Open AccessExpiry date recognition using deep neural networks
Author(s) -
Traian Rebedea,
Vlad Alexandru Florea
Publication year - 2020
Publication title -
international journal of user-system interaction
Language(s) - English
Resource type - Journals
ISSN - 2668-3245
DOI - 10.37789/ijusi.2020.13.1.1
Subject(s) - computer science , artificial intelligence , deep learning , artificial neural network , deep neural networks , optical character recognition , character recognition , image (mathematics) , machine learning , pattern recognition (psychology)
This paper proposes a deep learning solution for optical character recognition,specifically tuned to detect expiration dates that are printed on the packaging of food items. This method can be used to reduce food waste, having a significant impact on the design of smart refrigerators and can prove especially useful for persons with vision difficulties, by combining it with a speech synthesis engine. The main problem in designing an efficient solution for expiry date recognition is the lack of a large enough dataset to train deep neural networks. To tackle this issue, we propose to use an additional dataset composed of synthetically generated images. Both the synthetic and real image datasets are detailed in the paper and we show that the proposed method offers a 9.4% accuracy improvement over using real images alone.