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Reports Outline Engineering Study Findings from Department of Information Technology (Cursive Text Recognition in Natural Scene Images Using Deep Convolutional Recurrent Neural Network)

机译:报告概述工程研究结果信息技术部(草书使用文字识别在自然场景图像深卷积递归神经网络)

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By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on engineering. According to news reporting out of the Department of Information Technology by NewsRx editors, research stated, “Text recognition in natural scene images is a challenging problem in computer vision. Different than the optical character recognition (OCR), text recognition in natural scene images is more complex due to variations in text size, colors, fonts, orientations, complex backgrounds, occlusion, illuminations and uneven lighting conditions.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员发布的新报告工程。信息技术部门NewsRx编辑,研究指出,“文本是一个识别在自然场景图像计算机视觉的挑战问题。比光学字符识别(OCR),更自然场景文本识别图像由于文本大小变化复杂,颜色,字体、取向、复杂的背景,闭塞、灯饰和不均匀照明条件。”

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