A file quality detection system

Abstract

The present invention belongs to the field of archive quality inspection, and specifically relates to an archive quality inspection system, comprising a document retrieval module, a scanning retrieval module, a display module, a record entry module, a statistics module, and an export module; the document retrieval module retrieves document information of archives in an archive database; the scanning retrieval module retrieves image information of archives in the archive database, the image information including content image information and packaging image information; the display module displays the archive document information retrieved by the document retrieval module and the archive image information retrieved by the scanning retrieval module on the same screen; the record entry module stores problem categories of document information and image information marked by input devices; the statistics module counts problem categories of archives entered by the record entry module according to set rules; and the export module exports reports generated by the statistics module. The present invention specifically compares and checks entered document information with scanned copy information to identify problematic archives, and also has good confidentiality.

Description

Technical Field

[0001] The present invention belongs to the field of archive quality inspection, and in particular relates to an archive quality inspection system. Background Art

[0002] Archive digitization involves scanning and entering paper documents into computer databases to facilitate quick and easy retrieval, quick and simple synchronous backup, minimal storage space, easy maintenance, and security. This digitization of archives allows archivists to achieve twice the result with half the effort in completing their various archival management tasks, not only improving economic returns but also significantly increasing office efficiency.

[0003] Existing archive digitization typically involves two steps: manual entry of basic or important information into the system, followed by scanning and storing the scanned copies in the system for easy access. This approach presents several challenges. The data entry process is prone to errors, while the scanning process is also prone to omissions and poor scan quality. Currently, there's no effective way to identify these issues. Summary of the Invention

[0004] The present invention provides an archive quality detection system that can effectively solve the problems existing in the prior art. It specifically compares and checks the input document information with the scanned copy information to find out the problematic archives, and also has good confidentiality.

[0005] The present invention provides an archive quality detection system, which includes a document retrieval module, a scanning retrieval module, a display module, a record entry module, a statistics module and an export module; the document retrieval module retrieves document information of archives in an archive database; the scanning retrieval module retrieves image information of archives in the archive database, and the image information includes content image information and packaging image information; the display module displays the archive document information retrieved by the document retrieval module and the archive image information retrieved by the scanning retrieval module on the same screen; the record entry module stores the problem categories of the document information and image information marked by input device input; the statistics module counts the problem categories of the archives entered by the record entry module according to set rules; and the export module exports the report formed after the statistics are counted by the statistics module.

[0006] As a further optimization of the present invention, the archive problem categories stored in the record entry module include entry problem categories, content problem categories and appearance problem categories.

[0007] As a further optimization of the present invention, the entry problem categories include content that is too short, non-standard content, need for half-angle brackets, incorrect time format, non-standard name, non-standard responsible person, page error, title missing punctuation, time error, duplicate, and title inconsistent with the original text.

[0008] As a further optimization of the present invention, content problem categories include mounting errors, poor image quality, naming errors, missed images, damaged images, AB identification errors, and other problems.

[0009] As a further optimization of the present invention, the categories of appearance problems include unscientific file classification, inaccurate storage period division, disorderly arrangement, irregular numbering, incomplete preparation form, incomplete catalog, irregular binding and boxing, and other problems.

[0010] As a further optimization of the present invention, the archive document information retrieved by the document retrieval module and the archive image information retrieved by the scanning retrieval module both include archive database configuration information.

[0011] As a further optimization of the present invention, it also includes a document segmentation module, a segmentation document marking module, a grayscale processing module, a picture segmentation module, a segmentation picture marking module and a mark matching module; the document segmentation module segments the archival document information retrieved by the document retrieval module according to entries; the segmentation document marking module marks the document entries segmented by the document segmentation module according to set rules; the grayscale processing module performs grayscale processing on the archival picture information retrieved by the scanning retrieval module; the picture segmentation module segments the picture processed by the grayscale processing module based on grayscale continuity and similarity; the segmentation picture marking module marks the picture segmented by the picture segmentation module according to set rules; the mark matching module matches the content marked by the segmentation document marking module with the content marked by the segmentation picture marking module and transmits it to the display module.

[0012] As a further optimization of the present invention, the display module does not display the content marked by the segmentation document marking module; the display module does not display the content marked by the segmentation picture marking module.

[0013] As a further optimization of the present invention, it further includes an encryption module; the encryption module encrypts the content marked by the document marking module; the encryption module encrypts the content marked by the segmented picture marking module.

[0014] As a further optimization of the present invention, the encryption module adopts asymmetric encryption rules.

[0015] The present invention provides a file quality detection system, which specifically compares and checks input document information with scanned copy information to find out problematic files, and also has good confidentiality. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural diagram of the principle of the present invention. DETAILED DESCRIPTION

[0017] This embodiment includes a document retrieval module, a scanning retrieval module, a display module, a record input module, a statistics module and an export module.

[0018] The document retrieval module communicates with the archive database to retrieve document information from it. This document information is typically manually entered, which is prone to errors. Some information is also recognized using optical character recognition (OCR), a technology whose accuracy needs to be improved. When retrieving document information from the archive database, the document retrieval module also retrieves the archive database configuration information to identify the source and ownership of the retrieved document information.

[0019] The scanning and retrieval module also communicates with the archive database to retrieve image information from the archive. This image information is typically captured by a scanner or camera and includes images of the archive's contents and the outer packaging of the archive box. When retrieving image information from the archive database, the scanning and retrieval module also retrieves the archive database configuration information to identify the source and ownership of the retrieved image information.

[0020] The document retrieval module and the scanning retrieval module display the retrieved document information and image information through the display module. The display module here uses a computer display screen, and of course it can also use display devices such as a projector or a splicing screen.

[0021] The quality inspection operator observes and compares the document information and image information displayed on the display module, finds out the problematic information and marks the problems through input devices such as keyboard and mouse. This embodiment classifies the problems to facilitate the operator to check the operation. The problem categories include input problem category, content problem category and appearance problem category. The input problem category specifically includes content that is too short, content is not standardized, half-angle brackets are required, time format is incorrect, name is not standardized, responsible person is not standardized, page error, title missing punctuation, time error, duplicate, title does not match the original text, etc.; content problem category specifically includes mounting error, poor image quality, naming error, missed image, damaged image, AB label error, other problems, etc.; appearance problem category mainly refers to the outer packaging problem of the file box, specifically including unscientific file classification, inaccurate storage period division, disordered arrangement, non-standard numbering, incomplete preparation table, incomplete catalog, non-standard binding and boxing, and other problems.

[0022] The mark input module stores the problem marks entered by the quality inspection operator through the input device and feeds them back to the statistical module. The statistical module analyzes and counts the problem categories according to the set rules, and finally exports the statistical results in the form of a report through the export module for users to analyze and correct.

[0023] This embodiment specifically compares and checks the input document information with the scanned copy information to control the quality of the file digitization process and reduce errors in the file digitization process.

[0024] This embodiment further provides a preferred solution that can improve confidentiality during the quality inspection of archives. For quality inspections with higher confidentiality requirements, the following preferred solution can be used:

[0025] Specifically, it also includes a document segmentation module, a segmented document marking module, a grayscale processing module, an image segmentation module, a segmented image marking module and a marking matching module.

[0026] The document segmentation module segments the archival document information retrieved by the document retrieval module according to entries, and divides a document into several separate entries. In this way, the quality inspection operator cannot see the entire document information during the quality inspection process, which greatly improves the confidentiality level of the quality inspection process.

[0027] The document segmentation marking module marks the document entries segmented by the document segmentation module according to the set rules. If necessary, the marking process can be encrypted by the encryption module. The encryption method can adopt asymmetric encryption with a higher encryption level, such as RSA, ECC and other encryption technologies.

[0028] The grayscale processing module grayscales the archive image information retrieved by the scanning and retrieval module. The image segmentation module then segments the image based on grayscale continuity and similarity. This prevents quality inspection personnel from viewing the entire scanned image during the inspection process, reducing the possibility of image information leakage. The segmented image marking module then marks the segmented small images according to pre-set rules. Similar to the segmented document marking module, the marking process of the segmented image marking module can also be encrypted using an encryption module. The encryption method can also use high-level asymmetric encryption, such as RSA, ECC, and other encryption technologies.

[0029] The tag matching module matches the content marked by the document segmentation tag module with the content marked by the image segmentation tag module and transmits it to the display module. This greatly improves the security of the quality inspection process and effectively prevents information leakage, eliminating the need for quality inspection operators to see only partial or chaotic document and image information during quality inspection.

[0030] Furthermore, the display module does not display the content marked by the segmentation document marking module, and similarly, the display module does not display the content marked by the segmentation image marking module, further eliminating the possibility for quality inspection operators to reversely deduce marking rules through the marked content.

[0031] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A file quality detection system, characterized in that: It includes document retrieval module, scanning retrieval module, display module, record entry module, statistics module and export module; The document retrieval module retrieves the document information of the archives in the archive database; The scanning and retrieving module retrieves the image information of the archive in the archive database, and the image information includes content image information and packaging image information; The display module displays the archive document information retrieved by the document retrieval module and the archive picture information retrieved by the scanning retrieval module on the same screen; The quality inspection operator observes and compares the information displayed on the display module to find out the problems and marks the problems through the input device, and records the marks into the problem categories stored in the module; The statistics module counts the problem categories of the files entered into the module according to the set rules; The export module exports the report generated by the statistics module; It also includes a document segmentation module, a segmented document marking module, a grayscale processing module, an image segmentation module, a segmented image marking module and a marking matching module; The document segmentation module segments the archive document information retrieved by the document retrieval module according to entries; The document segmentation and marking module marks the document entries segmented by the document segmentation module according to the set rules; The grayscale processing module performs grayscale processing on the archive image information retrieved by the scanning and retrieval module; The image segmentation module segments the image processed by the grayscale processing module based on grayscale continuity and similarity; The segmentation image marking module marks the image segmented by the image segmentation module according to the set rules; The tag matching module matches the content marked by the segmentation document tag module with the content marked by the segmentation image tag module and passes them to the display module.

2. The file quality detection system according to claim 1, characterized in that: The archive problem categories stored in the record entry module include entry problem categories, content problem categories and appearance problem categories.

3. The file quality detection system according to claim 2, characterized in that: The categories of input problems include content that is too short, non-standard content, need for half-angle brackets, incorrect time format, non-standard name, non-standard responsible person, page error, missing punctuation in the title, time error, duplicate, and title that does not match the original text.

4. The file quality detection system according to claim 2, characterized in that: Content problem categories include mounting errors, poor image quality, naming errors, missed images, image damage, AB labeling errors, and other issues.

5. The file quality detection system according to claim 2, characterized in that: Categories of appearance problems include unscientific file classification, inaccurate division of storage periods, disorderly arrangement, irregular numbering, incomplete preparation forms, incomplete catalogs, irregular binding and boxing, and other problems.

6. The file quality detection system according to claim 1, characterized in that: The archival document information retrieved by the document retrieval module and the archival image information retrieved by the scanning retrieval module both include archival database configuration information.

7. The file quality detection system according to claim 1, characterized in that: The display module does not display the content marked by the segmentation document marking module; the display module does not display the content marked by the segmentation image marking module.

8. The file quality detection system according to claim 1, characterized in that: It also includes an encryption module; the encryption module encrypts the content marked by the document marking module; the encryption module encrypts the content marked by the segmented image marking module.

9. The file quality detection system according to claim 8, characterized in that: The encryption module uses asymmetric encryption rules.

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