4 February 2013 Semi-structured document image matching and recognition
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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.
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Olivier Augereau, Olivier Augereau, Nicholas Journet, Nicholas Journet, Jean-Philippe Domenger, Jean-Philippe Domenger, "Semi-structured document image matching and recognition", Proc. SPIE 8658, Document Recognition and Retrieval XX, 865804 (4 February 2013); doi: 10.1117/12.2003911; https://doi.org/10.1117/12.2003911
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