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AUTOMATIC DOMINANT ORIENTATION ESTIMATION IN TEXT IMAGES BASED ON STEERABLE FILTERS
AUTOMATIC DOMINANT ORIENTATION ESTIMATION IN TEXT IMAGES BASED ON STEERABLE FILTERS
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机译:基于可控滤镜的文本图像中的自动优势定位估计
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摘要
Briefly, in accordance with one or more embodiments, an image processing system is capable of receiving an image containing text, applying optical character recognition to the image, and then audibly reproducing the text via text-to-speech synthesis. Prior to optical character recognition, an orientation corrector is capable of detecting an amount of angular rotation of the text in the image with respect to horizontal, and then rotating the image by an appropriate amount to sufficiently align the text with respect to horizontal for optimal optical character recognition. The detection may be performed using steerable filters to provide an energy versus orientation curve of the image data. A maximum of the energy curve may indicate the amount of angular rotation that may be corrected by the orientation corrector.
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