Blind Separation of Mixed and Disturbed Correlated Ancient Texts

Author

Posht-Panah, Shahrouz ; Sahaf, Masoud Reza Aghabozorgi

Author_Institution

Electr. & Comput. Eng. Dept., Yazd Univ., Yazd, Iran

Volume

1

fYear

2009

fDate

28-30 Dec. 2009

Firstpage

195

Lastpage

199

Abstract

One of problems that has been investigated and concentrated in image processing area is separation and recognition of ancient documents and texts images that have been mixed and disturbed in consequence of passing many times. In recent years ICA has been used for solving this problem, but essential assumption in ICA is independence of sources, whereas in some problems sources are not independent. So in this paper it has been tried, by utilizing ESPRIT and MUSIC algorithms from blind source separation techniques, to propose a method for separation and recognition of correlated ancient documents and texts that have been mixed. The good performance of this method has investigated for real images.

Keywords

blind source separation; image classification; independent component analysis; text analysis; ESPRIT algorithms; MUSIC algorithms; blind source separation techniques; disturbed correlated ancient texts; image processing; independent component analysis; mixed correlated ancient texts; texts images; Algorithm design and analysis; Blind source separation; Image processing; Image recognition; Independent component analysis; Ink; Multiple signal classification; Signal processing algorithms; Source separation; Text recognition; Blind Source Separation(BSS); Independent Component Analysis(ICA); MUSIC and ESPRIT algorithms; Recognition of ancient documents;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on

Conference_Location

Dubai

Print_ISBN

978-1-4244-5365-8

Electronic_ISBN

978-0-7695-3925-6

Type

conf

DOI

10.1109/ICCEE.2009.120

Filename

5380639