@inproceedings{845af03fe0df4a63b9fa956987f99e73,
title = "Text detection based on affine transformation",
abstract = "Text detection and recognition plays an important roles in many computer vision based systems, since text can provide explicit content information. In natural scene, variations of scale, rotation and position are the main challenges for text detection and recognition algorithms. Thus, rectified text region is required for most text recognition algorithm. In this paper, we proposed a text detection method which can provide accurate text region. With the external quadrilateral of text region, the affine parameters can be estimated. Consequently, the distorted text region can be rectified according to the affine parameters. The proposed method can provide more accurate detection result for text region. In addition, it can enhance the performance of text recognition. The experiments show the effectiveness of the proposed method.",
keywords = "Affine transformation, Inertia spindle, MSER, SWT, Text detection",
author = "Xiaoyue Jiang and Jing Liu and Yu Liu and Lin Zhang and Xiaoyi Feng",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 9th International Conference on Image and Graphics, ICIG 2017 ; Conference date: 13-09-2017 Through 15-09-2017",
year = "2017",
doi = "10.1007/978-3-319-71607-7_37",
language = "英语",
isbn = "9783319716060",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "420--431",
editor = "Yao Zhao and David Taubman and Xiangwei Kong",
booktitle = "Image and Graphics - 9th International Conference, ICIG 2017, Revised Selected Papers",
}