Jurnal Nasional Teknik Industri, Sistem Informasi dan Teknik Informatika
Vol. 2 No. 1 (2023): Jurnal Tinsika

FRUIT TYPES RECOGNITION USING HYBRID-CLASSIFIER WITH PRINCIPAL COMPONENT ANALYSIS (PCA)

Sugeng Hendra Wijaya (Unknown)

Article Info

Publish Date
15 Jul 2023

Abstract

– Fruit recognition was done in this research specifically for fruit image. The recognition of fruit in this study can be implemented to know the number of fruits that exist. Fruit image trained into several labels (fruit types) that are classified by data testing. There are several processes and methods undertaken in this research until the classification process, one of this i.e. Gaussian filter to improve the quality of fruit image recognition. Furthermore, the feature extraction process uses Gabor filter and for feature selection, PCA technic is respectively used to select some of the best features. The selected feature will be classified using deep neural network and k-nearest neighbor (k-NN) method. Moreover, the results of the processes done carried out in achieving an accuracy of 95.01%.

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Journal Info
Jurnal Nasional Teknik Industri, Sistem Informasi dan Teknik Informatika
Website

Abbrev

jurnal_tinsika

Publisher

Universitas Bakti Indonesia

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Description

Jurnal TINSIKA provides a forum for publishing the original research articles from contributors related to embedded system and control, processor and IC design, network and infrastructure, and computing algorithms. The scope ofTINSIKA is as follows: embedded system based on ...