检测图像上是否存在文本的算法 [英] Algorithm to detect presence of text on image

问题描述

通过我的新任务，我正在寻找一种方法来检测图像上是否存在文本.图像是地图 - 例如可以是谷歌地图.任务是检测街道/城市标签的位置.

With my new assignment I am looking for a method to detect the presence of text on image. The image is a map - can be for example google map. The task is to detect where the street/city label is placed.

我知道 opencv 库有可以检测特征(例如人脸)的算法 - haar 分类器或 hog(定向梯度直方图)，但我听说此类算法的学习过程相当困难.

I know that opencv library has algorithm that can detect features (for example human faces) - haar classifier or hog (histogram of oriented gradients), but I heard that learning process of such algorithms is quite difficult.

您是否知道任何算法、方法或库可以做到这一点(检测图像上是否存在文本)?

Do you know of any algorithm, method or a library that could do that (detect presence of text on image)?

谢谢，约翰

推荐答案

视觉中有一个标准问题，叫做图像中的文本检测.它与 OCR 完全不同.OCR 关注它所说的内容，而文本检测是关于确定图像中是否有文本.Adi Shavit 的第三个链接是解决这个问题的方法.您可以在 文本检测.

There is a standard problem in vision called text detection in images. it is quite different to OCR. OCR concerms itself with what it says, while text detection is about determining if there is text in the image. Adi Shavit's third link is a method to address this problem. You can look on google scholar well cited articles on text detection.

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