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Author | Juan Ignacio Toledo; Alicia Fornes; Jordi Cucurull; Josep Llados | ||||
Title | Election Tally Sheets Processing System | Type | Conference Article | ||
Year | 2016 | Publication | 12th IAPR Workshop on Document Analysis Systems | Abbreviated Journal | |
Volume | Issue | Pages | 364-368 | ||
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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. | ||||
Address | Santorini; Greece; April 2016 | ||||
Corporate Author | Thesis | ||||
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Language | Summary Language | Original Title | |||
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Area | Expedition | Conference ![]() |
DAS | ||
Notes | DAG; 602.006; 600.061; 601.225; 600.077; 600.097 | Approved | no | ||
Call Number | TFC2016 | Serial | 2752 | ||
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