@inproceedings{73c67fe89fde42218b2e2c270f6c6ff8,
title = "Text detection in nature scene images using two-stage nontext filtering",
abstract = "We present a text detection method in natural scene images based on two-stage nontext filtering. Firstly, we detect multi-channel maximally stable extremal regions (MSERs) as character candidates. To reduce the amount of repeating components, we merge the MSERs by choosing the most character-like ones when overlap happens. Then nontext components are filtered out by a two-stage labeling procedure, wherein we combine random forests with CRF. Finally, components labeled as text are grouped into words by an edge-cut strategy, and false positives are eliminated by a HOG-based classifier. The experimental results on the ICDAR2013 database show the effectiveness of the proposed method.",
keywords = "CRF, MSERs, edge-cut, nontext filtering, random forests, text detection",
author = "Qingqing Wang and Yue Lu and Shiliang Sun",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 13th International Conference on Document Analysis and Recognition, ICDAR 2015 ; Conference date: 23-08-2015 Through 26-08-2015",
year = "2015",
month = nov,
day = "20",
doi = "10.1109/ICDAR.2015.7333735",
language = "英语",
series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",
publisher = "IEEE Computer Society",
pages = "106--110",
booktitle = "13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings",
address = "美国",
}