Samsung Electronics Co., Ltd.

Vitaly Sergeevich Gnatyuk

Vladimir Alekseevich Eremeev

Aleksei Mikhailovich Fartukov

Dae-kyu Shin

Hee-jun Lee

Heejun Lee

Kwang-Hyun Lee

Gleb Andreevich Odinokikh

Kwang-hyun Lee

Juwoan Yoo

Kwanghyun Lee

Daekyu Shin

Dae-Kyu Shin

Ju-woan Yoo

Mikhail Vladimirovich Korobkin

Aleksei Bronislavovich Danilevich

Sergey Stanislavovich Zavalishin

Alexey Bronislavovich Danilevich

Hee-Jun Lee

Xenya Yurievna Petrova

Alexey Mikhailovich Fartukov

Vladimir Alexeevich Eremeev

Ivan Andreevich Solomatin

Iurii Sergeevich Efimov

Ju-Woan Yoo

According to an embodiment of the disclosure, there is provided a biometrics-based user authentication method including: obtaining a user's biometric image, obtaining a shallow biometric feature from the user's biometric image by using a first neutral network of a learning network model, obtaining a deep biometric feature from the user's biometric image by using a second neutral network of the learning network model, determining a similarity between the shallow and deep biometric features and a valid user's biometric features stored in advance, and determining whether the user matches the valid user, based on the determined similarity.

Biometrics-based user authentication method and device

Provided are a user authentication device and method based on iris recognition. The user authentication method includes: acquiring an image of a user's left and right eyes; extracting a pupil image and an iris image from the image; obtaining a first iris feature by analyzing the iris image; obtaining a second iris feature by analyzing the iris image and the pupil image; obtaining a similarity score based on the first iris feature, the second iris feature, and prestored reference iris data; and determining whether to approve user authentication based on the similarity score.

Device and method for user authentication on basis of iris recognition

According to an aspect of an embodiment of the disclosure, an electronic device includes: a photographing device; a memory storing one or more instructions; and at least one processor configured to execute the one or more instructions stored in the memory to capture a first image by using the photographing device, perform first adjustment on an exposure value based on the first image, when the first image does not satisfy a first condition, perform second adjustment on the exposure value based on a second image acquired by applying a mask having a high weight for a region of interest to the first image, when the second image does not satisfy a second condition, adjust at least one photographing setting value based on the adjusted exposure value, and capture, by using the photographing device, a third image based on the adjusted at least one photographing setting value.

Electronic device and control method therefor

An apparatus for recognizing an iris is provided. The apparatus includes an image acquisition module configured to acquire a plurality of images, and a processor configured to select at least one image for iris recognition from among the plurality of images based on pupil information of each of the plurality of images, and recognize an iris in at least one image, wherein the pupil information includes at least one of information about a pupil radius and information about a pupil contrast.

Method and apparatus for iris recognition

A user recognition method that uses an iris is provided. The user recognition method includes generating a first mask for blocking a non-iris object area of an iris image, generating a converted iris image, in which the non-iris object area is blocked according to the first mask, generating a second mask for additionally blocking an inconsistent area, in which quantization results of the converted iris image are inconsistent, by adaptively transforming the first mask according to features of the converted iris image, obtaining an iris code by quantizing pixels included in the iris image, obtaining a converted iris code, in which portions corresponding to the non-iris object area and the inconsistent area are blocked, by applying the second mask to the iris code, and recognizing a user by matching a reference iris code, stored by the user in advance, to the converted iris code.

Adaptive quantization method for iris image encoding

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Moscow, Russia

Vitaly Sergeevich Gnatyuk