TY  - CONF
AU  - Albert Gordo
AU  - Marçal Rusiñol
AU  - Dimosthenis Karatzas
AU  - Andrew Bagdanov
A2  - ICDAR
PY  - 2013//
TI  - Document Classification and Page Stream Segmentation for Digital Mailroom Applications
BT  - 12th International Conference on Document Analysis and Recognition
SP  - 621
EP  - 625
N2  - In this paper we present a method for the segmentation of continuous page streams into multipage documents and the simultaneous classification of the resulting documents. We first present an approach to combine the multiple pages of a document into a single feature vector that represents the whole document. Despite its simplicity and low computational cost, the proposed representation yields results comparable to more complex methods in multipage document classification tasks. We then exploit this representation in the context of page stream segmentation. The most plausible segmentation of a page stream into a sequence of multipage documents is obtained by optimizing a statistical model that represents the probability of each segmented multipage document belonging to a particular class. Experimental results are reported on a large sample of real administrative multipage documents.
SN  - 1520-5363
L1  - http://refbase.cvc.uab.es/files/GRK2013c.pdf
UR  - http://dx.doi.org/10.1109/ICDAR.2013.128
N1  - DAG; 600.056; 602.101
ID  - Albert Gordo2013
ER  -