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METHODS AND APPARATUS TO DETECT A TEXT REGION OF INTEREST IN A DIGITAL IMAGE USING MACHINE-BASED ANALYSIS

机译:基于机器分析的数字图像兴趣文本区域检测方法和装置

摘要

Methods, apparatus, systems and articles of manufacture are disclosed to analyze characteristics of text of interest using a computing system. An example apparatus includes a text detector to provide text data from a first image, the first image including a first text region of interest and a second text region not of interest, a color-coding generator to generate a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics, and a convolutional neural network (CNN) to determine a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images.
机译:公开了用于使用计算系统分析关注文本的特征的方法,装置,系统和制品。示例设备包括:文本检测器,用于从第一图像提供文本数据,该第一图像包括感兴趣的第一文本区域和不感兴趣的第二文本区域;颜色编码生成器,其生成多个颜色编码的文本,地图图像,多个颜色编码的文本地图图像,包括具有不同颜色的颜色编码段,对应于不同文本特征的颜色编码段以及确定第一图像中第一位置的卷积神经网络(CNN)基于对第一图像和多个颜色编码的文本映射执行CNN分析,因此与第一图像中与第二文本区域相对应的,不感兴趣的第二位置相比,第二图像更可能是第一文本感兴趣区域图片。

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