Biometric template protection with DCT-based watermarking

Paunwala, Mita; Patnaik, Suprava

doi:10.1007/s00138-013-0533-x

Cited by 38 publications

(14 citation statements)

References 19 publications

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“…The watermarking technique hides an image into another cover image. The technique proposed in [3] divides a cover image into two blocks and each block is transformed with a two-dimensional discrete cosine transform (DCT) to classify as smooth block or edge block. Then biometric features are embedded in the low frequency coefficients of the 8×8 DCT blocks while the edge blocks are eliminated.…”

Section: Related Workmentioning

confidence: 99%

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A Multi-Stage Encryption Technique to Enhance the Secrecy of Image

2019

KSII TIIS

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This paper proposes a multi-stage encryption technique to enhance the level of secrecy of image to facilitate its secured transmission through the public network. A great number of researches have been done on image secrecy. The existing image encryption techniques like visual cryptography (VC), steganography, watermarking etc. while are applied individually, usually they cannot provide unbreakable secrecy. In this paper, through combining several separate techniques, a hybrid multi-stage encryption technique is proposed which provides nearly unbreakable image secrecy, while the encryption/decryption time remains almost the same of the exiting techniques. The technique consecutively exploits VC, steganography and one time pad (OTP). At first it encrypts the input image using VC, i.e., splits the pixels of the input image into multiple shares to make it unpredictable. Then after the pixel to binary conversion within each share, the exploitation of steganography detects the least significant bits (LSBs) from each chunk within each share. At last, OTP encryption technique is applied on LSBs along with randomly generated OTP secret key to generate the ultimate cipher image. Besides, prior to sending the OTP key to the receiver, first it is converted from binary to integer and then an asymmetric cryptosystem is applied to encrypt it and thereby the key is delivered securely. Finally, the outcome, the time requirement of encryption and decryption, the security and statistical analyses of the proposed technique are evaluated and compared with existing techniques.

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Section: Related Workmentioning

confidence: 99%

“…are examples of some well-known message encryption techniques. To encrypt an image, techniques like visual cryptography (VC) [1], steganography [2], watermarking [3], deep learning based ones [23,24], chaotic system and symmetric/ asymmetric cryptosystem based ones [16,17] etc. have been developed.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Stage Encryption Technique to Enhance the Secrecy of Image

2019

KSII TIIS

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“…The embedding method causes the smallest possible anomaly in the refinement of the fingerprint template without affecting the recognition performance of the fingerprint authentication system. A template protection and fusion strategy are proposed in [13]. Fingerprint feature vectors and iris features are used as watermarks.…”

Section: Related Workmentioning

confidence: 99%

“…Data hiding [4,5] is one of the main techniques for privacy protection. The aim of biometric data hiding [6][7][8][9][10][11][12][13] is to embed sufficient personal data into cover biometric templates and to maintain the performance of recognition. Existing biometric data hiding methods usually perform the data embedding on the region that does not contain key features of the biometrics.…”

Section: Introductionmentioning

confidence: 99%

Data Hiding in Iris Image for Privacy Protection

Chen

Wang

et al. 2018

IETE Technical Review

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This paper proposes a novel iris image data hiding scheme for privacy protection. Privacy personal data is embedded into the iris image such that its impact on the iris recognition is minimised. This is achieved by restricting the modifications of the embedding within the regions that seldom affects the iris recognition with the help of the STC (syndrome trellis coding) framework. We also propose a novel distortion function to measure the impact of the data embedding on iris recognition, where the regions with important iris features are assigned with high embedding cost. Experimental results show that, by using our proposed scheme, we can embed sufficient data into the iris image with high recognition accuracy maintained.

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“…A disadvantage of this approach is the inability to change the algorithm used for extracting iris features. Paunwala and Patnaik [22] embedded fingerprint and iris features into a cover image that is divided into blocks. Each block is transformed into a two-dimensional DCT and classified into blocks with or without edges.…”

Section: Related Workmentioning

confidence: 99%

Digital Image Watermarking Techniques and Biometrics Data Security: A Review

Adamović¹

2017

Proceedings of the International Scientific Conference - Sinteza 2017

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Abstract:In this study, we review digital watermarking techniques used for protection of biometrical data in authentication services based on biometry. In addition to the development of protection biometrical templates, there has been a breakthrough in additional privacy protection within biometrical systems that perform authentication without preserving biometry in their databases. We begin with theoretical foundations of digital watermark and biometry and then review current research advances in this area, which combine the two technologies and thus create a new ground for exploration better known as biometrical watermarking.

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Biometric template protection with DCT-based watermarking

Cited by 38 publications

References 19 publications

A Multi-Stage Encryption Technique to Enhance the Secrecy of Image

A Multi-Stage Encryption Technique to Enhance the Secrecy of Image

Data Hiding in Iris Image for Privacy Protection

Digital Image Watermarking Techniques and Biometrics Data Security: A Review

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