Application of optical character recognition with Tesseract in logistics management Online publication date: Mon, 22-Jul-2019
by Sigurd A. Berg; Soo-Yeon Seo; Richard H.Y. So
International Journal of Internet Manufacturing and Services (IJIMS), Vol. 6, No. 3, 2019
Abstract: Warehouse and inventory management poses many challenges, for example in carton handling when upstream suppliers use labelling systems that are incompatible with a company's downstream system. In such cases, information is digitised using manual labour: this process can often become a bottleneck and, eventually, a source of handling errors. In this paper, the feasibility of applying optical character recognition (OCR) technology in carton handling is assessed, and a prototype based on the open-source engine Tesseract is described in detail. Its performance on both printed and handwritten text is quantified, as well as the impact of turning the problem into a matching problem rather than a pure recognition problem.
Online publication date: Mon, 22-Jul-2019
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