Automatic book typesetting implementation method based on book text information

Abstract

The invention discloses an automatic book typesetting implementation method based on book text information, relates to the technical field of digital publishing, and aims to solve the problems of low efficiency, unstable quality, insufficient flexibility, insufficient file security and poor user experience caused by manual operation in traditional book typesetting. Comprising the following steps: S1, splitting character information of a book into a character file and a picture file; s2, identifying a plurality of character files and picture files with the same names in the corresponding file records, and merging the character files and the picture files to form a merged character file and a merged picture file; s3, integrating the text information and the picture information of the book into an xml file; and S4, generating and outputting a PDF file through the xml file. Through the automatic information processing flow, the defects that a traditional manual typesetting mode is low in efficiency and prone to making mistakes are effectively overcome, typesetting time is greatly shortened, and typesetting accuracy and attractiveness are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital publishing, and more specifically, to a method for automatically typesetting books based on book text information. Background Art

[0002] In the traditional book publishing process, typesetting work highly depends on manual operation. Editors need to spend a large amount of time and energy on sorting, arranging, and formatting the text and picture content of books. For text information, not only do they have to handle chapter division and paragraph format adjustment, but also carefully check the accuracy of the text, including spelling, grammar, and the consistency of professional terms, etc. And picture processing involves picture cropping, resolution adjustment, color mode conversion, and precise positioning in the document to ensure reasonable graphic matching and compliance with typesetting aesthetics.

[0003] With the continuous expansion of the book market and the acceleration of the digitalization process, the quantity and variety of books published have increased day by day, posing higher requirements for typesetting efficiency and quality. Due to the subjectivity and repetitive labor characteristics of the manual typesetting method, problems such as typesetting errors, inconsistent formats, and low efficiency are likely to occur.

[0004] In addition, when a book needs to be published on different platforms or media, such as e-books, paper books, online serials, etc., it is necessary to make multiple adjustments to the typesetting according to different output requirements, which further increases the burden of typesetting work and consumes more human and time costs. Therefore, developing an efficient, accurate, and highly automated book typesetting method has become an urgent problem to be solved in the book publishing industry. In view of this, we propose a method for automatically typesetting books based on book text information. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for automatically typesetting books based on book text information to solve the problems of low efficiency, unstable quality, insufficient flexibility, lack of file security, and poor user experience caused by manual operation in traditional book typesetting.

[0006] To solve the above technical problems, the present invention provides the following technical solution: A method for automatically typesetting books based on book text information, including the following steps:

[0007] S1: Split the text information of the book into a text file and a picture file, and the text file and the picture file are respectively recorded by corresponding files;

[0008] S2: Identify several text files and picture files with the same name in the corresponding file records, and merge the several text files and picture files to form a merged text file and a merged picture file;

[0009] S3: Integrate the text information and picture information of the book into an xml file;

[0010] S4: Generate and output a PDF file through the xml file to achieve automatic typesetting of the book text information.

[0011] Through an automated information processing process, including intelligent text information splitting, precise file merging and optimized information integration, as well as efficient PDF generation, the present invention effectively overcomes the disadvantages of low efficiency and easy errors in the traditional manual typesetting method, greatly reduces the typesetting time and improves the typesetting accuracy and aesthetics, ensuring that the book content meets the high-quality publishing standards in both text and picture typesetting.

[0012] Preferably, the splitting step includes:

[0013] S101: According to a predetermined logic, use a text parsing algorithm to split the book text information into multiple independent text files;

[0014] S102: Use an image extraction algorithm to separate the picture information in the book from the text information to obtain independent picture files;

[0015] S103: Create corresponding file records for each split text file and picture file;

[0016] S104: For the text information, identify and mark the special formats therein, and the special formats include bold, underline and italic, and mark them respectively as 、 and ;

[0017] S105: When the book text information is a mixture of multiple languages, distinguish the text parts of different languages through the language recognition algorithm L = f(W), where L represents the language type, W represents the text content, and f represents the language recognition function, and mark the recognized language type in the corresponding file record.

[0018] Preferably, in the text parsing algorithm, its performance is evaluated according to the formula E = a(N), where E represents the performance evaluation result, N represents the text volume, and a represents the performance evaluation function, and when the performance evaluation result E is lower than the predetermined performance threshold E 0 automatically adjust the splitting strategy.

[0019] Preferably, the predetermined logic includes chapters, paragraphs, pages, and predetermined marking symbols.

[0020] Preferably, the file record includes the book name, author name, file name, and auxiliary information, and the auxiliary information includes the creation time and source page number of the file.

[0021] Preferably, the identifying and merging steps include:

[0022] S201: Identify the same files according to the keywords, numbers, chapter identifiers, or custom rules R = g(F) in the file name, where R represents the identification result, F represents the file features, and g represents the file recognition function;

[0023] S202: For the text files to be merged, perform a merging operation using the proofreading algorithm C = h(T), where C represents the proofreading result, T represents the text content, and h represents the proofreading function;

[0024] S203: For the picture files to be merged, perform a merging operation using the image processing algorithm I = k(P), where I represents the processing result, P represents the picture, and k represents the image processing function.

[0025] Preferably, the proofreading algorithm includes checking and correcting spelling mistakes and grammar mistakes in the text content, and reorganizing and optimizing the text content according to semantics. The image processing algorithm includes unifying the resolution of the pictures, adjusting the color mode from RGB to CMYK, and optimizing the brightness, contrast, and saturation of the pictures.

[0026] Preferably, the integrating step includes:

[0027] S301: Construct an xml file with the merged text information and picture information according to the xml structure specification;

[0028] S302: In the xml file, for text information, different xml tags are assigned according to its hierarchical structure in the book;

[0029] S303: For picture information, its size, position, and reference information are recorded in the xml file;

[0030] S304: Store the typesetting style templates corresponding to the book types;

[0031] S305: Convert the cited literature and annotations in the book into structured xml tags according to a predetermined citation format, and establish two-way links with the main text.

[0032] Preferably, the hierarchical structure includes titles, subtitles, and main text, and also includes font, font size, and paragraph format information of the text.

[0033] Preferably, the generating and outputting steps include:

[0034] S401: Use the xml-to-PDF conversion algorithm to convert the xml file into a PDF file;

[0035] S402: Perform precise typesetting on the text according to the information in the xml file, insert the pictures into the corresponding positions, and handle the relationship between text and pictures;

[0036] S403: Adjust the layout of the PDF file according to the preset printing parameters, where the printing parameters include paper size, margin, and printing orientation;

[0037] S404: Provide a visual preview interface, in which modifications to typesetting details are allowed, and the typesetting effects before and after the modification are compared;

[0038] S405: Encrypt the generated PDF file and set the permissions for copying, printing, and editing.

[0039] Compared with the prior art, the beneficial effects of the present invention are:

[0040] 1. Through an automated information processing process, including intelligent text information splitting, precise file merging and optimized information integration, and efficient PDF generation, the present invention effectively overcomes the disadvantages of low efficiency and error-proneness of traditional manual typesetting methods, greatly reduces the typesetting time, improves the typesetting accuracy and aesthetics, and ensures that the book content meets the high-quality publishing standards in both text and picture typesetting.

[0041] 2. Based on the flexibly callable typesetting style templates and comprehensive support for multi-language, multi-format, and multi-publishing requirements, the present invention further solves the typesetting limitations caused by diverse publishing types and platforms. Meanwhile, with the help of encryption technology to ensure the integrity and security of files, it can not only meet the publishing requirements of different books on various media, but also effectively prevent content from being tampered with, greatly enhancing the adaptability and reliability of typesetting results, and improving the overall stability and controllability of the publishing process.

[0042] 3. In terms of word processing, the intelligent proofreading algorithm of the present invention can comprehensively check for spelling, grammar, and professional term errors, avoiding omissions that may occur in manual proofreading and ensuring the accuracy and professionalism of the text content. For image processing, unified resolution adjustment, color mode conversion, and optimization based on the human eye visual perception model make the visual effect of pictures in typesetting more outstanding, and the combination of pictures and text more harmonious and beautiful, thus improving the overall typesetting quality of books. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a schematic flow chart of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0044] As Figure 1 shown, a method for automatically typesetting books based on book text information according to the present invention includes the following steps:

[0045] S1: Split the text information of the book into a text file and a picture file, and the text file and the picture file are respectively recorded by corresponding files;

[0046] In the embodiment of the present invention, the splitting step includes:

[0047] S101: According to a predetermined logic, which includes chapters, paragraphs, pages, and predetermined marking symbols, use a text parsing algorithm to split the book text information into multiple independent text files;

[0048] S102: Use an image extraction algorithm to separate the picture information in the book from the text information to obtain independent picture files;

[0049] S103: Create corresponding file records for each split text file and picture file;

[0050] In the embodiment of the present invention, the file record includes the book name, author name, file name, and auxiliary information;

[0051] In the embodiment of the present invention, the auxiliary information includes the creation time of the file and the source page number;

[0052] S104: For text information, identify and mark the special formats therein, where the special formats include bold, underline, and italic, and mark them as 、 And ;

[0053] S105: When the book text information is a mixture of multiple languages, use the language recognition algorithm L = f(W) to distinguish the text parts in different languages, where L represents the language type, W represents the text content, and f represents the language recognition function, and mark the recognized language type in the corresponding file record;

[0054] S2: Identify several text files and picture files with the same name in the corresponding file record, and merge the several text files and picture files to form a merged text file and a merged picture file;

[0055] In the embodiments of the present invention, the identification and merging steps include:

[0056] S201: Identify the same files according to the keywords, numbers, chapter identifiers or custom rules R = g(F) in the file name, where R represents the recognition result, F represents the file feature, and g represents the file recognition function;

[0057] S202: For the text files to be merged, use the proofreading algorithm C = h(T) to perform the merging operation, where C represents the proofreading result, T represents the text content, and h represents the proofreading function;

[0058] In the embodiments of the present invention, the proofreading algorithm includes checking and correcting spelling mistakes and grammar mistakes in the text content, and reorganizing and optimizing the text content according to semantics;

[0059] S203: For the picture files to be merged, use the image processing algorithm I = k(P) to perform the merging operation, where I represents the processing result, P represents the picture, and k represents the image processing function;

[0060] In the embodiments of the present invention, the image processing algorithm includes unifying the resolution of the pictures, adjusting the color mode from RGB to CMYK, and optimizing the brightness, contrast and saturation of the pictures.

[0061] The present invention also, in terms of text processing, the intelligent proofreading algorithm can comprehensively check for spelling, grammar and technical term mistakes, avoiding omissions that may occur in manual proofreading, and ensuring the accuracy and professionalism of the text content. For picture processing, the unified resolution adjustment, color mode conversion and optimization based on the human eye visual perception model make the visual effect of the pictures in the layout more excellent, and the combination of pictures and text more harmonious and beautiful, thus improving the overall layout quality of the books.

[0062] S3: Integrate the text information and picture information of the book into an xml file;

[0063] In the embodiments of the present invention, the integration step includes:

[0064] S301: Construct an XML file by combining the merged text information and image information according to the XML structure specification;

[0065] S302: In the XML file, for the text information, assign different XML tags according to its hierarchical structure in the book;

[0066] In the embodiments of the present invention, the hierarchical structure includes titles, subtitles, and main texts, and also includes font, font size, and paragraph format information of the text;

[0067] S303: For the image information, record its size, position, and reference information in the XML file;

[0068] S304: Store the typesetting style templates corresponding to the book types;

[0069] S305: Convert the reference documents and annotations in the book into structured XML tags according to a predetermined reference format, and establish two-way links with the main text.

[0070] S4: Generate and output a PDF file through the XML file to achieve automatic typesetting of the book text information;

[0071] The present invention further solves the typesetting limitation problems caused by diverse publication types and platforms based on the flexibly callable typesetting style templates and comprehensive support for multi-language, multi-format, and multi-publication requirements. At the same time, encryption technology is used to ensure the integrity and security of the file. It can not only meet the publishing requirements of different books on various media, but also effectively prevent the content from being tampered with, greatly enhancing the adaptability and reliability of the typesetting results, and improving the overall stability and controllability of the publishing process.

[0072] In the embodiments of the present invention, the generation and output steps include:

[0073] S401: Use the XML-to-PDF conversion algorithm to convert the XML file into a PDF file;

[0074] S402: Precisely typeset the text according to the information in the XML file, insert the images into the corresponding positions, and process the text-image relationship;

[0075] S403: Adjust the layout of the PDF file according to the preset printing parameters, where the printing parameters include paper size, margin, and printing orientation;

[0076] S404: Provide a visual preview interface, where modifications to the typesetting details are allowed in the preview interface, and the typesetting effects before and after the modifications are compared;

[0077] S405: Encrypt the generated PDF file and set the permissions for copying, printing, and editing.

[0078] Through an automated information processing process, the present invention includes intelligent text information splitting, precise file merging, optimized information integration, and efficient PDF generation, effectively overcoming the disadvantages of low efficiency and easy errors in traditional manual typesetting methods, significantly reducing the typesetting time, improving the typesetting accuracy and aesthetics, and ensuring that the book content meets the high-quality publishing standards in terms of text and picture typesetting.

[0079] In the embodiment of the present invention, in the text parsing algorithm of step S1, its performance is evaluated according to the formula E = a(N), where E represents the performance evaluation result, N represents the text volume, a represents the performance evaluation function, and when the performance evaluation result E is lower than the predetermined performance threshold E 0 the splitting strategy is automatically adjusted;

[0080] In the embodiment of the present invention, adjusting the splitting strategy includes adjusting the granularity of the logical unit or adopting a more efficient parsing algorithm to optimize the efficiency of the splitting process.

[0081] The embodiments disclosed in the present invention are preferred embodiments, but not limited thereto. Those of ordinary skill in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not depart from the spirit of the present invention, they are within the protection scope of the present invention.

Claims

1. A method for realizing automatic typesetting of books based on book text information, characterized in that: The following steps are involved: S1: Split the text information of the book into text files and image files, and the text files and image files are recorded in corresponding files respectively; S2: identifying a plurality of text files and image files with the same name in the corresponding file record, and merging the plurality of text files and image files to form a merged text file and a merged image file; S3: Integrate the text information and picture information of the book into an XML file; S4: Generate and output PDF files through XML files to realize automatic typesetting of book text information.

2. A method for realizing automatic typesetting of books based on book text information according to claim 1, characterized in that: The splitting step in step S1 includes: S101: splitting the book text information into multiple independent text files using a text parsing algorithm according to a predetermined logic; S102: Separating the picture information in the book from the text information using an image extraction algorithm to obtain an independent picture file; S103: creating a corresponding file record for each of the split text files and image files; S104: For the text information, identify and mark special formats therein, where the special formats include bold, underline, and italics, and mark them as 、 and ； S105: When the text information of the book is mixed in multiple languages, the text parts of different languages ​​are distinguished by a language recognition algorithm L=f(W), where L represents the language type, W represents the text content, and f represents the language recognition function, and the recognized language type is marked in the corresponding file record.

3. A method for realizing automatic typesetting of books based on book text information according to claim 2, characterized in that: In the text parsing algorithm in step S1, its performance is evaluated according to the formula E=a(N), where E represents the performance evaluation result, N represents the amount of text, and a represents the performance evaluation function, and when the performance evaluation result E is lower than the predetermined performance threshold E0, the splitting strategy is automatically adjusted.

4. A method for realizing automatic typesetting of books based on book text information according to claim 2, characterized in that: The predetermined logic includes chapters, paragraphs, pages and predetermined marking symbols.

5. A method for realizing automatic typesetting of books based on book text information according to claim 4, characterized in that: The file record includes the book name, author name, file name and auxiliary information, and the auxiliary information includes the creation time and source page number of the file.

6. A method for realizing automatic typesetting of books based on book text information according to claim 1, characterized in that: The identifying and merging steps in step S2 include: S201: Identify identical files based on keywords, numbers, chapter identifiers or a custom rule R=g(F) in the file names, where R represents the identification result, F represents the file feature, and g represents the file identification function; S202: For the text files to be merged, a merging operation is performed using a proofreading algorithm C=h(T), where C represents the proofreading result, T represents the text content, and h represents the proofreading function; S203: For the image files to be merged, an image processing algorithm I=k(P) is used to perform a merging operation, wherein I represents a processing result, P represents an image, and k represents an image processing function.

7. A method for realizing automatic book typesetting based on book text information according to claim 6, characterized in that: The proofreading algorithm includes checking and correcting spelling errors and grammatical errors in the text content, and reorganizing and optimizing the text content according to semantics. The image processing algorithm includes unifying the resolution of the image, adjusting the color mode from RGB to CMYK, and optimizing the brightness, contrast and saturation of the image.

8. The method for realizing automatic typesetting of books based on book text information according to claim 1, characterized in that: The integration step in step S3 includes: S301: constructing the merged text information and image information into an XML file according to the XML structure specification; S302: in the XML file, different XML tags are assigned to the text information according to its hierarchical structure in the book; S303: For the picture information, record its size, position and reference information in the XML file; S304: storing a typesetting style template corresponding to the book type; S305: Convert the references and notes in the book into structured XML tags according to a predetermined reference format, and establish a bidirectional link with the main text.

9. A method for realizing automatic book typesetting based on book text information according to claim 8, characterized in that: The hierarchical structure includes title, subtitle, and body, as well as the font, font size, and paragraph format information of the text.

10. The method for realizing automatic typesetting of books based on book text information according to claim 1, characterized in that: The generating and outputting step in step S4 includes: S401: Converting the XML file into a PDF file using an XML to PDF conversion algorithm; S402: accurately typeset the text according to the information in the XML file, insert the image into the corresponding position, and process the relationship between the image and the text; S403: adjusting the layout of the PDF file according to preset printing parameters, wherein the printing parameters include paper size, page margins, and printing direction; S404: providing a visual preview interface, in which the layout details can be modified, and the layout effects before and after the modification can be compared; S405: Encrypt the generated PDF file and set copy, print and edit permissions.

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