A method of identifying an item includes: capturing by a camera an image of the item, searching in the image a predefined dot start and end codes, determining in the image directions of the predefined dot start and end codes, interpolating in the image a reading line to extend from the predefined dot start code to the predefined dot end code, where a direction of the reading line at the predefined dot start code corresponds to the direction of the predefined dot start code, where the direction of the reading line at the predefined dot end code corresponds to the direction of the predefined dot end code, reading along the reading line the dots from the image, and deriving the identification code from the dots as read along the reading line between the predefined dot start code and the predefined dot end code.

An image or a video may include a spherical capture of a scene. A punchout of the image or the video may be generated by placement of a viewing window at a center of a two-dimensional plane onto which the image or the video is mapped. The punchout of the image or the video may provide a panoramic view of the scene.

The present invention provides software, methods, and systems for characterizing an actual scan pattern of a scanning beam device. The characterization of the actual scan pattern may be used in an image remapping method and/or a drive signal remapping method to reduce distortions in an image.

A method for accurately positioning a computer position, and identifying a specific rack position where the computer is without manual intervention. A camera is installed on the computer to read the contents of a tag on the rack, so as to identify the position information of the computer. Specifically, the computer is provided with a self-positioning function, wherein: a camera is installed on the computer, and the camera is configured to read the contents of a tag attached on a side of a rack to house the computer to identify the rack position where the computer is.

Systems, computer program products, and methods are described herein for character recognition in a digital image processing environment. The present invention is configured to electronically retrieve one or more documents from a document repository, wherein the one or more documents are in an image format; initiate one or more image super resolution algorithms on the one or more documents; generate, based on at least the one or more image super resolution algorithms, one or more high-resolution images associated with each of the one or more documents; initiate one or more image bottleneck ensembles (IBE) algorithms on the one or more high-resolution images; extract, using the one or more IBE algorithms, one or more features associated with the one or more high resolution images; and store the one or more features extracted from the one or more high resolution images in a feature repository

The present disclosure provides a fingerprint scanning method and a mobile terminal. The mobile terminal includes a first fingerprint scanning module and a second fingerprint scanning module. The method includes: monitoring an operation performed on a scanning area of the first fingerprint scanning module; when an operation instructing to enter a preset fingerprint application scenario is monitored, transmitting a wake-up instruction to the second fingerprint scanning module. The wake-up instruction is configured to instruct the second fingerprint scanning module to enter an operation mode.

The present invention relates generally a method to authenticate a data carrier, such as passports, licenses, identification card . . . by hiding at least two optically encoded image within a data carrier so that the data carrier is authenticated through at least two factor authentication process. In the methods of the present invention, at least two reliable, readable optically encoded image are hidden within the data carrier wherein each of the encoded image is visible through a same decoder device but under different specific lighting conditions without the former having influence on the quality of the latter. The authentication methodology of the present invention provides an improved security, being even more difficult to reproduce by infringers, even more difficult to remove, replace or exchange and easy to check.

An image or a video may include a spherical capture of a scene. A punchout of the image or the video may provide a panoramic view of the scene.

A method and apparatus for controlling an image acquisition device are provided. The method includes that: multiple images photographed by multiple image acquisition devices are acquired; an active image acquisition device and an inactive image acquisition device in the multiple image acquisition devices are determined according to the multiple images; the active image acquisition device is controlled to photograph a first image by using a first configuration, and the inactive image acquisition device is controlled to photograph a second image by using a second configuration; the first image transmitted by the active image acquisition device is acquired, and the second image transmitted by the inactive image acquisition device is acquired, and a bandwidth required by the active image acquisition device to transmit the first image is greater than a bandwidth required by the inactive image acquisition device to transmit the second image.

Systems, computer program products, and methods are described herein for character recognition in a digital image processing environment. The present invention is configured to electronically retrieve one or more documents from a document repository, wherein the one or more documents are in an image format; initiate one or more image super resolution algorithms on the one or more documents; generate, based on at least the one or more image super resolution algorithms, one or more high-resolution images associated with each of the one or more documents; initiate one or more image bottleneck ensembles (IBE) algorithms on the one or more high-resolution images; extract, using the one or more IBE algorithms, one or more features associated with the one or more high resolution images; and store the one or more features extracted from the one or more high resolution images in a feature repository.