Abstract: A fingerprint recognition method includes determining a code corresponding to a query image based on features of blocks in the query image, obtaining information corresponding to the determined code from a lookup table, and verifying the query image based on the obtained information.

Abstract: Example embodiments disclose a method and apparatus for authenticating a user. The method includes generating an image for authentication based on at least one authenticated image based on an input image, and performing authentication based on the generated image for authentication.

Abstract: A method of recognizing a feature of an image may include receiving an input image including an object; extracting first feature information using a first layer of a neural network, the first feature information indicating a first feature corresponding to the input image among a plurality of first features; extracting second feature information using a second layer of the neural network, the second feature information indicating a second feature among a plurality of second features, the indicated second feature corresponding to the first feature information; and recognizing an element corresponding to the object based on the first feature information and the second feature information.

Abstract: A facial recognition method includes identifying a first makeup pattern in a region of interest (ROI) of a first image, applying one of the first makeup pattern and a candidate makeup pattern to a ROI of a second image corresponding to the ROI of the first image to generate a third image and recognizing a face based on the first image and the third image.

Abstract: At least one example embodiment discloses a method of extracting a feature from an input image. The method may include detecting landmarks from the input image, detecting physical characteristics between the landmarks based on the landmarks, determining a target area of the input image from which at least one feature is to be extracted and an order of extracting the feature from the target area based on the physical characteristics and extracting the feature based on the determining.

Abstract: At least one example embodiment discloses a method of converting a vector corresponding to an input image. The method includes receiving first-dimensional vector data associated with an input image, the input image including an object and converting the received first-dimensional vector data to second-dimensional vector data based on a projection matrix with an associated rank. A first dimension of the first-dimensional vector data is higher than a second dimension of the second-dimensional vector data.

Abstract: At least one example embodiment discloses a method of extracting a feature of an input image. The method includes constructing an example pyramid including at least one hierarchical level based on stored example images, generating a codebook in each of the at least one hierarchical level, calculating a similarity between the codebook and the input image, and extracting a feature of the input image based on the similarity.

Abstract: At least some example embodiments disclose a method and apparatus for facial recognition. The facial recognition method includes detecting initial landmarks from a facial image, first normalizing the facial image using the initial landmarks, updating a position of at least one of intermediate landmarks based on the first normalizing, the intermediate landmarks being landmarks transformed from the initial landmarks through the first normalizing, second normalizing the facial image after the updating and recognizing a face using a feature of the second normalized facial image.

Abstract: At least one example embodiment discloses a user authentication method including acquiring representative reference images classified from a pre-stored first reference image of a user based on desired criteria, acquiring representative input images classified from a first input image based on the desired criteria, calculating a similarity between the first input image and the first reference image based on the representative input images and the representative reference images, and authenticating a user based on the calculated similarity.

Abstract: A liveness testing apparatus includes a testing circuit. The testing circuit is configured to test a liveness of an object included in a received input image based on whether an image of the object has a characteristic indicative of a flat surface or a characteristic indicative of a three-dimensional (3D) structure.

Abstract: A method and apparatus for processing an image is disclosed, wherein the apparatus for processing the image may set blocks in an input image, perform an orthogonal transform on pixel values in the blocks, obtain orthogonal transform coefficients, and generate a resulting image by normalizing the obtained orthogonal transform coefficients.

Abstract: Methods and systems of controlling an electronic device that executes at least one application include receiving a multipoint input; detecting input points of the multipoint input; and generating a layer for executing the at least one application based on the detected input points of the multipoint input.

Abstract: Methods for fast generating spatially reduced-size images directly from compressed video streams supporting the coding of interlaced frames through transform coding and motion compensation. A sequence of reduced-size images are rapidly generated from compressed video streams by efficiently combining the steps of inverse transform, down-sampling and construction of each field image. The construction of reduced-size field images also allows the efficient motion compensation. The fast generation of reduced-size images is applicable to a variety of low-cost applications such as video browsing, video summary, fast thumbnail playback and video indexing.

Abstract: Methods for fast generating spatially reduced-size images directly from compressed video streams supporting the coding of interlaced frames through transform coding and motion compensation. A sequence of reduced-size images are rapidly generated from compressed video streams by efficiently combining the steps of inverse transform, down-sampling and construction of each field image. The construction of reduced-size field images also allows the efficient motion compensation. The fast generation of reduced-size images is applicable to a variety of low-cost applications such as video browsing, video summary, fast thumbnail playback and video indexing.