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Biometric techniques have inherent advantages over traditional personal identification technique. Biometric techniques uses a mechanism to scan and capture a digital or analog image of a living personal characteristic and a matching system to match input biometric image to stored biometric templates. Among various commercially available biometric techniques such as face, fingerprint, Iris etc., fingerprint-based...
In this paper, a novel blind digital image watermarking scheme in contour let domain with singular value decomposition is proposed. In contrast to traditional methods where the watermark bits are embedded directly on the contourlet transform coefficients, the proposed scheme is based on watermark bits embedding on the singular value of the selected blocks within lowpass subband of the original gray...
A novel compression algorithm for fingerprint image is proposed. Wavelet-based Contourlet transform (WBCT), which is based on wavelet transform and directional filter banks (DFBs), can be capable of efficiently approximating natural images containing contours and oscillatory patterns. To reduce frequency scrambling, a new scheme based on maximally-flat filters which implements the DFBs is proposed...
This paper presents an image coding technique based on contourlet transform. The redundancy of the contourlet transform is eliminated by switching the LP decomposition step to separable wavelet transform. The transform is then optimized through a wavelet coefficient weighting process in order to enhance the visual quality in the image domain, and with that the directional filter bank(DFB) are employed...
In this paper, we formulate image annotation as a semi-supervised learning problem under multi-instance learning framework. A novel graph based semi-supervised learning approach to image annotation using multiple instances is presented, which extends the conventional semi-supervised learning to multi-instance setting by introducing the adaptive geometric relationship between two bags of instances...
Recently, as the fast development of the computer network communication technology, itpsilas more and more convenient for the digital information storage and transmission. Therefore, more and more attention is focused on the copyright protection of digital information. An algorithm that gray image as watermark is embedded in original color-image is introduced. This algorithm thinks over both unobtrusiveness...
This paper introduces a non-temporal multiple silhouettes in Hidden Markov Model (HMM) for offering view independent human posture recognition. The multiple silhouettes are used to reduce the ambiguity problem of posture recognition. A simple feature extraction of the 2D shape contour based histogram is used for image encoding and K-Means algorithm is applied for clustering and code-wording of eight...
The main objective of 3D mesh watermarking is to maximize the watermark strength while minimizing the visual distortion. In this paper, we propose a novel 3D mesh watermarking based on the human visual system and mesh curvature. We analyze the regionpsilas mean curvature and fluctuation of curvature, and then choose the appropriate regions with high visual masking degree, in order to embed the watermark...
This paper proposes a lossless data hiding scheme with high embedding capacity, which can recover the original image without any distortion after the hidden data have been extracted. In this scheme, difference value of the adjacent pixels is calculated first. After adjusting the difference slightly, we can increase (decrease) it by 1 or maintain it intact to embed information into the cover image...
Recently, Blind Source Separate (BSS) technique has been extended to digital watermarking field. Slowly Feature Analysis (SFA)-a kind of BSS technique-is a new unsupervised learning algorithm to learn nonlinear functions that extract slowly varying signals out of the input data. It expediently can be used to extract image feature and separate the mixed signals. Making use of the advantages of SFA,...
The single biometric identification technology has the inherent and difficult overcoming shortcomings, so multi-modal biometric fusion and identification techniques were proposed to improve the performance and accurate rate of identification system. This paper proposed a model combined with 2-dimensional Fisher linear discriminant analysis for face and iris feature fusion and recognition. First face...
Wavelets transform have been extended to image process and achieve a lot of good results in the field. However, it is of congenital defects. So many new methods are generated based on it. Wedgelet transform is a better method among them. Wedgelet transform is a kind of multi-resolution method which can represent anisotropy of image. We induce the theory of wedgelet transform, in this paper, and apply...
This paper proposes a novel spatial domain color digital watermarking scheme based on chaotic maps, and the host image is color RGB image. Using Lorenz map and the Arnold cat map encrypt the watermark signal and the embedding position of the host image each other. The color space of the color host image is first converted from RGB to YCbCr. In order to resist JPEG compression, all three watermark...
In this paper, we propose some technologies of multi-biometric feature identification, and present a framework of biometric identification system. The contributions of this paper include the following aspects: (1) the information of biological features are prevented from being forged or modified in network transmission by using a scrambling encryption algorithm of Semi-Fragile Watermarking(SFW) which...
Digital Rights Management (DRM) system is the effective schemes for digital transactions. A novel authentication scheme of the DRM system based on multimodal biometric verification and watermarking technique is described in this paper, which is based on highly secure iris recognition and face recognition and their feature fusion recognition is described, which is can achieve the rights management...
Aimed at their own respective characteristic and constraints of police dogs and robots in the fields of reconnaissance, counterterrorism and rescuing, live animals and electrical device has been organically integrated, and wireless intelligent monitoring system has been proposed and designed. Not only does it take full advantage of the biological flexibility of police dogs, but also it makes full...
Field surveillance through computer and data collection system can be comparatively in high risk under rigorous mine environment such as inflammability, explicability, high humidity, lots of dust, distributed surveillance fields and long distance etc. Thus, designing a platform with high adaptability is extreme important and urgent. This paper analyzes the platform selection carefully, and furthermore,...
Invisible digital watermarks have been proposed as a method for discouraging illicit copying and distribution of copyright material. Due to its characteristics, one of the problems in image watermarking is to decide how to hide in an image as many bits of information as possible while ensuring that the information can be correctly retrieved at the detecting stage, even after various attacks. Several...
Image coding is one of the most important technologies for what it is call multimedia revolution. The image coding implies a good representation of the images using the least quantity of bits. In order to ensure a good representation, the coder needs to capture significant information of an object of interest in a small description. To solve this problem, in this paper, we present a new lossy image...
Effective color image and video coding is usually exploited coupling a compression method with the most suitable color space representation. This work extends a previously proposed high dynamic range (HDR) image coding method, which combines a logarithmic color adaptation module with a JPEG2000 codec. Here we propose to change the original preprocessing stage with a more adequate one, based on the...
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