Jurnal Komputer, Informasi dan Teknologi
Vol. 3 No. 1 (2023): Juni

Application Of The Template Matching Method In Orchid Image Classification In Bengkulu

Andrio, Andrio (Unknown)
Diana, Diana (Unknown)
Marhalim, Marhalim (Unknown)
Pahrizal, Pahrizal (Unknown)



Article Info

Publish Date
03 Jun 2023

Abstract

Bengkulu is one of the provinces in Indonesia, precisely located in the western part of Indonesia, namely on the island of Sumatra. Bengkulu has a wide variety of beautiful flowers, including orchids which are unique to Bengkulu. Bengkulu orchids are included as rare and endangered flowers, and the lack of public knowledge of the shape and characteristics of these flowers makes the author decide to create a system that can identify the type of orchid. In classifying the image texture, it can be done using the template matching method. The template matching method is a simple method used to identify patterns in an image. The template matching method is often used to identify character images of letters, numbers, fingerprints and other matching applications. In this study, we propose the use of a template matching algorithm to classify orchid images based on species and family. The test results use 30 test image data. The minimum correlation value with the correct label on the orchid image is 0.7967 and the classification image is 0.7899. From the experimental results it can be concluded that the template matching algorithm is quite good in orchid image classification as evidenced by a test accuracy of 76 percent.

Copyrights © 2023






Journal Info

Abbrev

KOMITEK

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

KOMITEK Journal (Computer, Information and Technology) journal was founded in 2021. It is an interesting and useful national journal for all parties with an interest in research in various fields of, or closely related to, the disciplines of Computer, Information and Technology. KOMITEK Journal aims ...