Potential Development of Pattern Recognition System for Balinese Cultural Objects in Informatics Education
Made Windu Antara Kesiman

Virtual, Vision, Image, and Pattern Research Group
Faculty of Engineering and Vocational
Universitas Pendidikan Ganesha

Abstract

The development of pattern recognition technology which is part of the field of computer vision is very rapid in the last three decades. This is supported by the development of machine learning technology with the concept of deep learning. With so many research communities interested in further exploring these pattern recognition methods, newer corpus and pattern recognition datasets are needed and have their own challenges. Existing corpus and datasets often no longer offer new challenges or only have the characteristics of the usual pattern recognition features that are often found in the problems they propose. The problem of pattern recognition in the field of computer vision finally shifted to problems with new challenges in the form of special art and cultural objects. Apart from visual characteristics, these cultural objects do have certain characteristics, the need for a pattern recognition system for these cultural objects is real. Especially when these cultural objects become one of the assets of the tourism industry. This paper provides a comprehensive explanation of the potential of several Balinese cultural objects that have been used in image recognition research. In addition to contributing to the formation of new corpus and datasets in the domain of computer vision and machine learning, the research for Balinese cultural objects also provides added value in terms of cultural and tourism industry.

Keywords: pattern recognition system, Balinese cultural object, corpus, dataset, informatics education

Topic: Optimization Research Based on Local Resources