A DWT Based Approach for Steganography Using Biometrics

Shejul, Anjali A.; Kulkarni, Uday

doi:10.1109/dsde.2010.10

Cited by 42 publications

(24 citation statements)

References 6 publications

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“…Each of the other three sub-bands contains irrelevant information as they are high frequency sub-bands. In addition, embedding private information within these sub-bands will not have a big effect on degrading image quality [104]. To gain a better understanding as to how wavelets work the 2-D Haar wavelets will be discussed.…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

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An overview of steganography techniques applied to the protection of biometric data

Douglas

Bailey

Leeney

et al. 2017

Multimed Tools Appl

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Identification of persons by way of biometric features is an emerging phenomenon. Over the years, biometric recognition has received much attention due to its need for security. Amongst the many existing biometrics, fingerprints are considered to be one of the most practical ones. Techniques such as watermarking and steganography have been used in attempt to improve security of biometric data. Watermarking is the process of embedding information into a carrier file for the protection of ownership/copyright of music, video or image files, whilst steganography is the art of hiding information. This paper presents an overview of steganography techniques applied in the protection of biometric data in fingerprints. It is novel in that we also discuss the strengths and weaknesses of targeted and blind steganalysis strategies for breaking steganography techniques.

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Section: Discrete Wavelet Transformmentioning

confidence: 99%

“…Shejul and Kulkarni [104] propose a steganography method based on biometrics. The biometric feature used to implement steganography is the skin tone region of images.…”

Section: Hiding Biometric Datamentioning

confidence: 99%

An overview of steganography techniques applied to the protection of biometric data

Douglas

Bailey

Leeney

et al. 2017

Multimed Tools Appl

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“…Weiqui Luo et al, [6] described an edge adaptive image steganography based on LSB matching revisited which can select the embedding regions according to the difference between two consecutive pixels in the cover image. Shejul and Kulkarni [7] proposed a DWT based approach for steganography using Biometrics in skin tone regions of image that provides secure location for hiding secret data is hidden in one of the high frequency subband of DWT by tracing skin pixels in that sub band. Qinhua Huang and Weimin Ouyang [8] described a steganographic method for making region selection on images to find suitable area for embedding by counting on each pixel whether it could be protected.…”

Section: Literature Surveymentioning

confidence: 99%

Hybrid Domain in LSB Steganography

Kumar¹,

Raja²,

Pattnaik³

2011

IJCA

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The maintenance of privacy and secrecy of information in modern communication is accomplished through steganographic technique. Spatial domain techniques are popular ones in image steganography. In this paper, we propose hybrid steganography (HDLS) which is an integration of both spatial and transform domains. The cover image as well as the payload is divided into two cells each. The RGB components of cover image cell I are separated and then transformed individually from spatial to transform domain using DCT/DWT/FFT and embedded in a special manner, the components of cell II retained in spatial domain itself. The proposed algorithm has better PSNR and security as compared to existing techniques.

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“…Any color image of RGB color space can be easily converted into HSV color space. The skin color boundaries in the H and S subspaces are [11], S min =0.23, S max =0.68, Hmin=0 0 and Hmax=50 0…”

Section: The Steganography Methods 21 Skin Tone Detectionmentioning

confidence: 99%

“…Where, m and n are the height and width of the hidden image and A and B represents the height and width of the high frequency sub-band of DWT [11].…”

Section: Payload/hiding Capacitymentioning

confidence: 99%

Biometrics based Steganography using Circular Folding in DWT Domain

Santhi¹,

N²

2013

IJCA

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Steganography is the art and science of hiding or embedding data in a transmission medium. The goal of steganography is to hide an information message inside a harmless cover medium in such a way that it is not possible even to detect that there is a secret message. In this paper, the object oriented steganography is based on biometrics. Data is embedded into some regions of the skin and not to the whole region. To separate the skin and non-skin regions, skin tone detection is performed using HSV color space. To increase the security, cropping and circular folding is performed on the B plane of the cover image. The secret data is embedded into the high frequency sub-band coefficients of DWT domain. Because human eyes are less sensitive in this sub-band, security is improved. In this paper, we analyze both cropping and noncropping cases. This results into more security with cropping than without cropping with almost same PSNR.

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A DWT Based Approach for Steganography Using Biometrics

Cited by 42 publications

References 6 publications

An overview of steganography techniques applied to the protection of biometric data

An overview of steganography techniques applied to the protection of biometric data

Hybrid Domain in LSB Steganography

Biometrics based Steganography using Circular Folding in DWT Domain

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