Offline Handwritten Signature based Blind Biometric Watermarking and Authetication Technique using Biorthogonal Wavelet Transform

Inamdar, Vandana; Rege, Priti P.; Arya, Meenakshi S.

doi:10.5120/1547-1970

Cited by 15 publications

(3 citation statements)

References 22 publications

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“…Inamdar and her research team (2010) introduced a robust biometric watermarking technique in which they embedded PN sequences according to the signature image bit into high frequency wavelet coefficients ( Figure 2). (Inamdar et al, 2010).…”

Section: Existing Reference Watermarking Techniquesmentioning

confidence: 99%

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Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection

Thanki¹,

Dwivedi²,

Borisagar

2017

Journal of Information and Communication Technology

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This paper proposed a non-blind watermarking technique based on different wavelet decomposition levels for biometric image protection. In this technique, a biometric image is used as a watermark instead of a standard image, logo or random noise pattern type watermark. For watermark embedding, the original host image and the watermark biometric image are transformed into various levels of wavelet coefficients. The watermark biometric image is embedded into the host image by modifying the values of the wavelet coefficients of the host image using the values of wavelet coefficients of the watermark biometric image. Experimental results demonstrated that the proposed technique was able to withstand various watermarking attacks. The novelty of the proposed technique is that it is used to transform coefficients of the watermark biometric image instead of the Pseudo Noise sequences or any other feature extraction technique.

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Section: Existing Reference Watermarking Techniquesmentioning

confidence: 99%

“…Inamdar and her research team (Inamdar et al, 2010) proposed a blind robust biometric watermarking technique for signature image protection. In this technique, PN sequence is embedded into the 2 nd level details wavelet coefficients of the host data according to the watermark signature image bits.…”

Section: Introductionmentioning

confidence: 99%

Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection

Thanki¹,

Dwivedi²,

Borisagar

2017

Journal of Information and Communication Technology

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“…Author in [7] proposed signature based biometric watermarking technique where details coefficient of host standard image are modified according to PN sequence and signature watermark bit. Also author proposed new signature recognition algorithm using Hough transform and PCA.…”

Section: Literature Review Of Related Workmentioning

confidence: 99%

Compressive Sensing Based Multiple Watermarking Technique for Biometric Template Protection

Thanki¹,

Borisagar²

2014

IJIGSP

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Abstract-Biometric authentication system is having several security issues. Two security issues are template protection at system database and at communication channel between system database and matcher subsystem of biometric system. In this paper, two level watermarking technique based on CS Theory framework in wavelet domain is proposed for security and authentication of biometric template at these two vulnerable points. In the proposed technique, generate sparse measurement information of fingerprint and iris biometric template using CS theory framework. This sparse measurement information is used as secure watermark information which is embedding into a face image of same individual for generation of multimodal biometric template. Sparse watermark information is computed using Discrete Wavelet transform (DWT) and random seed. The proposed watermarking technique not only provide protection to biometric templates, it also gives computational security against spoofing attack because of it is difficult for imposter to get three secure biometric template information where two encoded biometric template is embed in term of sparse measurement information into third biometric template. Similarity value between original watermark image and reconstructed watermark image is the measuring factor for identification and authentication. The experimental results show that the technique is robust against various attacks.

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Security of Biometric and Biomedical Images Using Sparse Domain Based Watermarking Technique

Thanki

Borra²,

Trivedi³

2019

Handbook of Multimedia Information Security: Techniques and Applications

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Offline Handwritten Signature based Blind Biometric Watermarking and Authetication Technique using Biorthogonal Wavelet Transform

Cited by 15 publications

References 22 publications

Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection

Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection

Compressive Sensing Based Multiple Watermarking Technique for Biometric Template Protection

Security of Biometric and Biomedical Images Using Sparse Domain Based Watermarking Technique

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