Symposia & Conferences
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Item Sinhala Handwritten Postal Address Recognition for Postal Sorting(IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Ifhaam, M.F.A.; Jayalal, S.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.Item Augmented Reality to Reconstruct Sri Lankan Cultural Heritage in Prime State: HeladivaAR(Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka, 2016) Galmangoda, G.D.D.M.; Gajanayake, P.Y.S.; Indika, K.P.; Rajapaksha, N.R.; Jayaweera, Y.Sri Lanka is one of the few countries in the world with a great history and cultural heritage which has been a spotlight in the tourism industry. These places attract many of the local as well as foreign visitors because of their historical value. They try to create an imaginary picture of how it could have been all those years back which could be a false image or a much less correct image than the actual image. Which is why this project is unique in the way it represents the ancient historical sites of Sri Lanka as they were at the time where they were in full structure. “HeladivaAR” is mobile phone application offers personalized augmented reality tours of archaeological sites. It uses image processing, 3D modeling, tracker identification using Android platform, historical books and views from historians and augmented reality techniques to enhance information presentation, reconstruct ruined sites, as it was on top of the existing ruins. By means of Augmented Reality, the real scene is enhanced by multimedia personalized interactive information to increase the experience of the user, who can retrieve this information by a user-friendly interface through their mobile phone. In education, virtual heritage becomes a platform for learning, motivating and understanding of certain events and historical elements for the students and researchers. This application provides a better understanding of Sri Lankan cultural heritage and lets users gain interactive knowledge on archeological facts of ancient kingdoms.