20 results about "Character group" patented technology

A control portion recognizes, as an independent character region, a region of which the absolute value of the difference between the width in a first direction, which is the writing direction, and the width in a second direction, which is orthogonal to the first direction, is smaller than a first threshold value, and checks, based on the width in the first direction of a reference region that is a character region adjacent, in the second direction, to a plurality of independent character regions aligned in the first direction but that is not an independent character region, whether a character string composed of characters in the plurality of independent character regions is one word. On judging it to be one word, the control portion deals with the character string resulting from uniting the characters in the plurality of independent character regions as one word.

The application provides a special-shaped character detection and recognition method, system, device and storage medium, and relates to the field of special-shaped character detection and recognition.The method comprises the following steps: (1) constructing a training set based on an existing product image, and importing the training set into a rotating target detection model for training; (2) inputting a product image to be detected into the trained rotating target detection model to output string information M of different regions in the product image to be detected; and (3) based on the string information M of different regions, adopting an optimal combination algorithm to combine characters in front and back, and forming a plurality of independent strings.The application uses a rotating target detection model for character recognition, and adopts an optimal combination algorithm for character combination on the basis of character recognition, and then detects special-shaped strings on medical devices and other products.The application solves the problem of low character detection accuracy caused by irregular string shapes in a complex scene.

The invention discloses a character rendering method for character combination frequency priority and texture splicing processing. The method comprises the following steps: collecting character combinations in a rendering scene and counting the occurrence frequency of the character combinations; the method comprises the steps of generating bitmap data of a single high-frequency character of a high-frequency character combination according to the high-frequency character combination, pre-splicing the bitmap data of the high-frequency character according to character position information to generate a large texture data graph, preferentially creating a texture object of the high-frequency character combination and storing the texture object in a video memory, calculating and storing texture coordinates of the high-frequency character combination during texture loading, and establishing a mapping relation between the high-frequency character combination and the texture coordinates thereof; carrying out generalization processing on the low-frequency character combination; and based on the loaded high-frequency splicing texture and the dynamically loaded low-frequency texture, finishing drawing of the character combination in combination with texture coordinates. The number of times of texture binding, switching and drawing in character rendering is reduced, and the character rendering efficiency and system performance of a display system are improved.

This invention discloses a method for recognizing pointer-type instrument dial information based on object detection, comprising: 1) extracting scale digits and pointer information from the instrument dial image using an object detection network; 2) performing non-maximum suppression processing on characters with different labels; 3) dividing adjacent individual characters into character groups to be fused; 4) generating scale digit information based on the individual character information within the character groups to be fused; 5) estimating the pointer rotation center point using the scale digit information; 6) applying an improved adaptive Hough transform line detection method to the pointer region to fit the line where the pointer is located; and 7) calculating the coordinates of the pointer tip based on the pointer rotation center point and the line where the pointer is located. This invention utilizes an object detection network, which can establish complete dial information based on each individual character, and adaptively analyze the pointer region to obtain pointer information. It has good versatility, detection speed, and accuracy, and can effectively improve the performance of instrument reading algorithms.

The invention relates to a control method, device and equipment of an intelligent door lock and a storage medium. The intelligent door lock comprises a plurality of key character groups, each key character group comprises a plurality of key characters, the positions of the key characters are represented by character arrangement, different key character groups correspond to different display areas, and the method comprises the following steps: in response to an unlocking request operation of a user, determining a target key character group from the key character groups, the target key character group is selected, the target character arrangement of the target key character group is determined, the target character arrangement is different from at least one historical character arrangement, and the historical character arrangement is the character arrangement historically presented by the historically displayed key character group; and in a display area corresponding to the target key character group, displaying the target key character group according to the target character arrangement. According to the embodiment of the invention, the risk that a correct password is cracked by an attacker can be reduced, and the user experience can be improved due to the fact that multiple virtual passwords do not need to be input.

This invention provides a method and apparatus for Manchu speech synthesis based on character component modeling, belonging to the field of speech synthesis technology. The method includes: converting Manchu text into Latin characters according to transcription rules, generating a character embedding sequence, and generating feature templates containing dimensions such as fundamental frequency and pitch band based on the acoustic characteristics of Manchu pronunciation; concatenating the two templates into a high-dimensional input tensor, which is then fed into a pre-trained duration prediction network; constructing a mask, extracting prosodic features from the Manchu Latin-transcribed character embedding sequence to generate a prosodic vector, and adjusting the attention weights between characters and speech frames in the pre-trained feature network to obtain the prosodic space, Mel-spectral sequence, and optimal alignment path; finally, inputting the vector into a lightweight multi-band inverse short-time Fourier transform decoder for Manchu to obtain a complete synthesized speech waveform. This invention can significantly and effectively solve the core problem of text-speech frame matching deviation in low-resource Manchu scenarios, and its inference speed is significantly improved compared to general models.

An information processing method, device, equipment, storage medium and program product are disclosed, the method comprising: obtaining a to-be-detected target sentence of a user, the to-be-detected target sentence being composed of multiple characters; determining corrected characters according to the multiple characters through an error correction model; the error correction model being obtained by training a pre-trained language model, a semantic aggregation layer network and a classifier, the pre-trained language model being used to generate character vectors, the semantic aggregation layer network being used to generate error correction vectors according to the character vectors, and the classifier being used to generate the corrected characters according to the error correction vectors; wherein the corrected characters compose a corrected sentence, which is used to support voice interaction with the user. The present application can solve the problem of complex processing and low accuracy of error detection in the prior art voice error correction method.

The invention provides a moire removal method and device for an image, a medium and electronic equipment, and the method comprises the steps: carrying out the preprocessing and recognition of a to-be-removed image through employing an OCR recognition technology, and precisely positioning the position and type of each target character. And according to the distance between the adjacent target characters, reasonably grouping the target characters to form a target character group. The moire pattern influence areas are accurately positioned in a grouping mode, a proper moire pattern removing algorithm is used in a targeted mode, unnecessary transition blurring of the whole image is avoided, and the detail definition of the areas which are not influenced by moire patterns is reserved. Therefore, compared with an existing scheme, the moire removal effect is more accurate, and the problem that the moire removal effect of the image in the existing scheme is poor is solved.

The invention provides a full-language speech synthesis method and device based on character component modeling, and relates to the technical field of speech synthesis. The method comprises the following steps: converting Manchu into Latin characters according to a transcription rule, generating a character embedding sequence, generating a feature template containing dimensions such as a fundamental frequency and a pitch band based on full-language pronunciation acoustic characteristics, splicing the feature template and the feature template into a high-dimensional input tensor, and sending the high-dimensional input tensor into a pre-training time length prediction network; constructing a mask, extracting rhythm-related features from a character embedding sequence of Manchu Latin transcription to generate a rhythm vector, adjusting attention weights of characters and voice frames in a pre-training feature network to obtain a rhythm space, a Mel spectrum sequence and an optimal alignment path, and finally inputting the rhythm space, the Mel spectrum sequence and the optimal alignment path into a full-language lightweight multi-band inverse short-time Fourier transform decoder. And a complete synthetic voice waveform is obtained. According to the method, the core problem of text and voice frame matching deviation in a full-language low-resource scene can be obviously and effectively solved, and the reasoning speed is obviously improved compared with a general model.

The application discloses an audio-based device network configuration method and system, a storage medium and an electronic device. The method comprises the following steps: obtaining first network configuration information to be transmitted to a device to be configured, the device to be configured being a device to be configured, and the first network configuration information being a to-be-transmitted character sequence, each to-be-transmitted character being a preset character in a preset character group; selecting a target frequency group from a plurality of preset frequency groups corresponding to the preset character group according to the noise frequency of the current environmental noise, the frequency segments corresponding to different preset frequency groups being non-overlapping, and different preset characters corresponding to different preset frequencies in each preset frequency group; generating an audio signal corresponding to each to-be-transmitted character according to a target frequency corresponding to each to-be-transmitted character in the target frequency group in the to-be-transmitted character sequence; and playing the audio signal corresponding to each to-be-transmitted character in sequence through an audio playing component to transmit the first network configuration information to the device to be configured.

The invention relates to the technical field of computer vision and optical character recognition, and discloses a clustering-based character component matching method and system. The character component matching method based on clustering comprises the following steps: performing optical character recognition processing on a to-be-processed image to obtain a plurality of characters; the method comprises the following steps: firstly, performing spatial clustering processing on all characters to obtain at least one initial space group, and then performing angle clustering processing on the characters in each initial space group to obtain at least one character subgroup; performing projection reconstruction on the character subgroup, and determining the arrangement sequence of all characters; sorting all the character subgroups according to the sorting sequence of all the characters to obtain an ordered character string sequence; according to the method, the discrete OCR recognition result is reconstructed into an ordered character string sequence by combining double clustering with a dynamic projection reconstruction technology, so that the character sequence reconstruction accuracy and the automation degree are effectively improved.

The invention provides a license plate number recognition method, device and equipment based on an entity extraction technology, and the method comprises the steps: carrying out the structural processing of a first text, so as to obtain a second text, and enabling the first text to be obtained through the text transliteration of a call record between a seat and a customer; character recognition and replacement are conducted on to-be-processed characters in the second text on the basis of a preset mapping dictionary to obtain a third text, the preset mapping dictionary is used for indicating the mapping relation between the to-be-processed characters and the target form characters, and the to-be-processed characters are homophonic characters or Chinese form numeric characters; the target form characters are determined based on license plate number naming rules; and performing matching processing on the third text based on a first regular expression to identify and determine a target character group, the first regular expression being constructed based on a license plate number naming rule. Therefore, the homophonic characters or Chinese-form numeric characters in the text can be effectively processed, so that the accuracy of license plate number recognition is effectively improved.

To provide an image processor, an image processing system, an output device, an image processing method, and an image processing program for improving the character recognition accuracy of a character string including a small-sized handwritten character.SOLUTION: The image processing apparatus 1 includes an acquisition processor 111 that acquires character image data, a character string extraction processor 112 that extracts a character string rectangle corresponding to a character string composed of a plurality of characters from the character image data, a one character extraction processor 113 that extracts a plurality of one character rectangles respectively corresponding to the plurality of characters from the character image data, a correction processor 114 that corrects a specific one character rectangle when the plurality of one character rectangles include the specific one character rectangle in which at least one of a position and a size satisfies a predetermined condition, and a recognition processor 115 that executes character recognition processing of the character string using the specific one character rectangle corrected by the correction processor 114.SELECTED DRAWING: Figure 1

Embodiments of the present application provide a processing method and device, electronic equipment and storage medium, the method comprising: obtaining a multimedia file; parsing the multimedia file through a media player to play the multimedia file; parsing the multimedia file through the media player to generate a progress bar for the multimedia file, the progress bar being used to indicate a time index of the multimedia file, the progress bar comprising a plurality of target regions, the plurality of target regions being continuous regions; each target region comprising a target character group, each target character group comprising at least one character, the target character group being related to the content of the time interval of the multimedia file in which the target character group is located.

The invention relates to the technical field of computers, and discloses a character verification and error correction method and system, electronic equipment and a storage medium, and the method comprises the steps: recognizing to-be-edited content, and obtaining a first recognition result and a second recognition result; all the characters are clustered according to character types, and the mainstream character width of each type of characters is calculated; selecting characters with the highest confidence coefficient to form a first initial character string and a second initial character string, calculating an editing distance between the first initial character string and the second initial character string, processing the characters according to an editing distance operation sequence to obtain a preliminary verification result character string, and calculating the confidence coefficient for each character; and performing semantic analysis verification and error correction on the characters with confidence lower than a set threshold in the preliminary verification result character string to obtain a final verification result character string, and distinguishing the characters in the final verification result character string based on a set confidence threshold. According to the invention, the efficiency and accuracy of character verification and error correction can be improved.

A text recognition method of the present application comprises: obtaining a target picture containing to-be-recognized text; generating a character detection box for each to-be-recognized character in the target picture through a preset character detection model; selecting a plurality of character detection boxes to form a character matrix according to a preset matrix row and column number; reading the to-be-recognized characters in the character detection boxes as matrix characters in the character matrix, and combining the matrix characters to form a plurality of detection word groups based on different text reading directions; inputting the detection word groups into a preset language model, and performing semantic recognition on each detection word group through the language model to obtain semantic parameters; obtaining text probability parameters corresponding to different text reading directions according to the semantic parameters, taking the text reading direction with the largest text probability parameter as a target reading direction, and performing text recognition on the to-be-recognized text according to the target reading direction, thereby improving the accuracy of text recognition.

The application provides a network intrusion detection method, device, equipment and medium, identifies a character group containing a preset symbol in a to-be-detected traffic request, and determines a target sentence type corresponding to each character group according to the preset symbol or preset symbol pair contained in each character group and the sentence type corresponding to the preset symbol or preset symbol pair, thereby improving the efficiency of network intrusion detection; for the character group of each target sentence type, whether the character group contains malicious characters is determined according to the characters contained in the character group and the malicious characters corresponding to the target sentence type and pre-stored, if any character group contains malicious characters, the traffic request is determined to be a network intrusion request, thereby improving the efficiency and accuracy of network intrusion detection.

This invention discloses a data display method, apparatus, electronic device, and storage medium, relating to the field of data processing technology. The data display method includes: acquiring a message to be processed; performing message validity verification on the message to be processed; wherein the message to be processed includes a character data area, a frame number control area, and a verification area; when the message validity verification passes, performing data frame concatenation on the message to be processed according to the frame number control area and preset packet assembly rules to obtain a character data sequence; determining the character type according to the character data sequence; parsing the character data sequence according to the decoding rules corresponding to the character type to obtain a target character; combining the target characters to obtain text to be displayed; and displaying the text to be displayed in a designated area of ​​the display device. Embodiments of this invention support mixed display of characters of different character types, avoiding parsing errors and flexibly adapting to the text display needs of different scenarios.

The application discloses a kind of similar trademark detection model construction method and similar trademark detection method, model construction method includes: the character group of target trademark is converted into picture, target data group is constructed based on picture, target quantity is obtained;Modeling sample trademark set is constructed, modeling sample trademark character group is converted into picture, to-be-measured data group is constructed based on picture, to-be-measured quantity is obtained;The absolute difference of target quantity and to-be-measured quantity is obtained, based on absolute difference less than target value, feature data is obtained, based on feature data, whether modeling sample trademark and target trademark are similar is determined, similar, the label value of modeling sample trademark is set to 1, otherwise label value is set to 0, based on absolute difference greater than or equal to target value, label value is set to 0;Each modeling sample trademark is divided into training set and test set, and label value in test set is set to unknown, and similar trademark detection model is constructed based on training set and test set.The detection process is simple, and accuracy is high.

The invention discloses a method and terminal for generating a virtual case in an inference game, and the method comprises the steps: obtaining different virtual sample cases, and building a case scene database, a case character database and a character behavior and motivation database according to the different virtual sample cases; after a virtual case generation instruction of a game client is received, selecting a target case scene from the case scene database, selecting a target case character composition from the case character database, selecting a target character behavior and an incentive from the character behavior and incentive database, and integrating to obtain a case framework; generating a case story and a player interaction mechanism corresponding to the case framework, and integrating the case story, the player interaction mechanism and the case framework to obtain a final case; and presenting the final case on the game client. According to the method, the attraction of the reasoning games to players is improved, and the data storage pressure of the reasoning games is relieved.