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Proceedings Paper

Semi-structured document image matching and recognition
Author(s): Olivier Augereau; Nicholas Journet; Jean-Philippe Domenger
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Paper Abstract

This article presents a method to recognize and to localize semi-structured documents such as ID cards, tickets, invoices, etc. Standard object recognition methods based on interest points work well on natural images but fail on document images because of repetitive patterns like text. In this article, we propose an adaptation of object recognition for image documents. The advantages of our method is that it does not use character recognition or segmentation and it is robust to rotation, scale, illumination, blur, noise and local distortions. Furthermore, tests show that an average precision of 97.2% and recall of 94.6% is obtained for matching 7 different kinds of documents in a database of 2155 documents.

Paper Details

Date Published: 4 February 2013
PDF: 12 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 865804 (4 February 2013); doi: 10.1117/12.2003911
Show Author Affiliations
Olivier Augereau, Univ. de Bordeaux (France)
Nicholas Journet, Univ. de Bordeaux (France)
Jean-Philippe Domenger, Univ. de Bordeaux (France)


Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)

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