Hybrid Method and Similarity to Recognize Javanese Keris

this paper describes Hybrid method and Similarity for recoginizing Javanese Keris. Javanese Keris is one of traditional javanese weapon. It is one of the Indonesia Cultural Heritage. Keris is famous for its distinctive wavy blade. But some of the keris has straight blades. There are many kinds of Keris and every Keris has its own unique pattern. The algorithm to recognize several types of Javanese Keris is made by using Edge Detection method with Image Segmentation and combine with Similarity. By using these three methods, it will bring more exact result. The method combines Canny Algorithm and Basic Morphological for image segmentation. The result of edge detection and image segmentation are compared with the sample pictures using similarity. Ten (10) images of traditional javanese keris are being used as samples. The final result for this study is recognizing the kind of keris. These techniques is carried out with an experiment by using MATLAB 6.0.1 software.

@article{Santoso2015,
  title     = {Hybrid Method and Similarity to Recognize Javanese Keris},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {9},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Halim Budi Santoso and Ryan Peterzon Hadjon},
  doi       = {10.14569/IJACSA.2015.060914},
  url       = {https://doi.org/10.14569/IJACSA.2015.060914}
}