摘要
近年来自然场景图像中的文字检测与识别越来越得到人们的关注,主要是因为图像中的文字检测与识别对于理解图片内容、建立图像索引具有重要的意义。本文针对图像文字检测与识别这一领域的核心的问题即文字检测与定位,首先通过介绍了图像中的文字检测的基本概念,然后通过介绍和对比各种图像文字检测的方法的优缺点,我们可以得出这样一个结论即结合深度学习方法和大数据来进行自然场景图像文字检测与识别已经成为一个趋势和热点,文章最后总结了该领域的挑战和最新的发展趋势。
In recent years, natural image scene text detection has attracted more and more attention. Scene text detection is of significant value for comprehending content of image and retrieving image. To detect and locate text in image is the key problem in image text recognition. First, the paper introduces the basic concept of scene text detection and recognition.Then the paper analyzes, compares, and contrast different methods. So we can learn about the advantages and disadvantages of different methods. Naturally, we can conclude that the combination of deep learning and big data has become a trend for researchers because of the obvious of big data. At the end of the paper, it summarizes the challenge and trend in natural image scene text detection and recognition.
出处
《电子设计工程》
2016年第24期165-168,共4页
Electronic Design Engineering
关键词
自然场景文字检测
文字识别
深度学习方法
scene text recognition
natural scene text recognition
deep learning
