基于字符识别的场景图像单词识别

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Pub Date : 2018-06-01 DOI:10.1109/CVPRW.2018.00244

Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov

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引用次数: 4

摘要

在本文中，我们解决了场景图像中的无约束词识别问题。我们训练一个全卷积网络来生成所有字符类的热图。然后，我们采用Text Proposals方法，通过矩形分类器，根据字符属性映射为每个查询词检测最可能的矩形。我们在ICDAR2015上对该方法进行了评估，结果表明该方法能够对自然场景图像中的查询词进行识别。

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Word Spotting in Scene Images Based on Character Recognition

In this paper we address the problem of unconstrained Word Spotting in scene images. We train a Fully Convolutional Network to produce heatmaps of all the character classes. Then, we employ the Text Proposals approach and, via a rectangle classifier, detect the most likely rectangle for each query word based on the character attribute maps. We evaluate the proposed method on ICDAR2015 and show that it is capable of identifying and recognizing query words in natural scene images.

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来源期刊

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

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