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The paper by Janssen\cite{janssen2012receipts2go} deals with OCR on receipts, but they don't train the OCR engine for receipts, they just present a new approach for image normalization.  \subsection{Application for the OCR engine}  The main reason for developing this OCR engine was to use it an application, called ReceiptBudget, which would enable users to take a photo of a receipt, the program would then extract the relevant information (date, items, store, total) from the photo, store it in a database, and then user could view an interactive dashboard of his expenses.  The motivation for using this method of data entry is that it is much faster than the alternative, which is much slower, tedious and users are prone to forgetting to do it.  si ceva grafice   aici vine si despre aplicatie One view of the dashboard would allow the user to view a heat map of his expenses, either as a total or on a timeline. Another view would allow the user to filter expenses based on shop, month, day of week and date range, in order to notice patterns in his spending.  The application was presented at the Imprezzio Software Contest in November 2013, where it won the first prize\cite{WinNT}.