Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/70320| Author(s): | Jaime S. Cardoso |
| Title: | Stable text line detection |
| Issue Date: | 2009 |
| Abstract: | Text line segmentation in freestyle handwritten documents remains an open document analysis problem. Curvilinear text lines and small gaps between neighbouring text lines present a challenge to algorithms developed for machine-printed or hand-printed documents. We investigate a general-purpose, knowledge-free method for the automatic detection of text lines based on a stable path approach. Lines affected by curvature and inclination are robustly detected. The proposed methodology was tested on a modern set of handwritten images made available on the ICDAR 2009 handwriting segmentation competition, with promissing results. (c) 2009 IEEE. |
| URI: | https://hdl.handle.net/10216/70320 |
| Source: | 2009 Workshop on Applications of Computer Vision, WACV 2009 |
| Document Type: | Artigo em Livro de Atas de Conferência Internacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
This item is licensed under a Creative Commons License
