This paper presents a new image coding scheme based upon image patternrecognition (IPR) and discrete wavelet transforms (DWT). First, the original image is predicted by image patternrecognition, then the predicted e...
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The importance of decision making problem in an imprecise environment is growing very significantly in recent years. An object recognition from an imprecise multiobserver data has been presented here. We apply the con...
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A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMBP) is subsequently presented for robus...
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New patternrecognition method is considered that is based on ensembles of "syndromes". The developed method that is referred to as Multi-model statistically weighted syndromes (MSWS) is further development ...
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This paper present a neural network-based real time patternrecognition system. The system arbitrates between multiple networks to improve performance over a single network. This system presents a straightforward proc...
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ISBN:
(纸本)9781601321541
This paper present a neural network-based real time patternrecognition system. The system arbitrates between multiple networks to improve performance over a single network. This system presents a straightforward procedure for aligning positive face examples for training. A backpropagation neural network is used to learn the detected pattern. The pattern is detected by color vector algorithm. After learning a pattern the neural network is stored as a JA VA object. The pattern of real time images are fed into stored neural network and find the threshold between stored pattern and real time pattern. The output will be given on the comparison of thresholds of the neural networks. The process of recognition of image or character is done by implementing JA VA thread concurrently.
Moment invariants have been widely applied to image patternrecognition in a variety of applications due to its invariant features on image translation, scaling and rotation. The invariant properties are strictly inva...
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ISBN:
(纸本)9789048191123
Moment invariants have been widely applied to image patternrecognition in a variety of applications due to its invariant features on image translation, scaling and rotation. The invariant properties are strictly invariant for the continuous function. Normally, images in practical applications are discrete. Consequently, the moment invariants may change over image geometric transformation. To address this research problem, an analysis with respect to the variation of moment invariants on image geometric transformation is presented in this paper, i.e., scaling and rotation. The guidance is also provided for minimizing the fluctuation of moment invariants.
The nearest neighbor classification is a. simple and effective technique for patternrecognition. The performance of this technique is known to be sensitive to the distance function used in classifying a test instance...
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ISBN:
(纸本)9783642135286
The nearest neighbor classification is a. simple and effective technique for patternrecognition. The performance of this technique is known to be sensitive to the distance function used in classifying a test instance. In this paper, we propose a technique to learn sample weights via, maximizing classification consistency. Experimental analysis shows that the distance trained in this way enlarges the classification consistency on several datasets and has a strong ability to tolerate noise. Moreover, the proposed approach has better performance than nearest neighbor classification and several state-of-the-art methods.
The key performances of the star patternrecognition algorithms are the identification efficiency and the time consumed. In the past decades, much effort has been made, and lots of them are made out. To reduce the com...
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A new iris recognition system based on Wavelet Packet Analysis and Morlet wavelet is described. Morlet wavelet calculations are easy compared to Gabor wavelets. Moreover Gabor wavelet based iris recognition system is ...
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A novel approach to recognize facial expressions from static images is proposed in this paper. The local binary pattern (LBP) operator is adopted as an effective feature extraction tool for facial image data. An unsup...
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