Drop Caps Decomposition for Indexing a New Letter Extraction Method

Author

Coustaty, Mickael ; Ogier, Jean-Marc ; Pareti, Rudolf ; Vincent, Nicole

Author_Institution

Imedoc Team, L3i Lab., La Rochelle, France

fYear

2009

Firstpage

476

Lastpage

480

Abstract

This paper present a new method to extract shapes in drop caps and particularly the most important shape: letter itself. This method relies on a combination of a Aujol and Chambolle algorithm first, and a segmentation using a Zipf law in a second step. This method can be enhanced as a three-step process: 1) decomposition in layers 2) segmentation using a Zipf law 3) selection of connected components to only emphasize the required information - letter itself.

Keywords

database indexing; document image processing; feature extraction; image segmentation; object recognition; shape recognition; statistical analysis; Aujol-and-Chambolle algorithm; Zipf law; connected component selection; drop caps decomposition; drop caps recognition; empirical law; image segmentation; letter extraction method; printed document image processing; shape extraction; structure-based indexing; three-step process; Books; Data mining; Degradation; Graphics; Indexing; Information analysis; Laboratories; Printing; Shape; Text analysis; Decomposition; Drop Caps; Meyer; Old Documents; Segmentation; Zipf´ Law;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on

Conference_Location

Barcelona

ISSN

1520-5363

Print_ISBN

978-1-4244-4500-4

Electronic_ISBN

1520-5363

Type

conf

DOI

10.1109/ICDAR.2009.233

Filename

5277624