KR102259477B1 - Smart information input method and smart information input system - Google Patents

Abstract

The present invention discloses a smart information input method and a smart information input system that can provide additional company information used for obtaining object information while obtaining accurate object information by matching object information extracted from an image of an object with enterprise information do. A smart information input method according to an embodiment of the present invention comprises: a first step of scanning an object including at least a business card, a business registration certificate, and a receipt to obtain image information about the object; a second step of comparing the image information with the company information received from the server and extracting linked extracted information; a third step of determining a category to which the character string of the extracted information belongs to obtain classification information for each category; a fourth step of obtaining object information and mismatched error object information by comparing and analyzing classification information for each category and company information; a fifth step of obtaining object information by correcting a string of error object information with company information; and in the fourth step, a sixth step of extracting additional information that does not match the category-specific classification information from among the company information matching the category-specific classification information.

Description

Smart information input method and smart information input system {Smart information input method and smart information input system}

The present invention relates to a smart information input method and a smart information input system, and more particularly, to obtain accurate object information by matching object information extracted from an image of an object with enterprise information, and additional enterprise information used to obtain object information It relates to a smart information input method and a smart information input system that can provide

Conventionally, when storing object information, which is electronic information on objects such as business cards, business registration certificates, and receipts, it is common to store object information based on an object image photographed by a user or information directly input by a user.

In this way, as a prior art for storing object information, in Korean Patent No. 10-0784332 and Korean Patent No. 10-0664421, while checking an image or image of a business card input from a camera, a user uses object information (business card) information) are disclosed.

However, in the prior art, when a user acquires a business card image by photographing a business card, inaccurate information may be reflected as object information due to technical limitations of shooting, such as angle of view and reflection, and insufficient image recognition technology. There was a problem that the information could not be reflected.

In addition, when the user directly inputs information, there is a problem in that the object information is not accurate because the reflection of accurate information is inhibited because the information necessary for the object information is intentionally or mistakenly entered incorrectly.

On the other hand, in the prior art, it is limited only to business cards, business registration certificates, receipts, etc., which are the shooting targets, and by storing only the information written on the shooting target as object information, object information limited only to the shooting target information is provided to the user, and it is expanded from the limited object information. There was a problem in that it was difficult to provide a variety of information.

Republic of Korea Patent No. 10-0784332 Republic of Korea Patent No. 10-0664421

Accordingly, the present invention has been devised to solve the above problems, and an object of the present invention is to improve the inaccuracy of object information for an object including at least a business card, a business registration certificate, a receipt, and the like.

And an object of the present invention is to provide not only object information, but also additional company information used for obtaining object information.

On the other hand, the technical problem to be achieved in the present invention is not limited to the technical problems mentioned above, and other technical problems that are not mentioned are clearly to those of ordinary skill in the technical field to which the present invention belongs from the following description. It will be understandable.

As a technical method for achieving the above object, the smart information input method according to an embodiment of the present invention scans an object including at least a business card, a business license, and a receipt to obtain image information about the object. ; a second step of comparing the image information with the company information received from the server and extracting linked extracted information; a third step of determining a category to which the character string of the extracted information belongs to obtain classification information for each category; a fourth step of obtaining object information and mismatched error object information by comparing and analyzing classification information for each category and company information; a fifth step of obtaining object information by correcting a string of error object information with company information; and in the fourth step, a sixth step of extracting additional information that does not match the category-specific classification information from among the company information matching the category-specific classification information.

In one embodiment the first step is to scan the object using an OCR solution.

In an embodiment, the image information is OCR information converted into an optical recognition string by an OCR solution.

In one embodiment, the extracted information is a company name, address, phone number, fax number, URL, e-mail, postal code, postal address, representative name, business registration number, corporate registration number, business opening that is a string of image information matching the company information Information that includes one or more of the date, year, and location of the place of business.

In one embodiment, in the third step, the category of extracted information is determined using the category solution, and the category solution is one or more categories of company name, address, zip code, phone number, fax number, email, business location, and opening date. includes

In one embodiment, in the fourth step, the company information for comparative analysis is received, collected, or provided from one of the server, memory, Internet, and mail in the second step, or collectively in one or the company of the server, memory, Internet, and mail. It is the company information received and stored in the database.

In one embodiment, the fourth step is to obtain object information by using one or more matching solutions, and the matching solution is a character comparison-based matching solution matching based on string similarity, address-based matching matching based on coordinate position transformation solution, including at least one of a zip code-based matching solution using a zip code, and a deep learning-based matching solution.

In one embodiment, the additional information is, company name, company type, company size, company status, venture business existence, listing date, homepage, email, business number, phone number, zip code, zip code address number of full-time workers, product name, total assets, Company general information such as total capital, sales, operating profit, net profit, etc. and name, resident registration number, inauguration date, retirement date, current status, position, representative of the same industry training, number of months in the same industry, year in the same industry, etc. first additional information including company representative information; And

Company general information, company representative information, company history, purpose business, affiliated companies, shareholder status, company tracking information such as major facilities, construction performance, intellectual property rights, qualifications and licenses, additional company information such as major customers, comprehensive credit rating and second additional information including corporate security information, such as corporate security information, financial account code, financial statement information, and corporate accounting information such as consolidated financial statement information;

In an embodiment, the sixth step extracts at least one of the first additional information and the second additional information.

As a technical means for achieving the above object, a smart information input system according to an embodiment of the present invention includes: a scanner unit that scans an object including at least a business card, a business registration certificate, and a receipt to obtain image information about the object; a first extracting unit for extracting linked extracted information by comparing the image information with the corporate information received from the server; a category determining unit for determining a category to which the character string of the extracted information belongs to obtain classification information for each category; a comparative analysis unit for obtaining object information and mismatched error object information by comparing and analyzing classification information for each category and company information; a correction unit for obtaining object information by correcting a character string of error object information with company information; and a second extraction unit for extracting additional information that does not match the classification information for each category among the company information matching the classification information for each category from the comparison and analysis unit.

And the smart information input system according to an embodiment of the present invention, the sensing unit for detecting a change in the state of the company based on the company information stored in the server; and a communication unit for transmitting the state change information detected by the sensing unit to the terminal.

According to an embodiment of the present invention, it is possible to improve the inaccuracy of object information for an object including at least a business card, a business registration certificate, a receipt, and the like.

And, according to an embodiment of the present invention, it is possible to provide the user with not only object information, but also additional company information used for obtaining object information.

On the other hand, the effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art from the following description. I will be able to.

1 is a schematic configuration diagram of a smart information input system according to an embodiment of the present invention.
2 to 6 are schematic diagrams illustrating the process of a smart information input method according to an embodiment of the present invention.
7 is a step flow diagram of a smart information input method according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE INVENTION The detailed description to be disclosed below together with the accompanying drawings is intended to describe exemplary embodiments of the present invention, and is not intended to represent the only embodiments in which the present invention may be practiced. The following detailed description includes specific details to provide a thorough understanding of the present invention. However, those of ordinary skill in the art to which the present invention pertains knows that the present invention may be practiced without these specific details. In addition, throughout the specification, when a part is said to "comprising or including" a certain element, it does not exclude other elements, but may further include other elements unless otherwise stated. Means that. In addition, when it is determined that detailed descriptions of known functions or configurations may unnecessarily obscure the subject matter of the present invention in describing the embodiments of the present invention, detailed descriptions thereof will be omitted. In addition, terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout the present specification.

Smart information input system

Hereinafter, a smart information input system (hereinafter, referred to as an “input system”) according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

As shown in these figures, the input system 20 according to an embodiment of the present invention communicates with the server 10 and the terminal 30, respectively. The input system 20 includes a communication unit 200 , a scanner unit 210 , a database 220 , a first extraction unit 230 , a category determination unit 240 , a comparison analysis unit 250 , and a correction unit 260 . , a second extraction unit 270 , a sensing unit 280 , and a control unit 290 .

In addition, the input system 20 receives not only the server 10 but also the company information 224 to be described later through the Internet, memory, mail, and the like. However, the input system 20 may receive the company information 224 from the server 10, the Internet, memory, and mail, as well as other components, for the company information 224 to be described later.

Furthermore, the input system 20 may be configured as one system, but is configured in the server 10 or the terminal 30 , or a part of the configuration is configured in the server 10 , and a part of the remaining configuration is configured in the terminal 30 . can be

The communication unit 200 includes wireless communication and wired communication between the server 10, one of the Internet, memory, and mail and the terminal 30 or one of the server 10, the Internet, memory, and mail and the network in which the terminal 30 is located. It is made possible, and includes one or more modules for transmitting and receiving information between components included in the input system 20 . The communication unit 200 includes, for example, a mobile communication module 201 , a wireless communication module 203 , a short-range communication module 205 , and a wired communication module 207 .

The mobile communication module 201 transmits/receives wireless signals to and from at least one of a base station, an external terminal, and a server on a mobile communication network.

The wireless communication module 203 is a module for wireless communication, and is installed internally or externally. The wireless communication module 203 performs wireless communication using at least one of Wireless LAN (WLAN), Wi-Fi, Wireless broadband (Wibro), World Interoperability for Microwave Access (Wimax), and High Speed Downlink Packet Access (HSDPA). carry out

The short-distance communication module 205 is a module for short-distance communication, and is installed internally or externally. The short-range communication module 205 performs short-range communication using at least one of Bluetooth, Radio Frequency Identification (RFID), infrared communication (IrDA), Ultra Wideband (UWB), and ZigBee.

The wired communication module 207 is a module for wired communication and is installed internally or externally. The wired communication module 207 performs wired communication using Ethernet capable of short-distance wired communication.

The scanner unit 210 scans the object 40 to obtain image information. Specifically, the scanner unit 210 acquires OCR information 213 by scanning the object image 45 that is an image of the object 40 using the OCR solution 211 . Here, OCR (Optical character reader) is referred to as optical character recognition, which means software that converts an image or image of a character obtained by image scanning into a format such as a character code that can be edited by a computer. That is, the scanner unit 210 converts the object image 45 into the OCR information 213 including the optical recognition string.

On the other hand, the object 40 means a paper or document capable of OCR scan including at least a business card 40a, a business registration certificate 40b, and a receipt 40c. However, the object 40 is not limited to the above-described business card 40a, business registration certificate 40b, and receipt 40c, and any embodiment is irrelevant as long as OCR scan is possible.

The database 220 stores the OCR information 213 obtained by the scanner unit 210 for each object 40, and receives, collects, or receives from one of the server 10, memory, Internet, and mail, or the server 10 , memory, the Internet, the company information 224 related to the company received collectively from one of the mail or the company is stored. The database 220 includes, for example, an object DB 221 and a corporate DB 223 .

OCR information 222 classified for each object 40 is stored in the object DB 221 . The OCR information 222 stored in the object DB 221 is transmitted to the first extractor 230 .

The company DB 223 stores the company information 224 received from the server 10 . Here, the company information 224 refers to Korean companies, Nice Credit Rating Information, Incredible, Financial Supervisory Service (DART), Credit Data (National Pension Service), Korean Business Ratings, Korea Credit Ratings, Nice Credit Ratings, Seoul Credit Ratings. It means information related to the company received from the server 10 including the like. The company information 224 is classified into simple company information and detailed company information. Here, simple company information means general company information (eg, company name, company type, company size, company status, existence of a venture company, listing date, website, email, business number, phone number, postal code, postal code address at all times Number of workers, product name, total assets, total capital, sales, operating profit, net income, etc.) and company representative information (eg, name, resident registration number, inauguration date, retirement date, current position, position, training representative in the same industry, employee in the same industry) number of representatives per month, years of service in the same industry, etc.). And detailed company information includes general company information (eg, company overview, major financial information, etc.), company representative information (eg representative information, representative person information, representative career information, representative academic background information, key management information, etc.), Company tracking information (e.g., company history, purpose business, affiliates, shareholder status, major facilities, etc.), additional company information (e.g. construction performance, intellectual property rights, qualifications and licenses, major clients, etc.), corporate security information (e.g. : Comprehensive credit rating, etc.) and corporate accounting information (eg, financial account code, financial statement information, consolidated financial statement information, etc.).

The first extraction unit 230 compares the OCR information 222 with the company information 224 and extracts the related extraction information 233 . The first extraction unit 230 is provided with a first extraction solution 231 for extracting the extraction information 233 .

The first extraction solution 231 is software for extracting the character string of the OCR information 222 that matches the company information 224 .

The extracted information 223 is a company name, address, phone number, fax number, URL, email, postal code, postal address, representative name, business registration number, corporate registration number, business date and business location that matches the company information 224 Information that includes one or more of However, the extracted information 223 is not limited to one of the above-described information, and any information related to a company may be included in the extracted information 223 . As such, the extracted information 223 is, for example, when the object 40 is a business card 40a, a phone number, a fax number, a URL, an email, a company name, a zip code, and an address are obtained from the OCR information 222, Information that matches the company information 224 . In addition, when the object 40 is a business registration certificate 40b, a business registration number, a corporation registration number, a company name, a representative, a date of opening, and a business location are obtained from the OCR information 222, and the business information 224 is matched. it is information And when the object 40 is a receipt 40c, a business registration number, a corporation registration number, a phone number, a fax number, a company name, a representative, and a business location are obtained from the OCR information 222, and the company information 224 and matching information.

The category determining unit 240 determines the category to which the character string of the extracted information 223 belongs, and obtains classification information 243 for each category. The category determining unit 240 is provided with a category solution 241 for obtaining classification information 243 for each category.

The category solution 241 converts the string of the extracted information 233 into the company name, address, phone number, fax number, URL, email, postal code, postal address, representative name, business registration number, corporate registration number, opening date, business location Software that classifies into categories containing at least

Classification information 243 by category is provided by the category solution 241 by company name, address, phone number, fax number, URL, e-mail, postal code, postal address, representative name, business registration number, corporate registration number, opening date, business place. It means information classified into one or more categories among locations. However, the category-specific classification information 243 is not limited to the information classified into the above-described categories, and any category related to a company may be included in the category-specific classification information 243 .

The comparative analysis unit 250 compares and analyzes the classification information 243 by category and the company information 224 to obtain the object information 253 . The comparison analysis unit 250 is provided with a matching solution 251 to obtain the object information 253 . On the other hand, the company information 224 is not received from the server 10, but means information received from the database 220 (preferably, the company DB 224).

The matching solution 251 is, for example, a character comparison-based matching solution that matches based on the string similarity between the category-specific classification information 243 and the company information 224, an address-based matching solution using an address, and a zip code using a zip code It is software equipped with at least a deep learning (machine learning) solution using a base matching solution and deep learning (machine learning) learning. Furthermore, the address-based matching solution matches by using the coordinate location transformation of the map when the expression format of the address is different, that is, when comparison with a string is not possible.

The object information 253 refers to information matched by comparing and analyzing the company information 224 and the classification information 243 for each category. The object information 253 is, for example, one or more categories of company name, address, phone number, fax number, URL, email, postal code, postal address, representative name, business registration number, corporate registration number, opening date, and business location. It is information that matches the classification information 243 and the company information 224 for each category including. However, the object information 253 is not limited to the above-described matching information, and any information matching a category related to a company may be included in the object information 253 .

On the other hand, the matching solution 251 acquires mismatched error object information 255 through matching not only the object information 253 but also the company information 224 and the classification information 243 for each category.

The correction unit 260 corrects the erroneous object information 255 obtained through matching of the matching solution 251 with the object information 263 based on the company information 224 . The correction unit 260 is provided with a correction solution 261 to correct the erroneous object information 255 into the object information 263 . On the other hand, the company information 224 is not received from the server 10, but means information received from the database 220 (preferably, the company DB 224).

The correction solution 261 is software that corrects the character string of the error object information 255 that is not accurately matched or recognized through the matching solution 251 in the comparison analysis unit 250 to be matched with the company information 224 . That is, the object information 263 refers to information obtained by correcting the erroneous object information 255 in which information cannot be grasped with the company information 224 .

The second extraction unit 270 extracts additional information that does not match the classification information 243 by category from among the company information 224 that matches the classification information 243 by category in the matching solution 251 . The second extraction unit 270 is provided with a second extraction solution 271 to extract additional information.

The second extraction solution 271 extracts additional information by classifying the category of the company information 224 that does not match the classification information 243 by category.

Meanwhile, the additional information is classified into the first additional information 273 and the second additional information 275 .

The first additional information 273 includes general company information (eg, company name, company type, company size, company status, existence of venture company, listing date, website, email, business number, phone number, postal code, postal code address, full-time worker Number, product name, total assets, total equity, sales, operating profit, net profit, etc.) and company representative information (eg name, resident registration number, inauguration date, retirement date, current position, position, representative from industry training, number of months in the same industry) representative, years of service in the same industry, etc.). That is, the first additional information 273 means additional information that does not match the category-specific classification information 243 among the simple company information.

The second additional information 275 includes general company information (eg, company overview, major financial information, etc.), company representative information (eg, representative information, representative person information, representative career information, representative educational background information, key management information, etc.); Company tracking information (e.g., company history, purpose business, affiliates, shareholder status, major facilities, etc.), additional company information (e.g. construction performance, intellectual property rights, qualifications and licenses, major clients, etc.), corporate security information (e.g. : Comprehensive credit rating, etc.) and corporate accounting information (eg, financial account code, financial statement information, consolidated financial statement information, etc.). That is, the second additional information 275 means additional information that does not match the category-specific classification information 243 among the detailed company information.

Through this, the input system 20 transmits the object information 253 and 263 and additional information to the terminal 30 . In this case, the additional information transmitted by the input system 20 is at least one of the first additional information 273 and the second additional information 275 .

The sensing unit 280 detects a change in the state of the company based on the company information stored in the server 10 . Here, the change in corporate status means changes or additions to simple corporate information and detailed corporate information, changes to court management, changes in total assets, paid-in capital, total capital, etc., sales, operating profit, net income addition, and representative changes. it means. At this time, the change in the state of the enterprise sensed by the sensing unit 280 is transmitted to the terminal 30 .

On the other hand, the input system 20 may be provided with a notification unit (not shown) for notifying when the sensing unit 280 detects a change in the state of the company.

The control unit 290 is connected to the components of the input system 20 to control the components. The control unit 290 may be a microcomputer, a CPU, the terminal 30, etc. as a representative embodiment, and it is preferable to be composed of a computer including the same.

The terminal 30 includes a communication unit 300 , an application 310 , an input unit 320 , an output unit 330 , a memory 340 , and a control unit 350 .

The communication unit 300 is provided with a mobile communication module, a wireless communication module, a short-range communication module, and the like for communication with the input system 20 .

The application 310 is a program executed to receive object information 253 and 263 and additional information from the input system 20 . When the application 310 is executed, the object information 253, 263 and additional information (preferably, at least one of the first additional information 273 and the second additional information 275) from the input system 20 will receive

The input unit 320 is provided for executing the application 310 and inputting information (preferably, an object image 45) of the object 40 for which information is to be obtained in the input system 20 .

The output unit 330 outputs the object information 253 and 263 and additional information (preferably, at least one of the first additional information 273 and the second additional information 275 ) received from the input system 20 ). provided to do

The memory 340 is provided to store the object image 45 for each application 310 and the object 40 .

The control unit 350 is connected to the above-described components of the terminal 30 to control the above components. A representative embodiment of such a control unit 350 may be a computer (eg, a microcomputer, CPU), etc., here, it is preferable that the CPU that can be provided inside the terminal 30 .

Smart information input method

Hereinafter, a smart information input method (hereinafter, referred to as an “input method”) according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

First, the scanner unit 210 scans the object image 45 of the object 40 including at least a business card 40a, a business registration certificate 40b, and a receipt 40c through the OCR solution 211 to scan the object 40 ) to obtain image information (S10). Here, the image information refers to the OCR information 213 that converts the object image 45 obtained by scanning the object 40 into a character string using optical character recognition (OCR).

After step S10, the OCR information 213 is stored in the object DB 221 as OCR information 222 for each object 40, and the first extraction unit 230 uses the object DB ( 221) by comparing the OCR information 222 stored in the server 10 with the company information 224 received from the server 10 to extract the associated extracted information 233 (S20). Here, the extracted information 233 means information obtained by extracting a character string of the OCR information 222 that matches the company information 224 .

After step S20, the category determining unit 240 determines a category to which the character string of the extracted information 233 belongs by using the category solution 241 (S30). Here, as described above, the category includes at least a company name, address, phone number, fax number, URL, email, postal code, postal address, representative name, business registration number, corporate registration number, opening date, and business location. means The category determining unit 240 determines the categories and obtains classification information 243 for each category.

After step S30, the comparative analysis unit 250 compares and analyzes the classification information 243 by category and the company information 224 through the matching solution 251 to obtain the object information 253 (S40). Furthermore, in step S40, the comparative analysis unit 250 acquires not only the object information 253, but also the error object information 255 that does not match in the matching between the classification information 243 by category and the company information 224.

After step S40, the correction unit 260 obtains the object information 263 by correcting the character string of the error object information 255 to match the company information 224 through the correction solution 261 (S50).

After the step S50, in the step S40, additional information that does not match the classification information 243 by category is extracted from the company information 224 that matches the classification information 243 by category (S60). Here, the additional information means the first additional information 273 and the second additional information 275 .

After step S60, the input system 20 provides the object information 253 obtained in step S40, the object information 263 obtained in step S50, the first additional information 273 and the second additional information obtained in step S60 ( 275) and transmits at least one of them to the terminal 30 . After that, the user can check the information received through the terminal 30 .

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that other specific forms can be easily modified without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative and non-limiting in all respects. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

10: server,
20: smart information input system,
200: communication unit, 201: mobile communication module;
203: wireless communication module, 205: short-range communication module,
207: wired communication module, 210: scanner unit,
211: OCR solution, 213: OCR information,
220: database, 221: object DB,
222: OCR information, 223: company DB,
224: company information, 230: first extraction unit,
231: first extraction solution, 233: extraction information,
240: category determination unit, 241: category solution,
243: classification information by category, 250: analysis unit,
251: matching solution, 253: object information,
255: error object information, 260: correction unit,
261: correction solution, 263: correction object information,
270: a second extraction unit, 271: a second extraction solution;
273: first additional information, 275: second additional information;
280: sensing unit, 290: control unit;
30: terminal;
300: communication unit, 310: application,
320: input unit, 330: output unit,
340: memory, 350: control unit,
40: object,
40a: business card, 40b: business registration certificate,
40c: receipt, 45: object image.

Claims (11)

A first step of obtaining image information about the object by a scanner unit scanning an object including at least a business card, a business registration certificate, a receipt;
a second step of extracting, by a first extracting unit, extracted information linked by comparing the image information with the company information received from the server;
a third step of obtaining classification information for each category by determining a category to which the character string of the extracted information belongs;
a fourth step of comparing and analyzing the classification information for each category and the company information by a comparative analysis unit to obtain object information and mismatched error object information;
a fifth step of obtaining object information by a correction unit correcting the character string of the erroneous object information with the company information; and
A sixth step of extracting, by a second extraction unit, additional information that does not match the classification information for each category from among the company information matching the classification information for each category in the fourth step;
The third step is
The category determining unit determines the category to which the character string of the extracted information belongs through the category solution to obtain the classification information for each category,
The category solution is
Classifying the string of the extracted information into one or more categories of company name, address, zip code, phone number, fax number, email, business location, and date of opening,
The fourth step is
The comparative analysis unit obtains the object information by comparing and analyzing the classification information for each category and the company information through one or more matching solutions,
The matching solution is
A character comparison-based matching solution for matching based on the string similarity between the classification information for each category and the company information, an address-based matching solution for matching addresses between the classification information for each category and the company information, and the classification information for each category and the company one or more of a zip code-based matching solution for matching zip codes between information;
The address-based matching solution is
If the address of the classification information for each category and the address expression format of the company information are different and cannot be compared with a character string, matching is performed using the coordinate location transformation of the map,
The object information obtained by the comparison analysis unit, the object information obtained by the correction unit, and the additional information obtained by the second extraction unit are transmitted to the terminal. The method of claim 1,
The first step is
Smart information input method, characterized in that the scanner unit scans the object using an OCR solution. The method of claim 2,
The image information is
Smart information input method, characterized in that the OCR information converted into an optical recognition string by the OCR solution. The method of claim 1,
The extracted information is
One of the company name, address, phone number, fax number, URL, email, postal code, postal address, representative name, business registration number, corporate registration number, opening date, and location of business that is a character string of the image information that matches the company information Smart information input method, characterized in that the above information. delete The method of claim 1,
The fourth step is
Company information for comparative analysis is received, collected, or provided from one of the server, memory, Internet, and mail in the second step, or is collectively received from one or a company of the server, the memory, the Internet, and the mail. , a smart information input method, characterized in that the company information stored in the database. delete The method of claim 1,
The additional information is
Company name, company type, company size, company status, existence of venture company, listing date, website, email, business number, phone number, zip code, zip code address number of full-time employees, product name, total assets, total capital, sales, operating profit, Company general information including net income, name, resident registration number, inauguration date, resignation date, current position, position, representative of the company including the representative of the same industry, the representative of the number of months in the same industry, and the year of service in the same industry first additional information; and
Addition of company including general information of the company, company representative information, company history, purpose business, affiliated companies, shareholder status, company tracking information including major facilities, construction performance, intellectual property rights, qualifications and licenses, and major customers Smart information input method comprising: information, corporate security information including comprehensive credit rating, and second additional information comprising corporate accounting information including financial account code, financial statement information, and consolidated financial statement information; . The method of claim 8,
The sixth step is
The smart information input method, characterized in that the second extraction unit extracts at least one of the first additional information and the second additional information. a scanner unit that scans an object including at least a business card, a business license, and a receipt to obtain image information about the object;
a first extraction unit for comparing the image information and the company information received from the server and extracting related extraction information;
a category determining unit for obtaining classification information for each category by determining a category to which the character string of the extracted information belongs;
a comparative analysis unit that compares and analyzes the classification information for each category and the company information to obtain object information and mismatched error object information;
a correction unit for obtaining object information by correcting the character string of the error object information with the company information; and
a second extraction unit for extracting additional information that does not match the classification information for each category from among the company information matching the classification information for each category from the comparison and analysis unit;
The category determining unit,
By determining the category to which the character string of the extracted information belongs through the category solution, the classification information for each category is obtained,
The category solution is
Classifying the string of the extracted information into one or more categories of company name, address, zip code, phone number, fax number, email, business location, and date of opening,
The comparative analysis unit,
Comparing and analyzing the classification information for each category and the company information through one or more matching solutions to obtain the object information,
The matching solution is
A character comparison-based matching solution for matching based on the string similarity between the classification information for each category and the company information, an address-based matching solution for matching addresses between the classification information for each category and the company information, and the classification information for each category and the company one or more of a zip code-based matching solution for matching zip codes between information;
The address-based matching solution is
If the address of the classification information for each category and the address expression format of the company information are different and cannot be compared with a character string, matching is performed using the coordinate location transformation of the map,
The object information obtained by the comparison and analysis unit, the object information obtained by the correction unit, and the additional information obtained by the second extraction unit are transmitted to the terminal. The method of claim 10,
a sensing unit for detecting a change in the state of the company based on the company information stored in the server; and
The smart information input system further comprising; a communication unit for transmitting the state change information detected by the sensing unit to the terminal.

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