@InProceedings{JuanIgnacioToledo2016,
author="Juan Ignacio Toledo
and Alicia Fornes
and Jordi Cucurull
and Josep Llados",
title="Election Tally Sheets Processing System",
booktitle="12th IAPR Workshop on Document Analysis Systems",
year="2016",
pages="364--368",
abstract="In paper based elections, manual tallies at polling station level produce myriads of documents. These documents share a common form-like structure and a reduced vocabulary worldwide. On the other hand, each tally sheet is filled by a different writer and on different countries, different scripts are used. We present a complete document analysis system for electoral tally sheet processing combining state of the art techniques with a new handwriting recognition subprocess based on unsupervised feature discovery with Variational Autoencoders and sequence classification with BLSTM neural networks. The whole system is designed to be script independent and allows a fast and reliable results consolidation process with reduced operational cost.",
optnote="DAG; 602.006; 600.061; 601.225; 600.077; 600.097",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2752), last updated on Thu, 28 Mar 2019 09:47:12 +0100",
doi="10.1109/DAS.2016.37",
file=":http://refbase.cvc.uab.es/files/TFC2016.pdf:PDF"
}