Fusion of LSB and DWT Biometric Watermarking for Offline Handwritten Signature

Low, Cheng-Yaw; Teoh, Andrew Beng Jin; Connie, Tee

doi:10.1109/cisp.2008.713

Cited by 16 publications

(11 citation statements)

References 7 publications

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“…Spatial domain schemes are less complex but are not robust against attacks and low-bit capacity, the simplest example is to embed the watermark in the least significant bits (LSB) of image pixels [1] [2]. On the other hand, transform domain schemes can embed more bits of watermark, more robust and popular in comparison to spatial domain schemes [1]- [6]. The examples of transform domain watermarking are Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Fractional Fourier Transform (FRFT) watermarking.…”

Section: Introductionmentioning

confidence: 99%

A Digital Watermarking Algorithm Based on Discrete Fractional Fourier Transformation

Lang

Sun

Yang

2012

2012 International Conference on Computer Science and Service System

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An algorithm of digital watermarking based on hyperchaos sequence and the discrete fractional Fourier transform (DFRFT) is proposed. First, the watermark image is scrambled in the spatial domain. The original image and the watermark image are discrete fractional Fourier transformed respectively with different order. Secondly, the watermark image's real part and imaginary part are encrypted by the cipher sequence, which is generated by the hyperchaos sequence. Thirdly, the secondary visual important part of the original image is chosen for embedding into the watermark. At last, the watermark image is obtained after Fourier inversely transformed. The robustness of the watermark image under different attacks such as noise, JPEG compression, the cropping and gaussian low-pass filter is analyzed and the results demonstrate that the embedding scheme has good performance of robustness.

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Section: Introductionmentioning

confidence: 99%

A Digital Watermarking Algorithm Based on Discrete Fractional Fourier Transformation

Lang

Sun

Yang

2012

2012 International Conference on Computer Science and Service System

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“…V-Support Vector Machine is exploited to enhance the quality of the extracted face image. Low et al [7] proposed to adaptively fuse Least Significant Bit (LSB) and Discrete Wavelet Transform (DWT)-based approaches into a unison framework, which to be known as LSBDWT scheme. The performance of LSB-DWT scheme is validated against simulated frequency and geometric attacks.…”

Section: Related Work 21 Literature Reviewmentioning

confidence: 99%

Geometric Robust Multimodal Biometric Watermarking Scheme for Copyright Protection of Digital Images

Arya¹,

Siddavatam²

2013

IJCA

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This paper proposes a copyright protection system using multimodal biometrics for content protection of digital images. Two biometric traits, one physiological (face) and one behavioral (offline handwritten signature) of the legitimate owner are used as watermarks. These watermarks are embedded at different levels of resolution to the high frequency wavelet coefficients through optimal control of the embedding factor. Experimental evaluation confirms the imperceptibility and robustness of the scheme against a family of typical image distortions functions like Jpeg Compression, filtering etc as well as geometric attacks such as scaling, rotation and combined attacks.

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“…Low etc al. [4] proposed to adaptively fuse Least Significant Bit (LSB) and Discrete Wavelet Transform (DWT)-based approaches into a unison framework, which to be known as LSBDWT scheme. The performance of LSB-DWT scheme is validated against simulated frequency and geometric attacks.…”

Section: Representative Workmentioning

confidence: 99%

“…By embedding biometrics in the host, it formulates a reliable individual identification as biometrics possesses exclusive characteristics that can be hardly counterfeited. Hence, the conflicts related to the intellectual property rights protection can be potentially discouraged [4]. Wavelet based transform gained popularity recently because of its multi resolution property.…”

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confidence: 99%

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

Inamdar¹,

Rege²,

Arya³

2010

IJCA

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A method for establishing the identity of an individual is essential in all transactions whether they are commercial or personal. The ability to establish identity with certainty can prevent fraud or forgery. In the midst of an electronic revolution, this remains a major concern in ecommerce, telecommunications, healthcare, and security. In this paper, we present a novel method for biometric image watermarking using the biorthogonal wavelet transform and authentication of the recovered signature from the image data. In proposed approach the offline signature, which is a biometric characteristics of owner is embedded in second level detailed coefficients of discrete wavelet transform of cover image. The novelty of the proposed scheme is that, it also goes a step further wherein it extracts the features of recovered signatures and does the template matching with features of signature data base. GENERAL TERMSInformation hiding, Digital Right Managements

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Fusion of LSB and DWT Biometric Watermarking for Offline Handwritten Signature

Cited by 16 publications

References 7 publications

A Digital Watermarking Algorithm Based on Discrete Fractional Fourier Transformation

A Digital Watermarking Algorithm Based on Discrete Fractional Fourier Transformation

Geometric Robust Multimodal Biometric Watermarking Scheme for Copyright Protection of Digital Images

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

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