TWI659320B - Method for creating and indexing document image file having indexed content - Google Patents

Abstract

The invention proposes a method for establishing a content indexable document image file, which is applicable to multiple rosters, each of which contains multiple pages, and at least one page contains multiple characteristic data. The method includes: forming a first bar code on the first page of each roster, the first bar code containing identification information of the roster where it is located; forming a second bar code on each page of each roster, and a second bar code containing pages of the pages of the roster where it is located Secondary information, and the total number of pieces of information that contain the characteristic data of the pages of the roster; create a sequential file that contains the plural characteristic data of each roster, and these characteristic data are in accordance with the order in which they appear in the roster And record sequentially; and scan all the lists to form document image files.

Description

Method for establishing content indexable document image file and its indexing method

This case is about a method for establishing an indexable document image file and its indexing method.

When the roster data recording personal information and the content corresponding to the personal information is updated from time to time, once the time is long, it will become very troublesome to finally find out all the data content of the personal information at the same time, that is, It is often necessary to look through the image of the roster and manually search for whether the information appears in each roster.

For example, when an enterprise or government agency continues to establish multiple rosters for a certain purpose, in the first year of establishment, a total of 10 rosters were established, which are rosters A1 to A10, of which page 6 of rosters A1 records There is information on Person X. In the second year of the establishment, 10 additional rosters were added, which are rosters A11 to A20, of which the information on Person X is recorded on page 15 of the rosters A16. In the third year of the establishment, 10 additional rosteres were added, which are Rosters A21 to A30, of which page 7 of Roster A28 recorded the information of Person X. Suppose that at this time, for all specific information, it is necessary to call up all the data of Person X in the past three years, then you must manually search through the lists A1 to A30 page by page to find out all the data related to Person X in these three years.

It is inherited that if there are image files on the roster A1 to A30, the optical image recognition technology can naturally be used to find the part where the person X appears on all pages of the roster A1 to A30. Minutes, and then take it out. However, the image recognition technology is very time-consuming and requires huge computing resources. Once the number of copies of the roster accumulates more and more over time, each search will take a great deal of time and computer computing resources.

In the patent of the Republic of China No. TW490644, a "method for converting paper documents into electronic files" is described. When scanning a paper document into an electronic file, if the number of pages of each paper document is different, The first or last page is affixed with a barcode, so that when the images of all documents are subsequently merged, the starting position of individual documents can be easily identified through the barcode. However, the patent only states that when multiple documents are combined into a single file through scanning, the starting position of each document can be identified through a barcode. The patent does not establish an association between the "document specific content" and the "page number" where the specific content of the document is located, so that the data searcher can quickly search the roster of hundreds of copies without using optical image recognition technology. Find out the roster and the number of pages that contain the specific content of the file, and then quickly retrieve all the materials that contain the specific content of the file.

An embodiment of the present invention provides a method for establishing a content indexable document image file, which includes: establishing a plurality of lists, each of which contains a plurality of pages, and at least one page contains a plurality of characteristic data. A first bar code is formed on the first page of each roster, and the first bar code contains identification information of the roster in which it is located. A second bar code is formed on each page of each roster. The second bar code contains the page number of the page on which the roster is located, and one of the characteristic data of the page on which the roster is located. A sequential file is established, and the sequential file contains the plural characteristic data of each roster, and the characteristic data is recorded in order according to the order in which it appears in the roster. Scan the roster to form a document image file.

In one embodiment of the present invention, the above-mentioned content indexable document image file is constructed. The establishment method further includes forming a third bar code on the first page of each roster, and the third bar code contains the category information of the corresponding roster.

In an embodiment of the present invention, the method further includes: establishing an index file, and the index file includes an index value.

In one embodiment of the present invention, the feature data described in the method for establishing a content indexable document image file is selected from its own subnet number, name, or account number.

Another embodiment of the present invention is a content indexing method for a document image file, which is applicable to the document image file created by the foregoing method. The content indexing method for a document image file includes: receiving a query keyword, the query keyword being selected from one of the above-mentioned characteristic data; and searching for an index keyword in the index file to determine a roster that matches the query keyword Page.

In an embodiment of the present invention, the content indexing method of the document image file further includes: determining, according to the category information of the third bar code, a page that matches the directory where the query keyword is located.

In an embodiment of the present invention, the content indexing method of the document image file further includes: determining, according to the identification information of the first barcode, a page that matches the directory where the query keyword is located.

101‧‧‧The first bar code

102‧‧‧The second bar code

103‧‧‧ The third bar code

109a-109k‧‧‧Characteristics

S11-S15‧‧‧step

P01-P02‧‧‧step

[FIG. 1] A method flowchart of a first embodiment of a method for creating a content indexable document image file according to the present invention.

[Figure 2] A schematic diagram of the first page of the first roster to which the present invention is applied.

[Figure 3] A schematic diagram of the inner pages of the first roster to which the present invention is applied.

[Fig. 4] A schematic diagram of the first page of the second roster to which the present invention is applied.

[Fig. 5] A schematic diagram of an inner page of a second roster to which the present invention is applied.

6 is a schematic diagram of a sequential file of the present invention.

[FIG. 7] A method flowchart of an embodiment of a content indexing method of a document image file according to the present invention.

Please refer to FIG. 1, which is a method flowchart of an embodiment of a method for establishing an indexable document image file according to the present invention, and describes an implementation method of the embodiment. The roster of this embodiment is usually generated through a computer system. Please also refer to FIG. 2 to FIG. 5, which are schematic diagrams of the first page of the first roster, the inner pages of the first roster, the first page of the second roster, and the inner pages of the second roster, respectively. For the convenience of explanation, the content indexable document image file created in this embodiment is assumed to be composed of two rosters. In practice, the document image file can be composed of multiple rosters, and the number of rosters included Many, can better highlight the advantages of the present invention. In addition, for the convenience of explanation, it is also assumed here that the total number of pages of the first roster is 20 pages, and the total number of pages of the second roster is 10 pages. Characteristic information, only the first and eighth pages of the second roster contain characteristic information. The characteristic data referred to in this embodiment may be, but is not limited to, an ID card name, name, account number, or a combination thereof.

In order to make the content of the document image file indexable, when the roster is created in this embodiment, a first bar code 101 is formed on the first page of each roster. The first bar code 101 contains identification information of the roster in which it is located. The key value of the roster and identifying the starting position of individual documents. As shown in FIG. 2, the key value of the first register can be obtained by reading the first bar code 101 on the first page of the first register. Similarly, as shown in Figure 4 As shown, the key value of the second roster can be obtained by reading the first bar code 101 on the first page of the second roster. In other embodiments, by identifying the value represented by the first bar code 101, correspondingly, key values such as the application organization, application year, and month are obtained from a database as identification information, and the starting position of individual documents is identified.

As shown in FIG. 2, the first bar code 101 is formed at the upper right of the entire first page of the first roster. As shown in FIG. 4 again, the first bar code 101 is also formed at the upper right of the entire first page of the second roster. The formation position of the first bar code 101 does not have to be at the upper right of the entire first page of the roster, but may be formed anywhere on the first page of the roster as the case may be. However, in principle, in the same document image file, the first bar code 101 of each roster will be formed at the same position to facilitate the program to print the bar code.

In addition to forming the first bar code 101, a second bar code 102 must also be formed on each page of each roster. The second bar code 102 contains page information and characteristic information of the pages of the roster. A document image file can be obtained by scanning all pages of the aforementioned two lists through a scanning device. As shown in Figure 2, the first page of the first roster contains 5 pieces of characteristic information 109a, 109b, 109c, 109d, and 109e. When performing image processing, the second bar code 102 on page 1 of the first roster is read. , You can know that page 1 of the first roster has 5 characteristics. As shown in Figure 3, page 6 of the first roster contains characteristic information 109f, 109g, 109a, 109h, 109i, 109j, and 109k. You can find out by reading the second bar code 102 on page 6 of the first roster. Page 6 of the first roster contains 7 characteristics. As shown in Figures 4 and 5, by reading the second bar code 102 on pages 1 and 8 of the second roster, we can know that the first page of the second roster has two characteristic data, namely 109b and 109c. , Page 8 has 3 characteristic data, namely 109i, 109j and 109a. For other pages, because the number of feature data of the second barcode 102 is 0, you can get It does not contain characteristic data.

As shown in FIG. 2 and FIG. 3, the second bar code 102 of the first register is formed at the lower right of the entire page. As shown in FIG. 4 and FIG. 5, the second bar code 102 of the second register is also formed at the lower right of the entire page. The formation position of the second barcode 102 is not necessarily at the lower right of the entire pages of the roster, but may be formed at any position of each page as the case may be. However, in principle, in the same document image file, the second bar code 102 of each roster will be formed at the same position to facilitate the program to print the bar code.

Please refer to FIG. 6, which is a schematic diagram of a sequential file of the present invention. In the first embodiment, in addition to forming the first bar code 101 and the second bar code 102 in each roster, a sequential file is simultaneously created when the computer system produces the roster; the sequential file contains all the characteristic data of each roster, and these features The data are "recorded in order according to the order in which they appear in each roster." Create an index file containing the index values of the key value of the roster, the category of the roster, and the characteristic data in the roster. The index value is formed by first obtaining the image file of the roster, and then sequentially processing each page of the roster to obtain the first barcode 101 data of each page. After obtaining the information of the first bar code 101, the first page is judged. If the first bar code 101 on this page is different from the previous page, it means that the document is different from the previous page, and this page should be judged as the first page of another document. , And establish a roster index value based on the identification information of the first barcode of the document and the document attribute data of the third barcode. When the attribute of the file is a roster type, the corresponding sequential file of the roster is obtained according to the first bar code, and the reading index of the sequential file is set to the first stroke. Then read the second bar code 102, according to the page information and feature data number information of the second bar code, read the feature data of the number from the sequential file, and establish the relationship between the feature data and the image file and page number, and form Content index value of a book image.

When a document image file is created through the above embodiments, the image file can be read by The second bar code information and roster file are in order to establish the correlation between each feature data and the image file and roster page number. Through the index file created by the correlation, the content of the document image file can be indexed. The method is detailed below.

For example, when scanning a whole batch of documents, the first barcode 101 can easily identify the start position of an individual document and the end position of the previous document, and establish key values for the individual document according to the roster identification information, such as Select the application organization and the application year and month as its key value, and the third barcode 103 can provide the document attribute, for example, it is a class A register. After obtaining the identification information and document attributes of an individual document, you can determine whether the document should establish an index of feature information. If you need to create a sequential file corresponding to the roster according to the information of the first barcode 101, and then use the number of pages and feature data of the second barcode 102 to match the sequential file, create page-by-page feature information. The index value. The creation of the index file is shown in FIG. 6. According to the query keyword 109a, the first, eighth, and 17th strokes of the sequential file appear. During image processing, as long as the second bar code 102 of the document image file is read to obtain the page number of the page and the total number of characteristic data, and then combined with the characteristic data of the sequential file, the key word 109a can be easily established, Index values of the roster and pages where 1 feature data, 8th feature data and 17th feature data are located. The following further describes in detail how to determine the page on which the first feature data, the eighth feature data, and the seventeenth feature data are located through the sequence value, the first bar code, and the second bar code.

In this embodiment, the first barcode 101 and the second barcode 102 on the first page of the first register of the document image file are read by the program, so as to know that the sequential file corresponding to the first register and the first page have 5 strokes Characteristic data; after obtaining the sequential file, set the sequential file reading index at the first stroke.

Then, according to the second bar code 102 on the first page of the first roster, it is known that this page is the first page and contains 5 pieces of characteristic data, so after processing the first page of image data, read them in order. Sequential files of 109a, 109b, 109c, 109d, and 109e were obtained. The five characteristics were A0000000000, B0000000000, C0000000000, D0000000000, and E0000000000. The five characteristics were the first page of the first register. 5 characteristic data, you can associate the 5 characteristic data with page 1 of the first roster. In this embodiment, after reading page 1 of the first roster, then read the second bar code 102 on pages 2 to 5 of the first roster, because page 2 of the first roster Page 5 does not contain any feature data, so far only 5 feature data have been accumulated. Until the second bar code 102 on page 6 of the first roster is read, as shown in FIG. 3, at this time, the page number 6 will be obtained, which contains a total of 7 pieces of characteristic information. From the sixth file of the sequential file, 7 data are read successively, and the characteristic data F0000000000 ~ K0000000000 corresponding to 109f ~ 109k are obtained. These 7 characteristic data correspond to 7 characteristic data on page 6 of the first roster.

Then read the second bar code 102 on pages 7 to 20 of the first roster in order. Since pages 7 to 20 of the first roster do not contain any characteristic information, the first copy has been read The number of characteristic data accumulated after the roster is 12 and the 12 data have been associated with the pages of the first roster and its images.

Then read the next page of the file. From the first bar code 101 and the third bar code 103 on the next page, we can see that this is the beginning of another file, the second roster file, and the second bar code from this page. 102. It is learned that this page is the first page containing 2 pieces of characteristic information. After reading the first page of the second roster, obtain the corresponding sequential files based on the information of the first bar code 101, obtain the contents of the first two features, and create the two records and the first page of the second roster And its images.

Then read the second bar code 102 on pages 2 to 7 of the second roster in order. Since pages 2 to 7 of the second roster do not contain any characteristic information, the second bar The cumulative number of characteristic data read after the seventh page of the register is two.

Then read the second bar code 102 on the eighth page of the second roster. At this time, the eighth page contains the information of the three characteristic data. At this time, the accumulated number of characteristic data is five. It is known that the characteristic data on page 8 of the second roster will also be extracted from the third to fifth data of the sequential file and associated with the images on the page.

Through the above embodiment, an index value can be created for a document image file composed of multiple rosters. When a person wants to view a page where a certain characteristic data exists, as long as the query key value is provided, the query key value must be a feature One of the materials. Through the index file of the characteristic data created by the imaging process, the page of the target document can be easily retrieved.

Please refer to FIG. 2 and FIG. 4 again. The first page of the first roster and the first page of the second roster can also form a third bar code 103, and the third bar code 103 contains the category information of the roster in which it is located. For example, the first roster is the main document, and the second roster is an attachment to the main document. You can learn that the first roster is the main document by reading the third bar code 103 on the first page of the first roster. Reading the third bar code 103 on the first page of the second ranking will reveal that the second list is an attachment.

By forming the third bar code 103, the function of access can be made more diverse. For example, if a sequential file is created based on only the category of the main file when it is created, the document image file may be scanned at the same time as the main file and the attachment to form a single file. By reading the third bar code 103 on the first page of the roster, it can be known whether the file type currently read is the main file or an attachment. For example, reading the first bar code 101 and the third bar code 103 on the first page of the roster and knowing that the category of the roster is an attachment, at this time, you can skip the roster and directly read the first page of the next roster.

In addition, through the formation of the third barcode 103, it is also possible to create its own sequential files according to different types of rosters. For example, the first sequential file is created based on the category of the roster of the main document, and the second sequential file is created based on the category of the roster of attachments. In this way, the personnel can selectively view only the pages whose categories are main documents or attachments, or they can simultaneously view all pages of the main document and attachments containing the query keywords (characteristics).

It should be particularly noted here that FIG. 6 is only an example of a sequential file, and it is not required that the actual content of the sequential file must be arranged as shown in FIG. 6 or that an order value must be added next to each feature data. In principle, as long as the program can read the sequential files, it can know the order in which each characteristic data appears in each roster.

Please refer to FIG. 7, which is a method flowchart of an embodiment of a content indexing method of a document image file according to the present invention, including steps P01 to P02. If you want to query specific information and its image file, a query keyword that can be provided, such as A0000000000 of characteristic data 109a, means to retrieve all the roster pages in the image file of the document that have characteristic data A0000000000. After receiving the query keywords, the system will read the index file and use the index value to obtain the key value of the associated roster and the number of pages that appear, and retrieve the pages and images of the A0000000000 that appear. In addition, you can also specify the category information of the roster at the same time, and then retrieve the page of A0000000000 in the roster of the specified category information through the third bar code. Therefore, the content indexing method of the document image file of the present invention allows to quickly find out the information that contains the characteristic data in the register that may reach up to tens of thousands of copies while reading the data without using the optical image recognition technology. All the roster and the number of pages on which it appears, so that you can quickly retrieve the image file containing the characteristic data, without the need to identify all the specific content of the document in advance through optical image recognition technology before reading the data.

Although the present invention has been disclosed as above with the examples, it is not intended to limit the present invention. Any person with ordinary knowledge in the technical field can make some modifications and changes without departing from the spirit and scope of the present invention. Therefore, as long as these modifications and changes are within the scope of the attached patent application and the scope equivalent thereto, the present invention will also cover these modifications and changes.

Claims (10)

A method for establishing an indexable document image file includes: creating a plurality of lists, each of which contains a plurality of pages, at least one of which contains a plurality of characteristic data; forming a first bar code on the first page of each of the roster, the first bar code Contains the identification information of one of the corresponding roster; forms a second bar code on each page of each roster, the second bar code contains the total number of pages and feature data of the corresponding page of the roster Information; create a sequential file, which contains the plural characteristic data of each of the roster, and the characteristic data are recorded in order according to the order in which they appear in the roster; scanning the roster to form a document image file; And read the second bar code of each of the roster and the sequential file to define the page number of each roster where the feature data is located, and create an index file to record the roster where each of the feature data is defined Page number of page. The method for establishing a content indexable document image file as described in claim 1, further includes: forming a third barcode on the first page of each of the roster, the third bar code containing the category information of one of the roster. The method for establishing a content indexable document image file as described in claim 1, further comprising: forming a third bar code on the first page of each roster, and the third bar code contains corresponding category information of one of the roster. The method for creating a content indexable document image file as described in claim 1, further includes: during the establishment of each of the roster, detecting whether there is new feature data in real time or periodically. When new feature data is added, the detected new feature data sequence file is recorded synchronously. The method for establishing a content indexable document image file as described in any one of claims 1 to 4, wherein the characteristic data is a group formed by selecting a subnet number, a name, an account number, and a combination thereof. A content indexing method for a document image file, which is applicable to a document image file created as in claim 2, 3, or 5. The method includes: receiving a query keyword, the query keyword being selected from one of the characteristic data Or; searching for the query keyword in the index file, and determining that it matches the page of the roster in which the query keyword is located. The content indexing method for a document image file according to claim 6, further comprising: determining, according to the category information of the third bar code, a page of the roster that matches the query keyword. The content indexing method of the document image file according to claim 6 or 7, further comprises: determining, according to the identification information of the roster contained in the first bar code, a page that matches the roster where the query keyword is located. A content indexing method for a document image file, which is applicable to the document image file created by the request item 1 or 4. The method includes: receiving a query keyword, the query keyword is selected from one of the characteristic data; And searching the index keyword in the index file, and determining that the page of the roster in which the query keyword is located matches. The content indexing method of the document image file according to claim 9, further comprising: determining, according to the identification information of the roster contained in the first barcode, a page of the roster that matches the query keyword.