Abstract: The present invention relates to an apparatus and a method for acquiring an iris image outdoors and indoors and, specifically, to an apparatus and a method for acquiring an iris image outdoors and indoors, the apparatus comprising: a lens for receiving the iris image; an image sensor for sensing the iris image inputted through the lens; and a memory for storing the iris image sensed by the image sensor, wherein a band-pass filter using all or parts of outdoor iris recognition wavelength bands (920-1,500 nm) in order to acquire the iris image in which a reflected image is prevented or a reflected noise is reduced, which are generated when the iris image is photographed indoors and outdoors and, particularly, outdoors, is provided at the front end of the image sensor, and an infrared lighting having at least one wavelength passing through the wavelength bands of the provided band-pass filter is provided.

Abstract: In one respect, there is provided a system that may include a processor and a memory. The memory may be configured to store instructions that results in operations when executed by the processor. The operations may include: training a machine learning model by at least processing a training set with the machine learning model, the training set including at least one synthetic image that is generated by applying one or more modifications to a non-synthetic image; determining, based at least on a result of the processing of the mixed training set, that the machine learning model is unable to classify images having a specific modification; and training the machine learning model with additional training data that includes one or more additional synthetic images having the specific modification. Related methods and articles of manufacture are also disclosed.

Abstract: A method for box filtering includes obtaining, by a computing device, a form image, and identifying, by the computing device, a region of the form image that includes boxes. Vertical lines in the region of the form image are detected. The boxes in the region are detected according to the plurality of vertical lines, and image content is extracted from the boxes.

Abstract: The present invention relates to an apparatus for displaying medical image data of a body part. It is described to provide (12) medical data of a body part, and subsets of medical image data from the medical data are determined (14). A plurality of measures of information content for the subsets of medical image data is determined (16), wherein a measure of information content is associated with a subset of medical image data. A plurality of weighting factors for the subsets of medical image data is determined (18), wherein a weighting factor is associated with a subset of medical image data and the weighting factor is determined as a function of the measure of information content for that subset of medical image data. Data representative of the subsets of medical image data is output (22) as a function of the plurality of weighting factors.

Abstract: Embodiments of this application disclose an image presentation control method and an image presentation control apparatus. The method comprises: acquiring at least one piece of background information corresponding to a presentation background of a first region; determining at least one presentation region parameter of at least one image at least according to the at least one piece of background information; and presenting, in the first region, the at least one image according to the at least one presentation region parameter. In the embodiments of this application, according to a background environment feature of a first region, an appropriate region is selected for image presentation before an image is presented, thereby optimizing the visual presentation effect corresponding to the image and improving the user experience.

Abstract: A fingerprint sensor and a correction method thereof are provided. The fingerprint sensor includes a sensing part to be touched by a finger, including sensing units, a processing unit, and a correction unit; the sensing unit is configured to sense, when correction starts, a fingerprint signal and output first data; the processing unit is configured to calculate, according to a mathematical model, a new correction coefficient of the corresponding sensing unit by the first data; and the correction unit is configured to correct, according to the new correction coefficient, second data output by the corresponding sensing unit. The fingerprint sensor can automatically modify a correction coefficient when a physical characteristic of the fingerprint sensor changes, thereby reducing the product return rate and prolonging the product service life, omitting a step of correction before delivery, and reducing the manufacturing difficulty and the manufacturing costs.

Abstract: A method for generating a composite image having an increased image pixel density by an array of ultrasonic transducers having a given spatial density is provided. The method comprises capturing a first set of pixels at an ultrasonic sensor using a first beamforming pattern, wherein the first beamforming pattern comprises a first pattern of ultrasonic transducers of the ultrasonic sensor. The method further comprises capturing a second set of pixels at the ultrasonic sensor using a second beamforming pattern, wherein the second beamforming pattern comprises a second pattern of ultrasonic transducers. The first beamforming pattern and the second beamforming pattern are different. Pixels of the second set of pixels correspond to positions between pixels of the first set of pixels. The method additionally comprises combining the first and second sets of pixels to form the composite image. An electronic device and a method of generating an image of a fingerprint are also provided.

Abstract: A device is provided to include a display panel and an optical sensor module. The optical fingerprint sensor can detect an contact input and generate a signal indicative of an image of the fingerprint and to generate a signal indicative of a biometric marker different form the fingerprint. The generated sensor signal includes the signal indicative of the image of the fingerprint and the signal indicative of the biometric marker different from the fingerprint. The optical sensor module can capture different fingerprint patterns at different times to monitor time-domain evolution of the fingerprint ridge pattern deformation that indicates time-domain evolution of a press force from the contact input. The sensing circuitry can process the generated sensor signal to determine whether the contact input associated with the fingerprint belongs to a finger of a live person.

Abstract: Various embodiments for performing services on hardware by use of a mobile user device incorporating a processor. Identifying information of the hardware is recognized. An appropriate action plan, based on the recognized hardware and any service history previously associated with the hardware, is selected. The selected action plan is verified against the hardware.

Abstract: A method and apparatus for generating a facial expression may receive an input image, and generate facial expression images that change from the input image based on an index indicating a facial expression intensity of the input image, the index being obtained from the input image.

Abstract: An apparatus for identifying a fake fingerprint includes a housing, a prism, a first light source unit, a second light source unit, a sensor unit and a control unit. The prism is disposed in the internal space of the housing. The first light source unit irradiates light in the internal space to allow the light to pass through the prism. The second light source unit irradiates light to allow the light not to pass the prism. The sensor unit acquires a first image through the first light source unit and a second image through the second light source unit. The control unit identifies a fake fingerprint on the basis of a result acquired by comparing the first image and the second image. The housing includes a light irradiating unit that fixes and supports the second light source unit to form a predetermined angle with the fingerprint contact surface.

Abstract: The present disclosure discloses a living body identification method, an information generation method, and a terminal, and belongs to the field of biometric feature recognition. The method includes: providing lip language prompt information, the lip language prompt information including at least two target characters, and the at least two target characters being at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range; collecting at least two frame pictures; detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; and determining that the to-be-identified object is a living body, if the preset condition is met.

Abstract: This posture state estimation device is capable of estimating with high accuracy the posture state of an object. The posture state estimation device (100) is a device for estimating the posture state of an object having a plurality of sections connected by joints on the basis of image data that images the object, and has a section candidate extraction unit (140) for extracting a section candidate for a section from the image data, a complementary section candidate extraction unit (160) which estimates that a portion of an unextracted section for which a section candidate has not been extracted is being shadowed by an already extracted section for which a section candidate has been extracted in order to extract a section candidate of the unextracted section, and a posture state estimation unit (170) for estimating the posture state of the object on the basis of the extracted section candidate.

Abstract: A method for enhancing user liveness detection is provided that includes calculating, by a computing device, parameters for each frame in a video of captured face biometric data. Each parameter results from movement of at least one of the computing device and the biometric data during capture of the biometric data. The method also includes creating a signal for each parameter and calculating a similarity score. The similarity score indicates the similarity between the signals. Moreover, the method includes determining the user is live when the similarity score is at least equal to a threshold score.

Abstract: An object recognition apparatus is disclosed. The present apparatus includes a storage unit for obtaining an initial image of a preset object and storing the initial image as a reference image; and a control unit for obtaining a first additional image of the preset object, determining whether the size of the first additional image relative to the initial image meets a first preset condition and additionally storing the first additional image as a reference image if the first additional image meets the preset condition.

Abstract: A device is provided to include a display panel and an optical sensor module. The optical fingerprint sensor can detect an contact input and generate a signal indicative of an image of the fingerprint and to generate a signal indicative of a biometric marker different form the fingerprint. The generated sensor signal includes the signal indicative of the image of the fingerprint and the signal indicative of the biometric marker different from the fingerprint. The optical sensor module can capture different fingerprint patterns at different times to monitor time-domain evolution of the fingerprint ridge pattern deformation that indicates time-domain evolution of a press force from the contact input. The sensing circuitry can process the generated sensor signal to determine whether the contact input associated with the fingerprint belongs to a finger of a live person.

Abstract: A system assesses the integrity of a digital image by detecting an edge in the digital image and defining a patch of pixels encompassing the edge. The system then generates data relating to intensity and gradient magnitude for pixels in the patch, analyzes the data relating to intensity and gradient magnitude, and determines that the digital image has been forged or the digital image has not been forged based on the analysis of the data relating to intensity and gradient magnitude.

Abstract: Techniques for multi-phase scanning based on pseudo-random sequences in capacitive fingerprint applications are described herein. In an example embodiment, a method performed by a processing device comprises: receiving measurements that are representative of a portion of a finger on a capacitive fingerprint sensor array, where the measurements are obtained from sensor elements of the capacitive fingerprint sensor array that are scanned in a multi-phase mode based on an excitation vector generated from a pseudo-random sequence; and generating a fingerprint image for the portion of the finger based on the measurements.

Abstract: Provided is an image processing apparatus, an image processing method, and a program, which are capable of accurate collation even when an image contains a number of identical or similar subjects. The image processing apparatus of the present invention has: first feature amount generating means for generating, with respect to a plurality of feature points to be detected from a first image, a first local feature amount group including local feature amounts representing feature amounts of a plurality of local regions containing the respective feature points, and a first coordinate position information group including coordinate position information; region dividing means for clustering the feature points of the first image based on the first coordinate position information group; and collation means for collating, in units of clusters, the first local feature amount group with a second local feature amount group formed from local feature amounts of feature points detected from a second image.

Abstract: A method and system determine a three-dimensional (3D) pose of an object and 3D locations of landmark points of the object by first obtaining a 3D point cloud of the object. 3D surface patches are extracted from the 3D point cloud, and a parametric model is fitted to each 3D surface patch to determine a set of descriptors. A set of correspondences between the set of descriptors and a set of descriptors of patches extracted from 3D point clouds of objects from the same object class with known 3D poses and known 3D locations of landmark points is determined. Then, the 3D pose of the object and 3D locations of the landmark points of the object are estimated from the set of correspondences.