Combination of OCR engines for page segmentation based on performance evaluation

All of RECERCAT

To access the full text documents, please follow this link: http://hdl.handle.net/2117/19347

Title:	Combination of OCR engines for page segmentation based on performance evaluation
Author:	Ferrer Sumsi, Miquel; Valveny, Ernest
Other authors:	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
Abstract:	In this paper we present a method to improve the performance of individual page segmentation engines based on the combination of the output of several engines. The rules of combination are designed after analyzing the results of each individual method. This analysis is performed using a performance evaluation framework that aims at characterizing each method according to its strengths and weaknesses rather than computing a single performance measure telling which is the "best" segmentation method.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo -Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal -Image processing -- Digital techniques -Optical character recognition -Imatges -- Processament -- Tècniques digitals -Reconeixement òptic de caràcters
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Published version Conference Object
Published by:	Institute of Electrical and Electronics Engineers (IEEE)
Share: