Suprema Inc.

Suprema Id Inc.

Xperix Inc.

Bo Gun Park

Dae Hyun Kim

Jae Won Lee

Bong Seop Song

Ki Deok Lee

Ho Chul Shin

Sang Won Lee

Jin Wook Yi

Won Seok Ahn

Byoung Joon Jang

Su Yoel Park

Jae Eun Jo

Byung Dai Hyun

Ho Joon Shin

Dongjin Kwon

An image generating device includes a support unit configured to support an object, an irradiation unit configured to irradiate the object disposed on the support unit with light, a light receiving unit configured to receive light returning from the object disposed on the support unit, and a control unit configured to generate a light irradiation signal for controlling the irradiation unit and a light-receiving region driving signal for controlling the light receiving unit, wherein the irradiation unit includes a first irradiation unit for irradiating a first region of the object with light and a second irradiation unit for irradiating a second region of the object with light, the light receiving unit includes a first light-receiving region and a second light-receiving region, the first light-receiving region and the second light-receiving region each include a plurality of pixels and are disposed at different positions on the light receiving unit.

Image generating device using lighting control

Provided is an image generating device including a first lighting unit configured to emit light to an object, a second lighting unit configured to emit light to the object and located at a position different from a position of the first lighting unit, a light receiver configured to receive light reflected from the object when light is emitted to the object from the first lighting unit or the second lighting unit, and an image processor configured to obtain image data based on the light received by the light receiver and process the obtained image data, wherein the image processor obtains a first image based on light reflected from the object when light is emitted from the first lighting unit, obtains a second image based on light reflected from the object when light is emitted from the second lighting, generates a processed image by synthesizing the first image and the second image to correct a pixel value of a light noise region of the first image and/or the second image.

Method for generating an image that light noise is removed and a device for generating an image using the method thereof

Provided are control methods of a decryption key storage server, a biometric information storage server, and a matching server in an authentication system. The control method of a decryption key storage server in an authentication system includes: acquiring an identifier of a target client and a encrypted biometric information for authentication; acquiring biometric information for registration corresponding to the identifier to be matched among pieces of the biometric information for registration having been encrypted by the at least one client transmitting the biometric information for registration; extracting a decryption key corresponding to the identifier from the at least one decryption key; decrypting the encrypted biometric information for authentication and the biometric information for registration corresponding to the identifier using the decryption key corresponding to the identifier; and determining whether or not the decrypted biometric information for authentication and the decrypted biometric information for registration corresponding to the identifier match.

Control methods of decryption key storage server, biometric information storage server, and matching server in authentication system

A face recognition apparatus comprising: a database that stores face information mapped to each corresponding user; a face recognition unit configured to recognize the face information of a user; a user management unit configured to classify the face information into groups of the users of which the face information is not similar between one another so that the users having the similar face information does not fall within the same groups to store the classified face information in the database.

Face recognition apparatus, system and method for managing users based on user grouping

A method for a face recognition by a face recognition service server, includes receiving a face image that is photographed from a face registration terminal or a face recognition terminal; detecting a face area of the received face image; and quantifying at least one quality factor for the detected face area in order to determine whether the received face image is suitable as sample image required for face recognition. Further, the method includes selecting the received face image as the sample image required for the face recognition when the quality factor satisfies a predetermined quality criterion.

Method for face recognition

An apparatus for identifying a fake face is provided. A first eye image acquirer acquires a first eye image by taking a picture of a subject while radiating a first ray having a first wavelength. A second eye image acquirer acquires a second eye image by taking a picture of the subject while radiating a second ray having a second wavelength that is shorter than the first wavelength. A controller extracts a first area and a second area having brighter lightness than the first area from each of the first and second eye images, calculates a lightness of the first area and a lightness of the second area in the first eye image, and a lightness of the first area and a lightness of the second area in the second eye image, and determines whether the subject uses a fake face based on the calculated lightness.

Apparatus and method for identifying fake face

An apparatus for recognizing a face of a person adaptively controls brightness of illumination around the person through image analysis. The apparatus obtains an optimal image through the adaptive brightness control of the illumination regardless of various environments for face recognition.

Apparatus for recognizing face based on environment adaptation

An apparatus for generating a representative fingerprint template is provided. The apparatus includes a calculation unit configured to calculate levels of similarity between N fingerprint templates; and a selection unit configured to select at least one fingerprint template from among the N fingerprint templates as a representative fingerprint template.

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Seoul, South Korea

Bo Gun Park