Chinese And English Bilingual Scene Text Detection

被引：0

作者：

Sha, Yuan ^{[1
]}

Shi, Ping ^{[1
]}

You, Jian ^{[1
]}

Bao, Xiaojie ^{[1
]}

Fu, Sizhe ^{[1
]}

Zeng, Guoxiang ^{[1
]}

机构：

[1] Commun Univ China, Coll Informat Engn, Beijing, Peoples R China

来源：

2017 IEEE 3RD INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC) | 2017年

关键词：

RECOGNITION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we develop an end-to-end framework for text region proposal generation and text detection in the natural scene, which takes advantage of the efficient training strategies of the neural network. We make some technical changes over the SSD architectures, so that our method can handle the Chinese and English bilingual situation. Experiments show that our method exceeds the state-of-the-art performance in ICDAR and MSRA-TD500 datasets. Furthermore, we compare the influence of factors such as NMS in detail on the experimental results.

引用

页码：499 / 503

页数：5

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