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8327 results about "Chinese characters" patented technology

Chinese characters (simplified Chinese: 汉字; traditional Chinese: 漢字; pinyin: hànzì; literally: 'Han characters') are logograms developed for the writing of Chinese. They have been adapted to write a number of other Asian languages. They remain a key component of the Japanese writing system where they are known as kanji. Chinese characters constitute the oldest continuously used system of writing in the world. By virtue of their widespread current use in East Asia, and historic use throughout the Sinosphere, Chinese characters are among the most widely adopted writing systems in the world by number of users. Chinese characters number in the tens of thousands, though most of them are minor graphic variants encountered only in historical texts. Unlike an alphabet, a character based writing system associates each logogram with an entire sound and thus may be compared in some aspects to a syllabary.

License plate detection method based on convolutional neural network

The invention discloses a license plate detection method based on a convolutional neural network. The method specifically includes the steps that an Adaboost license plate detector based on Haar characteristics detects license plate images to be detected, license plate roughing regions are acquired, a convolutional neural network complete license plate recognition model recognizes the license plate roughing regions, a final license plate candidate region is acquired, the final license plate candidate region is segmented through a multi-threshold segmentation algorithm, license plate Chinese characters, letters and numbers are acquired, a Chinese character, letter and number convolutional neural network recognition model recognizes the license plate Chinese characters, letters and numbers, and then a license plate recognition result is acquired. License plate images under different conditions can be accurately recognized through the Adaboost license plate detector based on the Haar characteristics and the convolutional neural network complete license plate recognition model, meanwhile, characters are segmented through the multi-threshold segmentation algorithm, character images can be more easily and conveniently segmented, and the good effect is achieved in engineering application.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Method for recognizing license plate character based on wide gridding characteristic extraction and BP neural network

The invention discloses a vehicle license plate character recognition method based on rough grid feature extraction and a BP neural network. The method comprises the following steps: (1). preprocessing a vehicle license plate image to eliminate various interferences and obtain a minimum vehicle license plate region; (2). segmenting the vehicle license plate characters by combining vertical projection and a drop-fall algorithm; (3). screening the segmentation results to eliminate interferences of vertical frames, separators, rivets and the like; (4). normalizing the characters according to the position of a centre of mass; (5). taking each pixel of a normalized characters dot-matrix as a grid to extract the original features of the characters; (6). designing the BP neural network with a secondary classifier according to the situation of the vehicle license plate; and (7). reasonably constructing a training sample database to train the neural network, and adjusting the training samples by the recognition effect to realize accurate recognition of the network. The method effectively eliminates the noise interference, quickly and accurately segments the characters, steadily and effectively recognizes Chinese characters, and realizes the balance between real-time property and accuracy in the whole recognition course.
Owner:ZHEJIANG NORMAL UNIVERSITY

Automatic generation method for handwritten Chinese font library based on deep neutral network

The invention discloses an automatic generation method for a handwritten Chinese font library based on a deep neutral network. The method is characterized in that font characteristics are reconstructed through a small number of handwritten Chinese characters; a font style migration network is established; and font style characteristics of font forms not handwritten by a user are estimated throughthe font style migration network, font form contents of a reference font are combined with a handwriting style of the user to achieve migration to a target handwriting style, and target font form pictures are generated, so that the complete handwritten Chinese font library is obtained. The method provided by the invention has the advantages that the method is an end-to-end generation method, and high-quality Chinese font forms are generated without extraction of strokes or components of Chinese characters or manual intervention, so that the handwritten font library creation efficiency is greatly improved, the generation of a personalized font library becomes simple and convenient, the requirement of ordinary people for the personalized handwritten font library can be met, and the development progress of the personalized font library can be accelerated.
Owner:PEKING UNIV

Realization method and system for electronic medical record post-structuring and auxiliary diagnosis

InactiveCN106383853AGood effectSpecial data processing applicationsData setJaro–Winkler distance
The invention relates to a realization method and system for electronic medical record post-structuring and auxiliary diagnosis. A combination mode of multiple types of distance measurement is used: a character string editing distance refers to a minimum number of replacement, insertion and deletion operations required for converting a character into another character string; a Jaro-Winkler distance measures similarity between two character strings and is used for repeated recording detection; a geometric mean value of a Chinese character distance and a Chinese character input method is adopted as comprehensive similarity measurement for measuring similarity between characteristic texts; characteristic ranking is realized by using a TF-IDF method and is used for assessing the importance of characteristic terms relative to documents in a file set or a corpus library, and the importance of the characteristic terms is in direct proportion to an occurrence frequency in the documents and is in inverse proportion to an occurrence document in the corpus library; and files are converted to be in a file format of PU learning of a positive example data set and an unlabelled data set according to the generated characteristic terms, and through the PU learning, the system automatically recommends related diagnoses for clinical medical personnel to refer.
Owner:刘勇

Fingerprint identification device and method with prompt information

The invention discloses a fingerprint identification device and a fingerprint identification method with prompt information. The method comprises the steps of sampling a fingerprint grayscale image in a dot interlace mode, and representing a local texture direction of the dot interlace at each pixel point in the original fingerprint grayscale image by using a point direction map; dividing the point direction map into blocks, and dividing each block into a foreground block or a background block; calculating a ratio of the active area of the foreground map to the area of the whole image, performing image quality analysis if the active area meets the requirements, calculating a ratio of the advantage direction area to the fingerprint foreground area if each point in the foreground image block has direction advantages; performing finger arrangement position analysis if the image is preliminarily determined to be qualified; and if the finger arrangement position is inaccurate, performing finger position deviation analysis, and if the image is unqualified, performing fingerprint dryness / humidity analysis. When the fingerprint is not clear or the operation is improper, the Chinese character prompt information is adopted, the finger arrangement position deviation and finger dryness / humidity conditions can be accurately judged, and the success rate of fingerprint identification is improved.
Owner:JIANGSU CHAOCHUANG INFORMATION SOFTWARE DEV

Method for maintaining and modifying cross-screen writing stroke attributes in display wall positioning system

The invention relates to a method, which comprises: performing class encapsulation on each display unit of a display wall, and performing class encapsulation on lines drawn by a light pen each time; using data members to record general attributes such as stroke color, stroke thickness and the like of a certain display unit object in a display unit class, and arranging a line container inside the display unit to store the drawn lines; and judging the position of a coordinate point of a first stroke of a Chinese character first and then processing the stroke attribute according to the position of the coordinate point of the first stroke of the Chinese character under the condition of drawing a line from the first stroke of the Chinese character. The invention provides the method capable of supporting the arbitrary alteration of the attributes such as label and written stroke in a large-screen display wall system by people simultaneously. The invention not only can realize the maintenance and alteration of the attributes such as the stroke color and the stroke thickness of lines on the current screen but also can realize the maintenance of the stroke attributes of the lines in the whole display wall positioning system under the condition of cross-screen writing and labeling.
Owner:GUANGDONG VTRON TECH CO LTD

Electromagnetical ultrasonic thickness-measuring method

The invention discloses a method for detecting ferrous magnetic material thickness by utilizing electromagnetic ultrasound, and is characterized in that a magnet inside an electromagnetic ultrasound transducer takes a U-shaped permanent magnet, a coil takes a PCB double-layer coil that takes the shape of a Chinese character, 'Hui' and is positioned at an opening of the permanent magnet, and an effective lead part of the coil is parallel to the direction of a bias magnetic field. In thickness measurement, the electromagnetic ultrasound transducer is positioned on a detected object, high-frequency electric sinusoidal pulse current passes through the coil, according to the magnetostrictive effect, the detected object generates partial stretching deformation and oscillation, and consequently excites ultrasonic transverse wave and leads the ultrasonic transverse wave to spread downwards in a direction vertical to surfaces of the detected object. The ultrasonic wave is reflected by a lower surface of the detected object, and then the reflected wave is received by the coil. A received ultrasonic signal is collected and input into a computer after being amplified. If the ultrasonic wave spreading velocity in the detected object is v, and the spreading time is t, then the thickness of the detected object d is equal to a half of v multiplied by t. The method for detecting ferrous magnetic material thickness by realizing the thickness detection of ferrous magnetic materials, has the non-contact and couplant-free advantages, and can be used in high-temperature environment and for detecting materials with rough surfaces.
Owner:TSINGHUA UNIV

Chinese domain term recognition method based on mutual information and conditional random field model

The invention discloses a Chinese domain term recognition method based on mutual information and a conditional random field model. The Chinese domain term recognition method includes the following steps: (1) gathering domain text corpus and marking all the punctuations, spaces, numbers, ASSCII (American Standard Code for Information Interchange) characters and characters except Chinese characters in the corpus; (2) setting character strings and computing the mutual information values of the character strings, (3) computing the left comentropy and the right comentropy of every character string, (4) defining character string evaluation function, setting evaluation function threshold, computing the evaluation function values of every character string, determining that every character string is a word, comparing in sequence the evaluation function value of the former character with the evaluation function value of the latter character in the character string and segmenting character meaning character strings one by one, (5) utilizing conditional random fields to train a conditional random field model and recognizing domain terms with the conditional random field model. When the Chinese domain term recognition method is used to recognize terms, the data sparsity of legitimate terms is overcome, the amount of calculation of conditional random fields is reduced, and the accuracy of the Chinese domain term recognition is improved.
Owner:SHANGHAI UNIV

Text classification method based on feature information of characters and terms

The invention discloses a text classification method based on feature information of characters and terms. The method comprises the steps that a neural network model is utilized to perform character and term vector joint pre-training, and initial term vector expression of the terms and initial character vector expression of Chinese characters are obtained; a short text is expressed to be a matrixcomposed of term vectors of all terms in the short text, a convolutional neural network is utilized to perform feature extraction, and term layer features are obtained; the short text is expressed tobe a matrix composed of character vectors of all Chinese characters in the short text, the convolutional neural network is utilized to perform feature extraction, and Chinese character layer featuresare obtained; the term layer features and the Chinese character layer features are connected, and feature vector expression of the short text is obtained; and a full-connection layer is utilized to classify the short text, a stochastic gradient descent method is adopted to perform model training, and a classification model is obtained. Through the method, character expression features and term expression features can be extracted, the problem that the short text has insufficient semantic information is relieved, the semantic information of the short text is fully mined, and classification of the short text is more accurate.
Owner:SUN YAT SEN UNIV

Method and device for calculating similarity of Chinese character strings on the basis of edit distance

An embodiment of the invention provides a method for calculating the similarity of Chinese character strings on the basis of edit distance. The method includes: calculating the similarity of Chinese characters in character strings to be compared; calculating the similarity of the Chinese character strings to be compared. According to the method, the Chinese characters in the character strings are converted into four-corner codes by the four-corner code method; the similarity of the Chinese characters is accordingly calculated on the basis of edit distance; on this basis, the weight of edit distance is replaced with the similarity of the Chinese characters to calculate the similarity of the character strings. The Chinese characters are converted into numeric strings for comparison, thus matching of the Chinese characters is more precise; the weight of the edit distance is replaced with the similarity of the Chinese characters to calculate the similarity of the character strings, thus the edit distance algorithm is applied to matching of the Chinese character strings under the Chinese language environment and matching results are more accurate. In addition, another embodiment of the invention provides a device for calculating the similarity of Chinese character strings on the basis of edit distance.
Owner:SHENZHEN AUDAQUE DATA TECH
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