Face Features Based Biometric Watermarking of Digital Image Using Singular Value Decomposition for Fingerprinting
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- 발행기관
- 보안공학연구지원센터(IJSIA) 바로가기
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- 간행물
- International Journal of Security and Its Applications SCOPUS 바로가기
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- 통권
- Vol.6 No.2 (2012.04)바로가기
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- 페이지
- pp.47-60
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A210853
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- In this paper, a semi-blind biometric watermarking scheme is proposed for fingerprinting application. Watermark is derived from face image using Principal Component Analysis. These face features are then embedded in host image using block-based watermarking scheme, which uses Singular Value Decomposition transform. This watermarking scheme works by initially dividing the original image into non-overlapping blocks, applying the SVD transform to each of them and subsequently embedding a watermark into the singular vectors. Each watermark value is embedded by modifying angles formed by the right singular vectors of each block with respect to some arbitrary plane. During embedding process the orthogonal property of the right singular vectors matrix is preserved. After extracting the features from watermarked host image it is correlated with face database features to get the approximately correct image. The robustness of this watermarking technique is tested by applying various attacks.
목차
Abstract
1. Introduction
1.1 Significance of Biometric Watermark
2. Significance of SVD in Context with Image
3. SVD-based Watermarking Schemes
3.1 Classification of SVD based Watermarking Techniques
3.2 Watermarking Techniques based on Singular Values
3.3 Watermarking Techniques based on Singular Vectors
3.4 Watermarking Techniques based on Singular Values and Singular Vectors
3.5 Hybrid Transform Domain Techniques
4. Proposed Watermarking Scheme with Face Features as a Watermark
4.1 Consideration for Proposed Watermarking Algorithm
4.2 Phase I (Face feature extraction)
4.3 Phase II (Feature embedding in host image to form watermarked image)
4.3 Phase III (Feature extraction from watermarked image)
4.4 Phase IV (Recognizing face image from extracted features)
5. Experimentation and Results
6. Conclusion
7. Future Work
References
Appendix
키워드
Biometric watermarking Face features Principal component analysis orthogonal property Singular Value Decomposition robustness저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
- 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 Security and Its Applications
- 간기
- 격월간
- pISSN
- 1738-9976
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.6 No.2
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