CN112860934A - Trademark retrieval system based on machine learning - Google Patents

Trademark retrieval system based on machine learning Download PDF

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Publication number
CN112860934A
CN112860934A CN202110125561.4A CN202110125561A CN112860934A CN 112860934 A CN112860934 A CN 112860934A CN 202110125561 A CN202110125561 A CN 202110125561A CN 112860934 A CN112860934 A CN 112860934A
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trademark
jqs
iis
proxy server
server
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CN202110125561.4A
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杨磊
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Zhejiang Zhiduo Network Technology Co ltd
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Zhejiang Zhiduo Network Technology Co ltd
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Priority to CN202110125561.4A priority Critical patent/CN112860934A/en
Publication of CN112860934A publication Critical patent/CN112860934A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Computer Security & Cryptography (AREA)
  • Library & Information Science (AREA)
  • Computer Hardware Design (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention relates to the technical field of trademark retrieval, and discloses a trademark retrieval system based on machine learning, which comprises: trademark inquiry server RISiRetrieval proxy server IIS running with machine learning system softwareiThe trademark index server cluster JQS which is provided with a web crawler and runs with security authentication system software, and the trademark database RD which stores trademark big data and supports access and downloadi(ii) a The trademark index server cluster JQS comprises trademark index servers JQS1… trademark index Server JQSiTrademark index server JQSj… trademark index Server JQSn(ii) a Operating on a brand index server JQSiPair of security authentication system on the search proxy server IISiThe identity of (2) is subjected to security authentication onlySearch proxy server IISiThe identity of (2) passes the security authentication of the security authentication system, trademark index server JQSiOnly executes the search proxy server IISiThe call request of (2). The invention solves the technical problem that the trademark index server in the trademark retrieval system is illegally called.

Description

Trademark retrieval system based on machine learning
Technical Field
The invention relates to the technical field of trademark retrieval, in particular to a trademark retrieval system based on machine learning.
Background
The trademark is a special image, mainly formed by characters, patterns and the like, and is a mark for distinguishing products or services after being registered. In trademark search, there are many features to be searched for, for example, color, shape, texture, and the like, and spatial similarity measurement can be performed using the spatial relationship of an object in a trademark image.
Because the trademark image often contains rich information such as colors, characters, graphs, character and graph mixture and the like, semantic gaps are easy to appear in the trademark retrieval algorithm, namely the problem that the accuracy of the trademark is not ideal due to the fact that the correlation between bottom-layer visual features and high-layer semantics is not strong is solved.
Before solving the semantic gap problem of trademark retrieval, the illegal calling problem of the trademark index server needs to be solved, because if the trademark index server is illegally called in variable time, the efficiency and the accuracy of the trademark retrieval are greatly reduced.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a trademark retrieval system based on machine learning, which aims to solve the technical problem that a trademark index server in the trademark retrieval system is illegally called.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme:
a machine learning based brand retrieval system, comprising: trademark inquiry server RISiRetrieval proxy server IIS running with machine learning system softwareiThe trademark index server cluster JQS which is provided with a web crawler and runs with security authentication system software, and the trademark database RD which stores trademark big data and supports access and downloadi；
The trademark index server cluster JQS comprises trademark index servers JQS1… trademark index Server JQSiTrademark index server JQSj… trademark index Server JQSn；
Trademark inquiry server RISiIIS with search proxy server through network communication deviceiPerforming communication connection between each other; search proxy server IISiCommunicating with any one of the brand index servers JQS within the brand index server cluster JQS via a network communication deviceiPerforming communication connection between each other; within a brand index server cluster JQSAny trademark index server JQSiBy means of network communication equipment with trademark database RDiPerforming communication connection between each other;
search proxy server IISiMachine learning system software to self-trademark inquiry server RISiAnalyzing the input search trademark image IRP and outputting a trademark image RPiAccording to the trademark image RPiSelecting to invoke a brand index server JQS within a cluster of brand index servers JQSiTrademark index Server JQSiMethod for grabbing trademark database RD by using web crawleriTrademark big data inside;
trademark index server JQSiTo search proxy server IISiThe identity of (2) is securely authenticated, and the authentication method comprises the following steps:
the method comprises the following steps: search proxy server IISiIn trademark index server JQSiThe user registration is performed on the security authentication system, which specifically comprises:
(1) safety authentication system pops up and retrieves proxy server IIS on registration pageiA dialog box for interactive communication;
(2) setting an elliptic curve Q to be defined on a finite field R, generating an element g belonging to Q, and searching an IIS (inter-server information system)iSelecting an integer fiAs the private key, calculate p ═ fiX g, inputting p and g into a dialog box by taking the p and the g as public keys, namely sending the public keys to a security authentication system;
step two: security authentication system IIS for search proxy serveriThe identity of the user is subjected to security authentication, and the specific authentication process is as follows:
(1) safety authentication system pops up and retrieves proxy server IIS on verification pageiA dialog box for interactive communication;
(2) search proxy server IISiRandomly selecting an integer a, calculating that z is a multiplied by g, and sending z to a security authentication system, namely inputting the z into a dialog box;
(3) random selection k of security authentication systemi0 or 1, and k isiIs sent to the detectorIis of cable proxy serveriI.e. displayed within a dialog box;
(4) if k isiIf 0, search the proxy server IISiTransmitting a to a security authentication system; if k isiIf 1, search proxy server IISiA + fiTransmitting to a security authentication system;
(5) the security authentication system performs the following verification: if k isiVerifying whether z is true or not, wherein the z is 0 and a multiplied by g; if k isiVerify that p + z ═ 1 (a + f)i) Whether x g is true;
if the equation z is a × g or p + z is (a + f)i) X g is established, proving the search proxy server IISiKnowledge of private key fiIf the security authentication system passes the search proxy server IISiThe identity authentication of (1).
Further, the trademark index server JQSiAnd trademark index server JQSjThe communication connection is not carried out between the two, and the mutually independent distributed operation states are presented.
Further, the search proxy server IISiThe machine learning system running on the computer adopts a supervised learning algorithm, and the supervised learning algorithm comprises the following steps:
the method comprises the following steps: giving k groups of training sets, the training set takes the retrieval trademark image IRP as an input layer, and takes the trademark image RP similar to the retrieval trademark image IRPiIs an output layer;
step two: the supervised learning algorithm extracts the main color in the retrieval trademark image IRP, combines all connection points with labels with the same color, generates a color area, defines a color classifier, a shape classifier and a relation classifier according to the color area, and learns how to correlate the retrieval trademark image IRP and the trademark image RP by utilizing each classifieriAnd obtaining a machine learning model for searching the trademark image IRP.
Further, in the second step, the step (2), the step (3), the step (4) and the step (5) form a round of authentication, the round of authentication is repeatedly executed for t times, and in the execution process of a certain round of authentication, the proxy server IIS is searchediIf the authentication is not passed, the whole authentication process is terminatedI.e. search proxy server IISiThe identity authentication of the security authentication system is not passed.
(III) advantageous technical effects
Compared with the prior art, the invention has the following beneficial technical effects:
1. the invention operates in a brand index server JQSiPair of security authentication system on the search proxy server IISiOnly the search proxy server IIS performs security authenticationiThe identity of (2) passes the security authentication of the security authentication system, trademark index server JQSiOnly executes the search proxy server IISiThe security authentication mechanism not only greatly promotes any trademark index server JQS in the trademark index server cluster JQSiEffectively prevents illegal users from implementing any brand index server JQS in the brand index server cluster JQSiPlays a role in protecting any one of the brand index servers JQS within the brand index server cluster JQSiThe technical effect of illegal calling is avoided.
2. The invention extracts the main color in the searched trademark image IRP, combines all the connection points with the same color label to generate a color area, defines a color classifier, a shape classifier and a relation classifier according to the color area, and learns how to correlate the searched trademark image IRP and the trademark image RP by utilizing each classifieriThe method solves the problem that semantic gap is easy to appear in a trademark retrieval algorithm, namely the trademark precision is not ideal due to weak correlation between bottom-layer visual features and high-layer semantics.
3. The invention is to search the proxy server IIS in the safety certification systemiAfter the identity authentication is completed, the security authentication system only knows the IIS of the search proxy serveriIs legitimate, it does not know the search proxy server IISiI.e. the search proxy server IISiUnder the premise of not revealing the private key of the user, the identity security authentication is completed, and the authentication mode remarkably improves the IIS of the retrieval proxy serveriThe security performance of the identity authentication process of (1).
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A machine learning based brand retrieval system, comprising: trademark inquiry server RISiRetrieval proxy server IIS running with machine learning system softwareiThe trademark index server cluster JQS which is provided with a web crawler and runs with security authentication system software, and the trademark database RD which stores trademark big data and supports access and downloadi；
The trademark index server cluster JQS comprises trademark index servers JQS1… trademark index Server JQSiTrademark index server JQSj… trademark index Server JQSn(ii) a Trademark index server JQSiAnd trademark index server JQSjThe communication connection is not carried out between the two groups of the distributed operation states, and the mutually independent distributed operation states are presented;
the organization mode of the trademark index server cluster JQS can reduce the communication overhead between nodes to the maximum extent, and the whole index query system has high fault tolerance because the index nodes work independently;
trademark inquiry server RISiIIS with search proxy server through network communication deviceiPerforming communication connection between each other; search proxy server IISiCommunicating with any one of the brand index servers JQS within the brand index server cluster JQS via a network communication deviceiPerforming communication connection between each other; any one brand index server JQS within a cluster of brand index servers JQSiBy means of network communication equipment with trademark database RDiCommunicate with each otherConnecting;
search proxy server IISiMachine learning system software to self-trademark inquiry server RISiAnalyzing the input search trademark image IRP and outputting a trademark image RPiAccording to the trademark image RPiSelecting to invoke a brand index server JQS within a cluster of brand index servers JQSiTrademark index Server JQSiMethod for grabbing trademark database RD by using web crawleriTrademark big data inside;
wherein, the trademark image RPiIs a trademark image similar to the search trademark image IRP;
search proxy server IISiThe machine learning system running on the computer adopts a supervised learning algorithm, and the supervised learning algorithm comprises the following steps:
the method comprises the following steps: giving k groups of training sets, the training set takes the retrieval trademark image IRP as an input layer, and takes the trademark image RP similar to the retrieval trademark image IRPiIs an output layer;
step two: aiming at the problem that semantic gap is easy to appear in a trademark retrieval algorithm, namely, the trademark precision is not ideal due to the fact that the bottom layer visual characteristics are not strongly correlated with the high layer semantics, a supervised learning algorithm extracts the main color in a retrieved trademark image IRP, combines all connection points with labels of the same color to generate a color area, defines a color classifier, a shape classifier and a relation classifier according to the color area, and learns how to correlate the retrieved trademark image IRP and the trademark image RP by utilizing each classifieriObtaining a machine learning model for searching the trademark image IRP;
wherein the color classifier is based on the trademark image RP in the trademark databaseiCarrying out associated retrieval with the color similarity of the retrieved trademark image IRP;
the shape classifier operates on the basis of the trademark image RP in the trademark databaseiCarrying out correlation retrieval on the shape similarity of the IRP and the retrieved trademark image;
the relationship classifier operates on the basis of the trademark image RP in the trademark databaseiCarrying out correlation retrieval on the relationship similarity with the retrieval trademark image IRP;
to prevent retrieval of proxy server IISiIllegitimate invocation of any one of the brand index servers JQS within the brand index server cluster JQSiWhen searching for the proxy server IISiTrademark indexing Server JQSiWhen a call request is sent, the trademark index server JQSiTo search proxy server IISiOnly the search proxy server IIS performs security authenticationiThe identity of (2) passes the security authentication of the security authentication system, trademark index server JQSiOnly executes the search proxy server IISiOtherwise the brand index server JQSiRejection and search proxy server IISiCarrying out communication;
trademark index server JQSiTo search proxy server IISiThe identity of (2) is securely authenticated, and the authentication method comprises the following steps:
the method comprises the following steps: search proxy server IISiIn trademark index server JQSiThe user registration is performed on the security authentication system, which specifically comprises:
(1) safety authentication system pops up and retrieves proxy server IIS on registration pageiA dialog box for interactive communication;
(2) setting an elliptic curve Q to be defined on a finite field R, generating an element g belonging to Q, and searching an IIS (inter-server information system)iSelecting an integer fiAs the private key, calculate p ═ fiX g, inputting p and g into a dialog box by taking the p and the g as public keys, namely sending the public keys to a security authentication system;
wherein, said fiIs a private key that is the only legitimate attestation key and is only the search proxy server IISiOwned separately, i.e. the secure authentication system does not know the private key fi；
Step two: security authentication system IIS for search proxy serveriThe identity of the user is subjected to security authentication, and the specific authentication process is as follows:
(1) safety authentication system pops up and retrieves proxy server IIS on verification pageiA dialog box for interactive communication;
(2) search proxy server IISiRandomly selecting an integer a, calculating that z is a multiplied by g, and sending z to a security authentication system, namely inputting the z into a dialog box;
(3) random selection k of security authentication systemi0 or 1, and k isiSent to search proxy server IISiI.e. displayed within a dialog box;
(4) if k isiIf 0, search the proxy server IISiTransmitting a to a security authentication system; if k isiIf 1, search proxy server IISiA + fiTransmitting to a security authentication system;
(5) the security authentication system performs the following verification: if k isiVerifying whether z is true or not, wherein the z is 0 and a multiplied by g; if k isiVerify that p + z ═ 1 (a + f)i) Whether x g is true;
if the equation z is a × g or p + z is (a + f)i) X g is established, proving the search proxy server IISiKnowledge of private key fiIf the security authentication system passes the search proxy server IISiThe identity authentication of (2);
(6) forming one round of authentication by the step (2), the step (3), the step (4) and the step (5), repeatedly executing for t times, and searching the proxy server IIS in the execution process of one round of authenticationiWithout authentication, the whole authentication process is terminated, i.e. the proxy server IIS is retrievediIdentity authentication which fails the security authentication system;
the security authentication mechanism not only greatly promotes any trademark index server JQS in the trademark index server cluster JQSiEffectively prevents illegal users from implementing any brand index server JQS in the brand index server cluster JQSiPlays a role in protecting any one of the brand index servers JQS within the brand index server cluster JQSiThe technical effect of illegal calling is avoided;
in trademark index server JQSiTo search proxy server IISiOfAfter the authentication is completed, the security authentication system only knows the IIS of the search proxy serveriIs legitimate, it does not know the search proxy server IISiPrivate key f ofiThat is to say the retrieval proxy server IISiWithout revealing its private key fiUnder the premise of (1), the safety authentication of the identity is completed, and the authentication mode remarkably improves the IIS of the retrieval proxy serveriThe security performance of the identity authentication process of (1).
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (4)

1. A trademark retrieval system based on machine learning, characterized by comprising: trademark inquiry server RISiRetrieval proxy server IIS running with machine learning system softwareiThe trademark index server cluster JQS which is provided with a web crawler and runs with security authentication system software, and the trademark database RD which stores trademark big data and supports access and downloadi；
The trademark index server cluster JQS comprises trademark index servers JQS1… trademark index Server JQSiTrademark index server JQSj… trademark index Server JQSn；
Trademark inquiry server RISiIIS with search proxy server through network communication deviceiPerforming communication connection between each other; search proxy server IISiCommunicating with any one of the brand index servers JQS within the brand index server cluster JQS via a network communication deviceiPerforming communication connection between each other; any one brand index server JQS within a cluster of brand index servers JQSiBy means of network communication equipment with trademark database RDiPerforming communication connection between each other;
trademark ropeReferral server JQSiTo search proxy server IISiThe identity of (2) is securely authenticated, and the authentication method comprises the following steps:
the method comprises the following steps: search proxy server IISiIn trademark index server JQSiThe user registration is performed on the security authentication system, which specifically comprises:
(1) safety authentication system pops up and retrieves proxy server IIS on registration pageiA dialog box for interactive communication;
(2) setting an elliptic curve Q to be defined on a finite field R, generating an element g belonging to Q, and searching an IIS (inter-server information system)iSelecting an integer fiAs the private key, calculate p ═ fiX g, inputting p and g into a dialog box by taking the p and the g as public keys, namely sending the public keys to a security authentication system;
step two: security authentication system IIS for search proxy serveriThe identity of the user is subjected to security authentication, and the specific authentication process is as follows:
(1) safety authentication system pops up and retrieves proxy server IIS on verification pageiA dialog box for interactive communication;
(2) search proxy server IISiRandomly selecting an integer a, calculating that z is a multiplied by g, and sending z to a security authentication system, namely inputting the z into a dialog box;
(3) random selection k of security authentication systemi0 or 1, and k isiSent to search proxy server IISiI.e. displayed within a dialog box;
(4) if k isiIf 0, search the proxy server IISiTransmitting a to a security authentication system; if k isiIf 1, search proxy server IISiA + fiTransmitting to a security authentication system;
(5) the security authentication system performs the following verification: if k isiVerifying whether z is true or not, wherein the z is 0 and a multiplied by g; if k isiVerify that p + z ═ 1 (a + f)i) Whether x g is true;
if the equation z is a × g or p + z is (a + f)i) X g is established, proving the search proxy server IISiKnowledge of private keysfiIf the security authentication system passes the search proxy server IISiThe identity authentication of (1).
2. The machine-learning-based trademark retrieval system of claim 1, wherein the trademark index server JQSiAnd trademark index server JQSjThe communication connection is not carried out between the two, and the mutually independent distributed operation states are presented.
3. The machine-learning-based trademark retrieval system of claim 2, wherein the retrieval proxy server IISiThe machine learning system running on the computer adopts a supervised learning algorithm, and the supervised learning algorithm comprises the following steps:
the method comprises the following steps: giving k groups of training sets, the training set takes the retrieval trademark image IRP as an input layer, and takes the trademark image RP similar to the retrieval trademark image IRPiIs an output layer;
step two: the supervised learning algorithm extracts the main color in the retrieval trademark image IRP, combines all connection points with labels with the same color, generates a color area, defines a color classifier, a shape classifier and a relation classifier according to the color area, and learns how to correlate the retrieval trademark image IRP and the trademark image RP by utilizing each classifieriAnd obtaining a machine learning model for searching the trademark image IRP.
4. The trademark retrieval system based on machine learning of claim 1, wherein in the second step, the steps (2) - (5) are formed into one round of authentication, the authentication is repeatedly executed t times, and in the execution process of one round of authentication, the retrieval proxy server IIS is used foriWithout authentication, the whole authentication process is terminated, i.e. the proxy server IIS is retrievediThe identity authentication of the security authentication system is not passed.
CN202110125561.4A 2021-01-29 2021-01-29 Trademark retrieval system based on machine learning Pending CN112860934A (en)

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Application publication date: 20210528

RJ01 Rejection of invention patent application after publication