Blind Separation of Mixed and Disturbed Correlated Ancient Texts

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...

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Bibliographische Detailangaben
Hauptverfasser:	Posht-Panah, S., Sahaf, M.R.A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Blind source separation Blind Source Separation(BSS) Image processing Image recognition Independent component analysis Independent Component Analysis(ICA) Ink Multiple signal classification MUSIC and ESPRIT algorithms Recognition of ancient documents Signal processing algorithms Source separation Text recognition
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Beschreibung
Zusammenfassung:	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.
DOI:	10.1109/ICCEE.2009.120