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At present, the research on automatic fingerprint identification system (AFIS) is mainly focused on three parts: image enhancement, fingerprint classification and minutiae matching. Fingerprint matching is the key to the whole system and effects on the accuracy and efficiency of the whole system directly. In this paper, a new minutia matching method based on ridge tracing is proposed. When a minutia...
In this paper, one improved algorithm for the selection of local dynamic threshold based on niched genetic algorithm is proposed. With the maximum variance method being used as the fitness evaluation function, the genetic algorithm is designed, putting the image segmentation problem into one of the optimization issue. The optimal threshold is searched from the all segmentation parameter space by experiencing...
Context analysis is a crucial issue in dynamic meeting scenarios for online information service and offline semantic information retrieval. Four high-level semantic contexts, that is, "monologue", "presentation", "discussion" and "break", are considered and analyzed in dynamic meeting scenarios in this paper. To characterize four semantic contexts by event fusion...
Most meeting analysis and archiving systems are offline-processing systems, in which features and events during meeting are extracted and detected according to the predefined procedure. Owing to the absence of contextual information online guidance in dynamic scene, some important information is missed, which cannot provide active service according to the current situation. In this paper, we develop...
Aiming at the features of satellite images and the need of meteorology researches and transactions, it is proposed here to utilize the existing image fusion technologies to fuse the meteorological satellite images. Two image fusion methods, wavelet transformation and HIS transformation, are used here. NOAA/AVHRR images and EOS/MODIS images are studied as examples. It is proven that wavelet transformation...
The self-organizing map (SOM) is a powerful tool for exploratory data analysis which has been employed in a wide range of color clustering. SOM, which is an unsupervised neural network mapping a set of n-dimensional vectors to a two-dimensional topographic map, can achieve the near-optimal segmentation with low computational cost. We point out that the number of output units used in a SOM influences...
A kind of trading off algorithm of target classification combined with double mode intelligent fusion is presented, Applying neuron-fuzzy technique to the synthesis of the complementary information between radar and infrared, through combining neuron-fuzzy technique with D-S evidence fusion theory, the ability of target classification could be improved. At the same time, according to the effective...
Fuzzy C-Means clustering is one of the most perfective and widely used algorithms based on objective function for unsupervised classification. Considering the spatial relationship of pixels when it is used in remote sensing imagery, Neighbor-based FCM algorithm is put forward with the method of modifying the value of fuzzy membership degrees with the neighbor information during the clustering iterations...
Most of the proposed algorithms for blind sources separation are not able to extract the source signals when the unknown sources are not mutually statistically independent. In this paper, the blind separation problem for uncorrelated signals is explored. A novel algorithm is proposed based on the nonnegative matrix factorization methods with the least correlated component constraints. The algorithm...
Speech endpoint detection continues to be a challenging problem particularly for speech recognition in noisy environments. The most popular existing detection method is the simple energy detector which performs adequately for clean speech. Problems arise in noisy environments for low energy phonemes at the endpoints. In this paper, we propose a new algorithm based on the theory of fractals and chaos,...
We propose a vehicle detection method based on traffic flow images obtained from a video camera set up on a low place such as the roadside or a sidewalk. We use the shadows underneath vehicles as a means of detecting them. Our method specifies the size of each vehicle according to the distance between its front and rear tires and our method also specifies the lane on which it exists. Our method has...
A new method which can enhance the contrast between a target and its background robust to noise is explored by using the a acute trous algorithm and modified seeded-region-growing algorithm. The target can be extracted ultimately with this method. This article also shows the precision and the effectiveness of the proposed method in extraction dot and spot target in a single frame by the experimental...
A new algorithm for estimating parameters and angle-of-arrival (AOA) of chirps using matching pursuit (MP) method is presented in this paper. This algorithm is based on the concept of sparse representation of signal and applied into fractional Fourier transform (FRFT) domain and 2D AOAs estimation in the end of the paper. The problem of source localization of chirps has once been solved with time-frequency...
For the purpose of improving the predictive accuracy and interpretability of telecom customer retention prediction model, MBBCTree Algorithm, which integrates the advantage of Markov blanket Bayesian networks (MBBC) and decision tree, is proposed in this paper to predict customers' lifetime. MBBCTree classifier uses a tree structure to split the instance space into sub-spaces and generates one MBBC...
Approximate inferring approach of Credal network based on ant colony algorithms is put forward. Considering network inferring of goal-oriented in Bayesian network for the variable decision-maker is interested in given some evidence, the paper gives arithmetic for acquiring equivalent Credal network structure of goal-oriented. Selecting of these vertexes in Credal network is considered as a multistage...
Human's soul is very complex, it is related to stimulus and mental process. In this paper, a primary exploration for virtual human 's mental variables is presented, mental variables include emotion, motivation, and personality. For example, modeling emotion is an interesting topic in many fields. Emotion decision includes uncertain information, and grey number is suitable to express uncertain information...
This paper establishes a clear procedure for finite-length beam problem and convection-diffusion equation solution via Haar wavelet technique. An operational matrix of integration based on the Haar wavelet is established,and the procedure for applying the matrix to solve the differential equations is formulated. The fundamental idea of Haar wavelet method is to convert the differential equations into...
Clustering aims to study the instance distribution in scale-space. Its characteristics are very similar to the particle world in quantum mechanism. The probability wave function describes the distribution of particle, and the Schrodinger equation is the major methodology of solving for wave function when restricted boundary condition is given.Once wave function is confirmed, and the quantum potential...
An empirical AM/FM (amplitude modulation and frequency modulation) demodulation for computing the instantaneous frequency of an intrinsic mode function produced by the empirical mode decomposition has been proposed by Huang and his coworkers. This method totally eschews the Hilbert transform and can compute the instantaneous frequency of an intrinsic mode function very accurately. However, this paper...
Ridgelet is the new development of wavelet dealing with line singularities in signals. In goundpenetrating radar (GPR) signal, the direct wave is a strong noise which has line singularity. In time-space domain, the useful information in GPR signal is badly polluted by strong direct wave so that the underground targets can not be recognized correctly. Ridgelet overcomes the disadvantages of wavelets...
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