129 results about "Card image" patented technology

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.

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 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 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.

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.

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.

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.

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.

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 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.

The invention relates to the technical field of user identity verification, and discloses a gold recovery user identity verification method and device, and the method comprises the steps: obtaining an identity card image uploaded by a target user, and collecting continuous frame image data based on the identity card image and a camera, and generating a living body verification result; acquiring a historical transaction record of a target user and generating a transaction semantic feature vector; the method comprises the following steps: constructing a node feature vector for a target user in a cloud end, querying merchant nodes having a transaction relationship with the target user from a pre-constructed user merchant transaction relationship graph, extracting a first transaction sub-graph, and executing degree centrality screening and random mask operation on the first transaction sub-graph to obtain a second transaction sub-graph; calculating a graph anomaly score of the target user based on the second transaction sub-graph; and generating a JWT identity verification token based on the living body verification result, the transaction semantic feature vector and the graph anomaly score. According to the method, the recognition capability of the fraudulent behavior recovered by the agent is improved.

Systems and methods are described herein for updating a representation of a virtual payment card in response to a virtual transaction between a first device (e.g., a user device) and a second device (e.g., a merchant point-of-sale device). The systems and methods may be used to authenticate user identity with an additional layer of security and / or combat phishing attempts intended to dupe users into disclosing confidential profile information. In response to a completed transaction, the second device delivers interactivity data (e.g., animation data, card image data, contextual data, notification sound data, etc.) to the first device, which actuates a distinct representation (e.g., an animation, a graphic image, a notification sound, etc.) of the card image of the virtual payment card used in the completed transaction.

Metadata for highlights of a video stream is extracted from card images embedded in the video stream. The highlights may be segments of a video stream, such as a broadcast of a sporting event, that are of particular interest to one or more users. Card images embedded in video frames of the video stream are identified and processed to extract text. The text characters may be recognized by applying a machine-learned model trained with a set of characters extracted from card images embedded in sports television programming contents. The training set of character vectors may be pre-processed to maximize metric distance between the training set members. The text may be interpreted to obtain the metadata. The metadata may be stored in association with the portion of the video stream. The metadata may provide information regarding the highlights, and may be presented concurrently with playback of the highlights.

A secure identity verification method according to the present invention comprises: generating a secure work area when acquisition of a face image and an identification card image from an edge terminal is detected; extracting the face image and the identification card image from encrypted data received from the edge terminal in the generated secure work area; checking the degree of matching between feature data in a face area of the extracted face image and feature data in a face area of a face photograph included in the identification card image; sealing set data including the feature data for the face image and the identification card image confirmed to match and character string data in the identification card with a sealing key and transmitting same to storage; and when identity authentication is requested from a specific edge terminal, receiving the sealed set data corresponding to the face image received from the edge terminal from the storage, unsealing the set data, and comparing feature data extracted from the face image with the unsealed set data to perform identity verification.

The invention discloses a Chinese character recognition method and device in a minority identity card and a storage medium, relates to the technical field of digital medical treatment and the technical field of financial science and technology, and aims to improve the Chinese character recognition precision and recognition efficiency in the minority identity card. Comprising the steps that an identity card image of a minority identity card to be recognized is acquired, an initial detection frame and a character direction of a field to be recognized in the identity card image are determined, and the initial detection frame comprises minority characters and Chinese characters; if the character direction is not the forward direction, rotating the initial detection frame and the to-be-identified field in the initial detection frame into the forward direction, and obtaining the corrected initial detection frame and the to-be-identified field in the initial detection frame; and carrying out gradual dynamic boundary shrinkage on the corrected initial detection frame, and finally taking each field in the detection frame meeting a shrinkage stopping condition as a Chinese character field. The method and the device are suitable for the scene of identifying the Chinese characters in the identity card.

The embodiment of the invention discloses a card display method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: displaying a card identifier for referring to a target object; in response to a first operation for the card identifier, obtaining an observation view angle corresponding to the first operation, a surface patch model corresponding to the target object and a three-dimensional card frame model; the surface patch model is used for indicating a target object, the three-dimensional card frame model is provided with a frame material map, and the surface patch model is provided with an information material map; based on the observation view angle, the frame material map, the information material map, the surface patch model and the three-dimensional card frame model, a three-dimensional card model used for referring to the target object is rendered and generated, the problems that existing two-dimensional card display lacks stereoscopic impression and is single in view angle are solved, display upgrading from a two-dimensional card image to the three-dimensional card model is achieved, and the display experience is improved. And the visual presentation effect of the card and the immersive interactive experience effect of players are improved.

The present invention belongs to the field of social security card images and relates to data analysis technology. It is used to solve the problem that the existing social security card image acquisition and management system cannot guarantee the image quality during identity recognition and cannot detect the risk of non-recognition due to depreciation of social security cards. Specifically, it is a social security card image acquisition and management system based on data processing, including an image acquisition management center. The image acquisition management center is communicatively connected to a management platform construction module, an image acquisition and processing module, an identity recognition and confirmation module and an image management module; the management platform construction module is used to establish a database according to identity information and social security information, the image acquisition and processing module is used to collect and process social security card images when performing identity recognition, and the identity recognition and confirmation module is used to perform identity confirmation; the present invention reduces identity misjudgment caused by image problems and can also promptly detect social security cards with non-recognition risks.

This application relates to the field of computer technology, specifically to a data processing method, a terminal device, a computer-readable medium, and a program product. Based on the data processing method provided in the embodiments of this application, when the terminal device detects that a card image is included in the display interface, it can display multiple controls corresponding to multiple card functions, providing the user with an entry point to trigger the card function. Then, based on the user's selection of the first control corresponding to the first card function, the terminal device can automatically extract the card information corresponding to the first card function from the displayed card image, and execute the first card function based on the first card information according to the first application implementing the first card function. Thus, the user does not need to manually extract the first card information or manually enter it into the first application, effectively reducing the complexity of user operations and improving the user experience.

The invention relates to the technical field of image recognition processing, and discloses a direct-injection English read-through card classification method based on image recognition processing, and the method comprises the steps: obtaining a damaged English read-through card image and a historical learning record of a user, recognizing a damaged region, and extracting the features of an individual forgetting mode; calculating a memory attenuation degree and a credibility coefficient based on an improved Ebbinghaus forgetting curve fitting algorithm; utilizing a memory guide content reconstruction algorithm, and taking the memory credibility as a constraint weight to adjust an image restoration parameter; semantic probability distribution is calculated based on the vocabulary features, and restoration candidate schemes are generated in combination with memory constraints; analyzing the matching degree between the candidate scheme and the user memory state by using a time sequence memory verification algorithm; verifying the semantic rationality of the repaired content based on a language model; and performing content identification on the restored image to generate a classification result of comprehensive restoration and time sequence optimization. According to the method, intelligent image restoration of semantic constraint is realized, and integrated processing of restoration and classification is realized.

To extract metadata for highlights of a video stream from a card image embedded in the video stream.SOLUTION: Highlights may be segments of a video stream, such as a broadcast of a sporting event, that are of particular interest to one or more users. Card images embedded in video frames of the video stream are identified and processed to extract text. The text characters may be recognized by applying a machine-learned model trained with a set of characters extracted from card images embedded in sports television programming contents. A training set of character vectors may be pre-processed to maximize metric distance between the training set members. The text may be interpreted to be able to obtain the metadata. The metadata may be stored in association with a portion of the video stream. The metadata may provide information regarding the highlights, and may be presented concurrently with playback of the highlights.SELECTED DRAWING: Figure 4

The invention discloses a card and document image processing method, system and device and a medium, and relates to the technical field of image processing. Aiming at the problems of perspective distortion, inclined rotation and incorrect direction of a card image, the method comprises the following steps: acquiring a card or document image, and preprocessing the card or document image to generate a standard image; constructing a lightweight multi-task model comprising a lightweight convolutional neural network backbone, a corner regression network branch and a direction classification network branch, and training the lightweight multi-task model; a multi-scale shared feature map is extracted through a lightweight convolutional neural network backbone, then two-dimensional coordinates of four corners are output through a corner regression network branch, and an image direction category is output through a direction classification network branch; constructing a perspective transformation matrix by using the two-dimensional coordinates of the four angular points, and performing perspective distortion correction on the original image; and rotating and outputting the corrected image according to the direction category. According to the invention, the image processing efficiency and accuracy can be improved.

The invention belongs to the technical field of computer vision and target detection, and provides an SIM card information extraction method and system based on rotating target detection and dynamic correction, and the method comprises the steps: constructing an SIM card rotating target detection model, and carrying out the reasoning to obtain a reasoning result; the reasoning result is converted into vertex coordinates of a rotating rectangle, and an SIM card image is obtained through sorting, calculation, cutting and correction; and inputting the SIM card image into the CR model for character recognition, and extracting character content and confidence to form structured data. According to the method, the problems that a traditional horizontal detection frame easily causes region truncation when the SIM card inclines, OCR character recognition generates misrecognition due to disordered text directions, and background characters interfere with card surface information extraction are solved, the workload of manual intervention is reduced through the end-to-end detection process, and the processing efficiency in an industrial scene is greatly improved.

The application discloses a method and device for adjusting the testing distance of a camera module card, wherein the method comprises: obtaining the theoretical working distance of a target camera module, and determining the distance adjustment interval according to the theoretical working distance; controlling the testing card to move along the Z-axis in the distance adjustment interval according to a preset stepping strategy, and triggering the target camera module to collect corresponding card images at each stepping position to generate an image sequence; extracting the edge amplitude features of each card image, and calculating the gray value deviation based on the edge amplitude features as the definition evaluation value of the corresponding card image; determining the target stepping position according to the definition evaluation value, and driving the testing card to move to the target stepping position to complete the adaptive adjustment of the testing distance. Thus, the objectivity, consistency and accuracy of the determination of the testing distance of the card are improved.

The embodiment of the application discloses a card image processing method and device, the method comprises the following steps: preprocessing a target image to obtain a gray image; performing a binarization processing on the gray image based on a first threshold to obtain a first light spot contour image; performing a binarization processing on the gray image based on a second threshold to obtain a light spot core image; filtering the light spot contour without core from the first light spot contour image based on the light spot core image to obtain a second light spot contour image; determining a light spot image based on the light spot core image and the second light spot contour image; and filtering the light spot image from the target image. The light spot on the card can be detected through the double-threshold image segmentation technology, so that the light spot image can be filtered from the card image, and a clear card image can be obtained.

The invention discloses a high-fidelity printed card image reproduction method and system based on dynamic color calibration, and aims to solve the problem of color distortion caused by environment change, material difference and equipment drift. According to the method, a physical standard color card is arranged on each card, a reflection spectrum of the card is collected in real time by means of hyperspectral imaging, environmental parameters are sensed synchronously, a color characteristic curve is dynamically generated in combination with a printing material recognition technology, and then reverse mapping correction is conducted on an original image. And color drift is automatically compensated in continuous printing through a closed-loop feedback mechanism. According to the method, the conversion from static presetting to dynamic self-adaptive calibration is realized, the accuracy and batch consistency of color reproduction are remarkably improved, and the method is suitable for the field of high-end printing with extremely high requirements on color fidelity.

The invention discloses a card price trend acquisition method and system based on card image recognition, and belongs to the technical field of image data processing, and the method comprises the steps: obtaining historical card transaction orders and image data thereof according to a preset period, and carrying out the clustering analysis to obtain a plurality of clustering categories; training a deep learning model based on a clustering result, and obtaining a card image recognition model; acquiring a to-be-identified card image, and identifying and determining a clustering category to which the to-be-identified card image belongs through a model; according to the historical transaction order corresponding to the clustering category, the historical price trend of the card is generated, and unsupervised clustering and supervised deep learning are combined, so that the problem of difficult identification caused by various card types and version differences in the card transaction market is solved, the model can be dynamically updated to adapt to new cards, and the identification efficiency is improved. The function that the corresponding market price trend can be accurately obtained only by shooting the card picture is achieved, and the transaction efficiency and the price transparency are improved.

The present application relates to a method, system and device for optimizing skin color of ID card based on image perception, and relates to the field of image processing technology, including: performing semantic analysis and extraction on the ID card image to be optimized through a semantic analysis model to obtain deep semantic information, generating an optimization layer including a color layer and a color scale layer based on the deep semantic information, generating corresponding adjustment parameter information based on the color layer and the color scale layer based on the deep semantic information, adjusting the skin color of the color layer according to the adjustment parameters, and optimizing the color scale of the color scale layer according to the adjustment parameters to obtain an optimized target ID card image, extracting the complex features of the image color distribution by constructing an advanced semantic analysis model, and decomposing the image into multiple independent layers, so that each layer can be carefully adjusted to ensure color accuracy, contrast and overall visual effect, thereby improving the image optimization effect and optimization efficiency.