Title :
Extraction of Nom Text Regions from Stele Images Using Area Voronoi Diagram
Author :
Hoang, Thai V. ; Tabbone, Salvatore ; Pham, Ngoc-Yen
Author_Institution :
MICA Res. Center, Hanoi Univ. of Technol., Hanoi, Vietnam
Abstract :
Automatic processing of images of steles is a challenging problem due to the variation in their structures and body text characteristics. In this paper, area Voronoi diagram is used to represent the neighborhood of connected components in stele images containing Nom characters. Body text region is then extracted from stele images by the selection of appropriate adjacent Voronoi regions based on the information about the thickness of neighboring connected components. Experimental results show that the proposed method is highly accurate and robust to various types of stele.
Keywords :
computational geometry; feature extraction; humanities; image representation; text analysis; area Voronoi diagram; body text characteristic; neighboring connected component thickness; nom text region extraction; stele image processing; stele image representation; Character recognition; Cultural differences; Data mining; Image analysis; Image databases; Image recognition; Image segmentation; Robustness; Text analysis; Text recognition; Area Voronoi diagram; Nom characters; Stele images; Text region extraction;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.13