OCR applied to an electronic voting system
Javier Espinosa, Iñaki Goirizelaia, Juan Jose Igarza · Pattern Recognition and Image Analysis · 2007
This paper describes a new electronic secure voting system based on automatic paper ballot reading. It presents how the system is organized, it also describes our OCR system and how it is implemented to read paper ballots, and it ends showing some experimental results. The first step of the OCR system consists in extracting from each character several simple features, which help us to perform distortion processing. These simple features are used to define a key which possibly allows us to identify the character. If this is not the matter and there are several candidates for the obtained key, we need to extract more complex features. This second process is based on the use of floating masks, which are specific for each feature, and on the following of its trajectory through the character stroke.