Please use this identifier to cite or link to this item: http://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. © 2009 IEEE.
Call Number: 65267
URI: http://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

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