Title :
Page segmentation and classification using fast feature extraction and connectivity analysis
Author :
Sauvola, Jaakko ; Pietikainen, Matti
Author_Institution :
Dept. of Electr. Eng., Oulu Univ., Finland
Abstract :
Page segmentation and classification are important parts of the document analysis process. The aim is to extract and classify different parts of the page. This paper proposes an approach in which these two phases are combined. The integration process includes fast feature extraction with rule-based classification and label propagation using connectivity analysis providing classified areas in three categories: background, text and picture
Keywords :
feature extraction; image classification; image segmentation; knowledge based systems; background; connectivity analysis; document analysis process; fast feature extraction; integration process; label propagation; page classification; page segmentation; picture; rule-based classification; text; Availability; Electronic mail; Feature extraction; Gabor filters; Government; Image segmentation; Optical character recognition software; Personal communication networks; Text analysis; Text recognition;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.602118
