Itinerary Card Anti-cheating Beyond OCR

ABSTRACT

Since the COVID-19 pandemic, the itinerary card has become so pertinent to our lives that we need to show our itinerary card whether we take public transport or enter public places. The traditional way to manually check and record the information on the itinerary card is inefficient. It easily leads to congestion at the entrance, especially in high-traffic areas. In addition, some people even falsify their itinerary codes to evade mandatory testing or quarantine for COVID-19. Therefore, an efficient itinerary checking method is needed to alleviate the crowded problem, reduce cross-infection, and intelligently detect itinerary cheating. To address these issues, we propose a deep-learning-based method combined with OCR techniques. This method consists of five parts, including ROI locating, color classification, OCR, information pooling, and anti-cheating. The proposed scheme can extract the itinerary information on the itinerary card and check it. It also provides a certain anti-cheating function. Experimental results show that the proposed scheme can efficiently check the information on the itinerary card with high accuracy. © 2022 IEEE.