Proposed is a driving method for a height-adjustable biological signal measuring device. The method includes a step of recognizing a user's unique information, a step of setting the focus of a video image measuring device to a preset value, a step of photographing the user and acquiring the user's images from the video image measuring device, a step of acquiring the image data from the photographed video image data and preprocessing the images in a video image processing unit, a step of recognizing a face according to the user's state using the pre-processed image, a step of determining whether the user's face is at the center of the screen, and a step of fixing the position of a terminal and measuring the user's biometric information.

There is provided a system and method for mask inspection, comprising: obtaining a plurality of images, each representative of a respective part of the mask; generating a CD map of the mask comprising a plurality of composite values of a CD measurement of a POI respectively derived from the plurality of images, comprising, for each given image: dividing the given image into a plurality of sections; searching for the POI in the plurality of sections, giving rise to a set of sections, each with presence of at least one of the POI therein; for each section, obtaining a value of the CD measurement using a printing threshold, giving rise to a set of values of the CD measurement corresponding to the set of sections; and combining the set of values to a composite value of the CD measurement corresponding to the given image.

An apparatus includes a display control unit, a receiving unit, an adjusting unit, and a determination unit. The display control unit is configured to display an image showing a result of detection of a defect from a captured image of a structure on a display device. The receiving unit is configured to receive an operation to specify part of the displayed image as a first region and an operation to give an instruction to correct at least part of the detection data corresponding to the first region. The adjusting unit is configured to adjust a parameter to be applied to the first region according to the instruction. The determination unit is configured to determine one or more second regions to which the adjusted parameter is to be applied from a plurality of segmented regions of the image.

The image retrieval device 1X includes a first acquisition means 30X, a second acquisition means 33X, an integration means 342X, and a retrieval means 36X. The first acquisition means 30X acquires input information regarding a retrieval. The second acquisition means 33X acquires object region information regarding a region of an object included in images in an image database where the retrieval is performed. The integration means 342X calculates, as features of the images, image features obtained by integrating local features extracted from the images and the object region information. The retrieval means 36X retrieves an image related to the input information from the image database, based on a degree of similarity between the image features and features of the input information.

Provided is a method including: obtaining a plurality of images each comprising a plurality of persons, identifying one image among the plurality of images as a base image, identifying a source image among the plurality of images based on a completion level of each of the plurality of images and a swap compatibility of each of the plurality of images, extracting a face region of a person of the plurality of persons from the source image, and generating a correction image by compositing the extracted face region on the base image, wherein, for each respective image of the plurality of images, the completion level comprises a completion level of shooting a face region of the image of the person in the respective image, and the swap compatibility comprises a swap compatibility between a face region of the image of the person in the base image and the face region of the image of the person in the respective image.

The present disclosure relates to method and system for extracting information based on user interactions performed on screen of a computing system. Method includes receiving processed input data comprising video capturing screen and user interactions events occurring from user interactions, and co-ordinate information. Thereafter, computing system determines Regions of Interest (RoI) on screen based on captured user interactions, events and co-ordinate information, and identifies type of user interaction performed with at least one screen element in the RoI, as either keyboard or mouse type interaction. Subsequently, computing system performs one of: determining type of screen element as a text box or a table based on pattern recognition when type of user interaction is identified as keyboard type interaction or determining type of screen element to be selectable User Interface elements and extracting content and label of selectable UI elements, when interaction is identified as mouse type interaction.

A method for authenticating an identity of a person may involve acquiring a sample fingerprint image of a finger of the person. Two or more sub-portions may be extracted from the sample fingerprint image to form a plurality of fingerprint test images. A fingerprint recognition may be independently run on the plurality of fingerprint test images. The identity of the person may be authenticated upon a positive outcome from the independently run finger-print recognitions. A device may be provided for authenticating an identity of a person.

Methods, system, and media for comparing a set of images to determine the existence and location of any differences between the image set. The differences may be located using image comparison techniques such as SURF and Blob Detection, as well as through techniques used to identify areas of data sliding and match probabilities. A logical match probability, as well as a physical match probability, may be included in an output report with a result image highlighting the differences between the comparison images in the image set.

An issuing apparatus is configured to acquire an image obtained by capturing a collation image printed on an information medium via a camera as a first captured image. A collation apparatus is configured to acquire an image obtained by capturing a collation image printed on an information medium to be collated via a camera as a second captured image, generate a corrected image obtained by performing density correction on the first captured image, by predicting a density change at a time point at which the second captured image is acquired based on an elapsed time from a time point at which the first captured image is acquired, and determine a collation region for collation between the first captured image and the second captured image based on a difference image obtained by obtaining a difference between the second captured image and the corrected image for each pixel.

An image acquisition system is configured to acquire an image of a floating cell included in a cell suspension within a vessel, and includes a transmitted light image capturing unit configured to acquire a transmitted light image of the floating cell, a fluorescence image capturing unit configured to acquire a fluorescence image of the floating cell, and an information acquisition unit configured to acquire information about an image capturing condition for the fluorescence image using a first transmitted light image captured at a first time and a second transmitted light image captured at a second time different from the first time.