JP2002304416A - Document management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a document management system allowing searching characters or figures (image data) by impressions when a person looks at text layouts or figures. SOLUTION: This system comprises an image data analyzing section 3 to set density level of an image for background, a document preserving section 2 to preserve the density level set at the section 3, a search condition input section 4 to search the image preserved in the section 2 following search condition input by the user, and a display section 5 to display the image searched at the section 4.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a document management system having a search function.

[0002]

2. Description of the Related Art A document management system generally includes a document (image) registration unit, a document storage unit (database), a search condition input unit, and a display unit.

When using such a document management system, a user first saves a document to be stored in a document storage unit via a document registration unit. By repeating this storage sequentially, many documents are stored in the document storage unit.

On the other hand, when searching for a desired document from the documents stored in the document storage unit, the user inputs search conditions to the search condition input unit. Then, the search condition input unit searches for a desired document based on the input search condition. The search results are displayed on the display.

[0005]

Various proposals have been made for the above-mentioned document management system. However, when searching for a character or a figure (image data), a person can search for a document layout or a figure by an impression of looking at the figure. Is required.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a document management system that enables a person to search for a character or a figure (image data) by an impression of looking at a document layout or a figure.

[0007]

According to one aspect of the present invention, there is provided an image data analyzing section for setting a density level of an image with respect to a background, and a density set by the image data analyzing section. A document storage unit for storing the level, a search condition input unit for searching for an image stored in the document storage unit in response to a search condition input from a user, and a display for displaying the image searched by the search condition input unit. And a unit.

According to a second aspect of the present invention, there is provided an image data analysis section for analyzing colors used in an image and the frequency of use thereof, a document storage section for storing an analysis result of the image data analysis section, In response to a search condition input, a search condition input unit for searching for an image stored in the document storage unit, and a display unit for displaying the image searched by the search condition input unit are provided. is there.

According to a third aspect of the present invention, there is provided an image data analyzing section for analyzing characters of image data, a frequency of use thereof, and a font of the characters, a document storing section for storing an analysis result of the image data analyzing section, A search condition input unit for receiving an image stored in the document storage unit in response to the input of the search condition, and a display unit for displaying the image searched by the search condition input unit. It is.

According to a fourth aspect of the present invention, there is provided an image data analyzing section which divides image data into several parts, and performs at least one image data analysis according to any one of the first to third aspects for each divided image data. A document storage unit for storing the analysis result of the analysis unit, a search condition input unit for receiving an input of a search condition from a user to search for an image stored in the document storage unit, and an image searched for by the search condition input unit And a display unit for displaying

According to the first aspect of the present invention, when a user has previously viewed the image (document), it is determined whether the image (document) is dense or sparse, that is, whether graphics or characters are packed in a page. Since a document can be searched based on the image of the document, search efficiency is improved.

According to the second aspect of the present invention, the user can search for a document based on an image of the document when the user has previously viewed the document, ie, how many colors are used. improves.

According to the third aspect of the present invention, the user can search for a document based on an image of the document when the user has previously viewed the document, which character is used. improves.

According to the fourth aspect of the present invention, the user has previously viewed the document indicating which part is dense, which part has many colors, and which part is a character. Since a document can be searched based on a current image, search efficiency is improved.

[0015]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a configuration diagram of a document management system according to an embodiment of the present invention. This document management system A
Is a document registration unit 1 and a document storage unit (database) 2
And an image (document; characters, figures, and patterns in the document) data analysis unit 3, a search condition input unit 4, and a display unit 5.

When using such a document management system, a user first saves a document to be stored in a document storage unit 2 via a document registration unit 1. The image data analysis unit 3 acquires and analyzes the image data stored in the document storage unit 2. The specific analysis contents will be described with reference to the following flowchart. After the analysis, it is stored in the document storage unit 2 as the analysis contents and the attributes of the document. By repeating this storage sequentially, a large number of documents are stored in the document storage unit 2.

On the other hand, when searching for a desired document from the documents stored in the document storage unit 2, the user inputs search conditions to the search condition input unit 4. Then, the search condition input unit 4 searches for a desired document based on the input search conditions. The search result is displayed on the display unit 5.

FIG. 2 is a flowchart showing a first example of the document search process. First, as preparation, a density level of an image (document) with respect to a background is set.
That is, the density level is set based on the percentage of the occupied area of the image with respect to the background. For example, 0
A density level of 0 to 20% is a density level 0, a density of 20 to 40% is a density level 1, and a density level of 40 to 60% is a density level 2 (S1).

Next, the image data analysis unit 3 calculates the percentage of the occupied area of the image with respect to the background (S2), sets a density level corresponding to the percentage, and stores (stores) it in the document storage unit 2 (S3). ).

The search condition input section 4 allows the user to input search conditions. For example, the density is input as level 1 (S4). Then, an image (document) meeting the conditions is searched from the stored document in the document storage unit 2 (S5). The display unit 5 displays a list of documents that hit the condition (S
6).

FIG. 3 is a flowchart showing a second example of the document search process. At the time of image data analysis, the image data analysis unit 3 obtains a color used in the image and an area in which the color is used (S1). Only the colors that have a certain ratio or more with respect to the area of the entire data are stored (stored) in the document storage unit 2 as the attributes of the image data (S2).

Next, the search condition input section 4 prompts the user to specify a frequently used color having an impression as a search condition (S3). For example, if you want to search for “images where red was mainly used”, specify “red” and hit an image whose red area value is greater than or equal to a certain value from the search target range in the document storage unit 2. (S4). The display unit 5 displays a list of documents that hit the condition (S5).

FIG. 4 is a flowchart showing a third example of the document search process. At the time of analyzing the image data, the image data analysis unit 3 extracts characters from the image, checks and stores the type and font of the characters one word at a time (S1). If the type and font are the same, the number of times of use is incremented. Then, the data is stored in the document storage unit 2 (S2).

The search condition input section 4 allows the user to input search conditions (S3). In actual search, it is possible to search only by character type or font type. That is,
If the user specifies, for example, "document that used" A "a lot" or "document that used Ming Dynasty", the number of times that "A" was used and the number of Ming Dynasty are used. A search is performed from the search target range in the storage unit 2, and a search for a value greater than a certain value is performed (S4). The display unit 5 displays a list of documents that hit the condition (S5).

FIG. 5 is a flowchart showing a fourth example of the document search process. As a preparation, a division pattern of image data and an area name after division are determined (S1). For example,
The upper left area is divided into four, and the upper left area name is A, and the upper right area is B.

The image data analysis unit 3 divides the image by a previously prepared division method (S2), analyzes the image data shown in the first to third examples for each divided area, and Then, the image data is stored in the document storage unit 2 as an attribute of the image data (S3).

The search condition input section 4 allows the user to input search conditions (S4). For example, an area A is designated as a dense document having many “red”. Then, an image matching the search condition is searched from the document in the document storage unit 2 (S
5). The display unit 5 displays a list of documents that hit the condition (S6).

[0028]

According to the first aspect of the present invention, the user can determine whether the image (document) is dense or sparse, that is, whether the image or document is a lot of figures or characters in the page. Since a document can be searched based on the image when viewing the document, the search efficiency is improved.

According to the second aspect of the present invention, since the user can search for a document based on an image of the document when the user has previously viewed the color, the user can search for the document. This has the effect of improving efficiency.

According to the third aspect of the present invention, the user can search for a document based on an image of the document when the document was previously viewed, which character is used. This has the effect of improving efficiency.

According to the fourth aspect of the present invention, the user can previously describe the document as to which part is dense, how many colors are in which part, and what character is used in which part. Since a document can be searched based on a viewed image, there is an effect that search efficiency is improved.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of a document management system according to an embodiment of the present invention.

FIG. 2 is a flowchart illustrating a first example of a document search process.

FIG. 3 is a flowchart illustrating a second example of a document search process.

FIG. 4 is a flowchart illustrating a third example of a document search process.

FIG. 5 is a flowchart illustrating a fourth example of the document search process.

[Explanation of symbols]

 1 Document registration section 2 Document storage section 3 Image data analysis section 4 Search condition input section 5 Display section

Claims (4)

[Claims] An image data analysis unit for setting a density level of an image with respect to a background; a document storage unit for storing a density level set by the image data analysis unit; A document management system comprising: a search condition input unit for searching for an image stored in a storage unit; and a display unit for displaying an image searched by the search condition input unit. 2. An image data analysis unit for analyzing colors used in an image and the frequency of use thereof, a document storage unit for storing analysis results of the image data analysis unit, and receiving a search condition input from a user, A document management system comprising: a search condition input unit for searching for an image stored in a document storage unit; and a display unit for displaying an image searched by the search condition input unit. 3. An image data analysis unit for analyzing characters of the image data, the frequency of use thereof, and the font of the characters, a document storage unit for storing analysis results of the image data analysis unit, and receiving a search condition input from a user. A document management system comprising: a search condition input unit that searches for an image stored in a document storage unit; and a display unit that displays the image searched by the search condition input unit. 4. The method according to claim 1, wherein the image data is divided into several parts.
An image data analysis unit for performing at least one image data analysis for each of the divided image data, a document storage unit for storing an analysis result of the image data analysis unit, and a document receiving a search condition input from a user. A document management system comprising: a search condition input unit for searching for an image stored in a storage unit; and a display unit for displaying an image searched by the search condition input unit.