TY  - CONF
AU  - Marçal Rusiñol
AU  - Dimosthenis Karatzas
AU  - Josep Llados
A2  - ISVC
PY  - 2015//
TI  - Automatic Verification of Properly Signed Multi-page Document Images
T2  - LNCS
BT  - Proceedings of the Eleventh International Symposium on Visual Computing
SP  - 327
EP  - 336
VL  - 9475
KW  - Document Image
KW  - Manual Inspection
KW  - Signature Verification
KW  - Rejection Criterion
KW  - Document Flow
N2  - In this paper we present an industrial application for the automatic screening of incoming multi-page documents in a banking workflow aimed at determining whether these documents are properly signed or not. The proposed method is divided in three main steps. First individual pages are classified in order to identify the pages that should contain a signature. In a second step, we segment within those key pages the location where the signatures should appear. The last step checks whether the signatures are present or not. Our method is tested in a real large-scale environment and we report the results when checking two different types of real multi-page contracts, having in total more than 14,500 pages.
UR  - http://dx.doi.org/doi.org/10.1007/978-3-319-27863-6_30
N1  - DAG; 600.077
ID  - Marçal Rusiñol2015
ER  -