Abstract: A biometric sensing system includes discrete ultrasonic transducers, a first electrode layer disposed over a first surface of the discrete ultrasonic transducers, and a second electrode layer disposed over a second surface of the discrete ultrasonic transducers. The first electrode layer includes discrete electrode members. Each discrete electrode member spans two or more discrete ultrasonic transducers. The second electrode layer includes discrete electrode elements, with a discrete electrode element disposed over the second surface of one ultrasonic transducer. Drive circuitry is operably connected to the first electrode layer, and readout circuitry is operably connected to the second electrode layer.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a first video represented based on a first set of image frames. A first subset of image frames can be extracted from the first set of image frames. The first subset of image frames can be compared to one or more image frames associated with a collection of video clusters. It can be determined that at least a threshold quantity of image frames in the first subset matches, within an allowable deviation, at least some image frames associated with a first video cluster included the collection of video clusters. The first video cluster can be defined to include the first video.

Abstract: Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes communication interface and processing circuitry that is adapted in hardware to receive a data streams of an intensity image and a depth image in real-time and provide intensity labels for image regions within the intensity image that match a given intensity threshold and provide depth labels for image regions within the depth image that match a given depth threshold. The processing circuitry is also adapted in hardware to find intensity extremal regions within the intensity image based upon the intensity labels and to find depth extremal regions within the depth image based upon the depth labels. The processing circuitry determines strong extremal regions based upon significant overlap between the intensity extremal regions and depth extremal regions. The processing circuitry then determines X-MSER ellipses parameters based upon the strong extremal regions and X-MSER criteria.

Abstract: A computer-implemented method of processing an input digital image is provided. The method includes forming a representation of the input digital image as wavelet components; and for each of a plurality of facial regions in the input digital image: forming a reconstructed facial region based on a subset of the wavelet components; and identifying pixels associated with facial wrinkles in the facial region as pixels In the reconstructed facial region that differ from corresponding pixels in the facial region by a first threshold amount.

Abstract: According to one embodiment, an image processing apparatus includes a calculation unit. The calculation unit is configured to calculate a first similarity degree group which is composed of similarity degrees between respective characters constituting a first character string appearing on a first image and respective candidate characters in a candidate character group, to calculate a second similarity degree group which is composed of similarity degrees between respective characters constituting a second character string appearing on a second image and the respective candidate characters, and to calculate a third similarity degree group which is composed of similarity degrees between respective characters constituting a third character string appearing on the second image and the respective candidate characters.

Abstract: Aspects of the present disclosure relate to a method includes training a deep neural network using training images and data identifying one or more business storefront locations in the training images. The deep neural network outputs tight bounding boxes on each image. At the deep neural network, a first image may be received. The first image may be evaluated using the deep neural network. Bounding boxes may then be generated identifying business storefront locations in the first image.

Abstract: An information detection and display apparatus, and detecting method and displaying method thereof are provided. The information detection and display apparatus includes: an optical sensor; a protective layer disposed on the optical sensor; and a display screen disposed underneath the optical sensor, wherein the display screen serves as a light source when the optical sensor is used for detecting optical information. The information detection and display apparatus can be used for generating optical fingerprint image, detecting finger touching, and displaying information. Thus, the information detection and display apparatus has multiple functions and applications.

Abstract: Implementations relate to detecting spherical images. In some implementations, a computer-executed method includes obtaining an image, examining at least one characteristic of the image, and determining that the image is a spherical image based on the at least one examined characteristic. The method modifies metadata associated with the image to designate the image for spherical display.

Abstract: A method and system for processing a handwritten response on a user-marked document having a response area and at least one image marker which includes a means for capturing a digital image of the user-marked response sheet and a computer having programming to perform steps including identifying spatial position information of the at least one image marker in the captured digital image, calculating position information of the response area in the captured digital image relative to the identified spatial position information of the at least one image marker, and identifying pixel-value data of the response area after the user creates marks on the user-marked response sheet.

Abstract: An image processing apparatus includes a receiving unit and a selecting unit. The receiving unit receives an image of a document. The selecting unit selects a character recognition result in a first frame of the document from plural character recognition candidates in the first frame on the basis of definition information defining a relationship between a character string in the first frame of the document and a character string in a second frame of the document different from the first frame.

Abstract: In one approach, a method includes: capturing an image of a document using a camera of a mobile device; performing optical character recognition (OCR) on the image of the document; extracting data of interest from the image based at least in part on the OCR; and validating the extracted data of interest against reference information stored on the mobile device. In another embodiment, a method includes: capturing an image of a document using a camera of a mobile device; performing optical character recognition (OCR) on the image of the document; extracting data of interest from the image based at least in part on the OCR; and validating authenticity of the document based on comparing some or all of the extracted data of interest to reference information stored on the mobile device.

Abstract: The invention provides a method for instantly recognizing and positioning an object, comprising steps of: a) wirelessly searching a wireless identification of the object; b) capturing a plurality of images of the object for each image capture; c) determining a 2D center coordinate (x, y) of the object based on a center coordinate (xw, yw) of the wireless identification of the object; d) transforming the captured images of the object to acquire a 3D pattern of the object, and comparing the 3D pattern of the object with 3D patterns pre-stored; and e) if the 3D pattern of the object matches with a pre-stored 3D pattern, calculating and obtaining a 3D center coordinate (x, y, z) of the object to recognize and position the object. The invention also provides a system and a processor enabling the method, and use of the system.

Abstract: An image sharing server provides several ways of sharing images between users. After a user contributes images to the image sharing server, the user can interact with the image sharing server to identify and tag people in the images, share the images with other users, and organize the images into memory boxes. Memory boxes can also be shared between users, and multiple users can be granted the ability to add images to a shared memory box. In addition, the image sharing server can prompt a user to share his or her images with other users who contributed related images. The image sharing server also performs facial recognition to automatically identify people in images, and facial recognition models can be shared between users.

Abstract: According to one embodiment, an image processing apparatus includes a calculation unit and a recognition unit. The calculation unit is configured to calculate a first similarity degree group which is composed of similarity degrees between respective characters constituting a first character string appearing on a first image and respective candidate characters in a candidate character group, and to calculate a second similarity degree group which is composed of similarity degrees between respective characters constituting a second character string appearing on a second image and the respective candidate characters in the candidate character group.

Abstract: Methods and systems are provided for obtaining and utilizing status information associated with persons and/or entities. Status information associated with a person or an entity may be determined based on information, associated with the person or the entity, in one or more applications and/or one or more databases. In this regard, an indication of the person or the entity may be detected in a frame (e.g., from a screen of a device), and the status information may comprise an indication of online or contact availability, via at least one of the one or more applications, associated with the indication of the person or the entity. In response to user input based on the status information, a communication session associated with one of said one or more applications may be imitated, to provide connectivity with the person or the entity.

Abstract: A fingerprint identification chip with enhanced ESD protection includes receiving pads disposed on a surface of a chip and arranged in a matrix format. The receiving pad has a central region and a peripheral region which surrounds at least an edge of the central region. The peripheral region of the receiving pad is higher than the central region.

Abstract: A method, apparatus, and computer readable medium for identifying a person in an image includes an image analyzer. The image analyzer determines the content of an image such as a person, location, and object shown in the image. A person in the image may be identified based on the content and event data stored in a database. Event data includes information concerning events and related people, locations, and objects determined from other images and information. Identification metadata is generated and linked to each analyzed image and comprises information determined during image analysis. Tags for images are generated based on identification metadata. The event database can be queried to identify particular people, locations, objects, and events depending on a user's request.

Abstract: Automated systems, methods and tools that automatically extract and select portions of an image to automatically generate a premium finish mask specific to the image which require little or no human intervention are presented. Graphical user interface tools allowing a user to provide an image and to indicate regions of the image for application of premium finish are also presented.

Abstract: A mobile terminal including a wireless communication unit configured to provide wireless communication; a display unit including a touch sensor and a fingerprint recognition sensor overlapped with the touch sensor; and a controller configured to deactivate the fingerprint recognition sensor, receive a finger touch input on the display unit, extract, from the touch sensor, touch information related to a touch region where the finger touch input has been applied on the display unit, activate the fingerprint recognition sensor when the extracted touch information indicates a sufficient finger touch input has been received, sense fingerprint information of the finger using the activated fingerprint recognition sensor, and perform fingerprint authentication with respect to the sensed fingerprint information based on the extracted touch information.

Abstract: A method and an apparatus are provided for providing a layout based on a handwriting input. A first input is received from a user. The first input includes handwriting data. A layout is created based on the handwriting data. A second input is received from the user. Content of the second input is arranged in the created layout.