 青岛大学 | Computer security control system |
| CN105354473A (en) * | 2015-11-09 | 2016-02-24 | 南京运航科技有限公司 | Iris identification authentication based device desktop unlocking method and apparatus |
| CN105554026A (en) * | 2016-01-12 | 2016-05-04 | 中北大学 | Electronic record information security management system |
| CN105678139A (en) * | 2015-12-30 | 2016-06-15 | 哈尔滨工业大学 | System and method for driving deformation of shape memory polymer through iris recognition |
| WO2016112515A1 (en) * | 2015-01-15 | 2016-07-21 | 深圳市三木通信技术有限公司 | Scanning method and system for smart mobile terminal |
| CN105975837A (en) * | 2016-06-12 | 2016-09-28 | 北京集创北方科技股份有限公司 | Biological feature recognition device and method and biological feature template registration method |
| CN105975839A (en) * | 2016-06-12 | 2016-09-28 | 北京集创北方科技股份有限公司 | Biological characteristic recognition device and method and biological characteristic template registration method |
| CN106156590A (en) * | 2016-07-07 | 2016-11-23 | 皖西学院 | A kind of computer startup processing method and processing system |
| CN106250738A (en) * | 2015-06-04 | 2016-12-21 | 三星电子株式会社 | For performing electronic installation and the method thereof of personal authentication |
| WO2017173639A1 (en) * | 2016-04-08 | 2017-10-12 | 东莞市中控电子技术有限公司 | Personal recognition device and method on the basis of multi-mode biological recognition information |
| CN108764580A (en) * | 2018-05-28 | 2018-11-06 | 延安大学 | A kind of assembly shop scheduling system |
| CN109446781A (en) * | 2018-11-06 | 2019-03-08 | 北京无线电计量测试研究所 | A kind of iris encryption data storage device and method |
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| 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 |
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| CN104933344A (en) * | 2015-07-06 | 2015-09-23 | 北京中科虹霸科技有限公司 | Mobile terminal user identity authentication device and method based on multiple biological feature modals |
| CN104933344B (en) * | 2015-07-06 | 2019-01-04 | 北京中科虹霸科技有限公司 | Mobile terminal user identity authentication device and method based on multi-biological characteristic mode |
| CN105354473A (en) * | 2015-11-09 | 2016-02-24 | 南京运航科技有限公司 | Iris identification authentication based device desktop unlocking method and apparatus |
| CN105678139A (en) * | 2015-12-30 | 2016-06-15 | 哈尔滨工业大学 | System and method for driving deformation of shape memory polymer through iris recognition |
| CN105678139B (en) * | 2015-12-30 | 2018-10-09 | 哈尔滨工业大学 | A kind of the deformation drive system and method for iris recognition shape-memory polymer |
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| WO2017173639A1 (en) * | 2016-04-08 | 2017-10-12 | 东莞市中控电子技术有限公司 | Personal recognition device and method on the basis of multi-mode biological recognition information |
| WO2017215533A1 (en) * | 2016-06-12 | 2017-12-21 | 北京集创北方科技股份有限公司 | Biological characteristic recognition device and method and biological characteristic template registration method |
| CN105975839A (en) * | 2016-06-12 | 2016-09-28 | 北京集创北方科技股份有限公司 | Biological characteristic recognition device and method and biological characteristic template registration method |
| CN105975837A (en) * | 2016-06-12 | 2016-09-28 | 北京集创北方科技股份有限公司 | Biological feature recognition device and method and biological feature template registration method |
| CN105975837B (en) * | 2016-06-12 | 2019-04-30 | 北京集创北方科技股份有限公司 | Calculate equipment, biological feather recognition method and template register method |
| US10963715B2 (en) | 2016-06-12 | 2021-03-30 | Chipone Technology (Beijing) Co., Ltd | Device and method for biometric recognition and method for registering biometric template |
| CN106156590A (en) * | 2016-07-07 | 2016-11-23 | 皖西学院 | A kind of computer startup processing method and processing system |
| CN108764580A (en) * | 2018-05-28 | 2018-11-06 | 延安大学 | A kind of assembly shop scheduling system |
| CN109446781A (en) * | 2018-11-06 | 2019-03-08 | 北京无线电计量测试研究所 | A kind of iris encryption data storage device and method |
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