13 results about "English characters" patented technology

The present invention discloses a method for letter text recognition based on computer vision, including converting the acquired English character image into a binary image by a terminal; scanning the pixels of the image in sequence and recording the corresponding number of segments, the number of adjacent segments and the length of the segment; calculating the Euler number E of the image and classifying it; for character images with the same Euler number, judging the number of holes in the new image according to the number of segments at different positions of the character image, the ratio of the height to the width of the character image, and adding a straight line with the same foreground color at a specific width position of the image, and then performing letter recognition on the character image. The present invention adopts a method combining the Euler number of the image with the segment features at a specific height or width of the image and the ratio of the height to the width to realize simple and rapid recognition of letter images.

This invention provides a method for extracting and restoring Chinese and English text and Arabic numerals from Uyghur PDF documents. It utilizes PDFMiner to extract all element information from the PDF document, thereby extracting all text content. Then, all text is sorted line by line and formatted from right to left. All Chinese and English characters, Arabic numerals, and other text characters sorted from left to right are selected and then sorted again from left to right. Finally, all characters are inserted into a Word document according to their corresponding format, thus ensuring a higher degree of consistency between the reconstructed Uyghur document and the original document. This invention can automatically detect and extract characters represented from left to right in Uyghur PDF documents and then insert them into the corresponding positions in a DOCX file in a left-to-right order, thereby ensuring that the layout of the target document is as consistent as possible with the original document.

The application provides a mixed language text processing method and device, electronic equipment, medium and product, and relates to the technical field of natural language processing. The mixed language text processing method comprises the following steps: obtaining a mixed language text to be processed; separating a target English string from the mixed language text to be processed based on a preset language distinguishing rule; and performing recursive subword segmentation processing on the target English string based on a subword vocabulary to obtain a target English subword sequence. The application can improve the accuracy of mixed English text segmentation and the accuracy of English vocabulary generation.

The invention discloses a refined password structure generation method. The method comprises the following steps: inputting a password and identifying a special character string in the password; segmenting and marking the unmarked password according to the type to obtain a letter segment L, a number segment D and a symbol segment S; finely classifying the divided letter segments L; and obtaining a fine structure of the password according to a fine classification result. According to the scheme, the WordNet dictionary system is utilized to perform full-coverage semantic recognition and classification on the English character strings, the problem of insufficient model precision caused by semantic information loss in a traditional PCFGs password structure analysis method is solved, and a high-practicability refined structure representation and generation method is provided for password analysis.

The present invention discloses a password security assessment method, device, electronic device, and storage medium based on a probabilistic inference model. The method includes obtaining user password information and user personal information; processing the user personal information according to preset PII tag setting rules to obtain multiple user PII tags; identifying and matching the user password information based on the multiple user PII tags to determine the multiple user PII tags; obtaining the uppercase and lowercase English character combination types in the user password information; matching the multiple user PII tags and the uppercase and lowercase English character combination types with a preset probability tree to determine the corresponding feature probabilities; calculating the probability of guessing the user password information based on the feature probabilities; and calculating the number of guesses for the user password information based on the guess probabilities; and determining the password strength level of the user password information based on the number of guesses for the user password information. The present invention can achieve a more accurate assessment of password security.

The present application relates to the technical field of information query, and discloses a method for information query, including: obtaining query information, obtaining the character situation of the query information; the character situation is used to characterize the character type situation contained in the query information, and when the character situation is that the query information includes Chinese characters and English characters, the Chinese characters in the query information are converted into a pinyin string, a string to be converted is generated according to the pinyin string and the English characters in the query information, the string to be converted is converted into a first Chinese string using a preset character conversion model, and information query is performed according to the first Chinese string. The present application can convert non-standard query information into more standardized query information, so as to obtain the required query results more accurately. The present application also discloses a device, an electronic device and a readable storage medium for information query.

The invention discloses a password security assessment method and device based on a probability inference model, electronic equipment and a storage medium. The method comprises the following steps: acquiring user password information and user personal information; processing the personal information of the user according to a preset PII tag setting rule to obtain a plurality of user PII tags, and identifying and matching the password information of the user based on the plurality of user PII tags to determine the plurality of user PII tags; obtaining a capital and small case combination type of English characters in the password information of the user; matching the plurality of user PII tags and the English character capital and small case combination types with a preset probability tree, and determining respective corresponding feature probabilities; calculating the guess probability of the password information of the user according to the feature probability; calculating guessing times of the user password information according to the guessing probability; and determining the password strength level of the user password information according to the guess times of the user password information. According to the scheme, the password security can be evaluated more accurately.

An English spelling correction method encoding each English character of each input English word string and normalizing a corresponding encoding number to obtain an initial numbering array numeric, performing distance calculation and normalization on the encoding number to obtain an initial distance array numeric, using a number (n) of English characters in an input English word string to generate a feature map with a variable length, performing a one-dimensional convolutional neural network operation and a fully-connected layer on the feature map to generate a feature map, outputting the feature map by a bidirectional long short-term memory (LSTM) network and performing a fully-connected layer to generate a feature map, performing a probability recognition and outputting a probabilistic word string, recognizing the probabilistic word string and outputting an English spelling correction result.

The present application belongs to the field of Braille translation, and particularly relates to a Braille translation method and device based on rules and multi-task fine-tuning and a storage medium. The method comprises the following steps: obtaining Chinese corpus, constructing a Braille rule engine, and cleaning, segmenting, pinyin annotating and Braille transcribing the Chinese corpus to generate parallel corpus containing Chinese, pinyin, Braille sequence and component structure; extracting Braille word units and candidate meanings from the parallel corpus and rule files, constructing a rule priori library, adding Braille word units to a model segmenter, and initializing new word unit embedding with anchor points such as pinyin, Chinese characters, numbers, punctuation and English characters; constructing instruction samples of Braille to pinyin, component analysis, pinyin to Chinese and Braille to Chinese, and performing course multi-task fine-tuning on the priori enhanced model to obtain an optimized translation model. The present application can improve the accuracy of Braille translation, provide Braille component analysis function, reduce the cost of manual transcription and correction, and is suitable for reading assistance, teaching correction and text digitization.

The invention belongs to the technical field of VR text input, and discloses a self-adaptive VR text input method based on rocker operation, which comprises the following steps of: selecting two English characters from 26 English characters of a full keyboard as anchor characters; dividing the 26 English characters into two character sets based on the position relation between the full keyboard English characters and the anchor point characters; by taking the two anchor point characters as the circle centers of the rocker direction operation areas of the two VR controllers, mapping and arranging the rest English characters in the two character sets in different directions of the circumferences of the corresponding rocker direction operation areas so as to form a double-ring-shaped virtual keyboard; according to the double-ring-shaped virtual keyboard, rocker input logic is constructed, and the rocker input logic is used for mapping operation executed by a user on a rocker into a corresponding input result; the problems of low input efficiency, high fatigue degree and poor input accuracy caused by the fact that a user needs to accurately search and click keys on a virtual full keyboard during VR text input in the prior art are effectively solved.

This application provides a watermarking method, an electronic device, and a computer-readable storage medium, relating to the field of digital watermarking technology. The method includes: acquiring a file to be processed and a first watermark key; parsing the file to be processed to extract target text lines containing English characters; adjusting the text layout parameters of the target text lines according to the first watermark key to obtain adjusted layout parameters, the adjusted layout parameters including the target width of each English character in the target text line; and generating a target file with watermark information based on the adjusted layout parameters of the target text line, the watermark information being represented by the target width of each English character in the target text line. This application achieves invisible watermark embedding by modifying the width of English characters in the file to be processed, subtly encoding the watermark information into the character width, thus not affecting the readability and format compatibility of the file, while achieving an efficient and covert copyright protection mechanism.

The embodiment of the invention discloses an intelligent code optimization method and device, computer equipment and a storage medium. The method is applied to a code editor, a code optimization plug-in is installed in the code editor, and the method comprises the steps that a code editing interface is displayed, and to-be-optimized codes are displayed in the code editing interface; receiving a selection operation of a user for a first code snippet in the to-be-optimized code, and triggering a naming conversion function of the code optimization plug-in; extracting a to-be-converted identifier of the first code snippet through a preset AST parser in the code optimization plug-in, wherein the to-be-converted identifier is a Chinese character; converting the to-be-converted identifier into an intermediate character according to the context of the to-be-converted identifier through a language translation model, the intermediate character being an English character; performing naming standard processing on the intermediate character according to a preset naming rule to obtain a target character; and modifying the to-be-converted identifier in the first code snippet into the target character. By implementing the method provided by the embodiment of the invention, automatic conversion of the identifier names in the codes can be realized.

The application relates to a business semantic recognition method, which comprises the following steps: step S1, receiving an English character string and other context information of a to-be-recognized semantic; step S2, pre-processing the to-be-recognized field; step S3, segmenting the to-be-recognized field to obtain a plurality of segmentation schemes; step S4, for each segmentation scheme, using a transition probability matrix to calculate a probability score at a word segmentation point; step S5, for each word in the segmentation scheme, judging whether the word is a non-pinyin through a pinyin semantic DFA tree, and then performing one-by-one matching with a word entry in a word library and calculating a similarity score; step S6, taking a semantic of a word entry with the highest similarity score to calculate a correlation score between semantics of the whole matching scheme; step S7, extracting a matching scheme with the highest comprehensive score and splicing the matching scheme as a recommended label; and step S8, outputting a recommended Chinese business semantic and a recommendation index. The application improves the efficiency of metadata carding work.