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Detecting text accurately is an essential requirement for text recognition. In this paper, we propose a method to automatically detect text information in images. We firstly find the candidates of text regions based on the analysis of connected components and extract textural features in these candidate regions. We apply Multiple Kernel Learning to train a classifier with an optimal combination of...
Object categorization has become active in the field of pattern recognition. There are two main factors which affect the performance of classification. One is the representation of images, and the other is the design of classifier. The representation of images based on bag-of-word (BOW) has become a popular method because of its simpleness and high efficiency. This paper aims to compare some state-of-the-art...
Traffic sign detection is important to a robotic vehicle that automatically drives on roads. In this paper, an efficient novel approach which is enlighten by the process of the human vision is proposed to achieve automatic traffic sign detection. The detection method combines bottom-up traffic sign saliency region with learning based top-down features of traffic sign guided search. The bottom-up stage...
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