Alpha-Numerical Sequences Extraction in Handwritten Documents

In this paper, we introduce an alpha-numerical sequences extraction system (keywords, numerical fields or alpha-numerical sequences) in unconstrained handwritten documents. Contrary to most of the approaches presented in the literature, our system relies on a global handwriting line model describing two kinds of information : i) the relevant information and ii) the irrelevant information represented by a shallow parsing model. The shallow parsing of isolated text lines allows quick information extraction in any document while rejecting at the same time irrelevant information. Results on a public french incoming mails database show the efficiency of the approach.

• Type: Journal
• Year: 2010
• Where: ICFHR
• Authors: Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet
• Keywords: Alpha-numerical Sequences, Biometrics, ICFHR 2010, Irrelevant Information, Shallow Parsing