2016 DeepTextAUnifiedFrameworkforTex
- (Zhong, Jin et al., 2016) ⇒ Zhuoyao Zhong, Lianwen Jin, Shuye Zhang, and Ziyong Feng. (2016). “DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images.” In: arXiv preprint arXiv:1605.07314.
Subject Headings: DeepText, ICDAR, ICDAR 2011, ICDAR 2013.
Notes
Cited By
Quotes
Abstract
In this paper, we develop a novel unified framework called DeepText for text region proposal generation and text detection in natural images via a fully convolutional neural network (CNN). First, we propose the inception region proposal network (Inception-RPN) and design a set of text characteristic prior bounding boxes to achieve high word recall with only hundred level candidate proposals. Next, we present a powerful textdetection network that embeds ambiguous text category (ATC) information and multilevel region-of-interest pooling (MLRP) for text and non-text classification and accurate localization. Finally, we apply an iterative bounding box voting scheme to pursue high recall in a complementary manner and introduce a filtering algorithm to retain the most suitable bounding box, while removing redundant inner and outer boxes for each text instance. Our approach achieves an F-measure of 0.83 and 0.85 on the ICDAR 2011 and 2013 robust text detection benchmarks, outperforming previous state-of-the-art results.
References
;
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2016 DeepTextAUnifiedFrameworkforTex | Zhuoyao Zhong Lianwen Jin Shuye Zhang Ziyong Feng | DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images |