Samsung Electronics Co., Ltd.

Samsung Display Co., Ltd.

Sungun Park

Jaejoon Han

Kyuhong Kim

Jihye Kim

Seungju Han

Minsu Ko

Chang Kyu Choi

Changyong Son

Jiwhan Kim

Jinwoo Son

Sung-Jae Cho

Jung-Hun Lee

Jae Joon Han

Youngjun Kwak

Jingtao Xu

Changkyu Choi

Jiwon Han

Jihwa Lee

Juwoan Yoo

Tushar Balasaheb Sandhan

Jiaqian Yu

Hyeongwook Yang

Jeongil Yoo

Jaeyun Lee

Youngjoo Lee

Sanghyeok Kim

Geuntae Bae

Jongin Baek

Hee-Kwon Lee

Sungyeon Cho

Kiho Cho

Hoseok Son

Kyung-hwa Lim

Dongyoub Lee

Giljae Choi

Huntae Kim

Jungsun Kim

Heekwon Lee

Sung-jae Cho

Ko Minsu

A method with biometric information spoof detection includes extracting an embedding vector from an intermediate layer of a neural network configured to detect whether biometric information of a user is spoofed from an image including the biometric information; detecting first information regarding whether the biometric information is spoofed, based on the embedding vector; and detecting second information regarding whether the biometric information is spoofed based on whether the first information is detected, using an output vector output from an output layer of the neural network.

Method and apparatus with biometric information spoof detection

Disclosed is an image fusion method and apparatus. The fusion method includes detecting first feature points of an object in a first image frame from the first image frame; transforming the first image frame based on the detected first feature points and predefined reference points to generate a transformed first image frame; detecting second feature points of the object in a second image frame from the second image frame; transforming the second image frame based on the detected second feature points and the predefined reference points to generate a transformed second image frame; and generating a combined image by combining the transformed first image frame and the transformed second image frame.

Method and apparatus with image fusion

A processor-implemented anti-spoofing method includes: extracting an input embedding vector from input biometric information; obtaining a fake embedding vector of a predetermined fake model based on fake biometric information; obtaining either one or both of a real embedding vector of a predetermined real model and an enrolled embedding vector of an enrollment model the enrollment model being generated based on biometric information of an enrolled user; determining a confidence value of the input embedding vector based on the fake embedding vector and either one or both of the real embedding vector and the enrolled embedding vector; and determining whether the input biometric information is forged, based on the confidence value.

Method and apparatus with anti-spoofing

A processor-implemented method with image preprocessing includes: transforming a fingerprint image into a frequency domain; suppressing a low-frequency region corresponding to a first noise component of the fingerprint image in the frequency domain; and restoring the frequency domain, in which the low-frequency region is suppressed, as an image.

Method and apparatus with image preprocessing

A processor-implemented method with input data classification includes: extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information; determining an adaptive embedding vector adaptive to the input embedding vector, based on a combination of a plurality of enrollment embedding vectors that are based on enrollment data; and classifying the input data based on a similarity between the input embedding vector and the adaptive embedding vector.

Method and apparatus with input data classification

A display device includes a display panel, a main digitizer and a sub-digitizer disposed behind the display panel. A main flexible circuit board is disposed on a rear surface of the main digitizer and is connected to the main digitizer. A sub-flexible circuit board disposed on a rear surface of the sub-digitizer and connected to the sub-digitizer. A bridge flexible circuit board disposed on the rear surface of the main digitizer and the rear surface of the sub-digitizer and connected to the main flexible circuit board and the sub-flexible circuit board.

Display device and electronic device including the same

An anti-spoofing method includes detecting first information related to whether the biometric information is forged, based on a first output vector of a first neural network configured to detect whether the biometric information is forged from the input data, extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information, calculating a similarity value of the input embedding vector based on a fake embedding vector and either one or both of a real embedding vector and an enrollment embedding vector that are provided in advance, calculating a total forgery score based on the similarity value and a second output vector of the first neural network according to whether the first information is detected, and detecting second information related to whether the biometric information is forged, based on the total forgery score.

Anti-spoofing method and apparatus

A flexible display apparatus includes a substrate, a thin film encapsulation layer, a plurality of spacers, and at least one layer of a blocking dam in the non-display region. The substrate includes a display region having a plurality of pixels and a non-display region adjacent to the display region. The thin film encapsulation layer is over the substrate. The spacers are between the substrate and the thin film encapsulation layer and are arranged around a pixel region. A different arrangement of spacers are in a center region and an edge region of the display region. The different arrangement may correspond to at least one of a size and a number of the spacers.

Flexible display apparatus

A method and apparatus with spoofing consideration is provided. The method includes implementing convolution block(s) of a machine learning model that determines whether biometric information in an input image is spoofed, including generating a feature map including channels for an input feature map for the input image using convolution layers of a convolution block of the convolution block(s), in response to a total number of input channels of the convolution block and a total number of output channels of the convolution block being different, matching the total number of input channels of the convolution block and the total number of output channels of the convolution block by adding a zero-padding channel to the input feature map using a skip connection structure, and generating output data for determining whether the biometric information is spoofed, dependent on the generated feature map and a result of the skip connection structure.

Method and apparatus with biometric spoofing consideration

An image matching method includes extracting, from a first image of an object, a landmark patch including a landmark point of the object, extracting, from a second image of the object, a target patch corresponding to the landmark patch; and determining a target point in the second image corresponding to the landmark point based on a matching between the landmark patch and the target patch.

Device and method with image matching

Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.

Method and apparatus with liveness verification

A method and apparatus that detects whether biometric information is spoofed is provided. The method receives, from a sensor, first feature information including a static feature associated with biometric information of a user, and a dynamic feature obtained based on images related to the biometric information, detects whether the biometric information is spoofed based on a first score calculated based on the first feature information, fuses the first score with a second score calculated based on second feature information extracted from the images, based on a result of the detecting that the biometric information is spoofed based on the first score, and detects that the biometric information is spoofed based on a fused score.

Method and apparatus that detects spoofing of biometric information

A display device includes a display panel, a polarizing plate disposed above the display panel, where the polarizing plate includes a linear polarizing layer and a retardation layer, a window member disposed above the polarizing plate, where the window includes a window and a protective layer disposed above the window, the protective layer has a retardation of about 100 nm or less or about 5000 nm or greater, an optical member disposed below the display panel, a support member disposed below the optical member, where a through-hole is defined through the support member, and an electronic module disposed to correspond to the through-hole.

Display device including polarizing plate, window member and electronic module

A display apparatus having a display panel that includes a first pad portion is provided. A flexible printed circuit board is configured to attach to the display panel. The flexible printed circuit board includes a second pad portion that is configured to electrically connect to the first pad portion. The first pad portion includes a plurality of first signal pads, a first test pad, and a first alignment pad having a first shape. The second pad portion comprises a second alignment pad having a second shape. The second alignment pad includes a first portion and a second portion that are spaced apart from each other. The first shape and the second shape are configured to form a predetermined alignment mark when the flexible printed circuit board is attached to the display panel at a predetermined position.

Display apparatus including a display panel having a first pad portion and a flexible printed circuit board having a second pad portion

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Suwon-si, South Korea

Sungun Park