59 results about "Iris image" patented technology

A server for predicting a disease through AI-based iris analysis and a method for operating same are disclosed. The server for predicting a disease through AI-based iris analysis comprises: an image preprocessing unit that performs preprocessing on an iris image received from a user terminal; a prediction model training unit that trains an iris-based disease prediction model in a supervised manner using pre-collected learning data; a prediction model tuning unit that performs additional learning on the supervised iris-based disease prediction model; and a disease prediction unit that determines a predicted disease corresponding to the iris image using candidate diseases obtained from the additionally trained iris-based disease prediction model and transmits disease prediction information including the determined predicted disease to the user terminal.

The application discloses an iris recognition method and device, system and storage medium, and performs preprocessing such as polar coordinate unfolding on an input original iris image in sequence; multi-level image features are extracted through an inverse residual module; subsequently, a global depth convolution GDConv operator is introduced to replace a global average pooling layer, so that spatial structure distribution features of iris textures are retained under the premise of extremely low calculation complexity; finally, an ArcFace loss function is used to optimize the distribution of features in a hyperspherical space, and the class separability of the features is enhanced by introducing an additive angle interval. By using the technical scheme of the application, the technical problems that spatial topological information is lost due to a global average pooling GAP operation in iris feature extraction by using an existing lightweight convolutional neural network, and the feature discrimination is reduced due to network lightweight are solved.

The application relates to the field of image processing, in particular to an iris image matching method and device, equipment and medium, which are used to solve the problem of large calculation error in the iris image matching process. The method determines a plurality of target Mahalanobis distances based on each feature point of a to-be-detected iris image. It should be noted that each target Mahalanobis distance is determined based on the gradient parameters corresponding to any two target feature points of the to-be-detected iris image. Based on the sum of the plurality of target Mahalanobis distances and the sum of a plurality of standard Mahalanobis distances, the matching degree between the to-be-detected iris image and a pre-stored standard iris image is determined, wherein the standard Mahalanobis distance is determined based on the standard iris image. The above-mentioned iris image determination method based on Mahalanobis distance considers the internal relationship between the feature points, improves the matching accuracy between the to-be-detected iris image and the pre-stored standard iris image, and improves the reliability of the safe box in use.

The invention discloses an iris biological feature comparison method based on three-dimensional fold embedding matching, and relates to the technical field of biological feature recognition, and the method comprises the following components: S1, iris image acquisition preparation, S2, iris segment acquisition, S3, three-dimensional structure extraction, S4, three-dimensional fold embedding matching, and S5, matching result output. According to the method, through the three-dimensional wrinkle embedding matching technology, the three-dimensional structure information, including the three-dimensional coordinates, the wave crest position, the wave trough position and the like of the wrinkles, of the iris wrinkles is deeply utilized for accurate matching, compared with a traditional two-dimensional iris recognition method, the three-dimensional structure information provides richer feature dimensions, and the recognition accuracy is improved. According to the method, the recognition accuracy and reliability are remarkably improved, particularly when tiny differences and complex textures in the iris image are processed, the features can be captured more accurately through three-dimensional wrinkle embedding matching, and therefore more accurate identity verification is achieved.

This invention discloses a method, apparatus, storage medium, and device for iris inner boundary localization, belonging to the field of iris recognition. The invention first performs initial localization of the iris inner boundary as a circle. Then, the annular region image containing the initially located iris inner boundary is unfolded into a rectangular region image. Next, gradient calculations are performed along the column directions of the rectangular region image, followed by binarization. The boundary points of the iris inner boundary are determined on the resulting binarized image. Finally, the boundary points are returned to the iris image to obtain the precisely located iris inner boundary. This invention is a universal method for iris inner boundary localization, capable of locating both irregular and regular circular iris inner boundaries, while ensuring accuracy and improving the accuracy of iris recognition.

The invention discloses an ordering method and platform based on individual health, and the method comprises the steps: obtaining an iris image of a user, and recognizing the body health risk information of the user through iris detection, analysis and processing; generating a catering recommendation rule according to the obtained body health risk information of the user; the ordering platform screens a food list according to the ordering condition of the user and the catering recommendation rule, and then presents catering recommendation information; or the ordering platform screens the food list according to the ordering condition of the user, generates risk prompt information according to the catering recommendation rule, and presents the catering recommendation information and the risk prompt information; the user performs ordering selection; according to the scheme, by combining the iris detection technology and the Internet ordering platform, the health risk of the user can be effectively recognized, personalized diet recommendation and health risk prompt are provided, the user is helped to enjoy online ordering and online take-out convenience, diet health can be guaranteed, and chronic diseases can be prevented and controlled.

The invention relates to the technical field of identity recognition, and discloses a vehicle owner identity information recognition system based on artificial intelligence. Comprising a data acquisition module used for acquiring an iris image of a current vehicle operator; the sub-region division module is used for generating an identification region and dividing the identification region into sub-regions; the parameter extraction module is used for generating iris feature coefficients; the comparative analysis module is used for judging whether the vehicle owner identity information exists or not and generating a corresponding vehicle control instruction; the instruction execution module is used for controlling the vehicle to execute corresponding actions according to the vehicle control instruction; according to the invention, an overall identification and judgment mode of the iris image is converted into a local identification and judgment mode, so that the data volume used for vehicle owner identity identification can be reduced, the data calculation workload can be reduced, the control instruction can be generated at the first time, the efficient vehicle owner identity identification effect is realized, and the user experience is improved. And the processing ordering effect of the iris data is also realized.

The application discloses an image processing-based dry eye iris detection method, and relates to the technical field of dry eye detection, and comprises the following steps: 1, in the process of collecting the human eye iris projection image, four light supplementing white lamps are turned on, and the white lamps are projected onto the iris surface; 2, in the collecting process, the four points projected onto the iris are kept in the delimited green circle, and the relative position relationship of the four points is detected and calculated in real time; 3, before the comparison threshold value, whether the four white lamp projection images of the image reach the set clear range is judged first, when the clear range is reached, whether the relative position relationship of the four points is less than the threshold value of the preset value calibration is judged, and when the threshold value is less than the preset threshold value, the iris image is collected; 4, then, the image processing technology is applied to extract the iris position of the collected image and the position of the four LED projection white lamps; 5, finally, the size of the iris diameter is calibrated through the position relationship of the white lamps. The detection method has the advantages of fast detection speed and accurate detection result.

The present application discloses a method and a device for localizing a cutting center in refractive surgery using femtosecond lasers and relates to the field of localizing a cutting center in refractive surgery. The method comprises: capturing eye images of a patient to be operated on in a supine position or...In a seated position under a predetermined illumination level, a first iris image and a first relative position are determined; a second iris image is determined based on the eye image in a supine position; a first rotation angle of the eyeball is determined based on the first and second iris images, and subsequently a second visual axis center and a second relative position of the patient to be operated on are calculated, based on which negative pressure suction is performed, whereby a third iris image is recorded during negative pressure suction if a displacement is detected before negative pressure suction or after aligning the center of a negative pressure suction ring with the second visual axis center; subsequently a third visual axis center is calculated, the center of the negative pressure suction ring is aligned with the third visual axis center, and the third visual axis center is defined as the cutting center for the operation.The present application enables precise localization of the cutting center.

The invention discloses an iris recognition device and method in a complex illumination environment. An iris image acquisition unit acquires iris images of eyes of a user; the intelligent exposure control unit adjusts exposure parameters based on the iris image according to the association between the pupil size and the ambient light; the iris quality evaluation unit evaluates the quality of the iris images by adopting a plurality of quality measures, filters the iris images which are unqualified in quality evaluation, and obtains a multi-measure quality evaluation result for the iris images which are qualified in quality; the iris quality enhancing unit is used for enhancing the quality of the iris image of which the quality is lower than a preset threshold value; the iris feature coding unit is used for representing the iris image subjected to quality compensation in an iris feature coding form; and the iris feature comparison unit calculates the similarity between different iris feature codes, and identifies the iris feature code to be identified in the registered iris feature code library by comparing the iris feature code to be identified with the registered iris feature code library.

The application discloses an identity recognition method and device, a storage medium and equipment, and belongs to the field of biological recognition. The application utilizes the correlation between eyeball deflection and face posture deflection to quickly and accurately find user posture deflection. First, eyeball deflection is judged based on an iris image to determine whether the face posture is deflected, then the deflection direction and angle of the face posture are judged based on a face image, and correction is performed to obtain an iris image of a to-be-recognized object when the eyes are in orthoptic state, which meets the actual application requirements. The application improves the success rate and efficiency of iris image acquisition, and further improves the accuracy of iris recognition, and can realize detection and correction of large-angle face posture deflection, and can meet the requirements of face posture diversity in the actual application process.

The invention relates to the technical field of biological feature recognition, in particular to a quick iris retrieval system and method based on a vector database. The method comprises the following steps: receiving an iris image and a segmentation mask as input; the feature extraction layer uses a deep convolutional neural network, the deep convolutional neural network extracts a D-dimensional deep feature vector, and D is greater than or equal to 128; the vector normalization layer carries out L2 normalization processing on the extracted feature vectors, the calculation method is that the vectors are divided by L2 norms of the vectors, and the FAISS vector database layer adopts an IndexFlatIP inner product index structure, stores N normalized feature vectors and forms an N * D floating-point number matrix; the inner product operation is equal to cosine similarity; extracting a D-dimensional normalized vector of the query image, and calling a search method of FAISS to calculate an inner product similarity s; and carrying out sorting according to the similarity score s, returning the most similar iris features, and mapping the most similar iris features into corresponding personnel identities to complete iris recognition. According to the method, the retrieval efficiency and the recognition precision are improved.

The present application provides an identity recognition method, device and equipment, and a storage medium, and relates to the technical field of biological recognition. The method comprises the following steps: obtaining a first face image and a first iris image of a first user; determining a plurality of first candidate identity identifiers of the first user and a face matching degree of each first candidate identity identifier with the first user according to the first face image; determining a plurality of second candidate identity identifiers of the first user and an iris matching degree of each second candidate identity identifier with the first user according to the first iris image; and determining a target identity identifier of the first user according to the plurality of first candidate identity identifiers, the plurality of second candidate identity identifiers, the face matching degree of each first candidate identity identifier with the first user, and the iris matching degree of each second candidate identity identifier with the first user. The method provided by the present application solves the problems of low recognition rate and low security when identity recognition is performed only by using face recognition.

To provide an iris recognition device and method for correcting pupillary deviation based on the dominant eye. [Solution] An iris recognition device for correcting pupil deviation using a dominant eye according to one embodiment of the present invention includes: an iris recognition unit that uses a camera module to recognize the user's face, the pupil positions of both eyes, and reflected light (SPECULAR) generated at the iris recognition position, and determines whether the pupil position and the position of the reflected light can be aligned; an indicator control unit that activates an IR-LED indicator for iris recognition to generate the reflected light at the iris recognition position and activates an additional indicator located on the eyeball side where the pupil position and the position of the reflected light were not aligned; and an iris image generation unit that captures the iris images of both eyes when the reflected light is aligned at the pupil positions of both eyes.

The present application belongs to the field of information security, and particularly relates to a two-stage WBAN authentication method based on iris features and ECG features, which comprises the following steps: collecting an iris image through an iris collector, and performing first-stage identification and authentication on the identity of a user through four stages of iris image preprocessing, iris image feature extraction and quantization, iris template making and iris template matching; after the first-stage authentication, collecting an electrocardiogram signal of the user using a sensor, and performing second-stage authentication on the identity of the user through four stages of ECG signal preprocessing, ECG feature extraction, ECG feature quantization and a fuzzy commitment-based key agreement mechanism. Only the user who passes the two-stage authentication is considered to have passed the authentication. The method adopts two-stage identity authentication, improves the accuracy of identity identification, and is beneficial to protecting the security of the WBAN and protecting the privacy of the user.

The invention discloses an identity verification system and method based on fuzzy iris feature extraction, belongs to the field of biological feature recognition and cryptography, and aims to solve the problem that the traditional iris recognition method is difficult to accurately extract effective feature information, so that the accuracy and reliability of identity verification are influenced. The system provided by the invention comprises six modules: a user key generation module generates an initial key and a registration check bit based on an iris image; the real-time image acquisition and preprocessing module captures an iris image and converts the iris image into a binary vector; the dynamic threshold binarization module dynamically calculates a binarization threshold; the fuzzy extraction module is used for converting the standardized iris image into a binary vector by adopting a fuzzy extraction algorithm based on a binarization threshold value; the verification key hash generation module generates a verification key hash value based on the binary vector. The zero-knowledge proof module constructs a key holding proof; and the chain-edge collaboration module integrates the data, completes identity verification and outputs a result.

The invention discloses a healthy catering service system and method based on iris detection, and the system comprises an information interaction module which is used for displaying an interaction process to a user and receiving the input of the user; the iris detection and analysis module is used for acquiring an iris image of the user, analyzing the iris image and acquiring health condition information of the user; the nutrition catering module is used for recommending a catering scheme suitable for the health condition of the user according to the acquired health condition information; the intelligent ordering matching module is used for acquiring catering data of the third-party ordering platform, querying in the catering data according to the catering scheme, and matching food or shops meeting conditions; the scheme has the characteristics that the efficiency and convenience of obtaining healthy diet suggestions and services by the user are remarkably improved, the healthy diet habits of the user are promoted, and the life quality of the user is improved.

The application provides a center positioning system for femtosecond laser ophthalmic corneal refractive surgery, which comprises an iris recognition component, a central processing component and a real-time display component, the iris recognition component is used for converting a real-time image of a patient into a digital image; the central processing component is electrically connected with the iris recognition component, and the central processing component is used for converting the digital image into an iris simulation image with a size equal to that of a pre-recorded patient examination iris image; the real-time display component is electrically connected with the central processing component, is used for receiving the iris simulation image transmitted by the central processing component, and presents the iris information transmitted by the central processing component in real time. Meanwhile, a center positioning method is also provided, which takes the corneal vertex as the center, calculates the self-rotation angle of a treated eye of a patient by comparing the image angle difference between the iris simulation image and the pre-recorded real-time image, improves the positioning accuracy, significantly reduces the residual myopia and astigmatism, and improves the safety of the ophthalmic femtosecond laser surgery.

The application discloses an iris recognition method and device, a storage medium and equipment, and belongs to the field of biological recognition. The method comprises the following steps: acquiring an iris image of a to-be-recognized object; performing curve fitting on the pupil boundary of the iris image according to an ellipse, and judging whether the to-be-recognized object has eyeball deflection according to the fitted ellipse curve; if it is judged that the to-be-recognized object has eyeball deflection, correcting the iris image according to the parameters of the fitted ellipse curve to obtain an iris image of the to-be-recognized object when the to-be-recognized object looks straight; if it is judged that the to-be-recognized object does not have eyeball deflection, determining that the iris image is the iris image of the to-be-recognized object when the to-be-recognized object looks straight; and performing iris recognition on the to-be-recognized object according to the iris image of the to-be-recognized object when the to-be-recognized object looks straight. The application corrects the iris image when the recognized object has squint, reduces the posture requirement of the recognized object, and improves the accuracy and efficiency of iris recognition.

The invention belongs to the technical field of image generation, and discloses an eye animation display method and device based on image rendering, and the method comprises the steps: carrying out the layered rendering of a preset eye white image, an iris image, a pupil image and a highlight image, and obtaining an initial eye image; obtaining a preset animation frame number, and calculating a vertical pixel distance of the initial eye image; according to the vertical pixel distance and a sine function, obtaining the stepping pixel number of each frame in the preset animation frame number; rendering an eyelid image on the initial eye image according to the number of each step pixel to obtain a plurality of eye image frames; and combining the eye image frames to obtain a blink animation video, and playing the blink animation video in a preset period. According to the method and the device, the hardware overhead can be reduced while low-delay display of the eye animation is realized.

An iris authentication device includes: a camera that is installed at a position lower than a line of sight of an authentication target person; lighting that is installed either at a same height as the position of the camera or at a position lower than the camera and that irradiates the authentication target person with light; and an authentication unit that performs authentication of the authentication target person by collating an iris that appears in an image of the authentication target person with a pre-registered iris image, the image of the authentication target person being captured by the camera from lower front while the lighting is irradiating the light.

The application relates to an iris image correction model training method, a correction method, a device and a medium, wherein the correction model training method comprises the following steps: acquiring at least one orthophoto iris image and a corresponding distorted iris image of each orthophoto iris image; inputting each distorted iris image into an initial correction model for image correction processing and image feature reconstruction to obtain reconstructed features; acquiring a segmented pupil mask according to the reconstructed features, and supervising the pupil shape of the pupil mask through a preset segmentation loss function to obtain a corrected iris image; performing similarity loss constraint on the corrected iris image according to the orthophoto iris image to obtain a reconstructed iris image; performing semantic feature loss constraint on the reconstructed iris image based on the reconstructed iris image and the orthophoto iris image, and adjusting the initial correction model to obtain a target correction model. The application has the effect of improving the efficiency of correcting the distorted iris image.

The application provides a device for face iris image acquisition, comprising a face optical imaging unit, a human eye detection unit, an optical mapping unit, a local area configuration unit, an iris optical imaging unit, an iris image AF automatic focusing unit and an image acquisition processing unit; the optical mapping unit is used for realizing the transformation of the face optical imaging unit in response to the corresponding object image optical geometric mapping relationship of the iris optical imaging unit according to the human eye center pixel position of the human eye detection unit; the local area configuration unit is used for realizing the synchronous dynamic configuration of the local area of the iris image with the fixed pixel resolution of the iris optical imaging unit according to the corresponding optical geometric mapping relationship of the optical mapping unit, the application can meet the frame rate requirement of real-time image processing under the high-pixel resolution image data acquisition and transmission, realize high-speed accurate transmission, and ensure the high-speed accurate acquisition of high-quality automatic focusing iris images at the same time.

The application provides an adaptive color adjustment method and system based on iris features and a storage medium, which comprises the following steps: first, an imaging module is used to collect an iris image of a user, and an iris feature vector containing pigment density, texture and chroma is extracted after preprocessing; then, the iris feature vector is input into a pre-trained color perception model to predict the user's personalized color perception deviation; based on the color perception deviation, a color correction parameter set is generated through a reverse compensation algorithm; finally, in a real-time rendering pipeline, the color correction parameter set is applied to perform pixel-by-pixel color correction on a to-be-displayed picture, and a display picture adapted to the user's physiological features is output; thus, the color perception deviation caused by individual differences is solved, and the authenticity of color restoration, visual comfort and display consistency in different application scenarios are improved.

This invention provides a method and system for security authentication and operation management of power substation maintenance personnel based on iris recognition, belonging to the field of power substation operation and maintenance management technology. It pre-constructs a spatiotemporal correlation network between the iris features of maintenance personnel and dynamic operation permissions; at the main entrance of the substation, iris images are collected and matched at the main iris recognition terminal to generate a first identity identifier, extracting corresponding permission parameters and valid time windows; based on this, tasks to be executed are filtered and an authorized task list is generated and pushed for display; upon receiving the selected target task identifier, target equipment information is queried and sent to the device-level iris recognition terminal; the terminal performs secondary identity verification and joint permission verification, generating an operation permission command to drive the device to execute standard operations. This invention improves the security and reliability of power substation operation and maintenance management.

The present application relates to the field of financial security and biometric identification, in particular to a bank user identity verification method and system based on image recognition, comprising: obtaining a user's facial dynamic video and high-resolution iris image through a terminal; performing live detection and micro-expression analysis on the facial video to extract facial activity features, and performing texture enhancement and feature point positioning on the iris to extract iris structure features; fusing the two to generate an on-site biometric feature template, and comparing the template with a pre-stored registration template to generate a matching degree matrix; combining real-time transaction behavior and historical patterns to weight and calibrate the matching degree matrix, obtaining a calibrated score; determining the identity authenticity according to the comparison result of the calibrated score and the dynamic security threshold, and controlling account access and recording logs accordingly. The method enhances the anti-counterfeiting capability of live detection by analyzing micro-expression, and improves the adaptive security of identity verification for different risk scenarios through behavior context dynamic calibration.

A multi-dimensional iris access control verification method, system, medium and device, relate to the field of iris recognition technology. The method comprises: determining a first dimension verification result based on the number of personnel and the number of verification personnel in the preset registration library; determining a second dimension verification result based on the eye coordinate of each person and the eye coordinate in the preset registration library; comparing the target personnel qualified iris image currently traversed with each iris image in the preset registration library to determine the third dimension verification result corresponding to the target personnel until the third dimension verification result corresponding to each person is determined to be verification successful; when the first dimension verification result, the second dimension verification result and the third dimension verification result corresponding to each person are all verification successful, the access control is opened. The technical scheme provided by the application effectively avoids the situation that the iris is imitated and the illegal personnel enters, thereby improving the security of the access control.

The invention discloses an iris image recognition method and recognition device, and relates to the technical field of iris recognition. The method comprises the following steps: acquiring an original iris image and original acquisition condition parameters of a user, and acquiring a real-time iris image and a real-time acquisition condition parameter sequence of the user; according to the real-time collection condition parameter sequence and the original collection condition parameters, a change coefficient and an accidental coefficient are obtained through calculation, and the near pupil division number and the near sclera division number are configured; according to the near pupil division number and the near sclera division number, performing random division in a near pupil region and a near sclera region in the original iris image and the real-time iris image to obtain an original iris region image set and a real-time iris region image set; and identifying the original iris region image set and the real-time iris region image set to obtain an authentication coefficient as an iris image identification result. According to the invention, the iris image recognition precision in a complex environment is effectively improved.

The present application provides a kind of coal mine personnel positioning and safety control method and system based on iris recognition, it is related to mine safety monitoring technical field, first acquisition coal mine multiple iris acquisition module uploaded with module identifier and acquisition time stamp original iris image stream, it is dynamically scheduled and handled to generate the iris image set to be handled.For the eye image of miner in the iris image set to be handled Multi-modal iris feature collaborative extraction, generate multidimensional iris feature vector and input miner identity depth correlation network to carry out identity matching identification, obtain miner identity code and individual space-time trajectory original point set.Individual space-time trajectory original point set is projected to underground three-dimensional space coordinate system to generate the moving trajectory line of miner, after triggering safety control instruction generation operation after dynamic dangerous area boundary analysis.The present application improves the positioning accuracy and safety control level of coal mine personnel.

An iris authentication device includes: a camera that is installed at a position lower than a line of sight of an authentication target person; lighting that is installed either at a same height as the position of the camera or at a position lower than the camera and that irradiates the authentication target person with light; and an authentication unit that performs authentication of the authentication target person by collating an iris that appears in an image of the authentication target person with a pre-registered iris image, the image of the authentication target person being captured by the camera from lower front while the lighting is irradiating the light.