Abstract:
A method of operating a depth sensor includes generating a first photo gate signal and second through fourth photo gate signals respectively having 90-, 180- and 270-degree phase differences from the first photo gate signal, applying the first photo gate signal and the third photo gate signal to a first row of a pixel array and the second photo gate signal and the fourth photo gate signal to a second row adjacent to the first row in a first frame using a first clock signal, and applying the first photo gate signal and the third photo gate signal to a first column of the pixel array and the second photo gate signal and the fourth photo gate signal to a second column adjacent to the first column in a second frame using a second clock signal.
Abstract:
An iris recognition device includes a first lens and a second lens configured to capture images for recognizing a user's iris; a first filter configured to filter an image input via the first lens and output a first signal; a second filter configured to filter an image input via the second lens and output a second signal; and an image sensor including a plurality of sub-pixel groups which each include a plurality of pixels and are configured to receive the first and second signals and output a first image signal and a second image signal that respectively correspond to the first and second signals.
Abstract:
A fingerprint recognition device is provided. The fingerprint recognition device includes an image acquisition module acquiring a fingerprint image including an input fingerprint, a preprocessing module generating a preprocessed image by preprocessing the fingerprint image, a minutiae extraction module extracting coordinates of each of minutiae and orientation points of the input fingerprint from the preprocessed image and a fake detection module receiving regions-of-interest (ROIs), including the coordinates of each of the minutiae or orientation points of the input fingerprint, and determining whether the input fingerprint is a fake by performing learning using the received ROIs.
Abstract:
An image processing device includes a first image distortion correction circuit configured to receive a first image and first calibration data from a first camera module, and perform correction on the first image based on the first calibration data; a second image distortion correction circuit configured to receive a second image and second calibration data from a second camera module, receive a first tilt range from the first camera module, and perform correction on the second image based on the second calibration data and the first tilt range; and an image processing unit (IPU) configured to receive corrected first and second images from the first and second image distortion correction circuits, and perform image processing on the corrected first and second images, wherein the first image is obtained by correcting an image acquired from an image sensor of the first camera module based on the first tilt range.