TY  - JOUR
AU  - Marçal Rusiñol
AU  - Volkmar Frinken
AU  - Dimosthenis Karatzas
AU  - Andrew Bagdanov
AU  - Josep Llados
PY  - 2014//
TI  - Multimodal page classification in administrative document image streams
T2  - IJDAR
JO  - International Journal on Document Analysis and Recognition
SP  - 331
EP  - 341
VL  - 17
IS  - 4
PB  - Springer Berlin Heidelberg
KW  - Digital mail room
KW  - Multimodal page classification
KW  - Visual and textual document description
N2  - 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.
SN  - 1433-2833
UR  - http://dx.doi.org/10.1007/s10032-014-0225-8
N1  - DAG; LAMP; 600.056; 600.061; 601.240; 601.223; 600.077; 600.079
ID  - Marçal Rusiñol2014
ER  -