Publication
Document Inspection Using Text-Line Alignment
Joost van Beusekom; Faisal Shafait; Thomas Breuel
In: 9th IAPR Workshop on Document Analysis Systems. IAPR International Workshop on Document Analysis Systems (DAS-2010), June 9-11, Boston, MA, USA, ACM, 6/2010.
Abstract
Passports, ID cards, banknotes, and degrees are considered as valuable documents that need to be secured against
forgery. Apart from those, there are many other document
types that are valuable, too, but that do not have any security features, as e.g. bills and vouchers. These may be
used by fraudulent people to defraud money from e.g. a car
insurance company. The wide availability of scanning and
printing hardware allows even non-experts to easily forge a
document. We therefore present a new aspect in the examination of intrinsic document features for optical document
security: the goal is to automatically detect text-lines that
have been manipulated or additionally inserted in a document by inspecting their alignment (left, right or center)
with respect to the other text-lines in the document. This
constitutes an additional feature in the goal of developing
a powerful toolbox for automatic document inspection. Using the extracted text-lines, the alignment margins are extracted. Statistics on the distances of the text-lines to the
alignment margins are used to identify lines that might have
been forged. Such documents can then be presented to a human operator for further inspection. Due to lack of public
datasets containing forged documents, a new dataset had to
be created. Evaluation showed a classification accuracy of
90.5%.