In order to improve the robustness of the watermarking algorithm, a dual watermarking method is proposed to prove copyright ownership. Visible watermarking is important for protecting online resources from unauthorized reproduction. However robust, visible watermarks are vulnerable to illegal removal and other common signal processing and geometric attacks. Multiple invisible watermarks can enhance the protection of the visibly watermarked image. When the ownership of tampered image is in question, the invisible watermark can be extracted to provide appropriate ownership information. We have proposed dual watermarking scheme with multiple biometric watermarks in which it embeds speech and face biometric traits of owner invisibly and lastly offline signature is overlaid translucently on image. Before embedding, speech is compressed using Linear Predictive Coding (LPC) and Gabor face is created from face biometric trait. All three watermarks Gabor face, LPC coefficients and offline signature are the biometric characteristics of the owner and hence they are highly related with copyright holder. The proposed scheme is robust enough, Gabor face and LPC coefficients can be extracted from the signature marked image or even from the tampered image from which signature is removed illegally or legally. As multiple watermarks are embedded at least one watermark survives under different attacks. It can find application for joint ownership or to address single ownership multiple times.

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Dual watermarking technique with multiple biometric watermarks

The enormous development in digital technologies has necessitated the owners to pay great attention in protecting their digital contents. Watermarking is used for content authentication and ownership protection. Biometric traits provide unique means for individual identification. Biometric watermarking refers to the incorporation of biometric in watermarking technology. By embedding biometrics in the host, it formulates a reliable individual identification as biometrics possesses exclusive characteristics that can be hardly counterfeited. In this paper we proposed a method of embedding owner's speech signal. Speech being a biometric data, the watermark signal in this method is expected to be more meaningful and has closer correlation with copyright holder.

Speech as a biometric watermark for digital images using stationary wavelet transform

Digital watermarking is the act of hiding a message related to a digital signal (i.e. an image, song, video) within the signal itself. It is a concept closely related to steganography, in that they both hide a message inside a digital signal The rapid development in digital technologies has necessitated the owners to pay great attention in protecting their digital contents. Watermarking is used for content authentication and ownership protection. Biometric data provide unique means for individual identification. Biometric watermarking refers to the incorporation of biometric data in watermarking technology. By embedding biometrics in the host, it formulates a reliable individual identification as biometrics possesses exclusive characteristics that can be hardly counterfeited. In this paper we proposed a method of embedding owner's speech signal. Speech being a biometric data, the watermark signal in this method is expected to be more meaningful and has closer correlation with copyright holder. Keywords- Biometric Speech, Watermarking, Common & Geometric attacks, Copyright protection, Authentication, Wavelet transform. I. INTRODUCTION Digital watermarking has to embed pieces of information into a digital media for protecting it against copyright infringements and other unauthorized applications. Digital audio watermarking has to do with protecting digital audio file against illegal copying. A lot of works has been done on digital watermarking of various media such as image and video, but this particular review will focus on digital watermarking of audio file. Digital Audio files are particularly the most abused for copyright infringements because they can be downloaded and copied with ease. Audio watermarks are special signals embedded into digital audio. These signals are extracted by Detection mechanisms and decoded. Audio watermarking schemes rely on the imperfection of the human auditory system. However, human ear is much more sensitive than other sensory motors. Thus, good audio watermarking schemes are difficult to design (3). A lot of recent works have proposed solutions to this problem of copyright infringement. Some involves the use of various types of watermarks. The hidden data can be recovered reliably under certain attacks such as cropping, compression, noise effect, geometrical attacks and contrast enhancement. As a necessary background, a literature survey of the watermarking techniques is presented. The last part of the paper, analyzes the watermarking results of wavelet-based watermarking technique on different images and audio samples, using various quality assessment metrics.

Audio watermarking in digital image using wavelet transform

Security is the main concern in many researches as we are getting day by day enhanced and more secure data protection and encryption algorithms, here we are going to present a noble technique to encrypt data in sound signals, till yet many researchers presented several algorithms in this field here we are going to use GA(genetic algorithm) to have optimized and closest match where to hide which block in speech signals. GA is fast and better way to optimized closet match approach as compare to any other method. We are going to use .wav file format for speech signals which is to be processed for fusion data into that image. Data is firstly converted into the ASCII. Data which is going to be hidden taken from any text document stored in our System and then will be fused into that Cover Image. The next task is to secure the data which is to be fused in to the voice signals that is done with the Concept of HASH KEY, length of the hash key is totally based upon the data which we are going to hide under speech signal.

Genetic algorithm based watermarking scheme for sound signals using closest approach

Digital watermarking is the act of hiding a message related to a digital signal (i.e. an image, song, video) within the signal itself. It is a concept closely related to steganography, in that they both hide a message inside a digital signal The rapid development in digital technologies has necessitated the owners to pay great attention in protecting their digital contents. Watermarking is used for content authentication and ownership protection. Biometric data provide unique means for individual identification. Biometric watermarking refers to the incorporation of biometric data in watermarking technology. By embedding biometrics in the host, it formulates a reliable individual identification as biometrics possesses exclusive characteristics that can be hardly counterfeited. In this paper we proposed a method of embedding owner's speech signal. Speech being a biometric data, the watermark signal in this method is expected to be more meaningful and has closer correlation with copyright holder. KeywordsBiometric Speech, Watermarking, Common & Geometric attacks, Copyright protection, Authentication, Wavelet transform.

/pdf/audio-watermarking-in-digital-image-using-wavelet-transform-3jtjfacji3.pdf

This paper presents a novel scheme of watermarking of digital images for copyright protection and authentication. In this paper we proposed a method of embedding owner's speech signal. Speech being a biometric data, the watermark signal in this method is expected to be more meaningful and has closer correlation with copyright holder. The main issue of concern here is the capacity because the speech data has large number of samples. Linear predictive coding is used to encode the audio data. Here, speech samples are imperceptibly inserted using spread spectrum technique into the mid frequency band of wavelet transform of image which makes it robust to lossy compression. Applications for such a speech-hiding scheme include copy protection, authentication and covert communication.

Aarti Bang

Papers

Speech based watermarking for digital images