Multimodal page classification in administrative document image streams

In this paper, we present a page classification application in a banking workflow. The proposed architecture represents administrative document images by merging visual and textual descriptions. The visual description is based on a hierarchical representation of the pixel intensity distribution. The...

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Vydané v:	International journal on document analysis and recognition Ročník 17; číslo 4; s. 331 - 341
Hlavní autori:	Rusiñol, Marçal, Frinken, Volkmar, Karatzas, Dimosthenis, Bagdanov, Andrew D., Lladós, Josep
Médium:	Journal Article
Jazyk:	English Japanese
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2014
Predmet:	Computer Science Image Processing and Computer Vision Original Paper Pattern Recognition Visual and textual document description Multimodal page classification Digital mail room
ISSN:	1433-2833, 1433-2825
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Popis
Shrnutí:	In this paper, we present a page classification application in a banking workflow. The proposed architecture represents administrative document images by merging visual and textual descriptions. The visual description is based on a hierarchical representation of the pixel intensity distribution. The textual description uses latent semantic analysis to represent document content as a mixture of topics. Several off-the-shelf classifiers and different strategies for combining visual and textual cues have been evaluated. A final step uses an n -gram model of the page stream allowing a finer-grained classification of pages. The proposed method has been tested in a real large-scale environment and we report results on a dataset of 70,000 pages.
ISSN:	1433-2833 1433-2825
DOI:	10.1007/s10032-014-0225-8