CN113609464B - Big data analysis management system based on multi-mode biological recognition - Google Patents
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Abstract
The invention discloses a big data analysis management system based on multi-mode biological recognition, which relates to the technical field of big data and comprises a big data analysis system and a biological characteristic authentication system connected with a login verification interface of the big data analysis system, wherein the biological characteristic authentication system is further provided with a parameter configuration module, a biological characteristic acquisition unit, a biological characteristic value processing unit and a biological characteristic recognition output unit, the biological characteristic acquisition unit comprises a biological characteristic acquisition module which is actually configured and is used for correspondingly acquiring different types of biological characteristic information, and the biological characteristic value processing unit comprises a registration information management module, a biological characteristic value processing module and a biological characteristic value storage module. The invention can freely configure and combine the types of multi-mode biological recognition, the authentication mode is more flexible, the actual authentication requirements of different operators are met, and the authentication security level is improved by an arbitrary accumulation authentication mode.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a big data analysis and management system based on multi-mode biological recognition.
Background
The big data analysis management system is often a commercial core, and is often required to be authenticated for operation, in many authentication methods, the identification authentication of the biological characteristics has higher security, so that the method is increasingly adopted, but the traditional identification authentication of the biological characteristics has single identification mode, is not suitable for the blind person for authentication if the iris identification is selected, is not suitable for the blind person for authentication if the voiceprint identification is selected, is not suitable for the deaf-mute, and still has the problem of insufficient security in the single identification mode.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a big data analysis management system based on multi-mode biological recognition.
The technical scheme adopted by the invention is as follows:
the big data analysis management system based on the multi-mode biological recognition comprises a big data analysis system and a biological characteristic authentication system connected with a login verification interface of the big data analysis system, wherein the biological characteristic authentication system is further provided with a parameter configuration module, a biological characteristic acquisition unit, a biological characteristic value processing unit and a biological characteristic recognition output unit, and the big data analysis management system comprises:
the parameter configuration module is used for configuring corresponding types of biological characteristic information sets supporting acquisition according to all types of the biological characteristic acquisition modules which are configurable by the biological characteristic acquisition unit, configuring types of biological characteristic information sets needing to be acquired when registering according to the types of the biological characteristic acquisition modules which are actually configured by the biological characteristic acquisition unit, and configuring the quantity of biological characteristic information types needing to be compared when random accumulated authentication; the method comprises the steps that a collection of types of biological characteristic information which is supported to be collected is a collection A, a collection B of types of biological characteristic information which is required to be collected during registration is a collection A, the collection B is a subset of the collection A, the number of elements of the collection B is L, the minimum number of types of biological characteristic values which are required to be successfully matched during random accumulation authentication is M, and M is smaller than or equal to L and larger than or equal to 2;
the biological characteristic acquisition unit comprises biological characteristic acquisition modules which are actually configured and used for correspondingly acquiring different types of biological characteristic information, and the types of the biological characteristic acquisition modules which are actually configured are selected from the types of the biological characteristic acquisition modules which are configurable to be configured; during registration, extracting a set B configured in the parameter configuration module, and collecting biological characteristic information of all corresponding types according to the types of the biological characteristic information in the set B; during random accumulation authentication, different types of biological characteristic information are collected through an actually configured biological characteristic collection module, the number of the collected different types of biological characteristic information is N, and N is greater than or equal to M and less than or equal to L;
the biological characteristic value processing unit comprises a registration information management module, a biological characteristic value processing module and a biological characteristic value storage module, wherein:
the registration information management module is used for inputting basic information during registration;
the biological characteristic value processing module is used for extracting various biological characteristic information acquired by the biological characteristic acquisition unit during registration, generating biological characteristic values for registration corresponding to various types, and transmitting the biological characteristic values for registration to the biological characteristic value storage module for storage; when the authentication is arbitrarily accumulated, various types of biological characteristic information acquired by the biological characteristic acquisition unit are extracted, corresponding to various types of biological characteristic values for authentication are generated, registration biological characteristic values corresponding to the types of the biological characteristic values for authentication are respectively extracted from the biological characteristic value storage module, the biological characteristic values for authentication and the registration biological characteristic values are compared, whether the biological characteristic values for authentication and the biological characteristic values for registration are matched or not is judged, and a matching result is transmitted to the biological characteristic recognition output unit;
the biological characteristic value storage module is used for associating the biological characteristic value for registration transmitted by the biological characteristic value processing module with corresponding basic information and then storing the biological characteristic value;
the biometric identification output unit is used for receiving the matching results transmitted by the biometric value processing module, outputting information of successful authentication to the login verification interface if the number of successful matching in the matching results is greater than or equal to M, and outputting information of failed authentication to the login verification interface if the number of successful matching in the matching results is less than M.
Preferably, the biometric authentication system is connected with a login verification interface of the big data analysis system in a wired or wireless mode.
Preferably, the configurable biometric feature collection module includes an iris collection module, a face collection module, a fingerprint collection module, a palm print collection module, a blood vessel shape collection module, and a voiceprint collection module, that is, the elements of the collection a include an iris, a face, a fingerprint, a palm print, a blood vessel shape, and a voiceprint.
Preferably, during random accumulation authentication, the biometric feature collection unit collects biometric feature information of different types in sequence according to a random sequence according to the types of the biometric feature collection modules actually configured.
Preferably, during random accumulation authentication, the biometric value processing module sequentially extracts various types of biometric information acquired by the biometric acquisition unit for comparison, the biometric identification output unit accumulates the number of successful matches in the matching, if the number of received matching results is less than L, the number of successful matches is less than M, and a new matching result transmitted by the biometric value processing module is not received within a certain time, the biometric value processing module prompts to continuously acquire the new type of biometric information, if the number of received matching results is equal to L and the number of successful matches is less than M, the authentication failure information is output to the login verification interface, and if the number of successful matches is equal to M, the authentication success information is output to the login verification interface, and the reception of the matching result transmitted by the biometric value processing module is stopped.
The beneficial effects of the invention are as follows:
the multi-mode biometric identification types can be freely configured for combination, different authentication combination collocations are formed by configuring the number of types of biometric information successfully matched which are required by successful authentication, the authentication mode is more flexible, the actual authentication requirements of different operators are met, and the authentication security level is improved by means of random accumulation authentication.
Drawings
FIG. 1 is a block diagram of an embodiment of the present invention;
reference numerals: 1. the system comprises a big data analysis system, a biological characteristic authentication system, a parameter configuration module, a biological characteristic acquisition unit, a biological characteristic acquisition module, a biological characteristic value processing unit, a registration information management module, a biological characteristic value processing module, a biological characteristic value storage module, a biological characteristic identification output unit and a biological characteristic identification output unit.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Examples
As shown in fig. 1, the big data analysis management system based on multi-mode biological recognition comprises a big data analysis system and a biological feature authentication system connected with a login verification interface of the big data analysis system, wherein the biological feature authentication system is further provided with a parameter configuration module, a biological feature acquisition unit, a biological feature value processing unit and a biological feature recognition output unit, wherein:
the parameter configuration module is used for configuring corresponding types of biological characteristic information sets supporting acquisition according to all types of the biological characteristic acquisition modules which are configurable by the biological characteristic acquisition unit, configuring types of biological characteristic information sets needing to be acquired when registering according to the types of the biological characteristic acquisition modules which are actually configured by the biological characteristic acquisition unit, and configuring the quantity of biological characteristic information types needing to be compared when random accumulated authentication; the method comprises the steps that a collection of types of biological characteristic information which is supported to be collected is a collection A, a collection B of types of biological characteristic information which is required to be collected during registration is a collection A, the collection B is a subset of the collection A, the number of elements of the collection B is L, the minimum number of types of biological characteristic values which are required to be successfully matched during random accumulation authentication is M, and M is smaller than or equal to L and larger than or equal to 2; specifically, in this embodiment, the configurable biometric acquisition module is configured as an iris acquisition module, a face acquisition module, a fingerprint acquisition module, a palm print acquisition module, a blood vessel shape acquisition module, and a voiceprint acquisition module, that is, the set a is { iris, face, fingerprint, palm print, blood vessel shape, voiceprint }, the actually configured biometric acquisition module is selected from the configurable biometric acquisition modules according to actual requirements to form different combinations, in this embodiment, the iris acquisition module, the face acquisition module, the fingerprint acquisition module, the palm print acquisition module, and the blood vessel shape acquisition module may be actually configured, that is, the set B is { iris, face, fingerprint, palm print, blood vessel shape }, L is 5, and m may be 3;
the biological characteristic acquisition unit comprises biological characteristic acquisition modules which are actually configured and used for correspondingly acquiring different types of biological characteristic information, and the types of the biological characteristic acquisition modules which are actually configured are selected from the types of the biological characteristic acquisition modules which are configurable to be configured; during registration, extracting a set B configured in the parameter configuration module, and collecting biological characteristic information of all corresponding types according to the types of the biological characteristic information in the set B; during random accumulation authentication, different types of biological characteristic information are acquired through an actually configured biological characteristic acquisition module, the number of the types of the acquired different types of biological characteristic information is N, and N is more than or equal to M and less than or equal to L, namely the number of the types of the different types of biological characteristic information to be acquired is 3-5, and the number during actual acquisition depends on the matching;
the biological characteristic value processing unit comprises a registration information management module, a biological characteristic value processing module and a biological characteristic value storage module, wherein:
the registration information management module is used for inputting basic information during registration, wherein the basic information conventionally comprises an operator name, an identity card number and other related information such as the job position and the position of an operator;
the biological characteristic value processing module is used for extracting various biological characteristic information acquired by the biological characteristic acquisition unit during registration, generating biological characteristic values for registration corresponding to various types, and transmitting the biological characteristic values for registration to the biological characteristic value storage module for storage; when the authentication is arbitrarily accumulated, various types of biological characteristic information acquired by the biological characteristic acquisition unit are extracted, corresponding to various types of biological characteristic values for authentication are generated, registration biological characteristic values corresponding to the types of the biological characteristic values for authentication are respectively extracted from the biological characteristic value storage module, the biological characteristic values for authentication and the registration biological characteristic values are compared, whether the biological characteristic values for authentication and the biological characteristic values for registration are matched or not is judged, and a matching result is transmitted to the biological characteristic recognition output unit;
the biological characteristic value storage module is used for associating the biological characteristic value for registration transmitted by the biological characteristic value processing module with corresponding basic information and then storing the biological characteristic value;
the biometric identification output unit is used for receiving the matching results transmitted by the biometric value processing module, outputting information of successful authentication to the login verification interface if the number of successful matching in the matching results is more than or equal to 3, and outputting information of failed authentication to the login verification interface if the number of successful matching in the matching results is less than 3.
Specifically, the biometric authentication system is connected with a login verification interface of the big data analysis system in a wired or wireless mode.
Specifically, during random accumulation authentication, the biological characteristic acquisition unit sequentially acquires biological characteristic information of different types according to a random sequence according to the types of biological characteristic acquisition modules actually configured.
Specifically, during random accumulation authentication, the biometric value processing module sequentially extracts various types of biometric information acquired by the biometric acquisition unit for comparison, the biometric identification output unit accumulates the successful matching number in the matching, if the number of the received matching results is less than 5, the successful matching accumulated number is less than 3 and no new matching result transmitted by the biometric value processing module is received within a certain time, the biometric value processing module prompts to continuously acquire the new types of biometric information, if the number of the received matching results is equal to 5 and the successful matching accumulated number is less than 3, the authentication failure information is output to the login verification interface, and if the successful matching accumulated number is equal to 3, the authentication successful information is output to the login verification interface, and the receiving of the matching result transmitted by the biometric value processing module is stopped.
The foregoing examples merely illustrate specific embodiments of the invention, which are described in greater detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention.
Claims (5)
1. The big data analysis management system based on the multi-mode biological recognition comprises a big data analysis system and a biological characteristic authentication system connected with a login verification interface of the big data analysis system, and is characterized by further comprising a parameter configuration module, a biological characteristic acquisition unit, a biological characteristic value processing unit and a biological characteristic recognition output unit, wherein:
the parameter configuration module is used for configuring corresponding types of biological characteristic information sets supporting acquisition according to all types of the biological characteristic acquisition modules which are configurable by the biological characteristic acquisition unit, configuring types of biological characteristic information sets needing to be acquired when registering according to the types of the biological characteristic acquisition modules which are actually configured by the biological characteristic acquisition unit, and configuring the quantity of biological characteristic information types needing to be compared when random accumulated authentication; the method comprises the steps that a collection of types of biological characteristic information which is supported to be collected is a collection A, a collection B of types of biological characteristic information which is required to be collected during registration is a collection A, the collection B is a subset of the collection A, the number of elements of the collection B is L, the minimum number of types of biological characteristic values which are required to be successfully matched during random accumulation authentication is M, and M is smaller than or equal to L and larger than or equal to 2;
the biological characteristic acquisition unit comprises biological characteristic acquisition modules which are actually configured and used for correspondingly acquiring different types of biological characteristic information, and the types of the biological characteristic acquisition modules which are actually configured are selected from the types of the biological characteristic acquisition modules which are configurable to be configured; during registration, extracting a set B configured in the parameter configuration module, and collecting biological characteristic information of all corresponding types according to the types of the biological characteristic information in the set B; during random accumulation authentication, different types of biological characteristic information are collected through an actually configured biological characteristic collection module, the number of the collected different types of biological characteristic information is N, and N is greater than or equal to M and less than or equal to L;
the biological characteristic value processing unit comprises a registration information management module, a biological characteristic value processing module and a biological characteristic value storage module, wherein:
the registration information management module is used for inputting basic information during registration;
the biological characteristic value processing module is used for extracting various biological characteristic information acquired by the biological characteristic acquisition unit during registration, generating biological characteristic values for registration corresponding to various types, and transmitting the biological characteristic values for registration to the biological characteristic value storage module for storage; when the authentication is arbitrarily accumulated, various types of biological characteristic information acquired by the biological characteristic acquisition unit are extracted, corresponding to various types of biological characteristic values for authentication are generated, registration biological characteristic values corresponding to the types of the biological characteristic values for authentication are respectively extracted from the biological characteristic value storage module, the biological characteristic values for authentication and the registration biological characteristic values are compared, whether the biological characteristic values for authentication and the biological characteristic values for registration are matched or not is judged, and a matching result is transmitted to the biological characteristic recognition output unit;
the biological characteristic value storage module is used for associating the biological characteristic value for registration transmitted by the biological characteristic value processing module with corresponding basic information and then storing the biological characteristic value;
the biometric identification output unit is used for receiving the matching results transmitted by the biometric value processing module, outputting information of successful authentication to the login verification interface if the number of successful matching in the matching results is greater than or equal to M, and outputting information of failed authentication to the login verification interface if the number of successful matching in the matching results is less than M.
2. The multi-modal biometric based big data analysis management system of claim 1, wherein the biometric authentication system is connected to a log-in authentication interface of the big data analysis system by wired or wireless means.
3. The multi-modal biometric based big data analysis management system of claim 2, wherein the configurable biometric acquisition module comprises an iris acquisition module, a face acquisition module, a fingerprint acquisition module, a palm print acquisition module, a blood vessel shape acquisition module, and a voiceprint acquisition module, wherein the elements of set a comprise an iris, a face, a fingerprint, a palm print, a blood vessel shape, and a voiceprint.
4. The multi-modal biometric based big data analysis management system of claim 3, wherein the biometric acquisition unit sequentially acquires biometric information of different types in a random order according to the type of the biometric acquisition module actually configured during any accumulated authentication.
5. The multi-modal biometric based big data analysis management system according to claim 4, wherein during random accumulation authentication, the biometric value processing module sequentially extracts biometric information of each type collected by the biometric acquisition unit for comparison, the biometric identification output unit accumulates the number of successful matches in the matching, if the number of received matching results is smaller than L, the number of successful matches is smaller than M, and a new matching result transmitted by the biometric value processing module is not received within a certain time, the biometric value processing module prompts to continue to collect the new type of biometric information, if the number of received matching results is equal to L and the number of successful matches is smaller than M, information of authentication failure is output to the login verification interface, and if the number of successful matches is equal to M, information of authentication success is output to the login verification interface, and the reception of the matching result transmitted by the biometric value processing module is stopped.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20070099774A (en) * | 2006-04-05 | 2007-10-10 | (주)니트 젠 | Method and apparatus for biometric registration |
CN101178755A (en) * | 2006-11-08 | 2008-05-14 | 华为技术有限公司 | Method and device for confirming safety level of biology identification systemic |
KR20090011127U (en) * | 2008-04-26 | 2009-10-29 | 주식회사지한정보통신 | Multimodel biometric identification device |
CN105160302A (en) * | 2015-08-10 | 2015-12-16 | 西安凯虹电子科技有限公司 | Multi-model biological recognition general platform and multi-model biological recognition identity authentication method |
CN105389703A (en) * | 2015-11-10 | 2016-03-09 | 陈雷 | Multi-mode-biological-recognition-based hybrid authentication payment system |
WO2016091006A1 (en) * | 2014-12-11 | 2016-06-16 | 苏州海博智能系统有限公司 | Method and system for authorization validating based on biometric identification |
CN107294730A (en) * | 2017-08-24 | 2017-10-24 | 北京无线电计量测试研究所 | A kind of multi-modal biological characteristic identity identifying method, apparatus and system |
KR20190079926A (en) * | 2017-12-28 | 2019-07-08 | 주식회사 에스씨테크원 | Personal identification number substitution authentication apparatus using biometric information in security card and method thereof |
CN111325053A (en) * | 2018-12-13 | 2020-06-23 | 北京计算机技术及应用研究所 | Identity authentication method based on multiple biological characteristics and non-biological characteristics |
-
2021
- 2021-08-04 CN CN202110892829.7A patent/CN113609464B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20070099774A (en) * | 2006-04-05 | 2007-10-10 | (주)니트 젠 | Method and apparatus for biometric registration |
CN101178755A (en) * | 2006-11-08 | 2008-05-14 | 华为技术有限公司 | Method and device for confirming safety level of biology identification systemic |
KR20090011127U (en) * | 2008-04-26 | 2009-10-29 | 주식회사지한정보통신 | Multimodel biometric identification device |
WO2016091006A1 (en) * | 2014-12-11 | 2016-06-16 | 苏州海博智能系统有限公司 | Method and system for authorization validating based on biometric identification |
CN105160302A (en) * | 2015-08-10 | 2015-12-16 | 西安凯虹电子科技有限公司 | Multi-model biological recognition general platform and multi-model biological recognition identity authentication method |
CN105389703A (en) * | 2015-11-10 | 2016-03-09 | 陈雷 | Multi-mode-biological-recognition-based hybrid authentication payment system |
CN107294730A (en) * | 2017-08-24 | 2017-10-24 | 北京无线电计量测试研究所 | A kind of multi-modal biological characteristic identity identifying method, apparatus and system |
KR20190079926A (en) * | 2017-12-28 | 2019-07-08 | 주식회사 에스씨테크원 | Personal identification number substitution authentication apparatus using biometric information in security card and method thereof |
CN111325053A (en) * | 2018-12-13 | 2020-06-23 | 北京计算机技术及应用研究所 | Identity authentication method based on multiple biological characteristics and non-biological characteristics |
Non-Patent Citations (1)
Title |
---|
基于多模态生物识别的安全身份认证技术;谢璐;俞飞;;保密科学技术(第01期);全文 * |
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