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Digit Classification of Majapahit Relic Inscription using GLCM-SVM
Knowledge Engineering and Data Science
A higher level of image processing usually contains some kind of classification or recognition. Digit classification is an important subfield in handwritten recognition. Handwritten digits are characterized by large variations so template matching, in general, is inefficient and low in accuracy. In this paper, we propose the classification of the digit of the year of a relic inscription in the Kingdom of Majapahit using Support Vector Machine (SVM). This method is able to cope with very largedoi:10.17977/um018v1i22018p46-54 fatcat:jxaxij7c4nfuvkf34vz7maut4i