Abstract: Some disclosed methods involve randomly or pseudo-randomly selecting one fingerprint authentication case from a plurality of fingerprint authentication cases stored in a memory, each of the fingerprint authentication cases corresponding to one or more fingerprints used during an authentication process, the fingerprint authentication cases including a plurality of multiple-fingerprint authentication cases for which two or more fingerprints are used during the authentication process.

Abstract: A monitoring system includes a memory, and a processor coupled to the memory and configured to detect a face area of a subject from a captured image divided into a plurality of blocks according to a number of light emitting elements that irradiate an image capturing range, and control a light emission intensity of a light emitting element corresponding to a block including the face area among the plurality of blocks according to one of a position of the face area and a size of the face area.

Abstract: To provide a probability acquisition apparatus and the like that can provide accurate probabilities of a match and a mismatch between two three-dimensional images of a target object, a probability acquisition apparatus performs zebra shading processing on a first image that is a three-dimensional image of an automotive clay model and a second image that is a 3D-CAD image to obtain a first zebra image and a second zebra image, obtains a first selected image from the first zebra image with noise removed and a second selected image from the second zebra image with features extracted, and inputs a superimposition image of the first selected image and the second selected image to a CNN 15b to thereby obtain a probability of a match between the first selected image and the second selected image.

Abstract: A dynamic biometric identity verification system for verifying an identity of a person. The system includes an identity verification device and a biometric data memory storing an identification pair including an identifier and biometric data of the person. The identification verification device using the biometric data to verify the identity of the person, effectuating a proof-of liveness test and requirement, by dynamically generating and/or selecting challenge questions and comparing answers to those questions with the stored biometric data.

Abstract: A method, apparatus, device, and storage medium for transforming a hairstyle are provided. The method may include: determining a face bounding box according to information on face key points of acquired face image; constructing grids according to the face bounding box; deforming, by using an acquired target hairstyle function, edge lines of at least a part of the constructed grids, which comprises the hairstyle, to obtain a deformed grid curve; determining a deformed hairstyle in the face image according to the deformed grid curve.

Abstract: A method of examining digestive tract images is provided. The method of examining digestive tract images include: obtaining a basic image taken by a photographing apparatus; obtaining a set H of pixels with Hue in the range of D1 in the basic image; obtaining a set S of pixels with Saturation in the range of D2 in the basic image; obtaining a set of pixels with Value in the range of D3 in the basic image, and recording it as an effective pixel range; selecting all pixel sets of the set H and the set S in the effective pixel range to form a detection graph block; examining whether the basic image is an unclean image according to the detection graph block. The present invention further provides a method of examining the cleanliness of the digestive tract, a computer device, a computer-readable storage medium thereof.

Abstract: A method of manufacturing an electronic module includes providing a base substrate having a first surface, providing a first supporting element having a first portion with an inclined top surface, and affixing the first supporting element to the first surface such that the inclined top surface is inclined with respect to the base substrate. A first reflector is coupled to the inclined top surface such that a rear surface of the first reflector is in physical contact with the inclined top surface of the first portion of the first supporting element, and a spacer structure is configured to form an interface for mounting lateral walls to the base substrate. A cap is positioned over and supported by the lateral walls to thereby define a chamber. The emitter, as well as a detector, are coupled to the first surface of the base substrate.

Abstract: An electronic device for identifying and tracking at least one target, including: a receiver module configured to receive images from a network of image sensors; a determination module configured to determine visual signatures of a respective target from the received images, each visual signature being determined from a respective image including a representation of the target, each visual signature being in the form of a vector in multi-dimensional space; a first filtering module configured to filter the visual signatures; a computation module configured to compute a reference visual signature, in multi-dimensional space; a detection module configured to detect an appearance of the target, and a second filtering module.

Abstract: An information processing apparatus, including: a feature point detecting unit configured to detect a feature point from an image including biological information obtained via a sensor unit; and a feature value extracting unit configured to extract a feature value that characterizes the feature point based on a peripheral image including the feature point.

Abstract: A projection is determined in a semiconductor image, which can be an X projection and/or a Y projection. At least one threshold is applied to the projection thereby forming at least one segment within the region. A fine segment can be determined in the region using a distance value from the projection. Defect detection can be performed in one of the fine segments.

Abstract: A public opinion acquisition method and device, a word viscosity model training method and device, a server, and a medium are provided in the present disclosure. And the present disclosure relates to the technical field of artificial intelligence, specifically to image recognition and natural language processing, which can be used in a cloud platform. A video public opinion acquisition method includes: receiving a public opinion acquisition request, the public opinion acquisition request including a public opinion keyword to be acquired; matching the public opinion keyword to be acquired with video data including a recognition result, wherein the recognition result is obtained by performing predefined content recognition on the video data, the predefined content recognition including text recognition and image recognition; and determining video data that matches with the public opinion keyword to be acquired as result video data.

Abstract: A method of securing biometric information may involve obtaining a digital image that contains biometric information. The method may involve identifying at least one region of the digital image that contains the biometric information and masking the biometric information. The biometric information may be a user's fingerprint and the user's fingerprint may be sufficiently masked that the masked fingerprint would not be accepted as authentic by most or all biometric authentication systems as matching the original fingerprint.

Abstract: A method of predicting patient deterioration includes receiving an electronic health record data set of the patient, determining a risk score corresponding to the patient by analyzing the electronic health record data set of the patient using a trained machine learning model, determining a threshold value using an online/reinforcement learning model, comparing the risk score to the threshold value, and when the risk score exceeds the threshold value, generating an alarm. A non-transitory computer readable medium includes program instructions that when executed, cause the computer to receive a list of patients, display selectable patient information corresponding to each of the list of patients according to an ordering established by a feature importance algorithm, receive a selection, retrieve vital sign information corresponding to the selection, and display the vital sign information.

Abstract: A method and apparatus for waking up a device, an electronic device, and a storage medium are provided, which are related to fields of image processing and deep learning. The method includes: acquiring an environment image of a surrounding environment of a target device in real time, and recognizing a face region of a user in the environment image; acquiring a plurality of facial landmarks in the face region, and acquiring a left eye image and a right eye image according to the facial landmarks; acquiring a left eye sight classification result and a right eye sight classification result according to the left eye image and the right eye image; and waking up the target device in a case of determining that the user is looking at the target device according to the left eye sight classification result and the right eye sight classification result.

Abstract: An information processing system includes a vehicle, and a server communicable with the vehicle. The vehicle includes a first acquisition unit configured to acquire first vital information on a user who boards the vehicle. The vehicle is configured to transmit to the server the first vital information on the user acquired with the first acquisition unit. The server is configured to prestore first vital information and settlement information on a registered user, determine whether or not the user is the registered user based on the first vital information on the user received from the vehicle and the first vital information on the registered user, and execute, when determining that the user is the registered user, a settlement process based on the settlement information on the registered user.

Abstract: Computer-implemented machines, systems and methods for managing missing values in a dataset for a machine learning model. The method may comprise importing a dataset with missing values; computing data statistics and identifying the missing values; verifying the missing values; updating the missing values; imputing missing values; encoding reasons for why values are missing; combining imputed missing values and the encoded reasons; and recommending models and hyperparameters to handle special or missing values.

Abstract: A fingerprint recognition detection circuit includes an operational amplifier, an integrating capacitor and a first switch connected in series, and a second switch. A non-inverting input terminal of the operational amplifier is coupled to a reference voltage terminal, and an inverting input terminal of the operational amplifier is coupled to a fingerprint sensing capacitor. The integrating capacitor and the first switch are coupled between the inverting input terminal of the operational amplifier and an output terminal of the operational amplifier. The second switch is coupled between the inverting input terminal of the operational amplifier and the output terminal of the operational amplifier.

Abstract: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Abstract: A system and method interpret optical characterization examinations performed with a set of optical devices. Each device comprises one or more arrays of optical metasurface structures and have arrays tailored to have distinct properties making them differ from one another. First data and second data are accessed that capture a physical fingerprint of each device and an outcome of an optical characterization examination performed with each device, respectively. The outcomes of examinations performed are impacted by the respective, distinct properties of the arrays. Each device is identified based on the first data accessed, which makes it possible to obtain a readout key associated with the identified device. This readout key accounts for the respective one of the distinct properties. Finally, the second data are interpreted according to the readout key obtained to elucidate the outcome of the optical characterization examination. The invention is further directed to related computer program products.

Abstract: A device for liveness detection is disclosed. The liveness detecting device has a simplest structure that principally comprises a light sensing unit and a signal processing module. Particularly, the signal processing module is configured for having a physiological feature extracting unit and a liveness detecting unit therein. The physiological feature extracting unit is adopted for extracting a first physiological feature from a PPG signal, or extracting a second physiological feature from the PPG signal that has been applied with a signal process. As such, through the first and second physiological features, the liveness detecting unit is able to determine whether a subject is a living body or not. The liveness detecting device does not use any camera unit and iPPG technology, such that the liveness detecting device has advantages of simple structure, low cost and immediately completing liveness detection.