Authors:
Andreas Hartl
;
Clemens Arth
and
Dieter Schmalstieg
Affiliation:
Graz University of Technology, Austria
Keyword(s):
Machine-Readable Zone, Text, Detection, Recognition, Document Inspection, Mobile Phone.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Document Imaging in Business
;
Mobile Imaging
Abstract:
Many security documents contain machine readable zones (MRZ) for automatic inspection. An MRZ is intended to be read by dedicated machinery, which often requires a stationary setup. Although MRZ information can also be read using camera phones, current solutions require the user to align the document, which is rather tedious. We propose a real-time algorithm for MRZ detection and recognition on off-the-shelf mobile devices. In contrast to state-of-the-art solutions, we do not impose position restrictions on the document. Our system can instantly produce robust reading results from a large range of viewpoints, making it suitable for document verification or classification. We evaluate the proposed algorithm using a large synthetic database on a set of off-the-shelf smartphones. The obtained results prove that our solution is capable of achieving good reading
accuracy despite using largely unconstrained viewpoints and mobile devices.