495results about How to "Recognition speed is fast" patented technology

A method for automatically recognizing one or more structures in digitized image date includes determining sub-jets of the image graph at the nodes defined by its structure. The sub-jets correspond to at least part of the determined sub-jets of the specific reference graph. The projection of the net-like structure of the specific reference varies until a graph comparison function, which compares the jets of the image graph with the corresponding jets of the specific graph, becomes optimal. The structure is associated with a reference image corresponding to the reference graph for which the graph comparison function is optimal, with respect to the optimal image graph determined for the reference graph.

Disclosed is a method to improve iris recognition success ratio and speed by registering the iris code on location of illuminator. In the present invention, iris codes for a single iris generated as many as the number of a plurality of illuminators are registered on an iris database every area corresponding to the location of the illuminator. The iris codes generated one by one whenever the plurality of illuminators are turned on one by one for recognition are searched on the corresponding areas of the iris database to determine the recognition.

The subject invention leverages a scalable character glyph hash table to provide an efficient means to identify print characters where the character glyphs are identical over independent presentation. The hash table allows for quick determinations of glyph meta data as, for example, a pre-filter to traditional OCR techniques. The hash table can be trained for a particular environment, user, language, character set (e.g., alphabet), document type, and/or specific document and the like. This permits substantial flexibility and increases in speed in identifying unknown glyphs. The hash table itself can be composed of single or multiple tables that have a specific optimization purpose. In one instance of the subject invention, traditional OCR techniques can be utilized to update the hash tables as needed based on glyph frequency. This keeps the hash tables from growing by limiting updates that reduce its performance, while adding frequently determined glyphs to increase the pre-filter performance.

The invention discloses a two-dimensional image recognition and object reconstruction method based on a three-dimensional model database. The method includes the following steps: a three-dimensional model of an object used for a two-dimensional projection is constructed, the three-dimensional model database is established and an correspondingly correlative attribute database is built up; the two-dimensional projection matching degrees of a two-dimensional image of the object to be recognized and the three-dimensional model of the relative object are compared; as for the two-dimensional projections being in accordance with the matching degree requirement, the object in the correlative attribute database is recognized as the object in the two-dimensional image; and the three-dimensional model in the three-dimensional model database which is correlative to the object in the attribute database is used for reconstructing the object. Due to the adoption of the comparison of the two-dimensional image of the object with the two-dimensional projection of the relative three-dimensional model, the aim of recognizing the object in the two-dimensional image of the object is realized and the two-dimensional images of the object which are photographed in a plurality of angles and from a plurality of directions are recognized; moreover, the aim of reconstructing the object in the two-dimensional image is achieved by using the correlative three-dimensional model; in addition, a paralleling calculation method is adopted to accelerate the speed of the reorganization and the reconstruction.

The invention relates to the technical field of PMSMs, solves a coupling problem during online identification of multiple parameters of a surface-mounted type PMSM, and achieves online decoupling identification of PMSM inductance, stator resistance and rotor flux linkage. Accordingly, the technical scheme adopted by the invention is that an online decoupling identification method of multiple parameters of the PMSM comprises the steps as follows: 1) identifying and coupling analysis of parameters of the PMSM; 2) a decoupling identification strategy, wherein voltage deviation before and after D shaft current injection is used for increasing the order of a motor mathematical equation, so that the decoupling identification of multiple parameters of the surface-mounted type PMSM inductance, the stator resistance and the rotor flux linkage are achieved; 3) neural network identifier design, wherein according to a parameter online identification problem of the PMSM, online identification is performed on motor parameters by adopting a self-adaptive neural network structure and a weight convergence algorithm based on a least mean square algorithm. The method is mainly applied to the design and manufacture of the PMSM.

The invention provides an automatic expression recognition method. The method includes the following steps: step10, capturing face areas in frame images of a video and preprocessing the face areas, step20, extracting Gabor features and EOH features of images of the corresponding face areas, step30, integrating the corresponding features to acquire final superficial features of the target video and acquiring an expression tag sequence of each frame of video images through a classifier acquired by training, step 40, scanning the expression tag sequences, judging duration time of expressions and outputting expression classes according to the acquired micro- expressions.

The invention discloses a regional convolutional neural network-based method for gesture identification and interaction under egocentric vision. The method comprises the following steps of S1, obtaining training data; S2, designing a regional neural network which is used for gesture classification and fingertip detection while being used for hand detection, and ensuring that an input of the neural network is a three-channel RGB image and outputs of the neural network are top left corner coordinates and top right corner coordinates of an external connection matrix of a gesture region, gesture types and gesture skeleton key points; and S3, judging the gesture types, and outputting corresponding interactive results according to different interactive demands. The invention provides a complete method for gesture identification and interaction under egocentric vision. Through single model training and partial network sharing, the identification speed and accuracy of the gesture identification under the egocentric vision are increased and improved.

A prescription verification system includes a database that contains a plurality of spectral signatures corresponding to identified pharmaceuticals. A multimodal multiplex sampling (MMS) spectrometer obtains a spectra of a pharmaceutical to be identified and verified. The pharmaceutical can be inside or out of a vial. The prescription verification system includes algorithms for matching spectra of pharmaceuticals to be verified obtaining using the MMS spectrometer to spectral signatures contained in the database corresponding to identified pharmaceuticals. The prescription verification system further includes algorithms for identifying such pharmaceuticals to be verified.

The invention discloses a method for controlling a transport robot to autonomously enter an elevator. The method for controlling the transport robot to autonomously enter the elevator comprises the following steps of navigating the robot to a doorway of the elevator by utilizing an own navigation device of the robot, before the robot enters the elevator, obtaining the position of an elevator call button by utilizing a robot vehicular vision module with depth information collection, triggering the elevator call button according to the position information of the elevator call button, and calling the elevator; obtaining the state information of an elevator door by utilizing a retreating sensor module, and controlling the robot to enter the elevator. According to the method for controlling the transport robot to autonomously enter the elevator, through combining with signals obtained by a Kinect sensor and the retreating sensor module, the past way that an instruction is sent to an elevator controller by a remote control center is thoroughly changed; the past way is changed into the way that an instruction is sent to the robot by the remote control center, the instruction is sent to a PLC (Programmable Logic Controller) by a robot vehicular controller and the elevator is triggered through an arm of the robot; by combining with the redundant design of a full load judgment condition module in the elevator, the control safety performance of the elevator is promoted.

The invention provides a speech recognition modeling method and a speech recognition modeling device. The above speech recognition modeling method comprises steps: speech signals are converted into a feature vector sequence and an annotated text corresponding to the speech signals is converted into a modeling unit sequence, wherein each modeling unit in the modeling unit sequence is a complete initial consonant or vowel producing unit or an initial consonant or vowel producing unit related to a context; a blank label is added in front of or behind any modeling unit in the modeling unit sequence; and based on connectionist temporal classification (CTC), the feature vector sequence and the modeling unit sequence after the blank label is added are trained, and a speech recognition model is built. According to the CTC-based deep neural network initial consonant and vowel modeling of the invention, the recognition speed and the recognition accuracy for the built speech recognition model can be improved.

The invention relates to a device and a method for on-line three-dimensional measuring of a laser radar of heavy forging in the measuring technical field, which comprises a two- dimensional laser radar, a servo-motor, a junction box, a rotary main shaft, a spacing and null point sensor, a bearing block which is provided with a bearing, a band brake apparatus, a back supporting stand of the laser radar, an L-shaped mounting bottom plate, a vertical mounting chassis, a movement-control card, a data collecting card, and a computer which is used for processing data. Firstly, the laser radar is positioned on the horizontal surface of a forging axial cord, then four surfaces of the forging are respectively scanned by the laser radar, the two-dimensional laser scanning radar is scanned in the surface which is vertical to an axial cord of the forging, the servo-motor drives the laser radar to rotate in the horizontal surface, thereby the three-dimensional scan of the forging is realized, finally, shape and parameter of the forging are gained through data process, and deviation of the shape of the forging is gained. The invention greatly increases accuracy and speed of identification, enlarges range of application, satisfies measuring requirement of a forging, and effectively increases measuring accuracy and efficiency of the forging.

The invention discloses a license plate character recognition method based on the combination of K-L transformation and LS-SVM. Firstly, the method of K-L transformation is adopted to carry out dimensionality reduction of features to a character image of the license plate; then, according to the permutation features of the character image of the license plate, the cluster distance method of cluster analysis is adopted, and four groups of optimal LS-SVM classifiers of binary trees are designed to respectively realize the recognition of English alphabets, numbers, characters and English alphabets plus numbers in license plate characters. The method adopted by the invention better solves the problem that other license plate character recognition methods have unidentifiable fields, does not require to traverse all classifiers when classifying, thus greatly improving classifying efficiency, shortening the feature extraction process of the license plate characters, reducing the calculation work of sample training and the recognition time of the license plate characters and simultaneously improving the recognition rate of a license plate recognition system and the capability of classification and promotion.

The present invention relates to a handwriting processing method and system, characterized in that the method comprises: collecting handwriting input by a user from an input area, and storing the handwriting as a handwriting picture; when all the handwriting is saved as a handwriting picture, Recognizing and storing all handwriting pictures as editable text in a unified manner; displaying the handwriting picture and/or the editable text according to user selection. In the present invention, after all the handwriting is saved as a handwriting picture, the step of identifying the handwriting picture as a text is unified, and the text can be edited, viewed, retrieved, shared, and copied, which not only greatly improves the input efficiency, but also facilitates users to choose according to their needs. Images and/or editable text can be flexibly switched between displays.

The invention provides a face recognition method and device. The method comprises the steps as follows: a to-be-recognized image containing a face is acquired; the to-be-recognized image is subjected to skin color segmentation on the basis of preset color space, and an area with the face skin color to be analyzed is determined in the to-be-recognized image; the area with the face skin color to be analyzed is subjected to face detection, and a face area is located; and the face area is subjected to face recognition, and a face recognition result is obtained. According to the method, the face recognition speed can be increased, and the face recognition reliability is improved.

A multi-eye iris collection device applying active vision feedback consists of collection unit formed by one set of optical lens and image collection chip as well as used for collecting iris information of user, illumination unit formed by one or multiple illumination component being able to radiate energy outwards and used for combining with or separating from said collection unit, feed back unit formed by image display component with display region being divided into two sections and used for separately displaying image of user two eye in order to let user regulate position of two eyes according to image displayed in said displaying region.

The invention provides an effective modeling and identification method of moving object behaviors, which comprises the following steps: step 1, firstly extracting local features and then extracting moving features of the moving object behaviors by using a feature extraction module; step 2, fusing the extracted local features and the moving features by using a feature fusion module via a subspace learning method, and reducing dimensions on feature space by using the feature fusion module; and step 3, by combining a prototype learning algorithm with a measure learning algorithm, identifying themoving object behaviors by using a behavior identification module, and evaluating the identified moving object behaviors by using the behavior identification module. In the effective modeling and identification method, the local features and the moving features are subject to feature fusion treatment, thus reducing the dimensionality of the feature space, and improving robustness of feature expression. The effective modeling and identification method has the advantages of low storage and low computational complexity, and has preferable classification and identification performance. The effective modeling and identification method can be used for intelligently monitoring abnormal behaviors in public security fields, thus an alarm is given once the abnormal behavior is found.

An input device including: a storage unit 6 which stores partial touch area definition data that defines a partial area of a touch input area 2a of a touch-type input device 2 corresponding to an input button displayed on an input screen of a display device 3 as a location on the touch input area 2a; and a storage unit 5 which stores correspondence data in which pattern candidates targeted for pattern recognition selected according to the display contents of the input button are registered by associating with a partial area corresponding to the input button, wherein reference is made to the partial touch area definition data of the storage unit 6 to specify a partial area containing the input starting location of a locus that is input by touching the touch input area 2a of the touch-type input device 2, reference is made to the correspondence data of the storage unit 5 to acquire pattern candidates associated with the specified partial area, and a pattern corresponding to the locus is recognized by using the acquired pattern candidates.

The invention relates to a defect classification and recognition method and device, computer equipment and a storage medium. The method comprises the steps of obtaining an original image; segmenting the original image into a plurality of sub-images according to a preset sliding window and a sliding step length, inputting each sub-image into a trained defect recognition model; and extracting imagefeatures of each sub-image through the trained deep convolutional network model, inputting the image features of each sub-image into the classification and recognition model to obtain a classificationand recognition result of defects of each sub-image, and determining a defect type of the original image according to the classification and recognition result of the defects of each sub-image. The image is segmented, the features of the segmented image are quickly and accurately extracted through the trained deep convolutional network model, the extracted features are classified and recognized through the classification and recognition model to obtain the corresponding classification and recognition result, and the recognition speed and recognition accuracy are improved.

The invention provides a voice recognition method, device and system. The voice recognition method comprises the following steps of carrying out acoustic recognition on a voice file to be recognized to obtain a corresponding phonemic chart, and converting a search keyword into a phonemic string; carrying out matching search on the phonemic string according to the phonemic string to obtain a keyword candidate list, wherein the keyword candidate list comprises a plurality of candidate keywords similar to the search keyword; obtaining the confidence coefficient of each candidate keyword, and obtaining a recognition result according to a preset confidence coefficient threshold, wherein the recognition result comprises the recognition of the voice file, the inner offset of a file corresponding to the candidate keyword with the confidence coefficient higher than the confidence coefficient threshold, and the confidence coefficient corresponding to the candidate keyword. According to the voice recognition method, device and system provided by the invention, the speed of recognition to the voice keywords and the coverage rate can be increased.

The invention discloses a gesture-based interaction two-way interactive digital TV box system and an implementation method. The system comprises a video server system, a VOD (Video-On-Demand) management system, a digital TV network, an EPG (Electronic Program Guide) system and a digital TV terminal. The EPG system provides users with a mode which is convenient to operate, is program-friendly and is quick in accessing to the program. The program information played recently by one or more channels are browsed and queried by the system. Meanwhile, the EPG provides a classification function, and helps the users browse and select various types of programs. The EPG system comprises a receiving module, a control conversion module, a storage module and a human-machine interaction operation module. The two-way interactive digital TV box has stronger product usability, and standardized layout and content. The operation process in the user selection process is simplified, so that the two-way interactive digital TV box has the advantages of good user experience.