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A three-dimension chaos shape synchronized system is proposed and used in the secure communication. The proposed system consists of a Chaotic Secure Transmitter (CST) and a Chaotic Secure Receiver (CSR). Because of the driving signals are the shape features of drive systems, the attackers are highly unlikely to obtain reconstructing the chaotic dynamics of the drive systems. The simulation results...
This paper presents a new way to transmit and retrieve an information signal via chaotic systems based on shape synchronization. In contrast to existing schema with chaotic synchronization, the scheme is adopted for the purpose of faster synchronization and high security. Firstly, the drive signals are synthesized chaotic signal instead of drive variables in order to high security. Secondly, the drive...
This paper proposed a new face recognition method based on texture features of gray-level co-occurrence matrix (GLCM). The feature vector is constructed based on GLCM texture features using hybrid projection function in nonsubsampled contourlet transform domain. The experimental results on CMU PIE database demonstrate the efficacy of the new method.
This paper summarizes the recent development of illumination compensation for face recognition. Then a new method is proposed by extracting illumination invariant features in contourlet transform domain based on human visual perception mechanism. The experimental results on Yale B and CMU PIE face databases demonstrate that it is effective and competitive.
This paper firstly shows the entire picture of a promising research area, face recognition. Then a new face recognition method is proposed, mainly based on the combination of wavelet transform and local hybrid projection entropy (LHPE). Some classical image processing methods are included to constitute a cascade framework. The experimental results on Yale face database and Yale B face database show...
For the superiority of good uniqueness, stability and being easily collected, fingerprint has become one of the most widely used biological characteristics. The algorithm of fingerprints identification is generally divided into three parts: image pretreatment, feature point extraction and matching. This paper analyses and improves the most widely used matching algorithm - the shortest distance point...
At present, the research of biometric recognition is gave more and more attention in the world. The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc. the iris recognition technology has recently become popular in identity recognition. In...
Based on the discrete cosine transform (DCT) coefficients distribution, an effective method of early detecting all-zero discrete cosine coefficients blocks in H.264 is proposed. A mathematic model is established based on Laplacian distribution of DCT coefficients and a criterion under which each quantized coefficient becomes zero is derived. The simulation results show that compared to the Xie's method...
Given uncertain status reports or notes come from multi-sensor, identity fusion further makes them integrate information and jointly determine the observed entities. This paper discusses an improved data fusion approach to multi-biometric feature, including face, fingerprint and iris image. The approach is called improved multiple biometric data fusion algorithm, based on the eigen-face and the Gabor...
Traditional fault diagnosis system in large industrial networks is not intelligent enough and cannot predict faults. It is too expensive for industrial corporations. This paper brings forward an intelligent fault diagnosis system-IFDS, which uses new types of intelligent database technology, and has the ability of effectively solving the fault diagnosis and prediction issue of current industrial Ethernet...
Data classification has been studied widely in the fields of Artificial Intelligence, Machine Learning, Data Mining and Pattern Recognition. Up to the present, the development of classification has made great achievements, and many kinds of classified technology and theory will continue to emerge. This paper discusses a great deal of classification algorithms based on the Artificial Neural Networks,...
Aiming at the problems of images denoising, wavelet algorithm is introduced simply. The technology of images denoising based on wavelet are analyzed in detail. Image denoising is achieved by Matlab. Two thresholding in the process of image denoising are compared by the results of experiments. Meanwhile, the advantages of image denoising by wavelet is proved.
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