KR20220005243A - Sharing and recognition method and device of handwritten scanned document - Google Patents

Abstract

A method for recognizing and sharing a handwritten scanned electronic file according to an embodiment of the present invention includes the steps of: acquiring the image of a document including handwriting recorded by a document author; recognizing at least one handwritten character from the acquired image; analyzing the structure of the document based on the recognized handwriting; distributing and storing the analyzed result as an attribute factor and an attribute-combined electronic document together with an image in a distributed storage server; extracting the attribute-combined electronic document from a distributed storage server based on a search request received from a document user and an attribute factor; and providing the extracted attribute combination electronic document to the document user.

Description

Method and device for recognizing and sharing handwritten scanned electronic files {SHARING AND RECOGNITION METHOD AND DEVICE OF HANDWRITTEN SCANNED DOCUMENT}

The present invention relates to a method and apparatus for recognizing and sharing a handwritten scanned electronic file, and more particularly, to an electronic document generated by recognizing letters, numbers, figures, etc. written by a document author by hand through an information device. It relates to a method and apparatus for recognizing and sharing handwritten scanned electronic files for sharing and re-editing by document users.

Conventional handwriting recognition technology and apparatus have problems in that the recognition rate of handwritten handwriting is low and inefficient because an algorithm for recognizing letters or each stroke constituting the handwritten handwriting is complex and unstable. In addition, when trying to scan and save or share a document written by hand, it is difficult to quickly and accurately find the composition of characters other than keywords and keywords entered by humans, and it is difficult to copy each character to another electronic document.

The present invention was devised to solve the above problems, and an object of the present invention is to provide a method for recognizing and sharing a handwritten scanned electronic file and an apparatus therefor.

A method for recognizing a handwritten scanned electronic file according to an embodiment of the present invention includes: acquiring an image of a document including handwritten characters recorded by a document author; recognizing at least one cursive character from the image; analyzing the structure and properties of the document based on the recognized handwriting; Distributing and storing the analyzed result as an attribute factor as an attribute-combined electronic document with an image in a distributed storage server; extracting the attribute binding electronic document from the distributed storage server based on the attribute factor and the search request received from the document user; and providing the extracted attribute combination electronic document to a document user.

According to an embodiment of the present invention, an apparatus for sharing an electronic document generated by recognizing handwritten handwriting includes an image obtaining unit for obtaining an image of a document including handwritten handwriting recorded by a document author; a character recognition unit for recognizing at least one handwritten character from the acquired image; a structure analysis unit analyzing the structure of a document based on the recognized handwriting, a distributed storage server in which the analyzed result is distributed and stored as an attribute-combined electronic document together with an image as an attribute factor; an attribute search unit for receiving a search request from a document user; an attribute binding electronic document extraction unit for extracting an attribute binding electronic document from a distributed storage server based on the received search request and attribute factor; and an output unit for providing the extracted attribute combination electronic document to a document user.

Using the method and the device for recognizing and sharing handwritten scanned electronic files according to an embodiment of the present invention, the document author converts various documents such as handwritten notes, data, and documents into electronic documents and stores them in a distributed storage server. Distributed storage or combining digital images with attribute factors can be stored in a distributed storage server as an attribute-combined electronic document. In addition, the document user can extract the attribute-combined electronic document by searching the distributed storage server for the handwritten scanned electronic file that he or she needs, and can edit and store the extracted attribute-coupled electronic document. Therefore, the document author can freely write and record regardless of media such as paper or tablet PC, and convert the document in which the handwritten handwriting is recorded into an attribute-coupled electronic document and store it in a distributed storage server, and such attribute-combined electronic document Attribute factors extracted and generated through cursive analysis may be added to , and an attribute-combined electronic document may be mutually shared between an author and a user. In other words, by using the attribute factor, not only the document author but also the document user can quickly and accurately search or edit the handwritten scanned electronic file, so that the attribute-combined electronic document can be shared.

1 is a diagram schematically illustrating a method of recognizing a handwritten scanned electronic file and sharing an electronic file between a document author and a document user according to an embodiment of the present invention.
2 is a flowchart illustrating a method of recognizing and sharing a handwritten scanned electronic file according to an embodiment of the present invention.
3 is a block diagram illustrating an apparatus for recognizing and sharing a handwritten scanned electronic file according to an embodiment of the present invention.
4 is a diagram illustrating a terminal on which a screen is displayed according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

In the entire specification, when a part "includes" a certain element, this means that other elements may be further included, rather than excluding other elements, unless otherwise stated. In addition, terms such as "...unit" and "module" recorded in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software. have. In addition, throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being connected "with another element in the middle".

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram schematically illustrating a method of recognizing a handwritten scanned electronic file and sharing an electronic file between a document author and a document user according to an embodiment of the present invention.

Referring to FIG. 1 , in order to share a handwritten scanned electronic file, a document author may digitally image handwritten notes, data, and data. For example, the writing document A of FIG. 1 may be a note written by the document author or may be a document, data, material, etc., in which handwritten handwriting that the document author desires to be digitally imaged is recorded.

For example, the document author may obtain a digital image of the document including the handwritten handwriting by using a device capable of digitalizing the written document A on which the handwritten handwriting is recorded, such as a scanner or a camera.

Next, the document author may use a cursive or handwriting recognition device to recognize at least one handwritten handwriting in the acquired digital image. For example, a preprocessing process in which outlines or skeleton lines are extracted from a digital image and correction, binarization and thinning processes are performed through the handwriting recognition device according to an embodiment of the present invention, feature point extraction and extraction Basic figures and complex figures are extracted based on the feature points, grapheme is generated, a main processing process in which a consonant or vowel corresponding to the generated grapheme is determined, and a post processing process in which the determined consonants and vowels are combined. At least one handwritten handwriting may be recognized.

Next, in order to generate and combine attribute factors with respect to the electronic document in which at least one handwritten character is recognized, the structure analysis and attributes of the document may be detected. That is, the process of analyzing the structure of the document and detecting the attributes may be a process of confirming the coordinates of characters, figures, formulas, keywords, positions, sizes, etc. in the document in which the handwritten handwriting is recognized. For example, in a document in which a handwritten handwriting is recognized, coordinates such as text, figure, formula, keyword, location, size, etc. are checked for document structure analysis and property detection, a corresponding property factor is generated, and handwritten handwriting is identified. may combine or combine the recognized document image and the corresponding attribute factor and store it.

Next, the author of the document may upload the writing document A recognized by hand, that is, the writing document A digitally imaged and recognized as letters to the distributed storage server.

The authoring document A uploaded to the distributed storage server may be configured to include a digital image in which the handwritten handwriting is recognized and the property factors generated after structural analysis and property detection, and accordingly, the authoring document A stored in the distributed storage server is combined It may be classified or searched based on the attribute factor. That is, by using the combined attribute factor, the written document A in which the handwritten handwriting is recognized can be combined and stored as an attribute factor by interworking with the attribute information DB according to each search word, main word, and keyword. The process of combining and classifying attribute factors as described above may be performed in the distributed storage server, but the document author himself/herself directly It is also possible to select from the attribute information DB and store it by combining the author document A and the attribute factor.

Referring to FIG. 1 , in order to search for a handwritten document, a document user may request a search with a search word related to an attribute factor of an attribute information DB in the distributed storage server. Here, the written document A in which the handwritten handwriting is recognized may be referred to as an attribute-coupled electronic document A in a stored state in combination with the attribute factor. That is, the attribute-combined electronic document refers to the form of a file including an attribute factor in which a digital image and various information are combined.

In addition, the document user can edit the extracted attribute-combined electronic document according to his or her needs and store or upload it to the distributed storage server. For example, the document user can additionally input and store new information with a digital device, such as a cursive or word processor, directly to the extracted attribute-combined electronic document A, and the attribute-combined electronic document A is based on the added new information. Relevant attribute factors may be newly combined and stored in the distributed storage server as attribute-combined electronic document A'.

2 is a flowchart illustrating a method of sharing a handwritten scanned electronic file according to an embodiment of the present invention.

A method of sharing a handwritten scanned electronic file according to an embodiment of the present invention includes: obtaining an image of a document including handwritten handwriting recorded by a document author (S110); Recognizing a single handwritten character (S120), analyzing the structure of the document based on the recognized handwriting (S130), and distributing and storing the analyzed result in a distributed storage server together with an image as an attribute factor ( S140), extracting the attribute binding electronic document from the distributed storage server based on the search request and the attribute factor received from the document user (S150) and providing the extracted attribute binding electronic document to the document user (S160) can do.

First, in order to share the handwritten scanned electronic file, the document author may obtain an image of the document including the handwritten handwriting in step S110. For example, the acquired image may be a digital image file of a document acquired in real time by directly photographing a document including handwritten handwriting with a camera or scanning it through a scanner. Also, it may be an image file already stored in an external device (eg, an Internet server, etc.) that can be connected by wire or wirelessly.

Next, in step S120, the document author may recognize at least one handwritten character from an image acquired through a handwriting recognition device or a handwriting recognition device.

The step of recognizing at least one handwritten character from the acquired image according to an embodiment of the present invention includes performing correction, binarization and thinning processes on the acquired image, and extracting feature points from the performed image. Extracting basic figures and complex figures by separating or combining strokes from handwriting based on the extracted feature points, generating grapheme, determining consonants or vowels corresponding to the generated grapheme, and combining the determined consonants or vowels to at least one It may include the step of estimating the handwritten character of the.

For example, a method for recognizing handwritten handwriting may include preprocessing, a main processing process for feature extraction and matching, post-processing, and the like.

The pre-processing process is to re-express as a meaningful pattern in order to extract features from characters, and to recognize the handwritten handwriting, the pre-processing process may include extracting an outline or a skeleton line while acquiring an image. That is, in order to prevent noise and distortion of characters in the image, correction, binarization, and thinning processes may be performed on the acquired image.

In the main processing process, the separation and combination of strokes using the intersection point, tip point, and centerline technique are performed in the recognized cursive image, and it is decomposed into a basic figure by the bending point, and consonants and vowels can be extracted using grapheme automata. Therefore, by extracting key points from the image performed in the pre-processing process and separating or combining strokes from handwriting based on the extracted key points, basic figures and complex figures are extracted and grapheme is generated, and consonants or vowels corresponding to the generated grapheme may include the step of determining

Next, the Hangul code is extracted from the extracted consonants and vowels by using the Hangul automata, and the post-processing process may include estimating at least one handwritten character by combining the determined consonants or vowels.

According to an embodiment of the present invention, the handwriting recognition apparatus includes an input unit for obtaining an image of handwritten handwriting, a preprocessing unit for correcting, binarizing, and thinning the obtained image, and extracting feature points from the preprocessed image, and a stroke It may include an analysis processing unit that extracts basic and complex shapes by separating or combining , and an analysis processing unit that generates grapheme, and a post-processing unit that converts the processed image into Hangul codes and recognizes them as characters.

In step S130, the structure of the document may be analyzed based on the recognized handwriting. That is, by recognizing at least one handwritten character from the acquired image, it is possible to recognize characters and numbers, pictures, and figures in the document, and analyze the document structure according to the identified characters and figures.

According to an embodiment of the present invention, the step of analyzing the structure of a document based on the recognized handwriting includes form information such as letters, numbers, figures, and formulas included in the document, and attribute information such as size, position, color, etc. It may include obtaining information on at least one of the number of appearances and the representative keyword.

Also, the position of the character, figure, or formula may be determined based on the reference point of the document. For example, the reference point may refer to a pixel at the top or bottom of the left or right side of the imaged document, or the like. The size may be relatively determined based on the above-described position value, and the number of appearances may be determined by accumulating the frequency of appearance of recognized characters, figures, or formulas. In addition, words, figures, or formulas that frequently appear in documents or have higher-level concepts encompassing respective meanings may be identified as representative keywords. In addition, color information of a character, a figure, or a formula may be recognized based on the pixel value.

In step S140, the document author may distribute and store the analyzed result together with the image as an attribute factor in a distributed storage server. That is, the structure of the document in which the handwritten handwriting is recognized is analyzed with the recognized characters, figures, and formulas, and the analyzed result is extracted as a property factor of the property information DB, and a distributed storage server together with the document image in which the handwritten handwriting is recognized can be stored in

In addition, the document image in which the handwritten handwriting is recognized may be stored by combining the attribute factor by the document author, and after the document in which the handwritten handwriting is recognized is uploaded to the distributed storage server as an image, it may be stored in combination with the attribute factor. have.

According to an embodiment of the present invention, the attribute factor may include information on at least one of shape information such as letters, numbers, figures, and formulas, attribute information such as size, location, and color, the number of appearances, and representative keywords. For example, since the attribute factor is classified as a search word as a result of analysis of a document, at least one of characters, figures or formulas, size, and position included in a document required to analyze the document may be used as the attribute factor.

In step S150, the attribute binding electronic document may be extracted from the distributed storage server based on the attribute factor and the search request received from the document user. That is, the document user may make a search request to the distributed storage server with a search term related to the attribute factor in order to search for a cursive document including necessary information, and as a result, the attribute-binding electronic document may be extracted from the distributed storage server. As described above, the attribute combination electronic document may be in the form of a document in which the handwritten handwriting is recognized and an attribute factor, and may be in the form of an attribute factor in which an image in which the handwritten handwriting is recognized and various information are combined.

According to an embodiment of the present invention, at least one of the text, title, and keywords included in the attribute-combined electronic document stored in the distributed storage server is retrieved based on the attribute factor including the search term input from the document user and the search term-related information. and extracting the matching attribute combination electronic document.

In addition, since the search term can use attribute factors such as characters, figures, formulas, size, and position used to analyze the document structure, even if the search term is not included in the body, title, or keyword, the If it is related to attribute factors such as text, formula, figure, color, etc., it is possible to extract an attribute-combined electronic document matching the same.

In step S160, the retrieved and extracted attribute combination electronic document may be provided to the document user.

According to an embodiment of the present invention, the method may further include editing the extracted attribute-combined electronic document based on the editing signal received from the document user and storing the edited attribute-combined electronic document in a distributed storage server. .

That is, the document user can edit, process, and store the extracted attribute-combined electronic document according to his or her needs. For example, after a document user searches for and extracts an attribute-combined electronic document, the document user can modify and edit the attribute-combined electronic document with a digital device such as a cursive or word processor, and store it again in a distributed storage server for sharing with other users. can be uploaded The edit signal may include a command for adding, deleting, or changing at least one of characters, figures, and equations included in the document. In addition, the attribute-combined electronic document edited or edited by the document user may be manually stored according to a decision of the document user or automatically stored according to a predetermined time interval.

In addition, the image or attribute combination electronic document to be provided to the document user may be an editable image (or attribute combination electronic document) or an image (or attribute combination electronic document) preset to be impossible to edit. In other words, the document author may preset the image or attribute combination electronic document to be shared with others so that editing is possible or impossible. The document author may bind an encrypted code to the document to prevent unauthorized editing of the document. This encrypted code can be given in the step of storing the image in a distributed storage server or in the step of being electronically documented in combination with an attribute in the distributed storage server. If the image (or attribute-combined electronic document) of the document is editable, the document user will be able to freely edit the provided image (or attribute-combined electronic document). If set, the document user must separately receive encrypted code information for document editing from the document author.

3 is a block diagram illustrating an apparatus 1000 for recognizing and sharing a handwritten scanned electronic file according to an embodiment of the present invention.

An apparatus 1000 for recognizing and sharing a handwritten scanned electronic file according to an embodiment of the present invention is an image acquisition unit 100 for obtaining an image for a document including handwritten handwriting recorded by a document author. , a character recognition unit 200 for recognizing at least one handwritten character from the acquired image, a structure analysis unit 300 for analyzing the structure of a document based on the recognized handwriting, and the analyzed result is an image as an attribute factor The distributed storage server 400 stored together with the attribute search unit 500 for receiving a search request from a document user, and an attribute for extracting the attribute binding electronic document from the distributed storage server based on the received search request and attribute factor It may include a combined electronic document extraction unit 600 and an output unit 700 for providing the extracted attribute combined electronic document to a document user.

The image acquisition unit 100 is for acquiring an image of a document including the handwritten handwriting, and may obtain an image from a camera capable of directly photographing a document including the handwritten handwriting, a scanner capable of scanning, or a document. It may include a variety of digital devices.

The character recognition unit 200 is for recognizing at least one character in an image obtained through the image acquisition unit 100 , and may include a character recognition device.

For example, the character recognition unit 200 performs correction, binarization, and thinning processes on the obtained image, extracts feature points from the performed image, and separates or combines strokes from handwriting based on the extracted feature points. Includes a handwriting recognition device capable of extracting basic figures and complex figures and generating grapheme, determining consonants or vowels corresponding to the generated grapheme, and estimating at least one handwritten character by combining the determined consonants or vowels can do.

The structure analysis unit 300 is for analyzing a document using the recognized handwritten handwriting, and includes a character analysis unit that analyzes characters in a document, a number and symbol analysis unit that can analyze numbers and symbols, and characters in a document. It may include a location analyzer capable of determining the location, size, etc. of the , and may include all devices for analyzing a document.

The distributed storage server 400 analyzes and grasps the document in which the handwritten handwriting is recognized as representative keywords such as recognized characters, figures or formulas, or the position and size of documents, formulas, figures, etc., and recognizes the handwritten handwriting. Resource management data that stores various data resources such as information device programs and data, i.e., attribute-combined electronic document, and the relationship between resources, as a place where the image is combined with various attribute factors and stored as an attribute-combined electronic document. It may include a base.

The attribute search unit 500 receives a search request of a document user so that the document user searches for an attribute-combined electronic document, and may receive an attribute input for accessing the distributed storage server. For example, the property search unit may include a communication device for receiving an external input, and may include a digital input device connected to the Internet, that is, a user input interface connected to a distributed storage server by wire or wirelessly.

The attribute-combined electronic document extraction unit 600 is a device capable of extracting an attribute-combined electronic document from a distributed storage server according to a search request of a document user, and compares the search word by the document user's search request with the attribute factor. Matching attribute combination electronic document can be extracted. That is, the attribute-combined electronic document extraction unit 600 compares and matches the search word with the attribute factor to extract the attribute-combined electronic document, a device equipped with a processor (eg, computer, notebook, smartphone, laptop, etc.) , or a similar device.

The output unit 700 is a device that can serve to provide the extracted attribute-combined electronic document to document users, and is connected to a distributed storage server by wire or wirelessly, and the attribute-combined electronic document extracted by the attribute-combined electronic document extraction unit 600 Documents can be provided to document users. For example, the output unit 700 may include an information device (eg, a notebook computer, a smart phone, a smart TV, etc.) capable of providing an attribute-combined electronic document to a document user.

According to an embodiment of the present invention, an apparatus for sharing an electronic document generated by recognizing a handwritten handwriting is an attribute combining electronic document editing unit for editing an attribute combining electronic document extracted based on an editing signal received from a document user may further include.

The present invention may include a cutting unit, a first transfer and a second transfer, and a combine unit.

The cutting unit may generate a plurality of pieces by dividing the data, and may assign an address to each of the pieces. Here, the addresses of the pieces may be composed of a combination of a plurality of letters and numbers.

Also, the cutting unit may generate a combination rule in consideration of each address. Here, the combination rule refers to a rule that allows a plurality of data pieces to be combined into data before being divided based on each address.

The first transfer may transmit a plurality of data pieces in an arbitrary order. Here, a plurality of data pieces may be transmitted together with an assigned address, respectively.

The second transfer may transmit a combination rule corresponding to the plurality of data pieces transmitted by the first transfer. Here, it may be preferable that the second transfer transmits the combination rule with a time difference with respect to the transmission of the plurality of data pieces by the first transfer.

The functional operations described in this specification and the embodiments related to the present subject matter can be implemented in a digital electronic circuit, computer software, firmware, or hardware, including the structures disclosed herein and structural equivalents thereof, or in a combination of one or more thereof do.

Embodiments of the subject matter described herein are one or more computer program products, ie, one or more modules directed to computer program instructions encoded on a tangible program medium for execution by or for controlling the operation of a data processing apparatus. can be implemented. A tangible program medium may be a radio wave signal or a computer-readable medium. A radio wave signal is an artificially generated signal, eg a machine-generated electrical, optical or electromagnetic signal, that is generated to encode information for transmission to an appropriate receiver device for execution by a computer. The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a combination of materials that affect a machine-readable radio wave signal, or a combination of one or more of these.

A computer program (also known as a program, software, software application, script or code) may be written in any form of any programming language, including compiled or interpreted language or a priori or procedural language, and may be written as a stand-alone program or module; It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment.

A computer program does not necessarily correspond to a file in a file system. A program may be in a single file provided to the requested program, or in multiple interacting files (eg, files that store one or more modules, subprograms, or portions of code), or portions of files that hold other programs or data. (eg, one or more scripts stored within a markup language document).

The computer program may be deployed to be executed on one computer or multiple computers located at one site or distributed over a plurality of sites and interconnected by a communication network.

Additionally, the logic flows and structural block diagrams described herein describe corresponding acts and/or specific methods supported by corresponding functions and steps supported by the disclosed structural means, and corresponding software. It can also be used to build structures and algorithms and their equivalents.

The processes and logic flows described herein may be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.

Processors suitable for the execution of computer programs include, for example, both general and special purpose microprocessors and any one or more processors of any kind of digital computer. Typically, the processor will receive instructions and data from read-only memory, random access memory, or both.

A key element of a computer is one or more memory devices for storing instructions and data and a processor for executing instructions. In addition, a computer is generally operably coupled to receive data from, transmit data to, or both of one or more mass storage devices for storing data, such as, for example, magnetic, magneto-optical disks or optical disks. or will include However, the computer need not have such a device.

The present description sets forth the best mode of the invention, and provides examples to illustrate the invention, and to enable any person skilled in the art to make or use the invention. The specification thus prepared does not limit the present invention to the specific terms presented.

Accordingly, although the present invention has been described in detail with reference to the above-described examples, those skilled in the art can make modifications, changes, and modifications to the examples without departing from the scope of the present invention. In short, in order to achieve the intended effect of the present invention, it is not necessary to separately include all the functional blocks shown in the drawings or follow all the orders shown in the drawings. indicate that it may be within the scope

Claims (9)

A method for recognizing and sharing a handwritten scanned electronic file, the method comprising:
acquiring an image of a document including handwritten handwriting recorded by a document author;
recognizing at least one handwritten character from the acquired image;
analyzing the structure of the document based on the recognized handwriting and extracting attributes;
Distributing and storing the analyzed result as an attribute factor as an attribute binding electronic document together with the image in a distributed storage server;
extracting the attribute-combined electronic document from the distributed storage server based on the attribute factor and the search request received from the document user;
editing the extracted attribute-combined electronic document by the document user; and
and providing the extracted attribute-combined electronic document to the document user. The method of claim 1,
Analyzing the structure of the document based on the recognized handwriting includes:
Handwriting comprising the step of acquiring information on at least one of shape information such as letters, numbers, figures, and formulas included in the document, attribute information such as size, location and color, number of appearances, and representative keywords included in the document How to recognize and share scanned electronic files created with 3. The method of claim 2,
The handwritten scan copy, characterized in that the attribute factor includes information on at least one of shape information such as letters, numbers, figures, and formulas, attribute information such as size, position, and color, number of appearances, and representative keywords How to recognize and share electronic files. 3. The method of claim 2,
The step of extracting the attribute combination electronic document,
Based on the search word received from the document user and the attribute factor including the search word related information, at least one of the text, title, and keyword included in the attribute binding electronic document stored in the distributed storage server is searched and matched. A method for recognizing and sharing a handwritten scanned electronic file, comprising the step of extracting the document. The method of claim 1,
Recognizing at least one handwritten character from the acquired image comprises:
A basic figure and a complex figure are obtained by performing correction, binarization and thinning processes on the obtained image, extracting feature points from the image on which the process is performed, and separating or combining strokes from the handwriting based on the extracted feature points extracting, generating a grapheme, and determining a consonant or vowel corresponding to the generated grapheme; and
and estimating at least one handwritten character by combining the determined consonants or vowels. The method of claim 1,
editing the extracted attribute-combined electronic document based on the editing signal received from the document user; and
The method of recognizing and sharing a handwritten scanned electronic file, characterized in that it further comprises the step of storing the edited attribute-combined electronic document in the distributed storage server. 7. The method of claim 6,
The edit signal is a signal for adding, deleting, or changing at least one of characters, figures, and formulas included in the document, and the edited attribute-combined electronic document is manually stored according to the decision of the document user or is stored for a predetermined time. A method for recognizing and sharing handwritten scanned electronic files, characterized in that they are automatically saved at intervals. In an apparatus for sharing an electronic document generated by recognizing handwritten handwriting,
an image acquisition unit for acquiring an image of a document including handwritten handwriting recorded by a document author;
a character recognition unit for recognizing at least one handwritten character from the acquired image;
a structure analysis unit that analyzes the structure of the document based on the recognized handwriting;
a distributed storage server in which the analyzed result is distributed and stored as an attribute binding electronic document together with the image as an attribute factor;
an attribute search unit for receiving a search request from a document user;
an attribute-combined electronic document extraction unit for extracting the attribute-combined electronic document from the distributed storage server based on the received search request and the attribute factor; and
and an output unit for providing the extracted attribute-combined electronic document to the document user. 9. The method of claim 8,
The apparatus for recognizing and sharing a handwritten scanned electronic file, characterized in that it further comprises an attribute combining electronic document editing unit for editing the extracted attribute combining electronic document based on the editing signal received from the document user.

Images