DocumentCode
2962055
Title
Biometric data hiding: A 3 factor authentication approach to verify identity with a single image using steganography, encryption and matching
Author
Agrawal, Nidhi ; Savvides, Marios
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2009
fDate
20-25 June 2009
Firstpage
85
Lastpage
92
Abstract
Digital Steganography exploits the use of host data to hide a piece of information in such a way that it is imperceptible to a human observer. Its main objectives are imperceptibility, robustness and high payload. DCT Domain message embedding in Spread Spectrum Steganography describes a novel method of using redundancy in DCT coefficients. We improved upon the method of DCT embedding by using the sign of the DCT coefficients to get better accuracy of retrieved data and more robustness under channel attacks like channel noise and JPEG compression artifacts while maintaining the visual imperceptibility of cover image, and even extending the method further to obtain higher payloads. We also apply this method for secure biometric data hiding, transmission and recovery. We hide iris code templates and fingerprints in the host image which can be any arbitrary image, such as face biometric modality and transmit the so formed imperceptible Stego-Image securely and robustly for authentication, and yet obtain perfect reconstruction and classification of iris codes and retrieval of fingerprints at the receiving end without any knowledge of the cover image i.e. a blind method of steganography, which in this case is used to hide biometric template in another biometric modality.
Keywords
biometrics (access control); discrete cosine transforms; image classification; image coding; image matching; image reconstruction; steganography; 3 factor authentication approach; biometric data hiding; digital steganography; discrete cosine transform; fingerprint retrieval; identity verification; image encryption; image matching; iris code classification; iris code reconstruction; spread spectrum steganography; Authentication; Bioinformatics; Biometrics; Discrete cosine transforms; Identity-based encryption; Image retrieval; Iris; Payloads; Robustness; Steganography; Biometrics; DCT; Steganography; Stego-Image; iris code templates;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Conference_Location
Miami, FL
ISSN
2160-7508
Print_ISBN
978-1-4244-3994-2
Type
conf
DOI
10.1109/CVPRW.2009.5204308
Filename
5204308
Link To Document