@inproceedings{9b2463f45c9944bc8a19b129870637f7,
title = "Text particles multi-band fusion for robust text detection",
abstract = "Texts in images and videos usually carry important information for visual content understanding and retrieval. Two main restrictions exist in the state-of-the-art text detection algorithms: weak contrast and text-background variance. This paper presents a robust text detection method based on text particles (TP) multi-band fusion to solve there problems. Firstly, text particles are generated by their local binary pattern of pyramid Haar wavelet coefficients in YUV color space. It preserves and uniforms text-background contrasts while extracting multi-band information. Secondly, the candidate text regions are generated via density-based text particle multi-band fusion, and the LHBP histogram analysis is utilized to remove non-text regions. Our TP-based detection framework can robustly locate text regions regardless of diversity sizes, colors, rotations, illuminations and text-background contrasts. Experiment results on ICDAR 03 over the existing methods demonstrate the robustness and effectiveness of the proposed method.",
keywords = "LHBP, Local binary pattern, Multi-band fusion, Text detection, Text particle",
author = "Pengfei Xu and Rongrong Ji and Hongxun Yao and Xiaoshuai Sun and Tianqiang Liu and Xianming Liu",
year = "2008",
doi = "10.1007/978-3-540-69812-8\_58",
language = "英语",
isbn = "3540698116",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "587--596",
booktitle = "Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings",
address = "德国",
note = "5th International Conference on Image Analysis and Recognition, ICIAR 2008 ; Conference date: 25-06-2008 Through 27-06-2008",
}