ملف الباحث

Eko Hari Rachmawanto

ورقتان في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Classification of Skin Diseases Types using Naïve Bayes Classifier based on Local Binary Pattern Features

    2020 · 2020 International Seminar on Application for Technology of Information and Communication (iSemantic)

    This study aims to analyze the Naïve Bayes classifier (NBC) method and feature extraction of Local Binary Pattern (LBP) for the classification of skin diseases. NBC was chosen because it is reliable for small datasets. …

  2. An Improved Handwritten Javanese Script Recognition using Adaptive Threshold and Multi-Feature Extraction

    2022

    Image quality greatly affects the object recognition process in the image. If the image quality is not good, the recognition process becomes more difficult. Preprocessing, feature extraction, and classifier are the most important parts of …