406results about How to "Improve match rate" patented technology

Ink strokes of cursive writing are segmented to make the cursive writing more like print writing, particularly with respect to the number of strokes of a character. A stroke-segmentation module first finds the local extrema points on a stroke of input ink. Then the local extrema points are stepped through, two (or three) at a time. The stroke-segmentation module may compare the three (or four) ink segments that are adjacent to the two (or three) local extrema points to a set of predefined stroke-segmentation patterns to find a closest matching pattern. Strokes are then segmented based on a stroke-segmentation rule that corresponds to the closest matching pattern. Additional stroke segmentation may be performed based on the change of curvature of the segmented ink strokes. Then, a character-recognition module performs character recognition processing by comparing the segmented ink strokes to prototype samples at least some of which have been similarly segmented.

The invention discloses a method for sea-land vector map data integration and fusion, which includes the steps of data pre-treatment, data format conversion, data integration display, same-name entity matching, same-name entity combination and the like. A digital audio tape (DAT) data format put forward by the method enables map control information, index data and position coordinate data to be packaged on one file and stored with layers as the unit. The storage format is convenient for management of layers, and when data of a corresponding layer is read, the data file only needs to be opened once, so that data reading speed of data is greatly improved, and simultaneously the size of the map data file is reduced to a certain degree. In addition, the same-name surface entity matching method based on simplification of polygon is capable of replacing all point entities forming a surface entity with four points or eight points obtained through simplification to participate in a matching process, thereby being capable of reducing complexity, improving matching rate, and simultaneously being capable of storing simplified results to be in the mode of files to be convenient for secondary use.

The invention discloses a police service cloud image recognition vehicle management and control system based on geographic space-time constraint. The system comprises an image data collection and decomposition module, an image retrieval module, a data storage module and a geographic information service module. The system is characterized in that the image data collection and decomposition module is responsible for collecting road images, extracting vehicle characteristics in the images and transmitting vehicle characteristic information in the images to the data storage module, the data storage module is used for storing the road images and image characteristic element data concerning the vehicle characteristic information in the images, the image retrieval module is used for responding to image retrieval requests of requesters, acquiring retrieval results meeting the image retrieval requests in an image retrieval mode mixing the image characteristic element data with geographic space-time constraint according to the image retrieval requests of the requesters and feeding the retrieval results back to the requesters, and the geographic information service module is used for responding to vehicle positioning requests of the requesters, acquiring vehicle space position information through a map server served by a geographic information platform and feeding the vehicle space position information back to the requesters.

The invention relates to a double-channel grinding method of a double-row ball bearing. The method is characterized in that a centerless clamp is adjusted, wherein an axial positioning support of the centerless clamp is ground by using an equipment self-grinding mode, and the end face runout of the axial positioning support is controlled within 2 micrometers; the angle alpha of an equipment workpiece frame is adjusted according to the requirements of the sizes of a ground loop, comprising the diameters of channels De / di, the positions of the channels a / b, the channel spacing a1 / b1 and the curvature radiuses of the channels Re / Ri, and the angle adjustment range is between 0 degrees and 25 degrees; a control cabinet of a CNC digital control system is used for controlling the shape of a single-point trimming grinding wheel of an arc trimmer; the positioning surface of the ground loop is fixed on the centerless clamp, and the control cabinet of the CNC digital control system is adopted to control the feed travels of an equipment workpiece X axis and a grinding wheel grinding frame Z axis meanwhile; after locking, a rotating type electric main shaft and a rotating equipment workpiece main shaft drive the ground loop so as to ensure that the grinding wheel enters a first row of channels to be ground; and after the grinding of the first row of channels is finished, the grinding wheel is fed into the second row of channels through the CNC digital control system and locked to grind the second row of channels.

The invention relates to an image copying and pasting detection method based on circular description operator CSIFT (Colored scale invariant feature transform). The image copying and pasting detection method comprises the following steps: 1) inputting a colorful image, and calculating the color invariant of the colorful image, and taking the gradient direction of the color invariant as a direction characteristic; 2) detecting a scale space extremum line, and positioning key pints; 3) determining the main directions of the key points by utilizing a circular description operator to generate the 24-dimensional operators of all key points; 4) taking Euclidean distance between the operators of every two key points as measurement for judging key point similarity, pairing all key points in the image, determining two suspicious areas in the image, and finding all paired key points in the two suspicious areas; and 5) if the amount of the paired key points is greater than a set threshold value, judging that the image is tampered by copying and pasting, and otherwise, judging that the image is not tampered by copying and pasting. The method is favorable for accurately and efficiently detecting whether the same image is tampered by copying and pasting.

The invention claims inspection method and device of an Internet deep packet. The method comprises the following steps of: sequentially filtering the contents of the Internet packets section by section through a Bloom filter, delivering suspected content parts to a matching unit for matching when suspected attacking packets are discovered; respectively carrying out parallel matching on suspected parts in the suspected attacking packets with a plurality of characteristic words in a TCAM of the matching unit, and acquiring the judgment result that whether the suspected parts are attacking packets, if the suspected parts are not attacking packets, filtering the rest contents section by section through the Bloom filter, and otherwise, discharging the packets and generating a warning. The invention improves the efficiency of characteristic word matching and greatly reduces the energy consumption via filtering the non-characteristic word contents of the non-attacking packets and the attacking packets through the Bloom filter, and only sending the suspected parts of the suspected attacking packets to the matching unit for carrying out matching inspection.

The embodiment of the invention provides a voice recognition method and device. The voice recognition method comprises the steps that candidate word strings corresponding to voice signals are acquired; a field language model is scheduled, and the corresponding probability enhancement coefficient of the candidate word strings in the field language model is determined; a basic language model is scheduled, and the basic matching probability of the candidate word strings in the basic language model is determined; the probability enhancement coefficient is combined with the basic matching probability so that the total matching probability of the candidate word strings is acquired; and the probability of a word sequence formed by each candidate word string is calculated according to the total matching probability of each candidate word string, and language texts corresponding to the voice signals are generated according to the word sequence of the highest probability. According to the voice recognition method and device, the general speaking habits in the basic language model are comprehensively considered, and the specific wording habits of the field language model are also considered so that the higher recognition rate of the voice signals can be provided.

The invention discloses a matching method of a power battery pack. The power battery pack is obtained by sequentially connecting cells in parallel and in series. The matching method of the cells connected in parallel comprises: acquiring the capacity of each cell; performing cycle charge and discharge according to a charge-discharge rate required by the purpose, and recording charge and discharge curves; calculating a voltage-dependent electric quantity change rate dQ / dV curve of the discharge curve, wherein the dQ / dV curve has two peaks; searching for voltage values corresponding to the peaks according to the dQ / dV curve, finding electric quantity values of the corresponding cells in the discharge curve according to the voltage values, and calculating a difference Dn between the electric quantity values; acquiring the self-discharge rate of each cell; acquiring an internal resistance value of each cell; grading Dn according to the values into a plurality of large groups, and classifying the cells into the corresponding large groups according to the tested Dn values, wherein the cells in each large group are classified into a plurality of medium groups based on the value of the self-discharge rate, and the cells in each medium group are classified into a plurality of small groups according to the internal resistance values of the cells; selecting a plurality of cells in the same group for matching.

A magnetic ink character reading apparatus, magnetic ink character reading method and program, and a POS terminal apparatus reduce recognition errors and thereby improve the read rate. The magnetic ink character reading apparatus reads a text string of magnetic ink characters using both a magnetic reading mechanism and optical reading mechanism to obtain magnetic ink character recognition (MICR) results and optical character recognition (OCR) results, which are compared. The OCR process is repeated if the results differ. The positions of the read character blocks are compared to find character blocks that are offset perpendicularly to the base line of the magnetic ink characters, and the OCR process is repeated. The area to which the OCR process is applied again is near the position of the offset character block corrected in the direction perpendicular to the line of magnetic ink characters to be in line with the character blocks for which the MICR result and OCR result were the same.

The invention relates to an integration method for depth feature and traditional feature based on AdaRank. The main technical characteristics comprise: dividing image data, respectively establishing aimed at different parts and training a depth convolution and a neural network, used to obtain depth features; extracting traditional features from pedestrian re-identification data, including LOMO features, ELF6 features, and Hog3D features; selecting the following three metric learning methods, KISSME, kLFDA, and LMNN; all the features and the three metric learning methods being combined and spanned to a Cartesian product, to obtain a series of weak sorters; using an AdaRank algorithm, performing ensemble learning on the weak sorters, to finally obtain a strong sorter. The method is reasonable in design, and combines depth learning, multi-feature, metric learning, and ensemble learning, and learns in an integrated manner through establishing the weak sorters, so integrated performance of a system is much better that using a single feature and a single metric learning, system integrated matching ratio is greatly improved, and good performance is obtained.