Abstract:
Sri Lankan post office mail sorting process is done manually, even today. Though employees are well experienced, it
takes considerable time and employees need to work overtime in places like Central Mail Exchange (CME). With major
issues like unclear handwriting, having trouble to recognize some uncommon or ambiguous names, and carrying these
duties twice a day create a negative impact on the efficiency of the postal delivery system. In the prevailing system,
forward mails and delivery mails are the two categories of separating mails at the sorting centers. Delivery mails are the
posts which can be delivered to its destination directly. Forward mails are the ones which need to be sent to an
appropriate post office that can deliver the particular post to its destination. Majority of Sri Lankans use Sinhala
language for their day to day activities. The primary objective of the research is to identify the automatic way of
forwarding the letter to the next post office from the current post office. Proposed system is focused on the recognition of
Sinhala handwriting using Optical Character Recognition (OCR) and image processing technologies. Data collected
under different criteria were used for training and testing the solution. Genetic Algorithm (GA) was used to generate
more optimized results faster with higher accuracy. Given addresses are written in the default format. This format can be
extended to more formats as improvements in future. The algorithm shows accuracy over 92% for addresses which are
recognized with 3 misrecognized characters. This algorithm can be used on practice scenario as the AI Recognition has
more than 79 % of accuracy.
