Samsung Electronics Co., Ltd.

Yonsei University

Wonsuk Chang

Jaejoon Han

Chang Kyu Choi

Seungju Han

Byungin Yoo

Changyong Son

Dae-kyu Shin

Jinwoo Son

Deoksang Kim

Chao Zhang

Youngjun Kwak

Jingtao Xu

Youngsung Kim

Minsu Ko

Hao Feng

Yanhu Shan

Dasom Lee

Seon Min Rhee

Jiyoon Park

Heejun Lee

Changkyu Choi

Juwoan Yoo

Tushar Balasaheb Sandhan

Mijong Kim

Yangsoo Lee

Ginam Kim

Kwanghyun Lee

Hyeongwook Yang

Kunmo Chu

Yongkwon Kim

Seonmin Rhee

Chanmoon Chung

Hyunsuk Shin

Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Face verification method and apparatus

Disclosed is a face verification method and apparatus. A mobile device may include one or more processors configured to obtain one or more images for a user, ascertain whether any of the one or more images correspond to respective user distances, from the user to the mobile device, outside of a threshold range of distances, and selectively, based on a result of the ascertaining, perform verification using a first verification threshold for any of the one or more images ascertained to correspond to the respective user distances that are outside the threshold range of distances, and perform verification using a less strict second verification threshold for any of the one or more images that have been ascertained to not correspond to the respective user distances that are outside the threshold range of distances.

A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

Liveness test method and apparatus

A processor-implemented verification method includes: detecting a characteristic of an input image; acquiring input feature transformation data and enrolled feature transformation data by respectively transforming input feature data and enrolled feature data based on the detected characteristic, wherein the input feature data is extracted from the input image using a feature extraction model; and verifying a user corresponding to the input image based on a result of comparison between the input feature transformation data and the enrolled feature transformation data.

Apparatus and method with user verification

Disclosed is an electronic apparatus including a first camera, a second camera, and a processor. The first camera includes a first FOV. The second camera includes a second FOV corresponding to part of the first FOV. The processor is configured to obtain a request associated with biometric authentication. The processor is configured obtain at least one first image using the first camera and at least one second image using the second camera. The processor is configured to identify a first external object that is included in the at least first image while obtaining the first image. While obtaining the at least one second image, the processor is configured to provide notification information for obtaining at least one image including the second external object when the second external object that is at least part of the first external object, is not included in the at least second image.

Method of biometric authenticating using plurality of camera with different field of view and electronic apparatus thereof

A user registration device and method is disclosed. The user registration device compares an initial image stored in a database and a newly input candidate image, and determines whether to generate and manage an additional database based on the similarity between the initial image and the candidate image.

Device and method to register user

Provided are anisotropic conductive materials, electronic devices including anisotropic conductive materials, and/or methods of manufacturing the electronic devices. An anisotropic conductive material may include a plurality of particles in a matrix material layer. At least some of the particles may include a core portion and a shell portion covering the core portion. The core portion may include a conductive material that is in a liquid state at a temperature greater than 15&#xb0; C. and less than or equal to about 110&#xb0; C. or less. For example, the core portion may include at least one of a liquid metal, a low melting point solder, and a nanofiller. The shell portion may include an insulating material. A bonding portion formed by using the anisotropic conductive material may include the core portion outflowed from the particle and may further include an intermetallic compound.

Anisotropic conductive material, electronic device including anisotropic conductive material, and method of manufacturing electronic device

Growing community of inventors

Hwaseong-si, South Korea

Wonsuk Chang