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あぁかがさざただなはばぱまやゃらわゎんいぃきぎしじちぢにひびぴみりうぅくぐすずつづっぬふぶぷむゆゅるえぇけげせぜてでねへべぺめれおぉこごそぞとどのほぼぽもよょろを

アァカサザタダナハバパマヤャラワヮンイィキギシジチヂニヒビピミリウゥクグスズツヅッヌフブプムユュルエェケゲセゼテデヘベペメレオォコゴソゾトドノホボポモヨョロヲ ―

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á à Á À é è É È ç Ç ê

Ä Ö Ü ä ö ü ß

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‘ ’ “ ” 〔〕〈〉「」『』【】＂（）［］｛｝

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RISS 인기검색어

등록 이미지를 활용한 Face Anti-Spoofing개선

한글로보기

https://www.riss.kr/link?id=A109202851

저자

오재민(Jae Min Oh) ; 정호기(Ho Gi Jung)
발행기관
대한전자공학회
학술지명
대한전자공학회 학술대회
권호사항

Vol.2024 No.6 [2024]
발행연도
2024
작성언어
Korean
KDC
569
자료형태
학술저널
수록면

1472-1476(5쪽)
제공처
DBpia

0
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0
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다국어 초록 (Multilingual Abstract)

This paper focused on the fact that common face recognition technologies, such as door control or mobile phone unlocking, can know the users identity in advance. This paper proposes that when the users identity is provided, the performance of face antispoofing can be improved by using the already registered users image. To implement this, the same feature extractor is applied to the registered image and the current image, and then the concatenated result is applied to a binary classifier that classifies it into live or spoofing. It was confirmed that the accuracy was improved by 3%p compared to the existing method that uses only the current image.

번역하기

This paper focused on the fact that common face recognition technologies, such as door control or mobile phone unlocking, can know the users identity in advance. This paper proposes that when the users identity is provided, the performance of face ant...

This paper focused on the fact that common face recognition technologies, such as door control or mobile phone unlocking, can know the users identity in advance. This paper proposes that when the users identity is provided, the performance of face antispoofing can be improved by using the already registered users image. To implement this, the same feature extractor is applied to the registered image and the current image, and then the concatenated result is applied to a binary classifier that classifies it into live or spoofing. It was confirmed that the accuracy was improved by 3%p compared to the existing method that uses only the current image.