111 results about "Iris image" patented technology

The present application provides an iris recognition method and apparatus, an electronic device, and a storage medium. The method comprises: obtaining an iris image group acquired for an object to be recognized, wherein the iris image group comprises at least two iris images acquired at different acquisition angles for a same eye region of said object; performing stereo matching on the at least two iris images to obtain a disparity map between the at least two iris images, wherein the disparity map comprises disparity elements, and each disparity element represents a displacement amount in a specified direction between two pixel points corresponding to a same eye region element in the at least two iris images; in one iris image among the at least two iris images, determining a pupil edge on the basis of the displacement amounts; determining an iris region in the iris image on the basis of the pupil edge, and performing feature extraction on the iris region to obtain an iris feature; and performing identity recognition on said object on the basis of the iris feature.

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 present invention discloses a three-dimensional iris reconstruction and expansion method, which relates to the field of intelligent medical care. The method comprises the following contents: step one, generating a three-dimensional iris tag; step two, establishing an iris depth map prediction model; and step three, expanding the iris. The present invention utilizes the anatomical constraint relationship between multiple iris images in a video stream to accurately predict iris depth information, realize three-dimensional iris reconstruction, and expand the iris into a two-dimensional rectangular image and depth map. The method overcomes the defect of insufficient depth of a traditional single image and utilizes multiple pictures in a video to predict iris image depth information. The iris textures between the iris pictures have an anatomical constraint relationship, which can effectively predict iris image depth information, improve the robustness of iris recognition, and is suitable for a variety of application scenarios.

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 present application provides an iris registration method, an iris recognition method, a computer device and a storage medium, the iris registration method comprising: acquiring an iris image combination corresponding to a target user, the iris image combination comprising a plurality of iris images of the target user, the plurality of iris images being iris images corresponding to different angles; calculating three-dimensional iris point cloud data based on the iris image combination, the three-dimensional iris point cloud data being used for reflecting iris features of the target user and spatial positions of the iris features; and according to the three-dimensional iris point cloud data, generating a target three-dimensional iris model of the target user, the target three-dimensional iris model being used for reflecting iris curved surface features of the target user. According to the technical scheme, the security of the iris recognition technology can be improved.

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.

An information processing device detects iris images of cosmetic lenses. A candidate extraction means extracts different iris images corresponding to the same person to be a cosmetic lens candidate. A confidence level calculation means matches iris features of the cosmetic lens candidate with iris features of other cosmetic lenses, and calculates a confidence level indicating a cosmetic lens likelihood. A determination means determines that the cosmetic lens candidate is a cosmetic lens with respect to the calculated confidence level that is equal to or higher than a predetermined threshold value.

The invention discloses an iris modeling method, device and equipment, a medium and a program product, and belongs to the field of iris modeling. The method comprises the following steps: acquiring an iris image; constructing an inner and outer contour model based on the iris image, wherein the inner and outer contour model is used for representing curve features of an inner contour and an outer contour of an iris in a two-dimensional plane; for at least one feature point on the iris, elevation information of the at least one feature point is calculated, and the elevation information is used for indicating height information of the feature point relative to the two-dimensional plane; and constructing a three-dimensional curved surface model of the iris based on the inner and outer contour models and the elevation information of the at least one feature point. According to the method, the three-dimensional curved surface model of the iris is constructed based on the iris image, the three-dimensional curved surface model can be applied to the fields of iris recognition, ophthalmology medical treatment, iris reconstruction and the like, particularly, a three-dimensional iris model, namely the three-dimensional curved surface model is used in the field of iris recognition, curved surface information in the iris can be better utilized, and the iris recognition efficiency is improved. And the accuracy of iris recognition is improved.

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.

According to the iris information amount and complex field feature low-computing-power scene identity verification method, after feature data of template iris convolution data of a template tester after convolution processing is carried out, the optimal partitioning dimension is obtained through an analysis result of each sub-block based on the information amount of the iris so as to partition an image, and then the feature data of the template iris convolution data of the template tester are obtained; the method comprises the following steps: determining whether a stable relationship exists between sub-blocks according to a preset threshold value, further determining whether the sub-blocks with the stable relationship are a constant relationship, performing two-stage verification on test iris feature data of a tester based on an established constant relationship set, and finally determining whether the tester belongs to a template tester. According to the method, a segmentation scheme which can best reflect iris texture features is accurately selected through a texture region guide segmentation strategy based on the information amount, traditional real number field feature expression is expanded to a complex number space, complex changes of iris textures can be more comprehensively described, the problem of uncertainty of iris image acquisition is effectively solved, and the iris image acquisition accuracy is improved. And the practicability and adaptability of the system are enhanced.

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 present disclosure relates to the field of iris recognition technology and provides an iris recognition method, apparatus, medium, and device based on uncertainty modeling, comprising: obtaining iris image data and inputting it into a pre-built iris recognition model; performing pixel-level modeling on the image data using an uncertainty modeling module to extract the mean and variance features of each pixel, and generating an uncertainty feature representation and an iris feature template based on the extraction results and a re-parameter sampling strategy; generating a variance scaling map based on a dynamic mask generation module and image data, and generating a dynamic feature mask using the variance scaling map and a dynamic threshold judgment strategy; and determining target identity information based on a preset iris template database, the iris feature template, and the dynamic feature mask to complete identity recognition. By combining the iris feature template and the dynamic feature mask of the iris image, the present disclosure improves the accuracy and robustness of iris recognition, maintaining high recognition accuracy under varying conditions such as different lighting conditions.

The invention relates to the technical field of iris recognition, and provides an iris recognition method and device based on uncertainty modeling, a medium and equipment, and the method comprises the steps: obtaining iris image data, and inputting the iris image data into a pre-constructed iris recognition model; performing pixel-level modeling on the image data through an uncertainty modeling module, extracting a mean value feature and a variance feature of each pixel, and generating uncertainty feature representation and an iris feature template based on an extraction result and a re-parameter sampling strategy; a variance zoom graph is generated based on the dynamic mask generation module and the image data, and a dynamic feature mask is generated through the variance zoom graph and a dynamic threshold judgment strategy; and determining target identity information based on a preset iris template database, the iris feature template and the dynamic feature mask to complete identity recognition. According to the iris recognition method and device, the iris feature template and the dynamic feature mask of the iris image are combined, the accuracy and robustness of iris recognition are improved, and high recognition precision can still be maintained under the changing conditions of different illumination and the like.

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 a rainbow film intelligent quality detection method and system based on image recognition, and relates to the technical field of image processing, and the method comprises the steps: carrying out the convolution of a rainbow film image through employing a Sobel operator, generating a binary mask, generating a filtered morphological brightness image, carrying out the one-dimensional Fourier transform of the filtered morphological brightness image, and obtaining a morphological brightness image; using an arc tangent binary function to calculate a direction angle of a complex rotation, extracting a main phase field, calculating a continuous phase field, performing convolution operation on the continuous phase field, and generating a smoothed continuous phase field; and calculating a gradient mode of the smoothed continuous phase field to generate a binary defect mask. According to the method, a high-quality form brightness graph is generated through multi-level feature extraction and self-adaptive segmentation, stripe continuity and defect distinguishability are enhanced, a defect area is self-adaptively recognized by constructing a smooth and continuous phase field in combination with a statistical threshold, and the robust recognition capability of a complex interference pattern is improved.

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.

A ophthalmic laser-assisted corneal lenticule extraction procedure that uses wavefront measurements to guide the formation of the corneal lenticule. The wavefront map measured from a free eye using a wavefront aberrometer is registered to the cornea of a docked eye based on comparisons of iris images and corneal markings. The docked-eye cornea-registered wavefront map is then corrected to be consistent with the Munnerlyn formula for the spherical power, and adjusted for any physician adjustments and / or myopia error due to a flat add in the lenticule, using Zernike polynomials. The corrected and adjusted wavefront map is then used to calculate the profiles of the bottom and top lenticule incisions in the applanated cornea, where higher-order components in the wavefront map are distributed to the bottom lenticule incision alone and lower-order components in the wavefront map are distributed to both the bottom and the top lenticule incision.

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.

This wearable device comprises: an imaging means for imaging an iris of a subject wearing the wearable device and generating an iris image including the iris; a person authentication means for determining, by using the iris image, whether the subject is the person to be authenticated; a detection means for detecting whether the subject is wearing the wearable device; and a control means for performing control on the basis of the detection results so that the person authentication means does not operate until the authenticated subject removes the wearable device.

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.

This information processing system comprises: an extraction unit that extracts iris information to be used for iris authentication from an iris image; and a quality score calculation unit that calculates a quality score indicating the quality of the iris image on the basis of the extracted iris information.