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https://hdl.handle.net/10216/70320
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DC Field | Value | Language |
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dc.creator | Jaime S. Cardoso | |
dc.date.accessioned | 2022-09-11T08:06:19Z | - |
dc.date.available | 2022-09-11T08:06:19Z | - |
dc.date.issued | 2009 | |
dc.identifier.other | sigarra:65267 | |
dc.identifier.uri | https://hdl.handle.net/10216/70320 | - |
dc.description.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. | |
dc.language.iso | eng | |
dc.relation.ispartof | 2009 Workshop on Applications of Computer Vision, WACV 2009 | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.title | Stable text line detection | |
dc.type | Artigo em Livro de Atas de Conferência Internacional | |
dc.contributor.uporto | Faculdade de Engenharia | |
dc.identifier.doi | 10.1109/wacv.2009.5403119 | |
dc.identifier.authenticus | P-007-T0F | |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
This item is licensed under a Creative Commons License