检测图像上文本的存在的算法 [英] Algorithm to detect presence of text on image

问题描述

使用我的新作业，我正在寻找一种方法来检测图像上的文本的存在。图像是地图 - 可以是例如谷歌地图。任务是检测街道/城市标签的放置位置。

我知道opencv库具有可以检测特征（例如人脸）的算法 - haar分类器hog（定向渐变的直方图），但我听说这种算法的学习过程是相当困难的。

你知道任何算法，方法或库

解决方案

视觉中存在称为文本检测的标准问题。它与OCR完全不同。 OCR使其本身与它所说的一致，而文本检测是关于确定图像中是否存在文本。 Adi Shavit的第三个链接是一种解决这个问题的方法。您可以查看有关文本检测。

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.

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.

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

Thanks, John

解决方案

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.

这篇关于检测图像上文本的存在的算法的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！