166 results about "Palm print" patented technology

Disclosed in the present invention are a palmprint recognition method and apparatus, which relate to the technical field of palmprint recognition authentication, and solve the problem of low palmprint recognition accuracy caused by incapability of correcting palm postures in the prior art. The palmprint recognition method comprises: acquiring a palm image to be recognized; performing key point detection on the palm image on the basis of a preset first key point detection method, so as to obtain a first palm key point set; constructing an affine transformation matrix on the basis of the first palm key point set; on the basis of the first palm key point set and the affine transformation matrix, performing alignment and extraction on the palm image by means of a preset alignment and extraction method, so as to obtain first palmprint information, the first palmprint information comprising a palmprint attention region and a palm key point set; and inputting the first palmprint information and pre-stored second palmprint information into a preset first recognition model, and outputting a recognition result. The present invention can align palm images and correct palm postures, and can refine the granularity of palmprint features, thus improving the precision and accuracy of palmprint recognition.

The invention provides a low-carbon intelligent safety roof system based on multi-information interaction, and the system comprises a roof integrated control module which achieves the integrated control based on an automobile roof structure. The layered structure is adopted, structures with different functions are mounted and integrated in a layered mode, the multifunctionality of an automobile roof is improved, sunroof palm print / gesture unlocking is adopted, a sunroof can be rapidly opened for escape in an emergency, CO2 / smoke concentration, temperature and infrared thermal imaging recognition in an automobile and accumulated water liquid level height are monitored in real time, and the safety of the automobile is improved. Through opening and closing of a roof skylight, an in-vehicle air conditioner, in-vehicle spraying and air exhaust ventilation, various problems of harming life and property safety during running or stopping of various automobiles are effectively avoided, and roof integrated control independent of an automobile console and low-carbon and environment-friendly manufacturing materials are adopted. Intellectualization, safety and low carbon of the roof are achieved through multi-information interaction, the limitation of single function design of a traditional roof system is broken through, and multifunctionality of the automobile roof is achieved.

The invention discloses a novel graph contrast learning framework with mutual information maximization, and relates to the technical field of graph contrast learning, multi-modal learning and mutual information maximization. The framework comprises the following steps: constructing a nearest neighbor graph, spreading similar samples to data of a missing mode, optimizing a loss function, and performing clustering optimization. The existing method has two main problems: (1) the existing method is mostly suitable for complete data and has a poor processing effect on data of a missing mode; and (2) the current palmprint and palm vein fusion recognition technology does not completely capture the complex relationship between the palmprint and palm vein features, resulting in inaccurate clustering result. According to the method, the modal loss in the incomplete palm print and palm vein fusion recognition task is effectively reduced, and the clustering performance is enhanced. According to the method, the mutual information maximization loss function is introduced, the adaptability and robustness of the model to incomplete data are effectively enhanced, and the method has high recognition precision and clustering performance when processing incomplete multi-modal data.

The invention discloses a non-contact palm vein multi-mode identification system based on deep learning. The system comprises a multi-mode image acquisition and processing terminal, a mode matching and identification decision terminal, a safety protection and anti-counterfeiting terminal and an iterative optimization terminal. The multi-modal image acquisition and processing terminal is used for acquiring palm print and palm vein images, performing dynamic calibration, image quality enhancement and preprocessing, and outputting multi-modal images; the mode matching and identification decision terminal is used for carrying out feature extraction, multi-modal feature fusion, mode matching and identification decision and outputting a final matching result; the safety protection and anti-counterfeiting terminal is used for carrying out living body detection, anti-counterfeiting monitoring and data encryption; and the iterative optimization terminal is used for realizing model lightweight, knowledge distillation, end-to-end optimization and continuous learning. According to the invention, through deformation invariant feature extraction and cross-modal attention fusion, the recognition accuracy and environmental adaptability in a complex state are improved.

The present invention relates to an artificial intelligence Four Pillars of Destiny (Bazi) fortune-telling apparatus and method, a recording medium containing a computer program capable of executing this method, an artificial intelligence Four Pillars of Destiny fortune-telling service system and method using the same, more specifically, to an apparatus and method that improves the accuracy of Four Pillars of Destiny fortune-telling by utilizing artificial intelligence (AI) machine learning, deep learning, and large language models (LLM) to analyze past Four Pillars of Destiny readings, thereby enabling users to improve their understanding of their own Four Pillars of Destiny fortune-telling, a recording medium containing a computer program, and a service system and method using the same. An artificial intelligence-based Four Pillars of Destiny (Bazi) analysis device according to an embodiment of the present invention is characterized in that, in response to input Four Pillars of Destiny information, a computing device including at least a processor outputs Four Pillars of Destiny analysis data through Four Pillars of Destiny analysis and analysis, and in order to improve the accuracy of Four Pillars of Destiny analysis, the data analyzed based on answers (question and answer) obtained through a multi-stage questioning process, is comprehensively analyzed (descriptive statistics and inference statistics) by combining physiognomy (image), palm lines - palmistry (image), voice / voice physiognomy (voice) data and the Four Pillars of Destiny of people with similar Four Pillars of Destiny, and then utilizes artificial intelligence (machine learning and deep learning, etc.).

Certain biometric authentication and verification methods use multiple biometric modalities of a given user in order to enhance their security. Circumvention of such methods sometimes involves presenting multiple biometrics as if they come from a single user when, in fact, they arise from more than one person. To thwart such attacks, it is necessary to bind multiple biometric modalities to each other. One binding method captures physiological signals of a user, such as pulse rate, in conjunction with the capture of each biometric. When the physiological signals associated with each of the biometric modalities match, the biometrics are bound. Another binding method captures an intermediate biometric when capturing each of the multiple biometric modalities. When the intermediate biometrics match, the multiple biometric modalities are bound. For example, for face and finger biometrics, a palm intermediate biometric may be used.

1. The name of the design product: the terminal device of the ladder control. 2. The use of the design product: used in the elevator, identify face, palm print, two-dimensional code, IC card access permission and display relevant state information. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: front view.

The embodiment of the disclosure provides a controllable palmprint sample generation method based on a stochastic differential equation; it relates to the field of computer vision. The method comprises constructing an unconditional diffusion model network architecture and defining a forward process and a reverse process; training an unconditional diffusion model according to the forward process and a palmprint image to obtain a noise image; according to the reverse process, the trained unconditional diffusion model is used for sampling the noise image to generate an unconditional palmprint sample; a conditional encoder is introduced into the trained unconditional diffusion model; the weights of the unconditional diffusion model are frozen, and the conditional encoder is trained according to a conditional image; when the conditional encoder loss function converges, the frozen weights are unlocked, and the unconditional diffusion model introduced with the conditional encoder is trained according to the forward process, the palmprint image and the conditional image; according to the reverse process, the trained unconditional diffusion model with the conditional encoder is used for sampling to generate a conditional palmprint sample. Thus, the palmprint sample authenticity, diversity and controllability are improved.

1. The name of the design product: biometric identification device. 2. The use of the design product: can identify palm vein, palm print and other information, carry out identity recognition and information acquisition, and is used in the fields of payment and access control identity recognition. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model discloses an access control all-in-one machine based on face and palmprint recognition, which relates to the technical field of face and palmprint recognition and comprises a shell, a lifting mechanism is arranged at the bottom of the shell and comprises a support, the support is fixedly connected to the bottom of the shell, a motor is fixedly connected to the inner side of the support, and the motor is fixedly connected to the bottom of the shell. An output shaft of the motor is fixedly connected with a rotating shaft through a coupler, the bottom end of the rotating shaft is fixedly connected with a ball screw, and the outer wall of the ball screw is movably connected with a ball nut. Through the arrangement of the lifting mechanism, the function of adjusting the height of the first display screen according to the height of a user can be achieved, in the using process, the motor is started to drive the first display screen to ascend and descend to the proper height, and the situation that the height cannot be adjusted according to the height of the user is avoided. And therefore, the application range and the flexibility of the access control all-in-one machine are ensured.

The invention relates to the technical field of data processing, in particular to an article deposit management system based on the Internet of Things, which comprises a data acquisition module, an authentication deposit module, a deposit space distribution module and a deposit environment sensing module. The system manages the locker subsequently, authenticates the identity of the user through the authentication and storage module, realizes high-precision identification according to double authentication of the iris and palmprint of the user, and adjusts the double authentication through environment information to realize high-precision identification. The storage space of the storage cabinet is intelligently distributed through the storage space distribution module, the distribution of the storage cabinet space is precisely corrected through the storage environment sensing module, the situation that the storage space is unreasonably utilized is avoided, it is guaranteed that a user obtains a proper storage environment for storing articles, and reasonable distribution of the storage space is achieved.

1. The name of the design product: palmprint identification device. 2. The use of the design product: can identify the palm information of human body, carry out identity recognition and information acquisition, and be used in the fields of payment, access control identity recognition, etc. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view 1.

1. The name of the design product: palmprint identification device. 2. The use of the design product: can identify the palm information of human body, carry out identity recognition and information acquisition, and be used in the fields of payment, access control identity recognition, etc. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view 1.

This application provides a method for determining an artificial palm print generation model performed by a computer device. The method includes: performing data augmentation on a first real palm print image of a first user to obtain a data-augmented first real palm print image; obtaining a first artificial palm print image corresponding to the first user using a deep learning model using the data-augmented first real palm print image and a first identity control curve of the first user; adjusting, when a degree of similarity between the data-augmented first artificial palm print image and the data-augmented first real palm print image is not less than a preset similarity threshold, parameters of the deep learning model; and determining, when the degree of similarity thereof is less than the similarity threshold, the deep learning model as the artificial palm print generation model.

The application relates to a user identification method and device combining biological characteristics, and relates to the field of user identification data processing, which comprises the following steps: identifying a palmprint angle and an image angle, analyzing palmprint angle similarities of the palmprint angle and a plurality of historical palmprint angle sequences, and analyzing image angle similarities of the image angle and a plurality of historical image angle sequences; obtaining a plurality of amount fluctuation similarities, combining the plurality of palmprint angle similarities and the plurality of image angle similarities, compensating and adjusting a plurality of palmprint probabilities and a plurality of image probabilities, obtaining a plurality of user probabilities, and outputting a user with the maximum user probability as a user identification result. The application can solve the technical problems that the traditional user identification method has low adaptability in a complex environment, cannot effectively identify the identity of a user, and has insufficient identification accuracy and reliability; through multi-modal information fusion, the precision, accuracy and reliability of user identity identification in a complex environment can be significantly improved.

A biometric recognition device for palm prints and palm veins includes: a light source being used to emit illuminating beams in a near-infrared band; a polarizing unit being used to convert the illuminating beams to polarized beams which are emitted to a palm; an imaging unit receiving retroreflected beams from a palm and being used to converge the retroreflected beams to a focal plane; a polarizing beam splitter forming transmitted beams and reflected beams based on different polarization directions of beams from the imaging unit, wherein the transmitted beams propagate after pass through the polarizing beam splitter, and the reflected beams propagate after reflected by the polarizing beam splitter. An identity authentication method is further provided. Based on the non-contact technical solution, only one light source is used to obtain the palm print images and palm vein images at the same time and in the same space.

The invention discloses a palm biological feature fusion recognition method and device, a storage medium and equipment, and belongs to the field of biological feature recognition. According to the method, the characteristic that the distribution positions of the palm print main line and the palm vein blood vessels are relatively fixed is utilized, the intersection points of the palm print main line and the palm vein blood vessels serve as the feature points, the feature point set used for registration and recognition is constructed, feature-level fusion of the palm prints and the palm veins is achieved, and comparison is conducted through the fused feature point set, so that the registration accuracy is improved. Therefore, palm biological feature fusion recognition is realized. According to the method, the advantages that the palmprint principal line for palmprint recognition is thicker, obvious and stable in feature and not prone to interference compared with other features, the blood vessel near-infrared imaging for palmprint vein recognition is hidden and not prone to interference, and the advantages of correlation and dependence of relative position distribution of palmprint and palmprint vein are combined, so that the accuracy of palmprint and palmprint vein recognition is improved, and the accuracy of palmprint and palmprint vein recognition is improved. The recognition precision and the recognition reliability of biological characteristics are greatly improved, and accurate recognition of palm prints and palm veins is achieved.

Provided herein are systems and methods for authenticating a customer for a completing different types of restricted transactions. More specifically, provided herein are biometric authentication systems and processes for completing transactions where the goods and services at issue are subject to one or more transaction conditions, such as age-related restrictions. The systems described herein involve a point-of-interaction device that facilitates biometric authentication by obtaining and verifying an individual's biometric information, such as fingerprints, palm prints, or facial scans. This biometric data is then used to determine whether the individual meets the necessary conditions for the restricted transaction, such as age verification. The system aims to enhance security and efficiency in transactions by eliminating the need for physical cards and reducing the risk of fraud.

The application provides a vehicle-mounted network security authentication method and system, comprising: in response to a user's OTA upgrade operation, sending an upgrade request for a vehicle end to a cloud; receiving a quantum key generated by the cloud in response to the upgrade request based on a quantum communication channel; collecting real-time palmprint information of the user, and generating a dynamic key based on dynamic characteristics of the real-time palmprint information; combining the dynamic key with the quantum key and generating a fused quantum key, encrypting and digitally signing an upgrade data packet based on the fused quantum key, and sending the encrypted upgrade data packet to the cloud for verification of the digital signature; in response to an authorization instruction sent from the cloud that the digital signature verification is passed, decrypting the upgrade data packet based on the quantum key and the dynamic key, and performing the OTA upgrade operation. The non-reproducibility of the fused quantum key and the uniqueness of the dynamic key eliminate the possibility of key cracking, and improve the security of vehicle-mounted software during the OTA upgrade process.

The utility model provides a simple palmprint recognition device, which comprises a shell provided with a first accommodating space; the mounting plate assembly is arranged on the shell; the cover plate assembly is connected with the mounting plate assembly in a matched manner; the button assembly is connected with the mounting plate assembly, and part of the button assembly penetrates through the mounting plate assembly and the cover plate assembly; the heat dissipation assembly is arranged in the first containing space, and an air outlet is formed in the side, close to the heat dissipation assembly, of the shell. The simple degree of the device is improved, and meanwhile the heat dissipation performance is further improved.

1. Name of the product in this design: Multimodal Biometric Device. 2. Purpose of this design: This design is a multimodal biometric identification device, which is installed on various pedestrian access gates to identify pedestrians through facial recognition, palm print, card swiping, and other methods. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

The invention relates to a contact person adding method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that an application interface of a target application is displayed, the target application logs in with a first account, and the application interface comprises a contact adding control which is used for collecting a palm print image; acquiring a palm print image in response to a triggering operation of adding a control to the contact person; under the condition that a terminal logged in by a second account associated with the palm print image is located at the current login position of the first account, playing an audio for prompting account addition; and when the speaking sound used for confirming account adding is collected and the speaking sound is associated with the second account, the second account is added as the contact of the first account, so that the user experience in the contact adding process is improved.

The invention discloses a method for recognizing palm prints and palm veins in a missing mode based on multi-level knowledge distillation, and provides three innovation points aiming at the problem that semantic information of different levels of a teacher network cannot be fully mined by a traditional distillation method: (1) knowledge distillation is carried out on three progressive levels of the teacher network, and in addition, the knowledge distillation is carried out on the three progressive levels of the teacher network; logic output is also subjected to fine-grained alignment, and it is ensured that the reasoning network fully learns overall semantic knowledge of the teacher network. (2) proposing a cross-modal feature distribution correlation distillation mechanism, and encouraging the reasoning network to learn representation correlation knowledge among modals instead of focusing on transmission of knowledge in a single modal; and (3) providing structural knowledge of distribution angles and distances of feature vectors of different samples in a high-dimensional space based on structural knowledge distillation among samples guided by classification boundaries, and meanwhile, enabling the inference network to pay more attention to the samples with classification uncertainty through a classification boundary guiding mechanism so as to refine the extracted structural knowledge.

1. The name of the design product: palmprint identification device. 2. The use of the design product: can identify the palm information of human body, carry out identity recognition and information acquisition, and be used in the fields of payment, access control identity recognition, etc. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

1. The name of the design product: palmprint identification device. 2. The use of the design product: can identify the palm information of human body, carry out identity recognition and information acquisition, and be used in the fields of payment, access control identity recognition, etc. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view 1.

The present application relates to the field of palm print-based payment, and discloses a palm print acquisition method and apparatus, a device, and a storage medium. The apparatus comprises conveying belts that are arranged in a crisscross manner, and a supporting frame; a palm print acquisition assembly is fixedly mounted at the center of the transverse conveying belt; a belt body of the transverse conveying belt is sleeved in a first slide groove, and the first slide groove is fixedly mounted on the longitudinal conveying belt; a belt body of the longitudinal conveying belt is sleeved in a second slide groove, and the second slide groove is fixedly mounted on the supporting frame; the transverse conveying belt and the longitudinal conveying belt are respectively controlled by a first stepper motor and a second stepper motor to realize transverse and longitudinal sliding. The apparatus can identify an acquired palm shape, and determine a palm orientation and a palm deflection angle on the basis of the palm integrity and key points. For leftward or rightward deviation of a palm, an aperture can be moved to a position directly facing the center of the palm by leftward or rightward moving the transverse conveying belt of the apparatus. For upward or downward deviation of the palm, the aperture is moved to the position directly facing the center of the palm by upward or downward moving the longitudinal conveying belt of the apparatus.

The invention relates to a method for rapidly extracting palm vein information from a palm print image, and belongs to the technical field of vein recognition and information security, and the method comprises the following steps: collecting the palm print image through a mobile terminal, converting the palm print image into an RGB data format, and then carrying out adaptive adjustment; carrying out filtering processing on the RGB three-channel image of the palmprint image after adaptive adjustment; extracting palmprint features, and performing feature fusion by using the palmprint features of the palmprint image in the R, G and B channels to obtain palmprint fusion features in the palmprint image; the palm vein information is extracted based on the palm print fusion features in the palm print image, the palm vein technology can be directly applied to the mobile terminal equipment, the similarity between the palm vein image and the palm vein image collected by a professional palm vein image collector is larger than 99%, the palm vein information is quite accurate, the accuracy of identity recognition is improved, and the user experience is improved. And the false identification rate is reduced.

The application relates to the technical field of biometric image recognition, and discloses an image fusion recognition method, device, medium and equipment based on an ultralight network, the method comprising the following steps: adopting an improved Co3Net network module to perform feature extraction on inputted multi-modal images to obtain multi-scale features; adopting an ultralight network module to perform feature extraction on the inputted multi-scale features to obtain global features; adopting a self-attention mechanism module to draw a self-attention graph according to the inputted global features; adopting a forward propagation unit to perform forward propagation on the self-attention graph to obtain final forward propagation output; and adopting a classifier to obtain a multi-modal image classification label according to the final forward propagation output. The application can reduce the calculation complexity and parameter quantity of a palm print and palm vein recognition method, and solves the problem that the method is difficult to efficiently run on resource-limited embedded devices and mobile terminals.

The application discloses a multispectral palmprint recognition method, system and device based on a fusion extreme learning machine, relates to the palmprint recognition technical field, and comprises the following steps: inputting a multispectral palmprint image to be recognized into a multispectral palmprint recognition network model to obtain palmprint identity information; wherein the multispectral palmprint recognition network model is obtained by training a fusion extreme learning machine through a joint loss function and multiple training data; the fusion extreme learning machine comprises multiple extreme learning machine network models and an identity recognition module connected with the output end of each extreme learning machine network model; different extreme learning machine network models are used for inputting palmprint images of different spectral bands; and the joint loss function is a loss function composed of a network structure loss function, a multispectral fusion prediction loss function and a single-spectrum prediction loss function. The application can recognize palmprint identity information with high precision.

1. The name of this design product: 3D scanner. 2. Purpose of this design product: This design product is a non-contact scanner for scanning fingerprints or palm prints. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design.