Skip to Main content Skip to Navigation
Conference papers

Recognition-based segmentation of Nom characters from body text regions of stele images using area Voronoi diagram

Thai V. Hoang 1 Salvatore Tabbone 1 Ngoc-Yen Pham 2
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Segmentation of Nom characters from body text regions of stele images is a challenging problem due to the confusing spatial distribution of the connected components composing these characters. In this paper, for each vertical text line, area Voronoi diagram is employed to represent the neighborhood of the connected components and Voronoi edges are used as nonlinear segmentation hypotheses. Characters are then segmented by selecting appropriate adjacent Voronoi regions. For this purpose, we utilize the information about the horizontal overlap of connected components and the recognition distances of candidate characters provided by an OCR engine. Experimental results show that the proposed method is highly accurate and robust to various types of stele.
Document type :
Conference papers
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download

https://hal.inria.fr/inria-00430806
Contributor : Thai V. Hoang <>
Submitted on : Tuesday, November 10, 2009 - 1:22:10 AM
Last modification on : Thursday, July 15, 2021 - 10:40:04 AM
Long-term archiving on: : Tuesday, October 16, 2012 - 1:32:06 PM

File

CAIP2009.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Thai V. Hoang, Salvatore Tabbone, Ngoc-Yen Pham. Recognition-based segmentation of Nom characters from body text regions of stele images using area Voronoi diagram. International Conference on Computer Analysis of Images and Patterns - CAIP'2009, Sep 2009, Munster, Germany. pp.205-212, ⟨10.1007/978-3-642-03767-2⟩. ⟨inria-00430806⟩

Share

Metrics

Record views

849

Files downloads

934