248 results about "Card image" patented technology

The invention provides an AI-based automatic identity card image cutting and OCR recognition method and system, and relates to the technical field of image processing, and the method comprises the steps: collecting a multi-angle depth image and a visible light image, reconstructing a three-dimensional model of a certificate through a three-dimensional point cloud registration network, and achieving the perspective correction of an image through the combination of attention posture estimation and projection matrix optimization; a double-flow memory neural network is adopted to carry out information area positioning, a feature extraction backbone network constructs a multi-scale feature pyramid, and a dynamic memory updating network carries out feature matching and dictionary updating based on a time sequence attention module and comparative learning; and performing character recognition on the segmented information sub-images through a multi-branch feature enhancement network, improving the recognition precision in combination with a self-attention enhancement unit and a context reasoning unit, and dynamically optimizing network parameters by using a reinforcement learning controller until a preset recognition credibility threshold value is reached.

The invention relates to the technical field of image acquisition and testing, and discloses an image acquisition and testing method, device and equipment and a storage medium, and the method comprises the steps: collecting a standard test card image through an image acquisition card in a multi-stage standard illumination environment, and calculating sensitivity benchmark test data; executing time domain and space domain combined sampling processing to obtain super-sensitivity image data; performing brightness analysis and dynamic adjustment on the currently shot first scene image to obtain a first image acquisition parameter; acquiring a second scene image, and performing image grid division and contrast compensation on the second scene image to obtain an enhanced image after contrast compensation; according to the super-sensitivity image acquisition method and the super-sensitivity image acquisition device, the sensitivity limitation of the position depth of a traditional image acquisition card is broken through, and super-sensitivity image acquisition is realized.

Systems and methods of enabling and providing digital objects across multiple environments are provided. A computer-implemented method includes: receiving, by a provider institution computing system, a request to associate a card with a digital object; generating, by the provider institution computing system, at least one filter that defines prohibited content for card images; extracting, by the provider institution computing system, image content from the digital object; determining, by the provider institution computing system, that the image content satisfies the filter; associating, by the provider institution computing system, the digital object with the card in a database of the provider institution computing system; and causing, by the provider institution computing system, a provisioning of the digital object associated with the card to a provider institution client application associated with the provider institution to display the digital object as being associated with the card.

The invention discloses a definition calibration method and device, a storage medium and computer equipment. Comprising the following steps: acquiring a to-be-tested camera module shooting an image card to obtain an image card image; identifying a plurality of statistical areas with equivalent texture features in the graphic card image; calculating the definition of the statistical area; and comparing the definition of the statistical area at the same preset test position with the reference value, and / or comparing the definition of the statistical area at different preset test positions, and determining a calibration result of the to-be-tested camera module. According to the method, quantitative evaluation of camera performance definition and uniformity can be realized through multi-region definition statistical comparison on the same graph card image, test errors during cross-module, cross-region and cross-time sequence detection are avoided, accurate definition verification is realized, additional arrangement of an independent work station and a module disassembly and assembly process are avoided, and the detection efficiency is improved. One-button four-corner definition quantitative comparison is realized, and time, manpower and space costs are remarkably reduced.

The invention discloses an image processing method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-processed image which comprises a to-be-recognized first card; identifying an image area where each first card is located in the to-be-processed image; based on the image area, extracting a first card image corresponding to each first card from the to-be-processed image; performing image identification processing on the first card image of each first card to obtain an identification result corresponding to each first card; based on the identification result of each first card, card information of each first card is determined; and displaying card information of each first card through a graphical user interface provided by the terminal equipment. According to the method and the device, the step of acquiring the card information corresponding to the entity card is simplified, the acquisition time of the card information is saved, the real-time performance and the responsiveness of information acquisition are improved, and the card information acquisition efficiency is improved.

A card, system, and method for validating a user's identity with card image steganography are provided. The system includes a card, a user device, and a processor. The card comprises a face with a steganographic pattern encrypted onto its substrate. The processor is configured to receive a request associated with the card, recognize the biometric data from the steganographic pattern on the card, and verify the user's identity by matching the user's biometric to the card's biometric.

The invention discloses a method and device for detecting color reducibility of a mobile phone camera and a medium, and relates to the technical field of image quality detection.The method comprises the steps that after geometric alignment is conducted on a color card image set, color block areas are divided, and a cross-light-source color block observation matrix is obtained through color block feature extraction; converting the cross-light-source color block observation matrix into a target color space coordinate, and performing illumination correction to obtain a cross-light-source color coordinate matrix; inputting the cross-light-source color coordinate matrix into a deep learning model, outputting a color block level high-dimensional color embedding matrix, and obtaining a high-dimensional color embedding vector set corresponding to the tested mobile phone camera in combination with an attention weight; calculating a color reducibility error index based on the high-dimensional color embedding vector set in combination with the standard reference library; and performing qualification judgment according to the color reducibility error index to generate a qualification detection conclusion. According to the invention, a stable and reliable technical basis is provided for camera quality detection under a multi-light-source imaging condition.

The invention discloses a card picture structuring method based on a multi-modal large model, and belongs to the technical field related to optical character recognition. The method is specially used for solving the problem of card information extraction in a general scene instead of the problem of card information extraction in a single type; the used image template is not used for template matching, but is used for improving the accuracy of structured extraction of the multi-modal large model; according to the invention, structured information extraction can be automatically carried out on identification card images of any type; according to the method, key node technologies such as a multi-modal large model, prompt word engineering, single-sample prompt and similarity comparison are fused, a proper template is selected as a sample for few-sample prompt, and the structural extraction capacity of the multi-modal large model is stimulated; and the template can be iteratively updated through a template quality score mode, so that the category of the template is enriched, the quality of the template is improved, and the structuring accuracy of the multi-modal large model is continuously improved.

The invention provides an SIM card automatic identification method based on semantic segmentation and shape analysis, and the method comprises the steps: inputting collected image information containing an SIM card into a semantic segmentation model, classifying the image pixel level as the SIM card or background, and generating a probability graph; performing threshold processing on the probability graph to generate a binary image; marking and extracting a connected region in the binary image by using a connected region analysis technology, and identifying an SIM card region; calculating a minimum enclosing rectangle for each identified SIM card connected domain, calculating a required rotation angle according to the angle of the minimum enclosing rectangle, and correcting the direction of the SIM card area by using affine transformation or perspective transformation; inputting the corrected SIM card image into an OCR (Optical Character Recognition) model, and carrying out character segmentation and recognition; and converting an identification result of the OCR model into a structured data format and outputting the structured data format. The method has significant application value in refined management scenes such as batch checking and inventory management of SIM cards, and can significantly improve the automation level and work efficiency of SIM card management.

The invention discloses an agent behavior conversion method and device, computer equipment and a storage medium, and the method comprises the steps: carrying out the image edge detection and image content recognition of an entity card image, and correspondingly obtaining an image structure feature and an image content label; performing data fusion on the image structure features and the image content labels, and performing multi-dimensional anti-counterfeiting verification to obtain an image verification result; and based on an image verification result, performing style parameter mapping on an image fusion result by using a low-rank adaptation mechanism to construct a parameterized card model. According to the method, the entity card image is subjected to a series of data processing construction to obtain the parameterized card model, and then attribute mapping is performed on various parameter attributes on the parameterized card model, so that the parameter attributes are converted into the agent behaviors, efficient mapping interaction between the entity card attributes and the agent behaviors is realized, and the interaction efficiency of the entity card attributes and the agent behaviors is improved. The limit between a traditional card game and a digital card game is broken through.

The invention discloses a geometric correction full-angle self-adaptive identity card image recognition method and system, and belongs to the technical field of image recognition and processing. The method comprises the steps of collecting an identity card image; the method comprises the following steps: preprocessing an identity card image, performing edge detection on the preprocessed image, performing corner enhancement on an edge contour image, and identifying a certificate language type of the enhanced image; determining a target angle according to the certificate language type; detecting a word line baseline angle of the enhanced image through projection analysis; constructing a perspective transformation matrix of the enhanced image according to the target angle and the word line baseline angle; and mapping the identity card image according to the perspective transformation matrix to obtain a corrected image. According to the invention, through a progressive positioning process of edge detection, angular point enhancement and character line calibration, the problem of correction of damaged and bent certificates is solved.

In various examples, multimodal image data can be used to generate a set of top-down tiled images. These images are then applied to a deep neural network generator architecture model to produce lane-marker-specific heatmap images that correspond to the set of top-down tiled images. The multimodal sensor data can include LiDAR-acquired intensity channel data, LiDAR-acquired feature height channel data, and optical color image channel data. The generator model can process the set of top-down tiled images to automatically capture lane boundaries and navigation boundaries, generating pixel-level heatmap images that can classify lane markings based on marking features such as line type and / or color.The generator model can include an encoder-decoder architecture, with functional layers for multiscale feature extraction and / or context extraction inserted between the encoder model and the decoder model.

The invention discloses a cotton root system phenotype detection and analysis system and method. The method comprises the following steps: acquiring a cotton root system image by using a root system image acquisition device; processing the cotton root system image by using the trained root system semantic segmentation model to obtain a cotton root system feature map; making a scale card graph; detecting the cotton root feature map by using a rhizome parameter quantitative detection model based on an XOR residual structure and a scale chart; calculating cotton root system phenotype parameters according to the detection result, and calculating dynamic evolution parameters of the cotton root system phenotype according to the sampling time sequence; establishing a cotton root growth dynamic evolution model based on the root phenotype; and detecting and analyzing the new cotton root system image by using the cotton root system growth dynamic evolution model, and predicting the growth state of the cotton plant. The intelligent estimation of the root system target growth parameters based on the learning model under the conditions of precise segmentation of the cotton root system under the complex background and no manual intervention is realized.

Systems and methods of enabling and providing digital objects across multiple environments are provided. A computer-implemented method includes: extracting image content from digital object; determining that the image content satisfies a filter, wherein the filter defines prohibited content for card images; in response to the determination that the image content satisfies the filter, causing, a provisioning of the digital object to an application to display the digital object as being associated with a card; receiving a credential associated with a third-party system depicting a digital representation of the card; providing the received credential to the third-party system depicting the digital representation of the card; and receiving an indication of a verification of the received credential and linking a provider institution computing system with the third-party system.

The invention relates to the technical field of vehicle-mounted equipment testing devices, and discloses a method and a device for testing the imaging quality of a vehicle-mounted camera in a salt-spray high-low temperature environment, and the method comprises the steps: installing a to-be-tested camera on an adjustable platform in a salt-spray environment cabin, maintaining an optimal angle, and forming a closed environment; adjustable sodium chloride salt mist is provided by the salt mist generation system, and environmental parameters are controlled by the temperature and humidity generation control system; the salt mist environment chamber is provided with high-low-temperature-resistant high-transmittance glass and a self-cleaning device, and the glass is cleaned before soaking is finished; the camera is lightened through the lightening driving system, and the camera is adjusted to be centered with the test graphic card; by adjusting working conditions such as temperature, humidity, light environment and attitude angle, the camera is driven to shoot an image card image and transmit the image card image to the image analysis module; the module analyzes the image in real time and quantifies the imaging quality of the camera; the technical problem that the composite environment working condition cannot be simulated in the prior art is solved.

The invention provides an identification card preparation method, identification card printing equipment and a storage medium, and the method comprises the steps: obtaining a plurality of to-be-printed images for preparing a target identification card, the plurality of to-be-printed images being a plurality of first images with the same style but different contents, or a plurality of third sub-images formed by splitting a second image, and then obtaining a plurality of to-be-printed images for preparing the target identification card, the method comprises the following steps: firstly, processing each to-be-printed image to obtain a plurality of target images, then, sending each target image to a corresponding laser printing component, and finally, concurrently controlling each laser printing component to print the corresponding target image on a to-be-printed certificate card to obtain a target certificate card, so that when a plurality of certificate cards need to be printed, the target certificate card is printed on the to-be-printed certificate card. By means of the technical scheme, parallel printing of multiple images corresponding to multiple cards can be achieved through the multiple laser printing components, when a single card needs to be printed on the device, the multiple laser printing components can conduct regional parallel printing on a single image corresponding to the single card, and the card image printing efficiency is improved.

The embodiment of the invention provides a color rendition test method and device for a wide-angle lens, electronic equipment and a medium, and belongs to the field of digital image processing. The method comprises the following steps: acquiring an initial image acquired by a wide-angle lens for a preset color card, extracting a color card area from the initial image, then performing color block edge detection on the color card area to obtain color block contour coordinate data, performing color extraction on the color card area according to the color block contour coordinate data to obtain color block color data, and displaying the color block color data on the wide-angle lens. Performing color filling according to the color block color data and a preset color card template to obtain a reconstructed color card image, and finally performing index calculation based on the reconstructed color card image and color data of a preset color card to obtain color index parameters. Compared with the existing test method, the embodiment of the invention does not need to perform distortion correction on the image acquired by the wide-angle lens, but directly generates the reconstructed color card graph, and performs color rendition ability evaluation based on the color card, thereby improving the efficiency of color rendition test.

The invention relates to an antigen detection card recognition method and device and a storage medium, and belongs to the technical field of antigen detection.The method comprises the steps that a detection card image collected by antigen detection equipment is obtained, and a detection area and a sample area of the detection card image are detected through a preset image detection algorithm; the detection area edge wireframe, the sample area edge wireframe, the detection area straight line number and the straight line position are obtained, so that the center point distance can be obtained according to the detection area edge wireframe and the sample area edge wireframe, when the detection area straight line number is 1, the straight line distance can be determined according to the straight line position, and the straight line distance is judged according to the center point distance. Obtaining a target detection result of the detection card image; therefore, the number of straight lines in the detection area can be judged according to the distance between the center points of the edge wireframe of the detection area and the center point of the edge wireframe of the sample area under the condition that C and T characters are not recognized, the target detection result of the detection card image is obtained, and the accuracy of antigen detection card recognition is improved.

The present invention relates to the field of digital image processing technology, and in particular to an image processing method, device and computer-readable storage medium, wherein the method comprises: determining the pixel coordinates of each target connected area in the original image, and determining the convex hull point according to the pixel coordinates; determining the first vector according to the coordinates of the first convex hull point and the second convex hull point, and determining the second vector according to the first convex hull point and the third convex hull point; determining the card corner point according to the angle between the first vector and the second vector; determining the affine transformation inverse matrix of the original image based on the coordinates of the card corner point, and generating a target image based on the affine transformation inverse matrix and the original image. By extracting the convex hull of the original image, filtering the card corner points from the convex hull, and performing an inverse affine transformation on the original image based on the card corner points, a target image with the affine transformation eliminated is generated, thereby improving the image processing efficiency and solving the problem of how to restore the calibrated card image that has undergone affine transformation.

The invention relates to the field of computer technology, and discloses a quality inspection method, device, computer equipment and medium for remote banking. The method comprises: in response to an operation instruction of a current user on a local bank self-service terminal device, automatically configuring a quality inspection component for a remote banking center; using an identity quality inspection component to compare a portrait image with an identity card image to perform identity quality inspection; if the identity quality inspection result is passed, using an audio and video quality inspection component to determine whether a complete portrait of the current user always appears in video stream data; if the audio and video quality inspection result is passed, using a protocol document quality inspection component to compare a protocol uploaded by the current user with a preset protocol template to determine whether the protocol uploaded by the current user is complete; if the protocol document quality inspection result is passed, using a business compliance quality inspection component to determine whether personal information is compliant. The invention realizes automatic quality inspection and improves quality inspection efficiency by automatically configuring a quality inspection component for a remote banking center.

Add effects to cards owned by the user. [Solution] Cards associated with a user are associated with information relating to the series of the card, and when a user owns multiple cards of the same type and series, a means is provided for acquiring an effect for that type of card by consuming that type of card, and the effect imparts a special effect to the display of the card image of that type of card.

The embodiment of the invention relates to the field of distance measurement, and provides a measurement equipment calibration method based on pupil detection and a related device, the method is applied to a calibration device of a distance measurement device, the distance measurement device has an image acquisition function, and calibration card images under different measurement distances are acquired; the calibration card image at least comprises image information of a calibration pattern set based on the pupil sample image; the measurement distance is the distance between the calibration card containing the calibration pattern and the image sensor when the calibration card image is collected; extracting a target area corresponding to the calibration pattern in the calibration card image; acquiring image boundary features of the target area under different measurement distances; and generating an HSV mask parameter for adapting to the current illumination condition based on the image boundary features. Therefore, automatic calibration of the pupil detection distance measuring equipment is achieved, the pupil detection distance measuring equipment is matched with the illumination condition of the environment where the pupil detection distance measuring equipment is located, and the adaptation efficiency and measurement precision of the distance measuring equipment are improved.

This application provides a card image reflection correction method based on a lightweight neural network. The method constructs a card image reflection correction model, realizes adaptive correction of the reflective image through the encoding and decoding neural network structure in the card image reflection correction model, and uses a deep double convolution residual module in the encoding part to fully mine the contextual semantic information of the card image, so that the algorithm has good robustness while maintaining lightweight; in the decoding part, the low-level and high-level semantic information are effectively integrated through the cascade method of pixel-by-pixel addition, which not only ensures the algorithm's inference speed but also effectively improves the restoration quality of the card image.

The invention relates to a subway BOM ticket business processing method and system based on artificial intelligence, and solves the problems that the verification accuracy is reduced, the processing efficiency is low and the overall adaptability is insufficient due to the fact that an existing subway BOM system excessively depends on a single electronic data dimension and a fixed process. The method comprises the following steps of: extracting and verifying visual and electronic characteristics by acquiring ticket card images and electronic data and adaptively switching acquisition modes; and when the verification is passed, performing secondary verification by using the multi-modal knowledge graph and combining space-time anomaly enhancement to associate the preferential rule. And when the verification fails or the features do not reach the standard, analyzing the emotion of the user, diagnosing an abnormal root cause, and dynamically optimizing system parameters to generate guidance by taking the abnormal root cause as a target. And finally, intelligent ticket business routing is carried out based on reinforcement learning or an adaptive scheme is executed according to risk assessment, so that whole-process intelligent processing is realized. The method has the advantages that dynamic adaptation of metro ticket business processing is achieved, and efficiency and recognition precision are improved.

Systems and methods are provided for activating a card using augmented reality. The systems and methods may include capturing a real-time image of the card using a customer device, and extracting card information from the real-time image. The card information may be processed and used by a customer device or a financial provider server to activate the card. The customer device may display interactive graphics overlaid on the real-time card image to guide the customer through the activation process, and to educate the customer about the components of the card and aspects of the financial service associated with the card, such as a credit card service. The customer may interact with the overlaid graphics such as by selecting icons or portions of the card to trigger tutorials or to set preferences related to the card and / or financial service.

To allow a user who utilizes an on-line card lottery system to experience an exciting performance effect sometimes in which the user wonders what kind of card medium a drawn card medium is by confirming one portion of drawn card images provided from a server device by flipping.SOLUTION: In an on-line card lottery system in which a server device 1 communicates with data terminals 2-1 to 2-N, the server device 1 includes a first performance display control section 16-1 for superposingly displaying a mask image MA with a card medium CA as a mask on the front of a drawn card medium image on the basis of selection of a lottery button for holding a card lottery on an on-line gadget operation screen, and a second performance display control section 16-2 for moving and displaying the mask image MA so as to be flipped on the front of the drawn card medium image on the basis of an instruction direction of a movement instruction section for moving the mask image MA displayed on the on-line gadget operation screen in a predetermined direction.SELECTED DRAWING: Figure 1

The invention discloses an image generation method and electronic equipment, and particularly relates to the technical field of image generation, and the method comprises the steps: obtaining the card attribute information of a target component card in response to the detection of the access of the target component card to a storage device; determining layout template information of the target component card and layout template information of each port in the target component card according to the card attribute information; determining layout configuration data of the target component card according to the card layout template information and the layout template information of each port; and generating a target image corresponding to the target component card according to the layout configuration data and the color information of each port in the target component card, thereby solving the problem in the prior art that a large amount of labor and time cost needs to be consumed to make a newly-added component card image when a newly-added component card is added, and achieving the purpose that the newly-added component card image needs to be made when the newly-added component card is added. The newly-added component card image can be generated according to the card attribute information, the layout model information and the port color information, and the technical effect of reducing labor and time cost is achieved.

The invention discloses a machine-readable card image recognition method based on YOLOv7 model positioning and multi-clustering recognition, which comprises the following steps of: firstly, recognizing a user-defined mark through a YOLOv7 model, determining four corners of a quadrilateral of a selection question region, then extracting an image of a machine-readable card part according to the four corners, then firstly performing trapezoidal correction on the machine-readable card image, and finally performing multi-clustering recognition on the machine-readable card image. Performing denoising, closed operation and graying preprocessing on the image of the region, converting the original image of the machine-readable card to be identified into a black and white binary image, searching rectangles of various scales by adopting the contour in the CV2, then determining each rectangle according to a clustering method, finding out a central point on an X axis and a Y axis, and finally, obtaining the original image of the machine-readable card. And according to the rectangular area ratio of the white points, determining whether filling is carried out, determining a filling position, obtaining an answer, and carrying out comparison. According to the method, verification of multiple examples is carried out, experiments prove that the method is high in automation degree, accurate in recognition and high in speed, the test paper cost is greatly reduced, the paper marking efficiency is improved, and the method has wide popularization value.

The invention discloses an image region extraction method and device, a storage medium and computer equipment. Comprising the following steps: identifying texture units in an image card image; searching target texture units corresponding to different preset test positions according to the texture density type of the graph card; and according to the target texture unit, constructing a plurality of statistical areas of the graphic card image, so as to detect the to-be-detected camera module through the plurality of statistical areas, the plurality of statistical areas having equivalent texture features. According to the method provided by the invention, the statistical region of the preset test position is constructed by combining the target texture units at the preset test position, so that the texture features in the statistical regions at different positions in the image are highly consistent. Therefore, measurement deviation caused by cross-module, cross-region and cross-time sequence is effectively eliminated, repeated texture graph card resources of an existing calibration work station can be reused, an independent work station does not need to be additionally arranged or a special graph card does not need to be customized, and space and labor cost are remarkably saved.