Pallet Sorting using Optical Character Recognition

Abstract: Although, automation led us into the development in terms of sophistication of human efforts in bringing out mass production of more precisely manufactured goods but it needs to be modified to be a smarter intelligent system. Pallet sorting equipment using OCR techniques reduces human efforts in recognizing required position of object. It reduces time required to sort objects with less time. Different preprocessing techniques are used like skew correction, binarization, text recognition etc. In this paper, the proposed system is based on an efficient binarization and enhancement technique followed by a suitable connected hardware assembly is discussed. The objective of the study is to significantly improve the capabilities of pallet sorting by address recognition.

Keywords: OCR, skew correction, text recognition, pallet sort.