Text Extraction from Complex Natural Images
نویسندگان
چکیده
منابع مشابه
Text Extraction from Complex Natural Images
The rapid growth in communication technology has led to the development of effective ways of sharing ideas and information in the form of speech and images. Understanding this information has become an important research issue and drawn the attention of many researchers. Text in a digital image contains much important information regarding the scene. Detecting and extracting this text is a diff...
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Images and videos on webs and in databases are increasing. It is a pressing task to develop effective methods to manage and retrieve these multimedia resources by their content. Text, which carries high-level semantic information, is a kind of important object that is useful for this task.When a machine generated text is printed against clean backgrounds, it can be converted to a computer reada...
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Automatic image annotation, structuring of images, content-based information indexing and retrieval are based on the textual data present in those images. Text extraction from images is an extremely difficult and challenging job due to the variations in the text such as text scripts, style, font, size, color, alignment and orientation; and due to extrinsic factors such as low image contrast (te...
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In this study, hybrid Particle Swarm Optimization (PSO)-based Wavelet Neural Network (WNN) for natural scene text extraction is presented. In our approach, wavelet transformation is done on the different current and the wavelet coefficients are obtained. The wavelet coefficients are given as inputs to the wavelet neural network trained by Particle Swarm Optimization (PSO-WNN). The final network...
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ژورنال
عنوان ژورنال: International Journal of Contents
سال: 2010
ISSN: 1738-6764
DOI: 10.5392/ijoc.2010.6.2.001