Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Page segmentation and classification using fast feature extraction and connectivity analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Sauvola, J. ; Dept. of Electr. Eng., Oulu Univ., Finland ; Pietikainen, M.

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

Published in:

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on  (Volume:2 )

Date of Conference:

14-16 Aug 1995