Autores

Categoria WoS

Area

Titulo:	Restoration of Old Documents with Genetic Algorithms
Tipo:	revista internacional
Fecha:	4,2003
Revista:	Lecture Notes in Computer Science. Applications of Evolutionary Computing JCR Journal; Impact Factor: 0.402 SCIMago SJR:
Volumen:	LNCS 2611
Paginas:	432-443
ISSN:	0302-9743
ISBN:	3-540-00976-0
Editorial:	Springer-Verlag
	Berlin (Alemania)

Abstract:

Image recognition is a problem present in many real-world applications. In this paper we present an application of genetic algorithms(GAs) to solve one of those problems: the recovery of a deteriorated old document from the damages caused by centuries. This problem is particulary hard because these documents are affected by many years. This makes this problem unaffordable by other image processing techniques, but results show how GAs can successfully solve this problem.

SABIA

.: SABIA :. Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial