We investigate a crowd-based approach to enhance the outcome of optical character recognition in the domain of receipt capturing to keep track of expenses. In contrast to existing work, our approach is capable of extracting single products and provides categorizations for both articles and expenses, through the use of microtasks which are delegated to an unpaid crowd. To evaluate our approach, we developed a smartphone application based on a receipt analysis and an online questionnaire in which users are able to track expenses by taking photos of receipts, and solve microtasks to enhance the recognition. To provide additional motivation to solve these tasks, we make use of gamification.
Maximilian Altmeyer, Pascal Lessel, and Antonio Krüger. "Expense control: a gamified, semi-automated, crowd-based approach for receipt capturing." Proceedings of the 21st International Conference on Intelligent User Interfaces. ACM, 2016.