Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2017-08-23

Included Journals: EI

Volume: 819

Page Number: 160-168

Abstract: Scene text detection is an important task in computer vision. Many previous work require multi-step processing and are not robust against challenges, such as small-scales and blurring. In this paper, we propose a Multi-level Feature extraction Network (MLFN), which can capture more detailed information and is easy to train. We embed MLFN into the middle of an end-to-end network and achieve a better accuracy and robustness. The experiment results on ICDAR 2011 and ICDAR 2013 further demonstrate the effectiveness of our method. © Springer Nature Singapore Pte Ltd. 2018.