It is very important to detect singular points (core and delta) accurately and reliably for classification and matching of fingerprint. In this paper, an improved method for singularity detection in fingerprint images...
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It is very important to detect singular points (core and delta) accurately and reliably for classification and matching of fingerprint. In this paper, an improved method for singularity detection in fingerprint images, which based on continuous orientation field, is proposed to improve accuracy of the position and reliability of the singularity. Firstly, the blocks which may contain singularities are detected by computing the Poincare Index. Then, the singularities are detected in the block images. Experiment show that the proposed method can overcome the shortcoming of the traditional method to great extend and is robust to poor quality images.
End surface grating by direct inscribing an index modulation pattern on optical waveguide surface to control amplitude and direction of the diffracted light is fabricated. Direct inscribing an index modulation pattern...
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In this paper,we propose a new directional multi-resolution ridgelet network(DMRN)based on the ridgelet frame theory,which uses the ridgelet as the activation function in a hidden *** the multi-resolution properties o...
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In this paper,we propose a new directional multi-resolution ridgelet network(DMRN)based on the ridgelet frame theory,which uses the ridgelet as the activation function in a hidden *** the multi-resolution properties of the ridgelet function in the direction besides scale and position,DMRN has great capabilities in catching essential features of direction-rich *** proves to be able to approximate any multivariate function in a more stable and efficient way,and optimal in approximating functions with spatial ***,using binary ridgelet frame as the mathematical foundation in its construction,DMRN is more flexible with a simple *** construction and the learning algorithm of DMRN are *** approximation capacity and approximation rate are also analyzed in *** of applications to regression and recognition are included to demonstrate its superiority to other methods and feasibility in *** theory analysis and simulation results prove its high efficiency.
The electroencephalogram (EEG) is widely used by physicians for interpretation and identification of physiological and pathological phenomena. However, the EEG signals are often corrupted by power line interferences n...
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ISBN:
(纸本)9781424417483
The electroencephalogram (EEG) is widely used by physicians for interpretation and identification of physiological and pathological phenomena. However, the EEG signals are often corrupted by power line interferences noise and EMG induced noise. These artifacts strongly influence the utility of recorded EEGs and need to be removed for better clinical diagnosis. How to eliminate the effect of the noise is an important preprocessing problem in signalprocessing. In this paper, a novel and efficient power interferences reduction algorithm by the recently developed empirical mode decomposition (EMD) for the EEG signal is proposed. The principle of this method consists of decompositions of the EEG signal into a limited number of intrinsic mode function (IMF). This algorithm can effectively detect, separate and remove a wide variety of artifacts from EEG recording. Experimental results show that the proposed EMD-based algorithm is possible to achieve an excellent balance between suppresses power interference and EMG noise effectively and preserves as many target characteristics of original signal as possible.
Granular computing which imitates the manner of human thinking is a mathematical tool to deal with incomplete, uncertain, imprecise and inconsistent knowledge. Just as a great umbrella, it may be regarded as a label o...
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ISBN:
(纸本)9781615677207
Granular computing which imitates the manner of human thinking is a mathematical tool to deal with incomplete, uncertain, imprecise and inconsistent knowledge. Just as a great umbrella, it may be regarded as a label of theories, methodologies, techniques and tools about granules, mainly including fuzzy set theory, rough set theory and quotient space theory. In this paper we discuss the relationship of three theories. Then we introduce a general model of granular computing and present a macrocosmic (microcosmic) hierarchical representation of granules.
Bio-based human computer interface(HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, an EOG-based HCI system is introduced. It is composed of three parts: EOG ...
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In this paper, we highlight the use of multimedia technology in generating intrinsic summaries of tourism related information. The system utilizes an automated process to gather, filter and classify information on var...
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ISBN:
(纸本)9781605580852
In this paper, we highlight the use of multimedia technology in generating intrinsic summaries of tourism related information. The system utilizes an automated process to gather, filter and classify information on various tourist spots on the Web. The end result present to the user is a personalized multimedia summary generated with respect to users queries filled with text, image, video and real-time news made retrievable for mobile devices. Preliminary experiments demonstrate the superiority of our presentation scheme to traditional methods.
In order to reduce the complexity of hologram generation and holographic display, for the first time the paper combines Gerchberg-Saxton iterative algorithm with Lohmann coding to make phase-only hologram and designs ...
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In order to reduce the complexity of hologram generation and holographic display, for the first time the paper combines Gerchberg-Saxton iterative algorithm with Lohmann coding to make phase-only hologram and designs a digital micromirror device (DMD) display system. Thus we not only solve the problem that the amplitude of the frequency spectrum of object function fluctuates very greatly but also avoid the complicated process for producing hologram produced by the plotter, which is controlled by computer. And by this method we can further avoid the complicated technology by etching silicon crystal and improve the quality of imaging.
An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks con...
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An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks consisting of four different classes, namely the imagination of right hand, left hand, foot and tongue movements. The best correct classification results for the three subjects are73.3％, 81.7％, and 76.7％.
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