Abstract
In this modern age, the impact of globalization is increasingly entering and expanding into most societies. One impact of globalization makes people prefer to learn the language and use a foreign language rather than the local language, especially the Java language. It is very influential on the knowledge of the community about the existence or the existence of Javanese Letter, especially in the field of education. In this study, In this research will be made an application to recognize the writing of Javanese Letter based on Optical Character Recognition (OCR). Matching templates correlation can be used as pattern recognition methods. How the Template Matching Algorithm works by matching the template image with the test image after going through the Pre-processing and segmentation process. From the research that has been done by using 10 character template and 20 data testing get accuracy equal to 93.44% and error rate 6.56%. So the Matching Template Algorithm can well recognize the Javanese Letter pattern.
Highlights
Javanese Letter is one of the cultural heritage that must be preserved because it is almost extinct
Western culture into Indonesia is caused by several things, one of which is the crisis of globalization
The western culture that goes into Indonesia is growing very fast
Summary
Javanese Letter is one of the cultural heritage that must be preserved because it is almost extinct. One impact of globalization and the introduction of foreign culture makes people prefer to learn and use English rather than Javanese. Further research by Zaky Mukhoyyar about the introduction of Javanese Letter using K-Nearest Neighbor algorithm. By using the algorithm get 100% accuracy result [4] In addition to these algorithms, there are several algorithms that are used to perform Java pattern recognition such as Self Organizing Maps, Skew Detection, Backpropagation and Template Matching. From the comparison of algorithms, the Template Matching algorithm can cover the shortcomings of the K-Nearest Neighbor algorithm by producing a high degree of accuracy[5][6]. From several related research results about pattern recognition, this study aims to implement a template matching algorithm to perform pattern recognition. Matching can be a good result determining that the image is recognized by one of the template images
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