CN110472121B - Business card information searching method and device, electronic equipment and computer readable storage medium - Google Patents
Business card information searching method and device, electronic equipment and computer readable storage medium Download PDFInfo
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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Abstract
The disclosure relates to a business card information searching method, a business card information searching device, an electronic device and a storage medium. Wherein, the method comprises the following steps: collecting business card information; analyzing the business card information, and identifying key data in the business card information; and searching corresponding enterprise information in a database according to the key data, and associating the key data with the index identification of the corresponding enterprise information to generate first associated information. According to the method and the device, the information to be inquired does not need to be manually input, and the comprehensive and accurate search of the data information can be completed only through the acquisition of the name card information.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for searching business card information, an electronic device, and a computer-readable storage medium.
Background
With the huge increase of various social economic activities and the rapid development of the internet, the communication cost is reduced, various communication between strangers is more and more complicated, and when the strangers are in initial contact, various information of the strangers can be generally known through internet inquiry so as to avoid potential risks. For example, in business transactions, whether the identity information provided by the opposite party is accurate or not can be known by the name of the opposite party and the company where the opposite party is located, whether the company is in abnormal operation or not can be queried, however, in the prior art, after a person needs to know information, the information such as the company or the name of the person needs to be manually input for querying, and the operation is cumbersome.
Therefore, it is desirable to provide one or more solutions that at least address the above-mentioned problems.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide a business card information searching method, apparatus, electronic device, and computer-readable storage medium, thereby overcoming one or more problems due to limitations and disadvantages of the related art, at least to a certain extent.
According to an aspect of the present disclosure, there is provided a business card information searching method including:
collecting business card information;
analyzing the business card information, and identifying key data in the business card information;
and searching corresponding enterprise information in a database according to the key data, and associating the key data with the index identification of the corresponding enterprise information to generate first associated information.
In an exemplary embodiment of the present disclosure, the collecting business card information includes:
scanning a business card to be processed through image acquisition equipment, carrying out orientation identification on the business card to be processed, and determining an effective information area and an effective information direction;
and extracting the business card information in the effective information area according to the effective information direction.
In an exemplary embodiment of the present disclosure, the business card information includes any one or more of text information and two-dimensional code information.
In an exemplary embodiment of the present disclosure, analyzing business card information and identifying key data in the business card information includes:
when the business card information is text information, extracting a feature vector of the text information;
classifying and identifying the feature vectors through a classifier;
and detecting and correcting the classified and recognized result through a preset language model to obtain the key data.
In an exemplary embodiment of the present disclosure, the method further comprises:
displaying the first associated information;
receiving a trigger signal of a user for the first associated data, and acquiring enterprise information corresponding to the key data according to the index identification of the first associated data;
and displaying the corresponding enterprise information by calling the display interface.
In an exemplary embodiment of the present disclosure, the method further comprises:
when the key data are multiple, acquiring multiple enterprise information corresponding to the multiple key data;
analyzing the relevance among the plurality of enterprise information and generating second relevance information;
and displaying the second associated information by calling a display interface.
In an exemplary embodiment of the present disclosure, searching a database for corresponding enterprise information according to the key data, associating the key data with an index identifier of the corresponding enterprise information, and generating first association information includes:
extracting identification information representing the key data attribute in the key data, and determining the attribute information of the key data according to the identification information;
and matching the enterprise information of the item corresponding to the attribute information in the database.
In one aspect of the present disclosure, there is provided a business card information search apparatus including:
the information acquisition module is used for acquiring the information of the business card;
the data identification module is used for analyzing the business card information and identifying key data in the business card information;
and the information association module is used for searching the corresponding enterprise information in the database according to the key data, associating the key data with the index identification of the corresponding enterprise information and generating first association information.
In one aspect of the present disclosure, there is provided an electronic device including:
a processor; and
a memory having computer readable instructions stored thereon which, when executed by the processor, implement a method according to any of the above.
In an aspect of the disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the method according to any one of the above.
The business card information searching method in the exemplary embodiment of the present disclosure includes collecting business card information first; analyzing the business card information, and identifying key data in the business card information; and searching corresponding enterprise information in a database according to the key data, and associating the key data with the index identification of the corresponding enterprise information to generate first associated information. On one hand, the business card information is analyzed, the key data is further identified and obtained, and the identification efficiency and accuracy of the business card are improved; on the other hand, through the search of the collected information and the correlation of the search results, the user can quickly and accurately acquire the correlation information corresponding to the business card information without any input, and the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The above and other features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
FIG. 1 illustrates a flowchart of a business card information search method according to an exemplary embodiment of the present disclosure;
FIG. 2 is a diagram illustrating an application scenario of a business card information search method according to an exemplary embodiment of the present disclosure;
FIG. 3 is a diagram illustrating an application scenario of a business card information search method according to an exemplary embodiment of the present disclosure;
FIG. 4 is a diagram illustrating an application scenario of a business card information search method according to an exemplary embodiment of the present disclosure;
FIG. 5 shows a schematic block diagram of a business card information search apparatus according to an exemplary embodiment of the present disclosure;
FIG. 6 schematically illustrates a block diagram of an electronic device according to an exemplary embodiment of the present disclosure; and
fig. 7 schematically illustrates a schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the embodiments of the disclosure can be practiced without one or more of the specific details, or with other methods, components, materials, devices, steps, and so forth. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in the form of software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
In the present exemplary embodiment, first, a business card information search method is provided, which can be applied to electronic devices such as computers; referring to fig. 1, the business card information searching method may include the steps of:
step S110, collecting business card information;
step S120, business card information is analyzed, and key data in the business card information are identified;
step S130, searching corresponding enterprise information in a database according to the key data, and associating the key data with the index identification of the corresponding enterprise information to generate first associated information.
The business card information searching method in the exemplary embodiment of the present disclosure includes collecting business card information first; analyzing the business card information, and identifying key data in the business card information; and searching corresponding enterprise information in a database according to the key data, and associating the key data with the index identification of the corresponding enterprise information to generate first associated information. On one hand, the characteristic vectors of the text information in the business card are classified through the classifier so as to further identify and obtain key data, so that the identification efficiency and accuracy of the business card are improved; on the other hand, by generating the first associated information and the second associated information, the user can quickly and accurately acquire the associated information corresponding to the business card information without task input, and the user experience is improved.
Next, the business card information search method in the present exemplary embodiment will be further explained.
In step S110, business card information may be collected.
In the embodiment of the example, the business card to be processed can be scanned through the image acquisition equipment, the orientation of the business card to be processed is identified, and the effective information area and the effective information direction are determined; and extracting the business card information in the effective information area according to the effective information direction. The business card information comprises any one or more items of text information and two-dimensional code information.
Referring to fig. 2, the business card information may be acquired and scanned by scanning an image of a business card to be processed through an image scanning device, or a mobile phone with an image scanning device, a Pad, or other intelligent devices, or by acquiring the business card information to be scanned through photo information stored in an equipment album. Specifically, a corresponding template can be generated according to a common business card format, after the business card is scanned through image acquisition equipment, an effective information area, namely a text or two-dimensional code graphic area, in the business card is identified, and the text or two-dimensional code in the text and/or two-dimensional code graphic area is extracted. And then, further analyzing the direction information of the characters, such as the character direction and the like, determining the reading and arranging sequence of the characters and ensuring the correct character direction. For special-shaped business cards, transparent business cards and the like, the information of the special business cards can be collected through an image recognition algorithm.
The collected business card information is an image containing the text and/or two-dimensional code and other business card information.
In step S120, the business card information may be analyzed to identify key data in the business card information.
In this exemplary embodiment, analyzing the business card information to identify key data in the business card information includes: when the business card information is text information, extracting a feature vector of the text information; classifying and identifying the feature vectors through a classifier; and detecting and correcting the classified and recognized result through a preset language model to obtain the key data.
In the present exemplary embodiment, in order to avoid that the identification effect is affected by excessive useless information in the image in the text information identification process, the image containing the business card information such as characters and/or two-dimensional codes needs to be preprocessed first, so as to perform feature extraction and learning in the following. Specifically, the image may be subjected to processing steps such as graying (if the image is a color image), noise reduction, binarization, character segmentation, normalization and the like, after the binarization, the image has only two colors, namely black and white, one of which is an image background, and the other color is a character to be recognized, and then, the image is subjected to noise reduction processing according to a preset noise reduction algorithm so as to perform feature extraction more accurately. Because the text recognition is carried out word by word, the characters in the image can be divided into single characters through a preset character segmentation mode, whether the character line has an inclined character or not can be further judged, if yes, the inclined character can be subjected to inclined correction, then the single character image is normalized to the same size to complete normalization, and a unified algorithm can be better applied under the same specification. Secondly, feature extraction and dimension reduction processing are carried out on the image containing the name card information such as characters and/or two-dimensional codes. Because the feature vector is the key data for identifying the characters, each different character can be distinguished from other characters by the feature vector, and for numbers and English letters, the feature extraction is easy because the number of the figure is only 10, the number of the English letter is only 52, and the characters are all small character sets, however, for chinese characters, feature extraction is relatively difficult, so in the present exemplary embodiment, after extracting feature vectors of text information, the text information can be identified and classified by a classifier to realize character identification, specifically, after determining which feature extraction method is used, the feature extraction method corresponding to each dimension of numbers, english, chinese characters, and the like is set in advance, feature dimensionality reduction is carried out according to specific business card information, the situation that the processing efficiency of a classifier is greatly influenced due to too high dimensionality of features is avoided, and meanwhile, enough information quantity is reserved for feature vectors with reduced dimensionality. Finally, matching keywords in the extracted text content with a preset business card model, wherein the keywords can be names, telephones, mailboxes, addresses and the like, determining the information of the names, the telephones, the mailboxes, the addresses and the like in the business card information through matching, and obtaining effective information in the business card information according to the conventional structure of the business card information; for business card information which does not include keyword information such as name, telephone, mailbox, address and the like, semantic analysis can be carried out on the business card information so as to determine key data in the business card information. The key data includes data of each dimension in the business card, such as: any one or more of name, telephone, mailbox, address, company name, personal instant messaging information, and the like.
With the popularization of the two-dimension code technology, personal two-dimension code information is usually added in the business card, if the business card contains the text information and the two-dimension code information, the two-dimension code information can be decoded when the business card is subjected to information acquisition, corresponding decoding information or decoding information crawled in a decoding link is obtained according to the feature point information of the two-dimension code, and the decoding information is preferentially used as key data in the business card information. In order to ensure the accuracy of the key data in the business card, the decoding information can be matched with the acquired text information in the business card, so as to confirm the consistency of the decoding information and the acquired text information, and the confirmed information is used as the key data.
Further, after the decoded information is matched with the text information in the obtained business card, if the two-dimensional code information is not completely consistent with the text information, for example, the dimension of the WeChat information is added to the two-dimensional code information, the inconsistent information can also be used as key data.
In step S130, the database may be searched for corresponding enterprise information according to the key data, and the key data may be associated with the index identifier of the corresponding enterprise information to generate first associated information.
Searching corresponding enterprise information in a database according to the key data, associating the key data with the index identification of the corresponding enterprise information, and generating first associated information comprises the following steps: extracting identification information representing the key data attribute in the key data, and determining the attribute information of the key data according to the identification information; and matching the enterprise information of the item corresponding to the attribute information in the database.
The key data attribute is information for distinguishing each dimension of the key data, that is, information for representing name, telephone, mailbox, address and company name, for example, after identifying according to Beijing Jinke technology Limited company, the attribute is confirmed to be the company name, and the identification information for representing the key data attribute is the company name. After key data of the business card are obtained, corresponding enterprise information is searched in a preset enterprise information database through the key data, and then the key data are associated with the URL of the searched webpage with the enterprise information to generate first associated information.
Further, in order to make the search result more accurate, the key data with different attributes can be matched with corresponding items in the preset enterprise information database during searching, that is: the company name is searched under the name item, the telephone number is searched under the number item, and the URL of the corresponding webpage is associated to generate first associated information.
In this example embodiment, the first associated information is presented; receiving a trigger signal of a user for the first associated data, and acquiring enterprise information corresponding to the key data according to the index identification of the first associated data; and displaying the corresponding enterprise information by calling the display interface.
The first associated information is key data bound with a URL of a corresponding web page, and as shown in fig. 3, after the user scans a business card to be processed, enterprise information generated by the first associated data is generated and displayed on a mobile device of the user, where the enterprise information includes information such as a name, a telephone number, a mailbox, and an address of an enterprise. And after the user clicks and displays the first associated information, sending a trigger signal of a first associated data lookup request, and jumping to a webpage with corresponding enterprise information according to the webpage URL associated with the trigger signal so that the user can inquire the enterprise information needing to be searched.
In this example embodiment, when there are a plurality of key data, a plurality of enterprise information corresponding to the plurality of key data is acquired; analyzing the relevance among the plurality of enterprise information and generating second relevance information; and displaying the second associated information by calling a display interface.
As mentioned above, the key data may be any one or more items of name, telephone, mailbox, address, company name, personal instant messaging information, etc., and when there are a plurality of key data, each key data may be respectively searched for corresponding information in a preset enterprise information database, and due to different search conditions, the search results may also be different, so that after the corresponding enterprise information is searched, the relevance therein may be further analyzed, and second relevance information may be generated according to the relevance among the plurality of enterprise information. For example:
TABLE 1
Table 1 shows search result entries of a user searching for an enterprise through key data, which is merely an example for understanding the present disclosure and is not intended to limit the present disclosure to searching for search results of an enterprise through key data.
Assuming that data searched by key data of a user is shown in table 1, different results are searched by different key data shown in table 1, content feedback of second associated information can be added while first associated information is fed back to the user, the feedback form can be that the current searched result of the user is informed to relate to the associated information by adding prompt information, and when the user triggers a prompt information case, the corresponding associated information is displayed; the second associated information and the first associated information can be displayed at the same time. As shown in fig. 4, after a business card is scanned by a user, when a plurality of key data are provided, a plurality of enterprise information corresponding to the plurality of key data are obtained, and the relevance among the plurality of enterprise information is analyzed, so as to generate second relevance information and display the second relevance information on the mobile device of the user, where the second relevance information mainly represents the relevance relationship among the key data when the business card to be processed includes the plurality of key data, for example: investment relationships, partnership relationships, etc. between multiple companies. If no actual association relationship exists among a plurality of companies, the association relationship between the key data and the search result can be used as second association data to be fed back to the user.
It should be noted that although the various steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Further, in the present exemplary embodiment, there is also provided a business card information search apparatus. Referring to fig. 5, the business card information search apparatus 500 may include: an information collection module 510, a data identification module 520, and an information association module 530. Wherein:
an information collecting module 510 for collecting business card information;
the data identification module 520 is used for analyzing the business card information and identifying key data in the business card information;
the information association module 530 is configured to search the database for corresponding enterprise information according to the key data, associate the key data with the index identifier of the corresponding enterprise information, and generate first association information.
The specific details of each business card information search device module are already described in detail in the corresponding audio paragraph identification method, and therefore are not described herein again.
It should be noted that although several modules or units of the business card information search apparatus 500 are mentioned in the above detailed description, such division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 600 according to such an embodiment of the present disclosure is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present disclosure.
As shown in fig. 6, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: the at least one processing unit 610, the at least one memory unit 620, a bus 630 connecting different system components (including the memory unit 620 and the processing unit 610), and a display unit 640.
Wherein the storage unit stores program code that is executable by the processing unit 610 to cause the processing unit 610 to perform steps according to various exemplary embodiments of the present disclosure as described in the above section "exemplary methods" of this specification. For example, the processing unit 610 may perform steps S110 to S140 as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 600 may also communicate with one or more external devices 670 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 660. As shown, the network adapter 660 communicates with the other modules of the electronic device 600 over the bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present disclosure described in the "exemplary methods" section above of this specification, when the program product is run on the terminal device.
Referring to fig. 7, a program product 700 for implementing the above method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.
Claims (7)
1. A method for searching for business card information, the method further comprising:
collecting business card information;
analyzing the business card information, and identifying key data in the business card information; the business card information comprises any one or more items of text information and two-dimensional code information; when the business card information comprises text information and two-dimension code information, matching the decoded information of the two-dimension code with the text information in the business card, and if the decoded information of the two-dimension code is inconsistent with the text information, using the inconsistent information as the key data;
searching corresponding enterprise information in a database according to the key data, associating the key data with the index identification of the corresponding enterprise information to generate first associated information, wherein the first associated information is the key data associated with the corresponding webpage URL, extracting identification information representing the attribute of the key data in the key data, and determining the attribute information of the key data according to the identification information; matching enterprise information of the items corresponding to the attribute information in the database;
when the key data are multiple, acquiring multiple enterprise information corresponding to the multiple key data; analyzing the relevance among the plurality of enterprise information and generating second relevance information; and displaying the second associated information by calling a display interface.
2. The method of claim 1, wherein said collecting business card information comprises:
scanning a business card to be processed through image acquisition equipment, carrying out orientation identification on the business card to be processed, and determining an effective information area and an effective information direction;
and extracting the business card information in the effective information area according to the effective information direction.
3. The method of claim 1, wherein analyzing business card information to identify key data in the business card information comprises:
when the business card information is text information, extracting a feature vector of the text information;
classifying and identifying the feature vectors through a classifier;
and detecting and correcting the classified and recognized result through a preset language model to obtain the key data.
4. The method of claim 1, wherein the method further comprises:
displaying the first associated information;
receiving a trigger signal of a user for the first associated information, and acquiring enterprise information corresponding to the key data according to the index identification of the first associated information;
and displaying the corresponding enterprise information by calling the display interface.
5. An apparatus for searching business card information, the apparatus comprising:
the information acquisition module is used for acquiring the information of the business card;
the data identification module is used for analyzing the business card information and identifying key data in the business card information; the business card information comprises any one or more items of text information and two-dimensional code information; when the business card information comprises text information and two-dimension code information, matching the decoded information of the two-dimension code with the text information in the business card, and if the decoded information of the two-dimension code is inconsistent with the text information, using the inconsistent information as the key data;
an information association module, configured to search, according to the key data, corresponding enterprise information in a database, associate the key data with an index identifier of the corresponding enterprise information, and generate first association information, where the first association information is key data associated with a corresponding web page URL, and the information association module includes: extracting identification information representing the key data attribute in the key data, and determining the attribute information of the key data according to the identification information; matching enterprise information of the items corresponding to the attribute information in the database;
when the key data are multiple, acquiring multiple enterprise information corresponding to the multiple key data; analyzing the relevance among the plurality of enterprise information and generating second relevance information; and displaying the second associated information by calling a display interface.
6. A computer device comprising a processor and a memory;
wherein the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory for implementing the method according to any one of claims 1 to 4.
7. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program realizes the method according to any one of claims 1-4 when executed by a processor.
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| CN112084448B (en) * | 2020-08-31 | 2024-05-07 | 北京金堤征信服务有限公司 | Similar information processing method and device |
| CN112288449A (en) * | 2020-11-20 | 2021-01-29 | 上海欧冶金融信息服务股份有限公司 | User identity verification method and system for wind control supply chain |
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