CN112560636A - Handwritten signature comparison method and system based on image recognition - Google Patents
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Abstract
The invention discloses a handwritten signature comparison method and a system based on image recognition, wherein the method is applied to a handwritten signature comparison system, and the system is provided with a basic database, a graph database, a background management module and a display interface, wherein the method comprises the following steps: firstly, respectively collecting handwritten signature data of all customer managers and customers, importing the handwritten signature data into a graph database through a background management system, preprocessing the handwritten signature data, and directly butting the background management system to enter the graph database if the handwritten signature data is an electronic signature; the client signature characteristics are extracted through the existing image recognition technology, the client signature characteristics are compared with the signature characteristics of a client manager in a database, a similarity ranking is obtained, early warning reminding is carried out on result data exceeding a threshold value, and background manual processing is carried out. The technical problems that in the prior art, the client signature cannot be checked in real time when a bank transacts business, the follow-up checking workload is large, and risk control cannot be performed in advance are solved.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a handwritten signature comparison method and system based on image recognition.
Background
The image recognition technology is widely applied to the fields of face recognition, picture scanning, intelligent security and the like, and the computer is used for processing and analyzing the image to recognize various targets and objects in different modes so as to achieve the understanding capability same as that of human brain. At present, a bank client transacts business, scans and warehouses after signing by hand-written paper or signs by electronic equipment, often, a client manager can replace or forge a client signature for pulling the client and finishing a performance index, even for earning out greater benefits, if disputes occur subsequently, signature data obtained when the business is transacted is called to be checked, only after-affair checking can be carried out by the mode, and before-affair prevention cannot be passed, so that the workload of the client manager is increased, and the bank reputation is influenced to a certain extent.
In the process of implementing the technical scheme of the invention in the embodiment of the present application, the inventor of the present application finds that the above-mentioned technology has at least the following technical problems:
the client signature when the bank transacts business can not be checked in real time, which causes large workload of follow-up checking and failure of risk control in advance.
Disclosure of Invention
The embodiment of the application provides a handwritten signature comparison method and system based on image recognition, solves the technical problems that in the prior art, when a bank handles business, client signatures cannot be checked in real time, subsequent checking workload is large, and risk control cannot be performed in advance, achieves the technical purpose of improving the internal flow of the existing bank, and provides a handwritten signature comparison system which manages and controls in advance through the flow and reduces risk occurrence probability.
The embodiment of the application provides a handwritten signature comparison method based on image recognition, the method is applied to a handwritten signature comparison system, the system is provided with a basic database, a graph database, a background management module and a display interface, and the method comprises the following steps: obtaining first signature data information of all customer managers, wherein the first signature data information comprises a plurality of name information of each customer manager in all the customer managers; acquiring first image information according to the first signature data information; according to a first import instruction, importing the first signature data information into the graph database through the background management module; preprocessing the first signature data information imported into the graph database, and then acquiring first signature characteristic information by using an image recognition technology, wherein the first signature characteristic information comprises signature characteristic information of each customer manager in all the customer managers; when a first client transacts business, second signature data information of the first client is obtained; obtaining second signature characteristic information of the first customer by utilizing the image recognition technology according to the second signature data information; matching the second signature characteristic information with the first signature characteristic information one by one to obtain a first matching result; establishing a first similarity arrangement table according to the first matching result; obtaining first similarity threshold information; judging whether the first similarity arrangement list contains matching result information exceeding the first similarity threshold information or not; if the similarity exists, generating first early warning information according to matching result information exceeding the first similarity threshold information; and sending the first early warning information to a manager.
On the other hand, the application also provides a handwritten signature comparison system based on image recognition, wherein the system comprises: a first obtaining unit, configured to obtain first signature data information of all customer managers, where the first signature data information includes name information of each customer manager in all customer managers; a second obtaining unit, configured to obtain first image information according to the first signature data information; the first import unit is used for importing the first signature data information into the graph database through the background management module according to a first import instruction; a third obtaining unit, configured to obtain first signature feature information by using an image recognition technology after preprocessing the first signature data information imported into the graph database, where the first signature feature information includes signature feature information of each customer manager in all the customer managers; the fourth obtaining unit is used for obtaining second signature data information of the first client when the first client transacts business; a fifth obtaining unit, configured to obtain second signature feature information of the first customer by using the image recognition technology according to the second signature data information; a sixth obtaining unit, configured to match the second signature feature information with the first signature feature information one by one, and obtain a first matching result; a seventh obtaining unit, configured to establish a first similarity ranking table according to the first matching result; an eighth obtaining unit configured to obtain first similarity threshold information; a first determination unit configured to determine whether the first similarity arrangement table includes matching result information exceeding the first similarity threshold information; a ninth obtaining unit, configured to generate first warning information according to matching result information exceeding the first similarity threshold information if the first warning information exists; the first sending unit is used for sending the first early warning information to a manager.
On the other hand, an embodiment of the present application further provides a system for comparing a handwritten signature based on image recognition, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the handwritten signature comparison system is adopted, signature information of a client manager and a client when the client transacts business is obtained through scanning, photographing or direct input and the like, the signature information is guided into a system graph database, signature characteristic information of the client and the client manager is obtained based on an image recognition technology, the signature characteristic information and the signature characteristic information are compared to obtain a similarity ranking, early warning reminding is carried out on result data exceeding a threshold value, a background manual processing mode is adopted, a banking business transaction process is improved, signature information is convenient to verify, the case coverage rate of illegal transaction of internal workers is greatly improved, the illegal transaction of the internal workers is not affected, and the operation compliance of the banks is effectively improved.
The foregoing is a summary of the present disclosure, and embodiments of the present disclosure are described below to make the technical means of the present disclosure more clearly understood.
Drawings
Fig. 1 is a schematic flowchart of a handwritten signature comparison method based on image recognition according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a system for comparing handwritten signatures based on image recognition according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a first importing unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a fifth obtaining unit 16, a sixth obtaining unit 17, a seventh obtaining unit 18, an eighth obtaining unit 19, a first judging unit 20, a ninth obtaining unit 21, a first transmitting unit 22, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides a handwritten signature comparison method based on image recognition, the method is applied to a handwritten signature comparison system, the technical problems that in the prior art, when a bank transacts business, client signatures cannot be checked in real time, subsequent checking workload is large, and risk control cannot be performed in advance are solved, improvement on the existing internal flow of the bank is achieved, the handwritten signature comparison system is provided, management and control are performed in advance through the flow, and the risk occurrence probability is reduced. Hereinafter, example embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The image recognition technology is widely applied to the fields of face recognition, picture scanning, intelligent security and the like, and the computer is used for processing and analyzing the image to recognize various targets and objects in different modes so as to achieve the understanding capability same as that of human brain. At present, a bank client transacts business, scans and warehouses after signing by hand-written paper or signs by electronic equipment, often, a client manager can replace or forge a client signature for pulling the client and finishing a performance index, even for earning out greater benefits, if disputes occur subsequently, signature data obtained when the business is transacted is called to be checked, only after-affair checking can be carried out by the mode, and before-affair prevention cannot be passed, so that the workload of the client manager is increased, and the bank reputation is influenced to a certain extent. In the prior art, the technical problems that the client signature cannot be checked in real time when a bank transacts business, the subsequent checking workload is large, and risk control cannot be performed in advance exist.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a handwritten signature comparison method based on image recognition, the method is applied to a handwritten signature comparison system, the system is provided with a basic database, a graph database, a background management module and a display interface, and the method comprises the following steps: obtaining first signature data information of all customer managers, wherein the first signature data information comprises a plurality of name information of each customer manager in all the customer managers; acquiring first image information according to the first signature data information; according to a first import instruction, importing the first signature data information into the graph database through the background management module; preprocessing the first signature data information imported into the graph database, and then acquiring first signature characteristic information by using an image recognition technology, wherein the first signature characteristic information comprises signature characteristic information of each customer manager in all the customer managers; when a first client transacts business, second signature data information of the first client is obtained; obtaining second signature characteristic information of the first customer by utilizing the image recognition technology according to the second signature data information; matching the second signature characteristic information with the first signature characteristic information one by one to obtain a first matching result; establishing a first similarity arrangement table according to the first matching result; obtaining first similarity threshold information; judging whether the first similarity arrangement list contains matching result information exceeding the first similarity threshold information or not; if the similarity exists, generating first early warning information according to matching result information exceeding the first similarity threshold information; and sending the first early warning information to a manager.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a handwritten signature comparison method based on image recognition, which is applied to a handwritten signature comparison system, and the system has a basic database, a graph database, a background management module, and a display interface, where the method includes:
step S100: obtaining first signature data information of all customer managers, wherein the first signature data information comprises a plurality of name information of each customer manager in all the customer managers;
further, step S100 in the embodiment of the present application further includes:
step S101 b: obtaining a first storage instruction;
step S102 b: and storing the first signature data information into the basic database according to the first storage instruction.
Specifically, the handwritten signature comparison system comprises: basic database, graph database, background management system. The basic database is used for storing all basic service information, system configuration data and the like. And acquiring the first signature data information, wherein the first signature data information comprises a plurality of signature information of each customer manager in all the customer managers, and storing the first signature data information into the basic database after the first signature data information is acquired for the signature data of all the customer managers when the customer managers sign the business through paper documents or electronic signatures.
Step S200: acquiring first image information according to the first signature data information;
specifically, when the handwritten signature comparison system is initialized, the handwritten signature file of the customer manager is scanned or photographed into a picture, the operation is repeated for more than three times to obtain at least three pictures with repeated signatures, then at least three pictures with electronic signatures are obtained through electronic signatures, each customer manager obtains at least six pictures in total, signature basic data of all the customer managers are obtained, and the first image information is obtained.
Step S300: according to a first import instruction, importing the first signature data information into the graph database through the background management module;
step S400: preprocessing the first signature data information imported into the graph database, and then acquiring first signature characteristic information by using an image recognition technology, wherein the first signature characteristic information comprises signature characteristic information of each customer manager in all the customer managers;
specifically, the background management module acquires the signature picture data of all the customer managers and stores the signature picture data in the graph database, and signature features are extracted through a deep learning algorithm based on an image recognition technology. The image identification is based on the main features of the image, the features of the first signature data information are extracted through the image features, the feature information of each signature is determined through deep learning, and then the feature information is stored into the basic database as basic data.
Step S500: when a first client transacts business, second signature data information of the first client is obtained;
specifically, the second signature data information is signature information of the first client, in the process of transacting business by the first client, if the signature is a handwritten signature, the signature is scanned into a picture and then manually imported into the graph database through a background management system, and if the signature is an electronic signature, the background management module is directly docked to enter the graph database.
Step S600: obtaining second signature characteristic information of the first customer by utilizing the image recognition technology according to the second signature data information;
specifically, based on the image recognition technology, the second signature feature information of the first client is extracted through a deep learning algorithm and then saved to the basic database as basic data.
Step S700: matching the second signature characteristic information with the first signature characteristic information one by one to obtain a first matching result;
step S800: establishing a first similarity arrangement table according to the first matching result;
specifically, after the first signature feature information and the second signature feature information are obtained, feature values of the first signature feature information and the second signature feature information are compared to obtain the first matching result, the first matching result includes similarity value information of the first signature feature information and the second signature feature information, and all signature data information is subjected to similarity arrangement to obtain the first similarity arrangement table.
Step S900: obtaining first similarity threshold information;
specifically, the first similarity threshold information is a value for evaluating the similarity between the two pieces of signature data information, and if the similarity exceeds the threshold, the signature information is likely to be the same person, and further verification is required to prevent the bank customer manager from forging the signature information.
Step S1000: judging whether the first similarity arrangement list contains matching result information exceeding the first similarity threshold information or not;
step S1100: if the similarity exists, generating first early warning information according to matching result information exceeding the first similarity threshold information;
step S1200: and sending the first early warning information to a manager.
Specifically, after the first matching result is obtained, the first matching result is displayed on the display page through a background management system, meanwhile, early warning is carried out on the matching data exceeding the first similarity threshold, the handwritten signature comparison system page identifies the signature information exceeding the first similarity threshold, the first early warning information is sent to the manager, and the manager carries out offline verification.
Further, the embodiment S100 of the present application further includes:
step S101 a: acquiring first-class signature data information of all customer managers, wherein the first-class signature data information is paper signature information and comprises a plurality of name information of each customer manager in all the customer managers;
step S102 a: obtaining second-class signature data information of all the customer managers, wherein the second-class signature data information is electronic signature information and comprises a plurality of name information of each customer manager in all the customer managers;
step S103 a: and taking the first type of signature data information and the second type of signature data information as the first signature data information of all the customer managers.
Specifically, the first signature data information comprises handwritten signature information and electronic signature information, if the signature is a handwritten signature, the signature is scanned into a picture and then manually imported into a graph database through the background management module, and if the signature is an electronic signature, the first signature data information is directly butted with the background management module to enter the graph database.
Further, step S1200 in the embodiment of the present application further includes:
step S1201: acquiring first suspicious customer manager information according to the matching result information exceeding the first similarity threshold information;
step S1202: obtaining a first calling instruction;
step S1203: acquiring first monitoring video information of the first suspicious customer manager according to the first calling instruction;
step S1204: and judging whether the business handling process of the first suspicious client manager meets a preset rule or not according to the first monitoring video information.
Specifically, after the signature information exceeding the first matching similarity threshold is obtained from the first matching result information, the first suspicious client manager information corresponding to the signature exceeding the first similarity threshold is obtained, the administrator queries early warning reminding data through a background system, and then calls monitoring when the first suspicious client manager handles the business to check whether the business process meets the specification.
Further, step S500 in the embodiment of the present application further includes:
step S501: acquiring the signature type information of the second signature data information;
step S502: when the signature type of the second signature data information is a paper signature, second image information is obtained according to the second signature data information;
step S503: obtaining a second import instruction;
step S504: and importing the second image information into the graph database through the background management module according to the second import instruction.
Specifically, in the process of transacting business by the first client, when the signature type of the second signature data information is a paper signature, the second signature data information is scanned into a picture and then manually imported into the graph database through the background management module.
Further, step S600 in the embodiment of the present application further includes:
step S601: when the signature type of the second signature data information is electronic signature, acquiring electronic signature equipment corresponding to the second signature data information according to the second signature data information;
step S602: obtaining a first docking instruction;
step S603: and according to the first docking instruction, after the electronic signature device is docked with a background management module, entering the graph database.
Specifically, in the process that the first client transacts the business, if the first client transacts the business, the corresponding electronic signature device directly connects with the background management module, and the second signature data information is imported into the graph database.
Further, step S1000 in the embodiment of the present application further includes:
step S1001: when the first similarity arrangement list contains matching result information exceeding the first similarity threshold information, obtaining first identification information;
step S1002: and displaying the first identification information through the display interface.
Specifically, when the similarity of the signature information in the first matching result exceeds the first similarity threshold, the handwritten signature comparison system performs early warning on the matching data exceeding the threshold, and identifies abnormal information by obtaining the first identification information, for example, a display page of the handwritten signature comparison system can be identified by a striking red color block, and then is verified offline by an administrator, so that the accuracy of signature verification is further ensured.
In summary, the handwritten signature comparison method based on image recognition provided by the embodiment of the present application has the following technical effects:
the handwritten signature comparison system is adopted, signature information of a client manager and a client when the client transacts business is obtained through scanning, photographing or direct input and the like, the signature information is guided into a system graph database, signature characteristic information of the client and the client manager is obtained based on an image recognition technology, the signature characteristic information and the signature characteristic information are compared to obtain a similarity ranking, early warning reminding is carried out on result data exceeding a threshold value, a background manual processing mode is adopted, a banking business transaction process is improved, signature information is convenient to verify, the case coverage rate of illegal transaction of internal workers is greatly improved, the illegal transaction of the internal workers is not affected, and the operation compliance of the banks is effectively improved.
Example two
Based on the same inventive concept as the handwritten signature comparison method based on image recognition in the foregoing embodiment, the present invention further provides a handwritten signature comparison system based on image recognition, as shown in fig. 2, the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first signature data information of all customer managers, where the first signature data information includes a plurality of name information of each customer manager in all customer managers;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first image information according to the first signature data information;
a first import unit 13, where the first import unit 13 is configured to import the first signature data information to the graph database through the background management module according to a first import instruction;
a third obtaining unit 14, where the third obtaining unit 14 is configured to obtain first signature feature information by using an image recognition technology after preprocessing the first signature data information imported into the graph database, where the first signature feature information includes signature feature information of each customer manager in all the customer managers;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain second signature data information of a first client when the first client transacts a service;
a fifth obtaining unit 16, wherein the fifth obtaining unit 16 is configured to obtain second signature feature information of the first customer by using the image recognition technology according to the second signature data information;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to perform one-to-one matching on the second signature characteristic information and the first signature characteristic information to obtain a first matching result;
a seventh obtaining unit 18, where the seventh obtaining unit 18 is configured to establish a first similarity ranking table according to the first matching result;
an eighth obtaining unit 19, where the eighth obtaining unit 19 is configured to obtain first similarity threshold information;
a first judging unit 20, where the first judging unit 20 is configured to judge whether the first similarity ranking table includes matching result information exceeding the first similarity threshold information;
a ninth obtaining unit 21, where the ninth obtaining unit 21 is configured to generate first warning information according to matching result information exceeding the first similarity threshold information if the first warning information exists;
and the first sending unit 22, where the first sending unit 22 is configured to send the first warning information to a manager.
Further, the system further comprises:
a tenth obtaining unit, configured to obtain first-class signature data information of all the customer managers, where the first-class signature data information is paper signature information, and the first-class signature data information includes multiple name information of each customer manager in all the customer managers;
an eleventh obtaining unit, configured to obtain second-class signature data information of all the customer managers, where the second-class signature data information is electronic signature information, and the second-class signature data information includes multiple name information of each customer manager in all the customer managers;
a twelfth obtaining unit, configured to use the first type signature data information and the second type signature data information as the first signature data information of all the customer managers. .
Further, the system further comprises:
a thirteenth obtaining unit to obtain a first store instruction;
a first storage unit to store the first signature data information into the base database according to the first store instruction.
Further, the system further comprises:
a fourteenth obtaining unit, configured to obtain first suspicious customer manager information according to matching result information that exceeds the first similarity threshold information;
a fifteenth obtaining unit configured to obtain a first fetch instruction;
a sixteenth obtaining unit, configured to obtain, according to the first invoking instruction, first monitoring video information of the first suspicious customer manager;
and the second judging unit is used for judging whether the business handling process of the first suspicious client manager meets a preset rule or not according to the first monitoring video information.
Further, the system further comprises:
a seventeenth obtaining unit, configured to obtain the signature type information to which the second signature data information belongs;
an eighteenth obtaining unit, configured to, when the signature type of the second signature data information is a paper signature, obtain second image information according to the second signature data information;
a nineteenth obtaining unit to obtain a second import instruction;
and the second import unit is used for importing the second image information into the graph database through the background management module according to the second import instruction.
Further, the system further comprises:
a twentieth obtaining unit, configured to, when the signature type of the second signature data information is an electronic signature, obtain, according to the second signature data information, an electronic signature device corresponding to the second signature data information;
a twenty-first obtaining unit, configured to obtain a first docking instruction;
and the twenty-second obtaining unit is used for entering the graph database after the electronic signature device is docked with the background management module according to the first docking instruction.
Further, the system further comprises:
a twenty-third obtaining unit configured to obtain first identification information when matching result information exceeding the first similarity threshold information is included in the first similarity alignment table;
the first display unit is used for displaying the first identification information through the display interface.
Various changes and specific examples of the image recognition-based handwritten signature comparison method in the first embodiment of fig. 1 are also applicable to the image recognition-based handwritten signature comparison system in the present embodiment, and through the foregoing detailed description of the image recognition-based handwritten signature comparison method, a person skilled in the art can clearly know the image recognition-based handwritten signature comparison system in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the handwritten signature comparison method based on image recognition in the foregoing embodiments, the present invention further provides a handwritten signature comparison system based on image recognition, in which a computer program is stored, and when the computer program is executed by a processor, the steps of the handwritten signature comparison method based on image recognition are implemented.
Where in fig. 3a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the application provides a handwritten signature comparison method based on image recognition, the method is applied to a handwritten signature comparison system, the system is provided with a basic database, a graph database, a background management module and a display interface, and the method comprises the following steps: obtaining first signature data information of all customer managers, wherein the first signature data information comprises a plurality of name information of each customer manager in all the customer managers; acquiring first image information according to the first signature data information; according to a first import instruction, importing the first signature data information into the graph database through the background management module; preprocessing the first signature data information imported into the graph database, and then acquiring first signature characteristic information by using an image recognition technology, wherein the first signature characteristic information comprises signature characteristic information of each customer manager in all the customer managers; when a first client transacts business, second signature data information of the first client is obtained; obtaining second signature characteristic information of the first customer by utilizing the image recognition technology according to the second signature data information; matching the second signature characteristic information with the first signature characteristic information one by one to obtain a first matching result; establishing a first similarity arrangement table according to the first matching result; obtaining first similarity threshold information; judging whether the first similarity arrangement list contains matching result information exceeding the first similarity threshold information or not; if the similarity exists, generating first early warning information according to matching result information exceeding the first similarity threshold information; and sending the first early warning information to a manager.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A handwritten signature comparison method based on image recognition is applied to a handwritten signature comparison system, and the system is provided with a basic database, a graph database, a background management module and a display interface, wherein the method comprises the following steps:
obtaining first signature data information of all customer managers, wherein the first signature data information comprises a plurality of name information of each customer manager in all the customer managers;
acquiring first image information according to the first signature data information;
according to a first import instruction, importing the first signature data information into the graph database through the background management module;
preprocessing the first signature data information imported into the graph database, and then acquiring first signature characteristic information by using an image recognition technology, wherein the first signature characteristic information comprises signature characteristic information of each customer manager in all the customer managers;
when a first client transacts business, second signature data information of the first client is obtained;
obtaining second signature characteristic information of the first customer by utilizing the image recognition technology according to the second signature data information;
matching the second signature characteristic information with the first signature characteristic information one by one to obtain a first matching result;
establishing a first similarity arrangement table according to the first matching result;
obtaining first similarity threshold information;
judging whether the first similarity arrangement list contains matching result information exceeding the first similarity threshold information or not;
if the similarity exists, generating first early warning information according to matching result information exceeding the first similarity threshold information;
and sending the first early warning information to a manager.
2. The method of claim 1, wherein said obtaining first signed data information for all customer managers comprises:
acquiring first-class signature data information of all customer managers, wherein the first-class signature data information is paper signature information and comprises a plurality of name information of each customer manager in all the customer managers;
obtaining second-class signature data information of all the customer managers, wherein the second-class signature data information is electronic signature information and comprises a plurality of name information of each customer manager in all the customer managers;
and taking the first type of signature data information and the second type of signature data information as the first signature data information of all the customer managers.
3. The method as claimed in claim 1, wherein said obtaining the first signed data messages of all customer managers comprises:
obtaining a first storage instruction;
and storing the first signature data information into the basic database according to the first storage instruction.
4. The method of claim 1, wherein after the transmitting the first warning information to a manager, the method further comprises:
acquiring first suspicious customer manager information according to the matching result information exceeding the first similarity threshold information;
obtaining a first calling instruction;
acquiring first monitoring video information of the first suspicious customer manager according to the first calling instruction;
and judging whether the business handling process of the first suspicious client manager meets a preset rule or not according to the first monitoring video information.
5. The method of claim 1, wherein after obtaining the second signed data message of the first customer while the first customer transacts the business, the method further comprises:
acquiring the signature type information of the second signature data information;
when the signature type of the second signature data information is a paper signature, second image information is obtained according to the second signature data information;
obtaining a second import instruction;
and importing the second image information into the graph database through the background management module according to the second import instruction.
6. The method of claim 1, wherein the method further comprises:
when the signature type of the second signature data information is electronic signature, acquiring electronic signature equipment corresponding to the second signature data information according to the second signature data information;
obtaining a first docking instruction;
and according to the first docking instruction, after the electronic signature device is docked with a background management module, entering the graph database.
7. The method of claim 1, wherein the method further comprises:
when the first similarity arrangement list contains matching result information exceeding the first similarity threshold information, obtaining first identification information;
and displaying the first identification information through the display interface.
8. A system for comparing handwritten signatures based on image recognition, wherein the system comprises:
a first obtaining unit, configured to obtain first signature data information of all customer managers, where the first signature data information includes name information of each customer manager in all customer managers;
a second obtaining unit, configured to obtain first image information according to the first signature data information;
the first import unit is used for importing the first signature data information into the graph database through the background management module according to a first import instruction;
a third obtaining unit, configured to obtain first signature feature information by using an image recognition technology after preprocessing the first signature data information imported into the graph database, where the first signature feature information includes signature feature information of each customer manager in all the customer managers;
the fourth obtaining unit is used for obtaining second signature data information of the first client when the first client transacts business;
a fifth obtaining unit, configured to obtain second signature feature information of the first customer by using the image recognition technology according to the second signature data information;
a sixth obtaining unit, configured to match the second signature feature information with the first signature feature information one by one, and obtain a first matching result;
a seventh obtaining unit, configured to establish a first similarity ranking table according to the first matching result;
an eighth obtaining unit configured to obtain first similarity threshold information;
a first determination unit configured to determine whether the first similarity arrangement table includes matching result information exceeding the first similarity threshold information;
a ninth obtaining unit, configured to generate first warning information according to matching result information exceeding the first similarity threshold information if the first warning information exists;
the first sending unit is used for sending the first early warning information to a manager.
9. A system for handwritten signature comparison based on image recognition, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method according to any one of claims 1 to 7.
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