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.

Abstract: A method of enhancing a low-light image includes receiving a first image from an RWB image sensor, receiving a second image from an RGB image sensor, receiving an illumination value from an illumination sensor, and selecting at least one of the first and second images and generating a third image using the at least one selected image.

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.

Abstract: A method is provided for analyzing motion of a subject. The method includes receiving multiple events from an event-based sensor, the events corresponding to a luminance change of the subject; calculating velocities of the events and directions of the events; generating a motion analysis table comprising an X axis classified into multiple velocity sections, a Y axis classified into multiple direction sections, and multiple cells representing frequencies of events corresponding to combinations of the velocity sections and the direction sections; and determining a motion of the subject based on the motion analysis table.

Abstract: A time of flight (TOF) camera device and a method of driving the same are provided. The TOF camera device includes a pulse generator configured to generate a pulse signal, and generate a first photo gate signal and a second photo gate signal; a light source configured to irradiate an object with light emitted in synchronization with the pulse signal; and an image sensor configured to receive light reflected from the object in synchronization with the first photo gate signal during a first frame, and receive light reflected from the object in synchronization with the second photo gate signal during a second frame. The pulse generator is further configured to modulate the pulse signal so as to use a frequency of the light as a single frequency.

Abstract: A method of unlocking an electronic device based on motion recognitions generates motion information by detecting a user's motion, calculates optical flows based on the motion information, converts the optical flows into a code by sorting and grouping the optical flows based on predetermined reference directions, generates a comparison result indicating whether the code is consistent with a predetermined password by comparing the code with the predetermined password, and determines whether to unlock the electronic device based on the comparison result.

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: A method of enhancing a low-light image includes receiving a first image from an RWB image sensor, receiving a second image from an RGB image sensor, receiving an illumination value from an illumination sensor, and selecting at least one of the first and second images and generating a third image using the at least one selected image.

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, a mobile device having the same, and a method of biometric authentication using the same are provided. The iris recognition device includes: a light source unit configured to transmit a light signal to an iris; and a light source receiver configured to receive a reflected light signal of an image of the iris from the iris, and remove an offset of the reflected light signal, corresponding to noise in the iris image, using a plurality of reference signals having different phases.

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: An iris recognition device, a mobile device having the same, and a method of biometric authentication using the same are provided. The iris recognition device includes: a light source unit configured to transmit a light signal to an iris; and a light source receiver configured to receive a reflected light signal of an image of the iris from the iris, and remove an offset of the reflected light signal, corresponding to noise in the iris image, using a plurality of reference signals having different phases.

Abstract: A method of unlocking an electronic device based on motion recognitions generates motion information by detecting a user's motion, calculates optical flows based on the motion information, converts the optical flows into a code by sorting and grouping the optical flows based on predetermined reference directions, generates a comparison result indicating whether the code is consistent with a predetermined password by comparing the code with the predetermined password, and determines whether to unlock the electronic device based on the comparison result.

Abstract: A time of flight (TOF) camera device and a method of driving the same are provided. The TOF camera device includes a pulse generator configured to generate a pulse signal, and generate a first photo gate signal and a second photo gate signal; a light source configured to irradiate an object with light emitted in synchronization with the pulse signal; and an image sensor configured to receive light reflected from the object in synchronization with the first photo gate signal during a first frame, and receive light reflected from the object in synchronization with the second photo gate signal during a second frame. The pulse generator is further configured to modulate the pulse signal so as to use a frequency of the light as a single frequency.

Abstract: A method is provided for analyzing motion of a subject. The method includes receiving multiple events from an event-based sensor, the events corresponding to a luminance change of the subject; calculating velocities of the events and directions of the events; generating a motion analysis table comprising an X axis classified into multiple velocity sections, a Y axis classified into multiple direction sections, and multiple cells representing frequencies of events corresponding to combinations of the velocity sections and the direction sections; and determining a motion of the subject based on the motion analysis table.

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 image processing system includes a calculation unit, a reconstruction unit, a confidence map estimation unit and an up-sampling unit. The up-sampling unit is configured to perform a joint bilateral up-sampling on depth information of a first input image based on a confidence map of the first input image and a second input image with respect to an object and increase a first resolution of the first input image to a second resolution to provide an output image with the second resolution.

Abstract: A color filter array of an image sensor is disclosed. The color filter array includes a first filter to transmit wavelengths of a first region in a visible light region, a second filter to transmit wavelengths of a second region in the visible light region, a third filter to transmit wavelengths of a third region in the visible light region, and a mixed filter to transmit wavelengths of at least one of the first region, the second region and the third region, and wavelengths of an infrared region at the same time.

Abstract: A time of flight (ToF) sensor comprises a light source configured to irradiate light on a subject, a sensing unit comprising a sensing pixel array configured to sense light reflected from the subject and to generate a distance data signal, and a control unit comprising a view angle control circuit. The view angle control circuit is configured to detect movement of the subject based on the distance data signal received from the sensing unit and to control a view angle of the sensing unit to increase a number of sensing pixels in the sensing pixel array that are used to sense a region in which the detected movement occurs.