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Images captured in foggy weather often suffer from bad visibility, because of bad atmospheric visibility. The existence of particles, dust and water impurities always fade the color and lead to a bad contrast of the observed objects. And then, we will feel indistinct by our eyes. We introduce a novel algorithm of single image that based on hybrid filter in this paper. The algorithm is based on an...
Gabor filters are used to extract holistic feature in facial expression recognition. However, local subtle features can't be extracted effectively and it results in large amounts of data redundancy. In this paper, we proposed a novel facial expression recognition method based on the selection of local Gabor features and the extended nearest neighbor algorithm. The Gabor filter and radial encode is...
It's very popular to mark the concerned regions on a document using a mark pen. How to detect the marked regions in the scanned document images is a difficult problem. In this paper, an approach to solve the above problem is proposed. First, the color pixels and run-length are detected. And then, the mark-lines of document can be attained by using run-length. Finally, the mark-lines to get the marked...
An approach for document orientation detection and classification using Naïve Bayes theorem is proposed in this paper. First, all the characters in a document image will be isolated and some valid ones are selected. Using the valid characters, the document image will be vectorized to a 32-dimensional vector. Gaussian distribution function is used to calculate the probability of each dimension, and...
Based on our previous work, a revised method is proposed for text page up/down orientation detection in this paper. All characters in an scanned image which is from a text page, are isolated by using edge detection algorithm. The feature of each character is extracted through three vertical component runs (VCRs). And the image will be vectorized to a 96-dimensional vector. These samples are trained...
A layout recognition method for multi-page document image is proposed in this paper. Because there exists of spacings in vertical and horizontal direction in this kind of document, vertical and horizontal projection are used to extract the layout feature and Naive Bayes classifier is generated to realize the layout recognition of multi-page document. Experimental results show that the method of this...
An approach for document orientation detection and classification by using support vector machine (SVM) theorem is proposed in this paper. First, all the characters in a document image will be isolated and some valid ones are selected. Using the valid characters, the document image will be vectorized to a 32-dimensional vector by the feature extracting. By training lots of samples, an SVM classifier...
In this paper, an efficient support vector machine (SVM) algorithm for solving multi-class pattern recognition problems is proposed. The samples in each class are trained by one-class SVM (OCSVM), respectively. And then several sets of support vectors (SVs) are obtained, which well express the distribution of the original training samples. These SVs finally are combined into a set of training samples...
In this paper, we propose a learning method for fast training of support vector machines (SVMs). First, we divide the two-class training samples into two sets according to the labels. Secondly, the two set one-class samples are trained by using one-class SVM (OCSVM) respectively, and we get two set support vectors (SVs). Finally, the two set SVs are combined into a set of two-class training samples...
The problem of sellers pricing in electronic marketplaces can be ranked as a coordination games, the paper puts forward a agentspsila belief revision model and a learning algorithm which is based on the similarity of agentspsila strategies in coordination games. By position-exchanging, each agent stands from the viewpoint of its opponent and infers opponentspsila actions,. The belief revision model...
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