495 results about "Typeface" patented technology

A data processing system implements constructing a first prompt including a font mask of a reference character (RC) and a style prompt, sending the first prompt to a text2image model to iteratively generate salient content and concentrate the salient content within the font mask of RC as a first image of RC; concatenating two of the first images as a second image; generating a combined font mask of the font mask of RC and a font mask of a target character (TC); constructing a second prompt including the combined font mask and the second image, sending the second prompt to the model to iteratively generate salient content and in-paint the salient content within a half of the combined font mask as a third image of RC and TC; cropping a styled TC image from the third image using the font mask of TC; providing the styled TC image to a client device.

The invention relates to the field of character recognition systems, and discloses a Chinese ancient book character recognition method based on an image recognition technology, which comprises the following steps: reading an ancient book image according to an open source code computer vision library to obtain an original image; performing gray processing on the original image to obtain an image after gray equalization; according to a median filtering algorithm, carrying out de-noising processing on the image after gray scale equalization to obtain a pre-processed image; according to the method, multi-level feature extraction is carried out on the image through the real-time multi-scale detection model and the convolutional neural network, and character features of different scales and angles in the image can be captured; and therefore, the character recognition accuracy is improved, especially for the common font, typesetting, inclination or blurring conditions in ancient book images.

The invention discloses an intelligent completion code optimization method based on texture pre-rendering and multi-level cache, which comprises the following steps of: pre-establishing a grammar rule set and a GPU cache characteristic database, storing a grammar style sheet when a code editor is started, generating a font image set and loading current GPU cache parameters; after a candidate code segment list pops up through intelligent completion, dividing candidate code segments into data blocks, analyzing syntax types, determining character styles, and generating candidate code segment textures through instantiation rendering and a fragment shader; according to the current GPU cache parameter, the selected priority of the candidate code segment and the compressed volume, the texture is distributed to a first-level buffer, a second-level buffer or a global video memory according to a rule, and metadata is recorded and added into a global texture cache table; and after the user selects the candidate code segment, reading texture data from the corresponding GPU buffer, calculating a display coordinate by combining a cursor row and column index, an editor basic style parameter and a DPI scaling, completing texture rendering and drawing, and realizing optimized display of the intelligent completion code.

The invention discloses a chapter-level Chinese ancient book image restoration method and related equipment, and belongs to the field of ancient book restoration. The method comprises the following steps: acquiring ancient book images, and screening out intact ancient book images and damaged ancient book images; for an intact ancient book image, simulating damage in a random mask mode, and constructing a training data pair; for the damaged ancient book image, marking the position of the incomplete character, and determining the specific content of the incomplete character; constructing a repair model based on the diffusion model, and training the repair model; and using the trained model to gradually realize the restoration of the chapter-level ancient book image in the form of an overlapped sliding window in an autoregression mode. According to the method, on the basis of the damaged positions and the damaged text content of the ancient books marked by human experts, the diffusion model technology is adopted, an autoregressive restoration method is combined, automatic restoration of the chapter-level damaged ancient book image is achieved, and the overall consistency of the font style and the background is effectively kept in the restoration process.

The invention discloses a PDF (Portable Document Format) document structured extraction system based on a multi-modal language model, belongs to the technical field of document processing and optical character recognition, and aims at solving the technical problem of how to improve the existing OCR (Optical Character Recognition) technology to improve the analysis capability of a complex document structure and improve the recognition precision of handwritten forms and other non-standard fonts. According to the technical scheme, the system adopts a layered decoupling architecture and comprises an input layer, a preprocessing layer, a reasoning layer, an output layer and a monitoring and fault-tolerant module; wherein the output layer is used for multi-source data access and path management to realize a local file system or S3 cloud storage; the preprocessing layer is used for invalid document filtering and visual feature extraction; the reasoning layer is used for multi-modal model interaction and content processing; the output layer is used for outputting a content aggregation result; and the monitoring and fault-tolerant module is used for realizing real-time state monitoring, resource consumption analysis and exception handling.

The invention relates to the technical field of UI design, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a font rendering optimization method, device, equipment and medium. The font rendering optimization method comprises the following steps: identifying position coordinates of a target character in a document object structure and determining a context environment type of the target character and a view area range where the target character is located; generating a font file request based on the target character and the context environment type, obtaining an adaptive font data packet, inputting a rendering model matched with the context environment type, establishing a binding relationship with the view area range, monitoring a display state change event of the view area range, and triggering a font resource updating operation according to event parameters. And obtaining incremental font data and configuring the incremental font data to font rendering parameters of the rendering model. According to the method, the character context environment and the view area state change are combined, the font data corresponding to the target character are requested and loaded on the client according to needs, and refined distribution and real-time updating of font resources are achieved.

The invention provides a calligraphy work automatic identification and evaluation method and system, and the method comprises the steps: collecting calligraphy pattern images of different calligraphers, fonts and styles, and forming a multi-dimensional labeling original data set; carrying out standardization processing on the acquired calligraphy images; extracting stroke-level manual statistical features by using edge detection and contour analysis based on the standardized sample, extracting high-dimensional deep features by using a convolutional neural network, and fusing to form a unified multi-dimensional style feature vector; and performing unsupervised clustering on the fusion feature vectors of all the samples, and establishing a high-dimensional style prototype library. Obtaining a multi-dimensional similarity vector of a newly input calligraphy image; performing semantic unification processing on the new sample; and performing real-time scoring output on the new sample by using the exclusive evaluation model. The method can efficiently and accurately identify and evaluate the calligraphy work, is high in adaptability, and can be widely applied to the fields of calligraphy teaching, calligraphy work evaluation, digital calligraphy management and the like.

In one aspect, a computerized method of automatically generating suggestions for a graphic design using a one click virtual button using an artificial-intelligence (AI) assistant for generating one or more contextually relevant graphics designs includes the step of receiving a digital design in a digital design tool. The digital design tool comprises the one click virtual button using the AI assistant for generating the one or more contextually relevant graphic designs. The method includes the step of detecting an event trigger for the one click virtual button. The method includes the step of with the AI assistant. The AI assistants operations includes determining and suggesting a set of alternate background images for the digital design, determining and suggesting a set of alternate font types, determining and suggesting a set of color replacements, determining and suggesting a set of alternate layout suggestions of multiple elements in the scene, determining and suggesting a set of icon replacements, determining and suggesting a set of graphs and chart replacements, determining and suggesting a set of resizes of the digital design, and determining and suggesting a set of alternate collage configuration. The method includes the step of enabling a user to selection at least of the as a user selection. The method includes the step of integrating the user selection into an updated version of the digital design. The method includes the step of displaying the updated version of the digital design in the digital design tool.

Apparatuses, methods, and systems for a computer-implemented method for electronic message generation are disclosed. One method includes receiving, by a server, an input description from a user, scraping, by the server, characteristics of other electronic messages of the user including at least colors and fonts, generating, by the server, N message sections based on the input description and the scraped characteristics, applying, by the server, colors, fonts, and designs to the generated N message sections, filtering, by the server, the generated N message sections to eliminate message sections that include pre-identified undesired characteristics, displaying, by the server, the filtered electronic message sections to the user, and receiving, by the server, feedback from the user regarding the displayed filtered electronic message sections.

The invention relates to the technical field, in particular to an AI classroom teaching quality evaluation method and system based on image recognition, and the method comprises the steps: obtaining a test paper RGB image and structured metadata, and generating multi-modal input data through graying, denoising and affine transformation; dynamically adjusting the weight through a double-branch feature extraction network (CNN + ViT), and extracting the global structure of the printed form and the local detail features of the handwritten form; generating a mixed font segmentation mask by using space attention, channel attention and dynamic routing regulation; optimizing handwritten answer recognition in combination with an educational knowledge graph; and fusing the answer expression and the attention data to generate a teaching quality evaluation report. The system comprises a data acquisition unit, a preprocessing unit, a feature extraction unit, a segmentation unit, an identification verification unit and an evaluation unit. According to the scheme, the accuracy of character segmentation and recognition in a mixed font scene is improved, and data support is provided for precise teaching in an education scene.

The invention provides a teaching document anti-copy protection method and system based on OCR interference resistance, and belongs to the technical field of information security and digital copyright protection. According to the method, anti-OCR font processing is applied to document characters, invisible disturbance symbols are inserted between characters or paragraphs, watermark information is embedded in document typesetting or font strokes, and finally a standard PDF or DOCX file is compiled. Watermark information is embedded through stroke thickness change, paragraph row spacing indentation perturbation and other modes. The system comprises a font disturbance module, a character disturbance module, a watermark embedding module, a compiling output module and a verification module. According to the method, the human eyes can normally read the document, but messy codes or disorder can occur when the OCR tool extracts the document, and the document cannot be directly reused; meanwhile, watermark information cannot be stripped, so that leakage tracking is facilitated; and the output file keeps a standard format and is compatible with the existing office teaching process. The method is suitable for anti-copying protection of teaching documents, scientific research data, test papers, contract files and the like.

The invention discloses a multi-agent multi-modal table question and answer method and system based on a cognitive collaboration mechanism. The method and system are particularly suitable for extracting accurate information from a complex, unstructured or multi-modal data source and answering questions of a user. The system is composed of four core modules, namely a task ontology analysis agent, a multi-modal clue perception agent, a logic verification agent and an arbitration fusion agent, and the task ontology analysis agent, the multi-modal clue perception agent, the logic verification agent and the arbitration fusion agent are integrated by receiving user questions and multi-modal table input. The intelligent agents cooperate to complete the processes of keyword extraction, intention recognition, vision-text cross-modal analysis, clue generation, logic verification, result fusion and the like, and an efficient cognitive closed loop is formed. The system not only supports operation on standard table data, but also can process visual clues such as complex header structures, cell merging modes, font styles and the like, so that the ability of understanding fuzzy or incomplete input is improved. Successful tests in a plurality of practical application scenes prove that the method has strong fault-tolerant capability and accuracy.

The invention discloses a font generation method based on edge enhancement and multi-scale style fusion. The font generation method comprises the steps of constructing a reference font data set, constructing a target font data set, dividing the data sets, constructing a font generation network, training the font generation network and testing the font generation network. A content encoder is used for extracting content features of reference characters, a style encoder is used for extracting style features of target style characters, and a wavelet transform multi-scale attention module is used in the content encoder, so that the capability of capturing font content structure details is improved; an edge attention enhancement module and a multi-scale style fusion module are fused in a style encoder, and style expression of font stroke edges and multi-level textures is enhanced; and a full-dimensional dynamic jump connection module is introduced into the decoder to realize geometric alignment and semantic fusion of jump connection. Compared with the prior art, the method has the advantages that strokes of the generated fonts are clear, the style reduction degree is high, and the method is suitable for multi-style font generation and has good practical value.

The invention provides a short play subtitle translation system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the system comprises a subtitle recognition module, an erasing module, a translation module and an output module, and can automatically recognize time information, position coordinates and visual style parameters of subtitles in a short play video. And generating a picture sequence without original subtitles in combination with the erasing processing, and translating the recognized original subtitle text into target language subtitles. The system generates target rendering parameters based on explicit style parameters and implicit style embedding vectors, realizes high restoration of fonts, strokes, shadows, gradient, transparency, textures and dynamic special effects, and performs adaptive adjustment according to target subtitle text features. Therefore, the visual consistency and culture adaptability of translated subtitles are improved in a short drama scene with complicated subtitle styles, frequent dynamic changes and obvious cross-culture differences, the audience impression is improved, and the manual post-processing workload is reduced.

The invention discloses a multi-channel integrated marketing contact content management system and method, and relates to the technical field of marketing contact content auditing, and the method comprises the steps: creating a plurality of marketing contacts in a unified management platform, and configuring a delivery channel; establishing a design specification rule base; receiving a marketing content picture uploaded by the user and associating the target channel with the contact; calling a rule base on the basis of a contact type, starting an AI auditing engine to carry out automatic compliance inspection on the picture, including preprocessing, layout identification, character extraction and character number statistics, font and character size identification, color identification and functional element detection, and comparing an identification result with a rule to generate an auditing result; and approving the delivery of compliant content and tracking the effect, and optimizing an AI engine and a rule base based on data. According to the method, AI intelligent auditing is embedded into the marketing content publishing process, multi-channel integrated management and intelligent auditing of the marketing content are achieved, the auditing efficiency and accuracy are remarkably improved, it is guaranteed that the content is standard and unified, and the labor cost is reduced.

A non-transitory computer-readable storage medium stores an application program which causes an information processing apparatus to perform a control method, the application program cooperating with an Internet Printing Protocol (IPP) Class Driver. The control method includes accepting a setting on conversion of a file to be printed, and, when a setting not to perform the conversion is accepted and a font used in the file to be printed is not embedded in the file to be printed, embedding the font.

In various embodiments, systems and methods for design-aware replacement font suggestions are provided. In some embodiments, a substitute font-suggestion algorithm holistically considers how the original string of text from the original layout appears when re-rendered in a same-sized text frame using a potential replacement font. In some embodiments, the substitute font-suggestion algorithm generates a first image of a text frame including the text string using the first font and generates a plurality of second images of the text string using candidate replacement fonts. A ranking of the candidate replacement fonts is generated based on computing a score for each of the individual second images that represents similarity between the first image and the individual second images. Based on the assessed similarities, a ranked listing of substitute font suggestions is displayed.

To provide a suitable game machine.SOLUTION: In a game in which a counter value regarding a difference between a used game value and an imparted game value restricts progress of a game if an operation value is reached when no control is performed to an advantageous state, and restricts progress of a game after completion of an advantageous state when an operation value is reached during control to an advantageous state, prior notification is performed when the counter value reaches a prior notification value, and operation warning notification is performed if the counter value reaches an operation value when control is performed to an advantageous state, the font of a character used for prior notification is the same as the font of a character used for operation warning notification, and the font of a character used for prior notification and operation warning notification differs from the font of a character used for error notification.SELECTED DRAWING: Figure 15-226

The invention provides a CAD drawing watching method and device supporting cross-platform font configuration, equipment and a medium, and belongs to the technical field of data processing. The CAD drawing reading method supporting the cross-platform font configuration comprises the following steps: receiving a drawing reading request sent by a front-end operating system; according to an image analysis algorithm, a CAD drawing corresponding to the drawing reading request is analyzed, drawing analysis information is obtained, and the drawing analysis information comprises text information; mapping fonts corresponding to the character information are selected from a built-in font library of a back-end server according to applicable operation platforms of the CAD drawing, and the built-in font library comprises mapping fonts applicable to different operation platforms respectively; and using the mapping font to render a CAD drawing, and sending a reading file corresponding to the CAD drawing to a front-end operating system. The problems of font missing, format incompatibility, rendering incompleteness and drawing information loss or deformation caused by platform incompatibility fonts in the drawing viewing process in the prior art can be solved.

The invention relates to the technical field of network information extraction, in particular to a visual webpage data crawling method and system based on a large model, and the method comprises the following steps: automatic browsing and screenshot, image preprocessing, OCR (Optical Character Recognition), multi-modal large model analysis, result fusion, large language model analysis, and data storage and output. The method has the beneficial effects that various picture or dynamic webpages can be handled through screenshot and multi-modal analysis, and dependence on a DOM (Document Object Model) structure is not needed; oCR and a multi-mode large model are complementary, and the extraction accuracy of data in different fonts, complex typesetting and charts is remarkably improved; a real browsing behavior is simulated and manual verification is combined, so that a common anti-crawling strategy can be effectively avoided; the large language model intelligently recombines page information according to Prompt, and the integrity and logicality of output data are guaranteed.

The invention provides a cross-font Chinese character recognition method based on structure embedding alignment, which aims at solving the problems of large stroke form change and strong structure variation of Chinese characters under different font styles, and comprises the following steps of: firstly, carrying out skeleton extraction on a character image and modeling into a topological graph structure with geometric attributes; extracting character graph embedding representation through a graph converter network comprising graph convolution, graph attention and a graph compression module; meanwhile, a structure tree corresponding to characters is constructed, a structure vector is generated by utilizing a structure embedding model, graph representation is supervised through structure consistency loss, and model learning is guided to have embedding features with structure stability and semantic consistency. According to the method, the recognition capability of the model for complex fonts, structural shielding and fuzzy characters is effectively improved, the structural understanding and generalization performance in a cross-font recognition task are remarkably enhanced, the problem that the recognition accuracy is reduced when font differences are large in an existing method is solved, and the method is suitable for various character image processing scenes.

The present disclosure performs image in-painting with controlled text generations to overcome the challenges persisting in traditional diffusion-based methods, especially when it comes to generating textual content within the image with complex font attributes. In the present disclosure, initially, an input image and a textual prompt and a plurality of control parameters are given as input to the present disclosure. Further, character mask and conditional mask are extracted based on the inputs. Finally accurate customized textual images are generated based on the character mask and the conditional mask using a textual image generating diffusion model. The textual image generating diffusion model generates an intermediate image based on the input image and the random gaussian noise. This intermediate image is iteratively refined to generate a latent vector image, and the accurate customized textual image is generated from the latent vector image using a trained customized character map-guided consistency model.

An example method for pre-processing documents includes receiving, by a computing device, an initial document in digital format. The method includes detecting, by the computing device and based on a computerized analysis of the initial document, one or more attributes of the initial document. The one or more attributes may include a font detail or a vector graphics, or both. The method includes generating, by the computing device and based on the detected one or more attributes, a hierarchical structure associated with the initial document, the hierarchical structure interconnecting one or more components of the initial document. The method includes transforming, by the computing device and based on the hierarchical structure, the initial document to a modified document, wherein the modified document comprises one or more navigable links that facilitate computerized navigation of the hierarchical structure. The method includes providing, by the computing device, the modified document.

Methods, system, and apparatus, including computer programs encoded on a computer storage medium. for generating fonts. In one aspect. a method comprises generating glyphs for one or more fonts using an adaptive refiner model.

The embodiment of the invention provides a dynamic rendering adaptation method and system which are applied to a target operating system, and the method comprises the following steps: obtaining environment detection information of the target operating system; selecting a rendering back-end engine according to the environment detection information; carrying out compatibility processing on a graphic driver according to the rendering back-end engine; adjusting point setting and font display of each inch according to the graph driver after compatibility processing; a dependency library is loaded to adapt the rendering back-end engine and the operations of the per-inch point setting and the font display. According to the embodiment of the invention, different rendering back-end engines can adapt to different drive support capabilities and session types, so that the possibility of compatibility conflicts is reduced. And the influence of insufficient driving on the rendering effect is reduced by pointedly processing the compatibility problem of graph driving.

The embodiment of the invention provides a method for determining a document reading sequence, electronic equipment and a storage medium. The method for determining the document reading sequence comprises the steps of obtaining a target document; extracting a first visual feature of a document image corresponding to the target document; obtaining first position information of each text region in the target document, wherein each text region is obtained by performing layout analysis on the target document; and determining a reading sequence of each text region according to the first visual feature and the first position information. The visual features of the target document comprise important information used for determining the reading sequence, such as font styles, colors, backgrounds, lines and the like, the reading sequence of each text region can be analyzed more accurately by combining the first visual features and the first position information of each text region, the generalization ability is higher, and the method can adapt to various complex documents.

The embodiment of the invention discloses an image processing method and an image processing device. According to the image processing method and the image processing device, an initial image needing to be processed, a processing area of the initial image and a target character needing to be presented in the processing area are obtained, style attributes of characters in the area except the processing area are determined, and target font characteristics of the target character displayed according to the style attributes are extracted; the initial image is drawn in the processing area according to the target font features, target characters with the character style attributes of the area outside the processing area are obtained, the drawn target characters cover original characters in the processing area, and the style attributes of the drawn target characters are the same as those of characters which are not modified in the initial image; according to the method, the existing characters in the initial image are modified, the modified characters and the overall style in the initial image are unified, the modification trace between the modified characters and the unmodified parts is eliminated, and the watching feeling of a reader on a new image is improved.

The invention relates to a confused text recognition method and device, electronic equipment and a storage medium, and the method comprises the steps: extracting a target font file URL address from to-be-recognized webpage content, obtaining a target font file pointed by the target font file URL address, obtaining a target mapping table corresponding to the target font file, and carrying out the recognition of a confused text in the target font file, and decoding the confused text according to the target mapping table to obtain a target text corresponding to the confused text. According to the mode, the font files of different platforms can be dynamically tracked and obtained, the confused texts in the font files are recognized in real time, meanwhile, the recognition efficiency of the confused texts is improved, and the hardware cost is reduced.

The invention discloses a table handwritten information identification method and device and electronic equipment. The method comprises the following steps: acquiring to-be-recognized table handwritten information; the table structure of the table handwritten information is determined, the table structure is corrected according to a preset table correction rule to obtain a target table structure, and the preset table correction rule is used for correcting abnormal table cells in the table structure based on the rule that adjacent table cell vertexes are shared, the same column of table cells are the same in column width, and the same row of table cells are the same in row height; determining a textbox where text content in the table handwritten information is located, and adjusting the textbox according to a relative position relationship between the textbox and cells in the target table structure to obtain a target textbox; and recognizing the text content in the target textbox to obtain a text recognition result. According to the method and the apparatus, the technical problems of low recognition efficiency of diversified handwritten table information, incapability of adapting to position changes of handwritten fonts inside and outside cells and instable character spacing among the cells in related technologies are solved.