Form classification and retrieval using bag of words with shape features of line structures

Florian Kleber; Markus Diem; Robert Sablatnig

doi:10.1117/12.2037210

24 March 2014 Form classification and retrieval using bag of words with shape features of line structures

Florian Kleber, Markus Diem, Robert Sablatnig

Proceedings Volume 9021, Document Recognition and Retrieval XXI; 902107 (2014) https://doi.org/10.1117/12.2037210
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

In this paper a document form classification and retrieval method using Bag of Words and newly introduced local shape features of form lines is proposed. In a preprocessing step the document is binarized and the form lines (solid and dotted) are detected. The shape features are based on the line information describing local line structures, e.g. line endings, crossings, boxes. The dominant line structures build a vocabulary for each form class. According to the vocabulary an occurrence histogram of structures of form documents can be calculated for the classification and retrieval. The proposed method has been tested on a set of 489 documents and 9 different form classes.

Citation Download Citation

Florian Kleber, Markus Diem, and Robert Sablatnig "Form classification and retrieval using bag of words with shape features of line structures", Proc. SPIE 9021, Document Recognition and Retrieval XXI, 902107 (24 March 2014); https://doi.org/10.1117/12.2037210

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