8333 results about "Chinese characters" patented technology

A method and apparatus for inputting Chinese character text into a machine such as a word processor or personal computer. The system consists of an apparatus which forms a closed feedback loop with the operator. The operator supplies stroke selections and other data to the apparatus which presents character selection information in response to the user's input. As a consequence of the feedback provided to the operator and subsequent actions by the operator, the desired Chinese text is produced with significant improvements in speed and ease.

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.

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.

A convenient form of text editing in a camera device utilizing complex character sets is disclosed. The device includes a digital camera device able to sense an image; a manipulation data entry card adapted to be inserted into the digital camera device and to provide manipulation instructions for manipulating the image, including the addition of text to the image; a text entry device for the entry of the text which includes a series of non-roman font characters utilised by the digital camera device in conjunction with the manipulation instructions so as to create new text characters for addition to the image. The font characters are transmitted to the digital camera device when required and rendered by the camera in accordance with the manipulation instructions. The non-roman characters can include at least one of Hebrew, Cyrillic, Arabic, Kanji or Chinese characters.

A system and method for inputting Chinese characters using Pinyin without requiring the entry of a delimiter key between Pinyin entries in a reduced keyboard is disclosed. The system searches for all possible single or multiple Pinyin spellings based on the entered Latin alphabets. Once the user has completed the inputting of the Pinyin spellings for desired Chinese phrase or characters, all possible matching phrases or characters are displayed on screen and off-screen due to screen size. The user then scrolls through a list of matching phrases or characters and selects the desired one by clicking.

The invention discloses a microblog user interest recognizing method based on text mining, and belongs to the field of text mining and natural language processing. The method includes the steps of collecting the newest topical microblog text data of a microblog text set and microblog text data of a designated user, standardizing the collected microblog text data, recognizing the newest microblog words and renewing a new word dictionary for the standardized topical microblog text data through the microblog new word recognition method, conducting Chinese character word separation on the standardized microblog text data of the designated user through the new word dictionary word separation method to achieve text vector expression, clustering the microblog text data, expressed through text vectors, of the designated user, recombining original microblog text data, extracting new text set features through a topic model, presetting topic dictionaries, calculating the weight of each topic dictionary based on the new text set features to obtain the final topic, and enabling the final topic to serve as the microblog user interest recognition, thereby improving accuracy of feature extraction.

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.

A handwritten Chinese character input method and system is provided to allow users to enter Chinese characters to a data processor by adding less than three strokes and one selection movement such as mouse clicking or stylus or finger tapping. The system is interactive, predictive, and intuitive to use. By adding one or two strokes which are used to start writing a Chinese character, or in some case even no strokes are needed, users can find a desired character from a list of characters. The list is context sensitive. It varies depending on the prior character entered. Compared to other existing systems, this system can save users considerable time and efforts to entering handwritten characters.

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.

The invention relates to a polyester flax-like type different shrinkage composite yarn and a preparation method thereof. Firstly, a modified polyester yarn POY and a modified polyester yarn FDY are prepared respectively, then the modified polyester yarn POY and the modified polyester yarn FDY are compounded to prepare the polyester flax-like type different shrinkage composite yarn; the chromatic aberration [delta]E of the prepared polyester flax-like type different shrinkage composite yarn is less than 0.200; a bundle of the yarn POY or FDY extruded by a same spinneret plate contains a singleyarn shaped in a Chinese character 'wang' manner and a five-leaf single yarn; a molecular chain of modified polyester consists of a diol chain segment with a branched chain, and diol with the branchedchain has the structural formula defined in the specification, wherein R1 and R2 are straight-chain alkylene with the carbon atom number of 1-3 , R3 is alkyl with the carbon atom number of 1-5, and R4 is alkyl with the carbon atom number of 2-5. The method is simple and reasonable, and the prepared composite yarn has good fluffy property and moisture absorption and perspiration elimination properties.

Disclosed is manufacturing equipment for a round-head T-shaped pile. The lower end of a drill rod is fixed to the upper end of a motor. A speed changing box is arranged at the lower end of the motor. A first rotating shaft, a second rotating shaft, a third rotating shaft and a fourth rotating shaft are arranged at the lower end of the speed changing box. The lower end of each rotating shaft is provided with a drill bit. A first arm shaped like a Chinese character 'gan' and a second arm shaped like the Chinese character 'gan' are symmetric. A plurality of second stirring cutters are arranged on the left and right sides of the first arm shaped like the Chinese character 'gan'. A plurality of first stirring cutters are arranged at the lower end of the first arm shaped like the Chinese character 'gan'. A plurality of second stirring cutters are arranged on the left and right sides of the second arm shaped like the Chinese character 'gan'. A plurality of first stirring cutters are arranged at the lower end of the second arm shaped like the Chinese character 'gan'.

The invention belongs to the technical field of vehicle identification and particularly discloses a number plate identification method and an identification system of the number plate identification method. The method comprises the steps of number plate image positioning, character separation and character identification, wherein the character identification step comprises pre-treatment, coarse classification, Chinese character identification and number and letter identification. Through the improvement on a Chinese character identification method (through a Gabor filter and a minimum distance classifier) and a number and letter identification method (based on correlation feature selection (CFS) and a Bayes classifier), the number plate Chinese character identification rate and the number plate number and letter identification rate are greatly improved.

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.

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.

The invention provides a hand-written Chinese character beautification method, which is a handwriting processing method for hand-written Chinese characters on the basis of retaining the writing style of the writer. The invention aims at the input trail captured by general input devices (such as mouse, and touch-screens without pressure-level induction) and carries out speed-based calligraphy stroke simulation, stroke matching and template matching to the input trail so as to achieve the purpose of beautifying the writing trail. The invention also provides a personalized hand-written trail processing way which enables people who lack of specialized calligraphy practice to create beautiful handwritten calligraphic Chinese characters with personal style.

The invention relates to a moving voice synthetic method in the field of information changing and processing technology between Chinese character and voice. It is characterized in that it relates to a moving end device especially to an intelligent handset to do words changing. It comprises a voice base structure of the voice synthetic system, a rhythm module practice and a synthetic method and so on. It comprises a CART-Classification and Regression Trees method to choose the base unit sample from the large scale voice data base and to quickly establish the voice base unit database which is suit for the moving end; the rhythm module practice method based on the large scale voice database can extract the base audio curve from nature voice to generate the rhythm platen. So that it can achieve the changing method and system from text to voice on the moving end.