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A recent surge of interest is to recognize Bangla characters. Bangla characters represent complex, multidimensional and meaningful visual information and developing a computational model for Bangla character recognition is a challenging job. This research presents a hybrid neural network solution for Bangla character recognition which combines local image sampling and artificial neural network. The...
This paper introduces a novel image recognition method based on the neural oscillator network. In the present method, the dynamics of neurons is determined from neural coupling strengths relevant to the similarities in pixel levels, which have been used in the conventional image segmentation, as well as geometrical local features obtained from the Gabor filtering. Then the image regions under resultant...
VFD (vacuum fluorescent display) is commonly used in stereos, carradio and in other electronic equipment. Then exactly recognizing the characteristics of VFD is significant. A novelty computer vision system based on artificial neural network for VFD inspection is presented in this paper. The system includes hardware and software; camera and image acquisition board can acquire the on-line image of...
In the automated license plate recognition system, many reading errors are caused by inadequate character recognition method. This paper presents a novel character recognition method of license plate number based on parallel BP neural networks. This will enhance the accuracy of the recognition system that aims to read automatically the Chinese license plate. In the proposed methodology, the character...
This paper puts forward an on-line automatic inspecting means, which covers ART2 neural network, wavelet transform and D-S evidence theory for types of auto rack girders. Firstly, for the real-time gathered auto rack girders top image on line, extracting wavelet decomposed coefficient of image with wavelet transform, energy value of wavelet coefficient is used as a character template; top images of...
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