Title :
Stroke feature extraction for lettrine indexing
Author :
Nguyen, Giap ; Coustaty, Mickael ; Ogier, Jean-Marc
Author_Institution :
L3i Lab., Univ. of La Rochelle, La Rochelle, France
Abstract :
We commonly need to extract the image feature to understand and to realize the processes on it, and for each process we need a suitable feature extraction method. In this paper, we describe a stroke feature extraction method which will used in the lettrine indexing. A lettrine is a letter decorated who appear at the beginning of a chapter or a paragraph in ancient books. It´s principally composed of strokes. This method is developed with the goal to characterize for indexing them by content using these particular components. We thus use strokes instead of pixels as elementary component. This study is innovative and first results are interesting. Indexing tests using this method will be made in the NaviDoMass project.
Keywords :
feature extraction; indexing; text analysis; NaviDoMass project; ancient book; image feature; lettrine indexing; paragraph; stroke feature extraction; Europe; Image segmentation; Ancient documents; features extraction; lettrines; strokes extraction;
Conference_Titel :
Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-7247-5
DOI :
10.1109/IPTA.2010.5586747