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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liuan Wang Wei Fan Jun Sun Satshi Naoi Hiroshi, T. |
| Copyright Year | 2015 |
| Description | Author affiliation: Fujitsu Labs. Ltd., Kawasaki, Japan (Hiroshi, T.) || Fujitsu R&D Center Co., Ltd., Beijing, China (Liuan Wang; Wei Fan; Jun Sun; Satshi Naoi) |
| Abstract | Text line extraction in document images is an important prerequisite for many content based image understanding applications. In this paper, we propose an accurate and robust method for generic text line extraction, which can be applied on large categories of document images, diverse languages, and text lines with different orientations. Firstly, the candidate connected components are extracted from document image using Maximal Stable Extremal Region (MSER) with the noises filtered by Adaboost and Convolution Neural Network (CNN). Then, the coarse text lines are generated from hierarchical edges reconstruction and cut by local linearity of text lines in the document spanning tree. Finally, for accurate text line extraction, the cut multi-components are re-connected based on text line energy minimization in terms of text line consistency and the fitting error. Experimental results on multilingual test dataset demonstrate the effectiveness and robust of the proposed method, which yields higher performance compared with state-of-the-art methods. |
| Starting Page | 191 |
| Ending Page | 195 |
| File Size | 934886 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479918058 |
| DOI | 10.1109/ICDAR.2015.7333750 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-23 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Benchmark testing Image segmentation Surveillance Image recognition Integrated optics Optical imaging text line energy minimization generic text line extraction MSER hierarchical edge reconstruction and cut |
| Content Type | Text |
| Resource Type | Article |
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