CN114943067B - File archive anti-counterfeiting identification method based on OCR technology - Google Patents
File archive anti-counterfeiting identification method based on OCR technology Download PDFInfo
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
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- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/18—Extraction of features or characteristics of the image
- G06V30/186—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
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Abstract
The invention discloses a file archive anti-counterfeiting identification method based on an OCR technology, which comprises the following steps of: a.1, scanning the file to form a corresponding electronic file; a.2, performing OCR processing on the electronic file to form a black-and-white dot matrix image file; a.3, converting the black-and-white dot matrix image file into an electronic text document; a.4, combining the electronic file archive, the graphic features and the electronic text document to generate an anti-counterfeiting feature combination; file archive anti-counterfeiting identification: b.1, scanning the borrowed or circulated file files; b.2, repeating the steps A.2-A.4 to obtain the anti-counterfeiting feature combination of the current electronic file to be anti-counterfeiting verified, and comparing the anti-counterfeiting feature combination with the anti-counterfeiting feature combination of the corresponding electronic file in the database. The invention realizes the omnibearing three-dimensional anti-counterfeiting and identification of the whole set of document under the condition of preserving the characteristics of the original document, improves the safety and the integrity of the document and is beneficial to the storage and the management of the document.
Description
Technical Field
The invention relates to the technical field of file management, in particular to a file archive anti-counterfeiting identification method based on an OCR technology.
Background
Along with the progress of science and technology and the development of society, the counterfeit and counterfeit activities of file archives are rampant day by day, the anti-counterfeiting technology of documents becomes a main means for protecting the authenticity and integrity of file archives, the current mainstream anti-counterfeiting technology mainly comprises the anti-counterfeiting technologies such as the anti-counterfeiting of a secret mark watermark, the anti-counterfeiting of materials, the digital anti-counterfeiting of labels and the like, the main technical means is the anti-counterfeiting technology of printing or labeling on the original basis of the documents, although the anti-counterfeiting of the documents can be realized, the following defects are more or less:
1. the cost of anti-counterfeiting raw materials of the material is high, the addition of a secret mark or the sticking of a label on the original document is needed for the digital anti-counterfeiting of the secret mark watermark and the label, manual treatment is needed for part of work, the efficiency is low, and the cost is high;
2. the risk of influencing the original appearance of the image and text of the document exists in the process of the digital anti-counterfeiting of the secret mark watermark and the label, and the document is difficult to modify after a mistake occurs, so that the document reading experience is influenced;
3. the anti-counterfeiting modes such as invisible codes and labels need special equipment and are used by professionals to perform anti-counterfeiting work.
Disclosure of Invention
The invention aims to solve the technical problem of providing a file anti-counterfeiting identification method based on an OCR technology, which can keep the authenticity and integrity of the original characteristics of a document and can quickly realize the anti-counterfeiting identification of the document after the file is borrowed or circulated outside.
In order to solve the technical problems, the invention adopts the technical scheme that: a document file anti-counterfeiting identification method based on OCR technology comprises a document file anti-counterfeiting feature generation step and a document file anti-counterfeiting identification step,
the file archive anti-counterfeiting feature generation step comprises the following steps: a.1, scanning the file to form a corresponding electronic file; a.2, performing OCR processing on the electronic file to form a black-and-white dot matrix image file, and then extracting at least one of file pattern characteristics and hand-written pattern characteristics in the black-and-white dot matrix image file to establish pattern characteristics; a.3, converting the black-and-white dot matrix image file into an editable electronic text format and obtaining an electronic text document after proofreading; a.4, combining the electronic file, the graphic features and the electronic text document to generate an anti-counterfeiting feature combination of the current file; the file archive anti-counterfeiting identification step comprises the following steps: b.1, after the file files which are lent or circulated are put in storage, scanning the file files to obtain the electronic file files to be anti-counterfeiting verified, if the file files are damaged or missing, alarming, and if the file files are not damaged or missing, entering the next step; b.2, repeating the steps A.2-A.4 to obtain the anti-counterfeiting feature combination of the current electronic file to be anti-counterfeiting verified, randomly or totally comparing the anti-counterfeiting feature combination of the current electronic file to be anti-counterfeiting verified with the anti-counterfeiting feature combination of the corresponding electronic file in the database, entering a filing and warehousing process if the comparison is passed, and otherwise, giving an alarm.
Further, in a.2, the archival graphic features and the handwritten graphic features are extracted by extracting black and white dot matrix features in combination with the color changes of the text fonts, characters, fonts and printed texts.
Further, the anti-counterfeiting feature combination in A.4 comprises one or more of feature points, feature chains, feature nets and feature trees.
Furthermore, the electronic graphic document is used as a contrast reference object, graphic features and electronic text document information are comprehensively contrasted, a single character is used as a basic unit, and the characters in the electronic graphic document are combined with the electronic graphic document, the graphic features and corresponding point features in the electronic text document to form feature points, wherein the corresponding point features comprise one or more of shapes, colors, positions, handwritten patterns, character contents and printing color shades.
Further, combining the characteristic points of the whole text with corresponding chain characteristics to form a characteristic chain, wherein the corresponding chain characteristics comprise one or more of format, layout and position.
Further, the feature chains and the feature points in the whole page of the text are combined to form a feature network.
Further, feature nets in all pages in the electronic graphic document are combined to form a feature tree.
Further, the random anti-counterfeiting identification comprises the steps of randomly selecting a plurality of characters and single-segment characters from each page of content of the file to be anti-counterfeiting verified and carrying out anti-counterfeiting verification on the anti-counterfeiting characteristic combination of the corresponding electronic file in the database; the key anti-counterfeiting identification comprises the step of carrying out anti-counterfeiting verification on key contents of the selected part of each page of contents of a document file needing anti-counterfeiting verification and anti-counterfeiting characteristics of a corresponding electronic document file in a database, wherein the key contents comprise one or more of characters, words, paragraphs and pages; the full-text anti-counterfeiting identification comprises the step of carrying out anti-counterfeiting verification on the combination of characters, paragraphs and anti-counterfeiting characteristics of all pages in the file files needing anti-counterfeiting verification and corresponding electronic file files in the database.
The invention has the beneficial effects that: 1. under the condition of preserving the characteristics of the original document, the omnibearing three-dimensional anti-counterfeiting and identification of the whole set of document are realized, the security and the integrity of the document are improved, and the storage and the management of the document are facilitated. 2. By means of the strict and comprehensive document anti-counterfeiting feature generation method without additional operation, the establishment of anti-counterfeiting features is changed from manual operation into intelligent processing, errors and accidents of manual operation are reduced, labor cost is reduced, and management efficiency of document anti-counterfeiting identification is improved. 3. The document anti-counterfeiting identification method has the advantages that multiple functions are integrated, and document anti-counterfeiting identification can be completed without adding other operating equipment.
The present invention will be described in detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a flow chart of the document archive security feature generation steps of the present invention;
FIG. 2 is a flow chart of generating text primitive features in the present invention;
FIG. 3 is a schematic structural view of a security feature combination of the present invention;
FIG. 4 is a flowchart of the document archive anti-counterfeiting identification procedure of the present invention.
Detailed Description
The invention provides a file archive anti-counterfeiting identification method based on an OCR technology, which comprises a file archive anti-counterfeiting feature generation step and a file archive anti-counterfeiting identification step.
Referring to fig. 1, the document archive security feature generation step includes.
And A.1, scanning the paper file files through scanning equipment (such as a scanner, a high-speed shooting instrument and the like) to form corresponding electronic file files.
In the process, an electronic graphic document with the picture property is generated through sorting, synthesizing and the like. If the number of pages of the document is not complete, the missing document needs to be supplemented to be complete.
And A.2, performing OCR processing on the scanned electronic file, and converting the light and dark change of characters in the graphic document into a black and white dot matrix image file in a mode of optical detection and the like.
And extracting at least one of the file pattern characteristics and the hand-written pattern characteristics in the black-and-white dot matrix image file so as to establish pattern characteristics. Specifically, the file graphic features and the handwritten graphic features are extracted by extracting black and white dot matrix features and combining the color change of character fonts, characters, fonts and printed characters.
Specifically, as shown in fig. 2, the extracting of the archival graphic features and the handwritten graphic features includes the following steps: (1) And scanning the electronic file archive by the OCR to generate a black-and-white dot matrix image file, and then starting to generate the anti-counterfeiting feature. (2) And capturing the features by image enhancement, blur removal and light correction. (3) And synthesizing the geometric characteristics by capturing the dot matrix perspective characteristics, the dot matrix superposition characteristics, the dot matrix distortion characteristics and the dot matrix deformation characteristics. And synthesizing distortion characteristics by capturing main distortion characteristics of the black and white dot matrix. (4) Geometric characteristics and distortion characteristics, and synthesizing the original character characteristics with uniqueness and uniqueness. Combining the original character features with character features such as character font, character, font and color variation of printed characters to extract file graph features (such as tables, charts, images and the like) and handwritten graph features (such as handwritten signatures, annotations and the like), and then storing the file graph features and the handwritten graph features into a database.
And A.3, converting the black-and-white dot matrix image file into an editable electronic text format and obtaining an electronic text document after proofreading.
After the conversion into the editable electronic text in this step, the editable electronic text needs to be manually corrected to ensure that the text information is correct.
And A.4, combining the electronic file archive, the graphical features and the electronic text document to generate the anti-counterfeiting feature combination of the current file archive.
Referring to fig. 3, the combination of security features includes one or more of a feature point, a feature chain, a feature net, and a feature tree.
The electronic graphic document is used as a contrast reference object, the graphic features and the electronic text document information are comprehensively contrasted, and the characters in the electronic graphic document are combined with the corresponding point features in the electronic graphic document, the graphic features and the electronic text document to form feature points by taking a single character as a basic unit. The corresponding point features include one or more of shape, color, position, handwritten pattern, text content, and printing color shade. For a single character feature, the corresponding point feature is not limited to a single feature, and there may be a plurality of features.
And combining the characteristic points of the whole text with the corresponding chain characteristics to form a characteristic chain. The respective chain characteristics include one or more of layout, and position.
And combining the characteristic chains and the characteristic points in the whole page of the text to form a characteristic network.
Combining the feature networks in all pages in the electronic graphic document to form a feature tree, thereby forming a comprehensive three-dimensional file anti-counterfeiting feature tree taking characters as anti-counterfeiting basic units.
And repeating the steps, generating corresponding anti-counterfeiting feature combinations for the file archives needing anti-counterfeiting identification, binding the anti-counterfeiting feature combinations and the file archive information, and storing the anti-counterfeiting feature combinations and the file archive information into a database to be used during anti-counterfeiting verification.
Referring to fig. 4, the above-mentioned document file anti-counterfeit identification steps include:
b.1, after the file files which are borrowed or circulated are put in storage, scanning the file files through scanning equipment to form electronic file files, if damage or missing pages are found in the scanning process, alarming, and otherwise, entering the next step B.2. The damaged or missing document file needs to be manually processed to make the document file complete, and then the electronic document file is obtained by scanning again.
Before scanning, anti-counterfeiting identification mode selection is carried out, wherein the anti-counterfeiting identification mode comprises random anti-counterfeiting identification, key anti-counterfeiting identification and full-text anti-counterfeiting identification.
The random anti-counterfeiting identification comprises the step of randomly selecting a plurality of characters and single-segment characters for each page of content of the file needing anti-counterfeiting verification and carrying out anti-counterfeiting verification on the anti-counterfeiting characteristic combination of the corresponding electronic file in the database.
The key anti-counterfeiting identification comprises the step of carrying out anti-counterfeiting verification on the key content of each page of content selection part of the file needing anti-counterfeiting verification and the anti-counterfeiting characteristic combination of the corresponding electronic file in the database. The important content comprises one or more of characters, words, paragraphs and pages.
The full-text anti-counterfeiting identification comprises the step of carrying out anti-counterfeiting verification on characters, paragraphs and pages of all pages in the file needing anti-counterfeiting verification (namely all anti-counterfeiting characteristics in the anti-counterfeiting characteristic combination of the file needing anti-counterfeiting verification) and the anti-counterfeiting characteristic combination of the corresponding electronic file in the database.
And B.2, repeating the steps A.2-A.4 on the electronic file obtained in the step B.1 to obtain the anti-counterfeiting characteristic combination of the current electronic file to be anti-counterfeiting verified. And randomly or completely comparing the anti-counterfeiting feature combination of the current electronic file to be anti-counterfeiting verified with the anti-counterfeiting feature combination of the corresponding electronic file in the database according to the selected anti-counterfeiting recognition mode so as to perform anti-counterfeiting recognition, entering a filing and warehousing process if the comparison is passed, and otherwise, alarming and handing to a worker for processing.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention and not to limit it; although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art will understand that: modifications of the embodiments of the invention or equivalent substitutions for parts of the technical features are possible; without departing from the spirit of the present invention, it is intended to cover all aspects of the invention as defined by the appended claims.
Claims (4)
1. A file archive anti-counterfeiting identification method based on an OCR technology is characterized by comprising a file archive anti-counterfeiting feature generation step and a file archive anti-counterfeiting identification step,
the file archive anti-counterfeiting feature generation step comprises the following steps:
a.1, scanning the file to form a corresponding electronic file;
a.2, carrying out OCR processing on the electronic file to form a black-and-white dot matrix image file, and then extracting at least one of file pattern features and handwritten pattern features in the black-and-white dot matrix image file to establish pattern features;
a.3, converting the black-and-white dot matrix image file into an editable electronic text format and obtaining an electronic text document after proofreading;
a.4, combining the electronic file archive, the graphic features and the electronic text document to generate an anti-counterfeiting feature combination of the current file archive;
the file archive anti-counterfeiting identification step comprises the following steps:
b.1, after the file files which are borrowed or circulated are put in storage, scanning the file files to obtain electronic file files to be subjected to anti-counterfeiting verification, if damaged or missing pages are found, alarming, and otherwise, entering the next step;
b.2, repeating the steps A.2-A.4 to obtain the anti-counterfeiting feature combination of the current electronic file to be anti-counterfeiting verified, randomly or totally comparing the anti-counterfeiting feature combination of the current electronic file to be anti-counterfeiting verified with the anti-counterfeiting feature combination of the corresponding electronic file in the database, entering a filing and warehousing process if the comparison is passed, and otherwise, alarming;
the anti-counterfeiting feature combination in A.4 comprises one or more of feature points, feature chains, feature nets and feature trees;
taking an electronic graphic document as a contrast reference object, comprehensively comparing graphic features and electronic text document information, taking a single character as a basic unit, and combining characters in the electronic graphic document with corresponding point features in the electronic graphic document, the graphic features and the electronic text document to form feature points, wherein the corresponding point features comprise one or more of shapes, colors, positions, handwritten patterns, character contents and printing color shades;
combining the characteristic points of the whole text with corresponding chain characteristics to form a characteristic chain, wherein the corresponding chain characteristics comprise one or more of format, layout and position;
combining the feature chains and the feature points in the whole page of characters to form a feature network;
and combining the feature networks in all the pages in the electronic graphic document to form a feature tree.
2. An OCR technology based document archive anti-counterfeiting recognition method according to claim 1, wherein in a.2, archive graphic features and handwritten graphic features are extracted by extracting black and white dot matrix features in combination with color variations of character fonts, characters, fonts and printed characters.
3. An OCR technology-based document file anti-counterfeiting identification method according to claim 1 or 2, wherein in B.1, anti-counterfeiting identification mode selection is performed before scanning, and the anti-counterfeiting identification mode comprises random anti-counterfeiting identification, key anti-counterfeiting identification and full-text anti-counterfeiting identification.
4. An OCR technology-based document archive anti-counterfeiting identification method as claimed in claim 3, wherein the random anti-counterfeiting identification comprises randomly selecting a combination of a plurality of characters, a single segment of characters and anti-counterfeiting characteristics of a corresponding electronic document archive in a database for anti-counterfeiting verification for each page of content of a document archive to be anti-counterfeiting verified; the key anti-counterfeiting identification comprises the step of carrying out anti-counterfeiting verification on the key content of the selected part of each page of content of the file needing anti-counterfeiting verification and the anti-counterfeiting characteristic combination of the corresponding electronic file in the database, wherein the key content comprises one or more of characters, words, paragraphs and pages; the full-text anti-counterfeiting identification comprises the step of carrying out anti-counterfeiting verification on the combination of characters, paragraphs and anti-counterfeiting characteristics of all pages in the file files needing anti-counterfeiting verification and corresponding electronic file files in the database.
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| CN103093298A (en) * | 2012-06-18 | 2013-05-08 | 北京航星永志科技有限公司 | Multi-version digital archive management and application method for image or video file |
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