@inproceedings{Simon15:FCI,
    type = {inproceedings},
    key = {Simon15:FCI},
    title = {Fine-grained Classification of Identity Document Types with Only One Example},
    author = {Marcel Simon and Erik Rodner and Joachim Denzler},
    booktitle = {Machine Vision Applications (MVA)},
    year = {2015},
    pages = {126-129},
    abstract = {This paper shows how to recognize types of identity documents, such as passports, using state-of-the-art visual recognition approaches. Whereas recognizing individual parts on identity documents with a standardized layout is one of the old classics in computer vision, recognizing the type of the document and therefore also the layout is a challenging problem due to the large variation of the documents. In our paper, we evaluate different techniques for this application including feature representations based on recent achievements with convolutional neural networks.},
    groups = {industrial,finegrained},
    url = {http://www.mva-org.jp/mva2015/FinalProgram_20150423_clean.pdf},
}