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A Unique Document Security Technique using Face Biometric Template
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- 발행기관
- 보안공학연구지원센터(IJAST) 바로가기
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- 간행물
- International Journal of Advanced Science and Technology 바로가기
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- 통권
- Vol.50 (2013.01)바로가기
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- 페이지
- pp.23-40
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A206860
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Human face is generally viewed as most flexible model when it comes to the field of biometric applications. The reason being it is a cost effective one due to its easy data acquisition fundamentals as well as it being invariable when considered over a fixed time period. There have been various algorithms that have been invented for the purpose of facial recognition as well as demonstrated over last three decades which are mainly categorized into kernel based technique s, Vector Methods and so on. A unique binary string generated out of facial features of a person is called a template. This template is used in several applications like network security, public key cryptography and so on. The main challenge in this regard is that no two instances of the faces acquired at different time instance can be same. The templates are similar in regard to the hamming distance but are not same. Therefore it is important to propose an algorithm that presents a face recognition system with the invariant template generation. In this work we propose a unique security architecture where face features and subsequently the generated templates are used as the key for document security. A framework needs users to register with the system along with their face instances. The instances are used for training samples. Once a user selects a folder for encryption, all the files of the folders are encrypted with the templates generated from users face data. A decryption request needs to be authenticated through the face data and the template generated at the time of decryption is used for decrypting the encrypted files. Rinjdal method is used for the cryptographic framework. Frames are acquired in real time from camera and face part is segmented based on skin segmentation. Further Eigen face based template generation and matching is used for face recognition. Results show significant low FAR in comparison to FRR and improved performance in encryption process and recognition rate.
목차
Abstract
1. Introduction
2. Related Work
3. Methodology
4. Proposed System
5. Results
6. Conclusion
References
키워드
Public Key Cryptography Hamming Distance Biometric Template Key Cryptographic Framework Eigen Face저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Advanced Science and Technology
- 간기
- 월간
- pISSN
- 2005-4238
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Advanced Science and Technology Vol.50
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