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.