13 results about "Single character" patented technology

This application provides a text-image matching method, an electronic device, and a storage medium, relating to the field of data processing technology. In this method, text is first acquired; then, the text is segmented to obtain segmentation results including single characters and phrases, where a phrase includes at least two single characters; next, the feature vectors corresponding to single characters are determined using the first embedding module of a pre-trained text encoder, and the feature vectors corresponding to phrases are determined using the second embedding module of the same text encoder; the first and second embedding modules are trained at different stages; subsequently, the feature vectors corresponding to single characters and phrases are encoded to determine the text semantic vectors corresponding to the text; finally, text-image matching is performed based on the text semantic vectors. This improves the accuracy of text-image matching and effectively enhances the user experience.

The application discloses an intelligent display voice-to-text method and system and a medium, and the method comprises the following steps: when an audio and video file is captured, the audio and video file is converted into text; each sentence of text is segmented according to a pre-agreed punctuation mark to obtain segmented sentence text information; a pre-established dictionary table is searched; if historical data corresponding to the segmented sentence text information is found in the dictionary table, a corresponding previously combined text paragraph is obtained from the dictionary table; the text paragraph is rendered; single characters in the rendered text paragraph content are processed according to sensitive words, forbidden words or search words; and the processed single characters are synchronized with the text paragraph on a page for display. Through the application, a user can quickly find out where a violation is located, and can also quickly jump to a corresponding progress for manual auditing to confirm whether a problem exists, thereby greatly reducing the workload of the user for compliance processing.

This invention belongs to the field of graphic data processing technology, and particularly relates to a method and system for quality inspection of engraved characters on mold surfaces. The method includes identifying single characters on an image to be inspected, constructing a sequence of characters to be inspected, comparing the content of the character sequence to be inspected with a standard character sequence to obtain a comparison result containing information on multiple engravings, missing engravings, and incorrect engravings; extracting the outline of each single character on the image to be inspected, registering the corresponding standard character outline to the outline to be inspected, constructing a tolerance band, calculating the difference between all outlines to be inspected and their corresponding tolerance bands, and summarizing the results to obtain the character defect detection result; and using the character sequence content comparison result and the character defect detection result together as the overall quality inspection result for engraved characters on the mold surface. This invention can simultaneously determine whether there are multiple engravings, missing engravings, incorrect engravings, and whether the character outline structure meets quality requirements; it can be flexibly adjusted according to different tolerance requirements and can locate the defect position on a single character.

This invention discloses a method and apparatus for real-time writing direction determination based on single-character stroke features. The method includes: acquiring a sequence of coordinate points of a stylus on a whiteboard in real time; calculating a feature set representing the writing features of a single character based on the coordinate point sequence; calculating a horizontal comprehensive score by weighting the feature set; calculating a vertical comprehensive score by weighting the reciprocals of each feature in the feature set; and determining the writing direction of the stylus based on the horizontal and vertical comprehensive scores to obtain a determination result. This invention proposes a method and apparatus for real-time writing direction determination based on single-character stroke features. It calculates a feature set and calculates a weighted score based on the single-character stroke features in real time to determine the writing direction, without relying on multi-character layouts, thus avoiding response delays at the source and enabling independent and effective recognition of single characters. Therefore, it can solve the problems of response delays and single-character recognition failures caused by existing technologies that rely on multi-character layouts to determine writing direction.

Embodiments of the present application disclose a kind of unsupervised training method of character recognition model and related equipment.The method comprises: obtaining original image, and the original image is the image containing character;Mask processing is carried out to part of pixel of original image, and mask image is obtained, and the mask image contains pixel masked area and pixel unmasked area;Mask image is input into neural network model, and the information of character of pixel masked area is predicted based on the information of character that pixel unmasked area has using neural network model, and prediction result is obtained, wherein, the information of character is the information of partial structure with single character and / or the information of several complete characters, or the information without character;Based on prediction result and the original image, the parameters of neural network model are updated.The present application solves the technical problem that existing unsupervised character recognition cannot finely learn the structure information of single character.

The application relates to a character information correction method and device, a storage medium and electronic equipment. The method comprises the following steps: obtaining text content and spatial coordinate information of each text region in a target micro-drama picture, clustering all the text regions based on spatial distance relationships, and obtaining a first character identification result; inputting the target micro-drama picture into a visual large model to perform visual reasoning on the target micro-drama picture, and obtaining a second character identification result; comparing the first character identification result with the second character identification result, and performing verification processing on the second character identification result according to a comparison result, and obtaining a verified character identification result; in the case that the number of second character names is greater than the number of first character names, performing merging and deduplication processing on the verified character identification result according to the first character identification result, and obtaining a final character identification result. The application solves the technical problem that a large model is prone to misdivide single character information, thereby causing character identification errors.

A method includes comparing a first field of a first data record to a first field of a second data record to determine a first similarity metric based on a number of single character changes used to convert a value of the first field of the first data record to a value of the first field of the second data record and comparing a second field of the first data record to a second field of the second data record to determine a second similarity metric based on whether the second field of the first data record is identical to a value of the second field of the second data record. The method includes determining an aggregate similarity metric based on at least the first similarity metric and the second similarity metric and assigning the second data record to a calibration reliability group based on the aggregate similarity metric.

A real-time data analysis and context-aware anchor broadcasting method, device and medium, through the integration of multiple levels of technologies such as real-time game data acquisition, character behavior feature analysis, action event prediction, tactical intention inference, deep context model emotion calculation and natural language generation, not only can identify single character behavior, but also can understand the cooperative tactical relationship of multiple characters, and further combine the deep context model to generate time-continuous emotion indicators, so that the voice broadcast and expression rendering of the virtual e-sports anchor can be dynamically adjusted according to the game situation, improving the realism and immediacy of the broadcast, thereby achieving the technical effects of improving the ability to capture key tactical events, optimizing the continuity of virtual anchor emotion performance, and improving the immediacy of the broadcast.

This application provides a character recognition processing method and system for robots, relating to the field of character recognition. It solves the technical problems of existing technologies that use single characters as recognition objects and are easily interfered with by other non-character elements in the image, resulting in a still relatively high character recognition error rate. The method includes: acquiring a target image of the document to be recognized; removing redundant images from the target image and partitioning it to obtain a Region of Interest (ROI) map; inputting the ROI map into a character recognition model to obtain the recognized characters; and performing logical verification on the recognized characters based on a hierarchical dictionary to obtain the recognized text; wherein the hierarchical dictionary is a preset content dictionary. This application's segmentation of the target image into ROI maps reduces the recognition of characters by redundant images, and the character recognition model captures contextual relationships, further reducing the likelihood of character misrecognition.

This application relates to a method, system, and storage medium for recognizing characters on LED digital tubes, and pertains to the field of LED digital tube recognition technology. The method includes: acquiring an original image containing a digital tube display area; preprocessing the original image to select digital tube display areas that meet preset conditions; segmenting the digital tube display area into single characters to obtain at least one single-character image; extracting stroke feature vectors from the single-character images based on brightness distribution; recognizing the stroke feature vectors based on preset matching rules to obtain single-character results corresponding to at least one single-character image; and combining all recognized single-character results to obtain the character recognition result for the digital tube display area. Compared to existing technologies, this application can improve the recognition rate of displayed characters, provide robustness under ambient light interference, and ensure stable operation under low computing power and low storage hardware conditions.

This invention provides a method for determining character quality, comprising the following steps: inputting a single-character image to be inspected into a character classification and detection model for classification and detection, and obtaining classification and detection results; the character classification and detection model is used to identify the probability that the single-character image to be inspected belongs to different quality categories of each of a plurality of preset characters; determining the target preset character corresponding to the maximum probability value based on the classification and detection results; determining the probability of all quality categories related to the target preset character in the classification and detection results; and determining the character quality of the single-character image to be inspected based on the determined probabilities of all quality categories related to the target preset character. This invention overcomes the problems of high requirements for external conditions and high false detection rate of existing traditional algorithms.

The application discloses a Korean input method, an input device and an electronic device, and relates to the technical field of input methods. The Korean input method comprises the following steps: obtaining a Korean character input by a user; performing single-character processing on the Korean character based on the input sequence of the Korean character, determining combinations capable of forming a single character and characters incapable of forming a single character; directly decoding the combinations capable of forming a single character into single characters, and performing a completion operation based on the single characters and / or the characters incapable of forming a single character to obtain new candidate words and / or candidate characters. The application firstly establishes a Korean basic term model, performs character forming processing on Korean characters through a Korean maximum combination algorithm, expands single characters into word groups through the Korean basic term model, expands Korean characters into Korean single characters, and trains the Korean basic term model according to the last selection of a user, thereby providing more suitable expansion results for the user and improving input efficiency during input.