PT Unknown
AU Juan Ignacio Toledo
   Alicia Fornes
   Jordi Cucurull
   Josep Llados
TI Election Tally Sheets Processing System
BT 12th IAPR Workshop on Document Analysis Systems
PY 2016
BP 364
EP 368
DI 10.1109/DAS.2016.37
AB 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.
ER