Algoritme Jurnal Mahasiswa Teknik Informatika
Vol 1 No 1 (2020): Jurnal Algoritme

Implementation of Convolutional Neural Network Method Using LeNet-5 Architecture for Doodle Recognition

Muhammad Rafly Alwanda (STMIK Global Informatika MDP)
Raden Putra Kurniawan Ramadhan (STMIK Global Informatika MDP)
Derry Alamsyah (STMIK GI MDP)

Article Info

Publish Date
10 Oct 2020


Recognition of objects to date has been widely applied in various fields, for example in handwritten recognition. This research utilizes the ability of CNN to use LeNet-5 architecture for the introduction of doodle types with 5 object images, namely clothes, pants, chairs, butterflies and bicycles. Each doodle object consists of 30 images with a total dataset of 150 images. The test results show that the first, second and fourth scenarios of bicycle objects are more recognized with an accuracy value of 93% - 98%, recall 86% - 93% and precision 81% - 93%, clothes objects are more recognized in the third scenario with an accuracy value of 94%, 86% recall, and 83% precision.

Copyrights © 2020

Journal Info





Computer Science & IT


Jurnal Algoritme menjadi sarana publikasi artikel hasil temuan Penelitian orisinal atau artikel analisis. Bahasa yang digunakan jurnal adalah bahasa Inggris atau bahasa Indonesia. Ruang lingkup tulisan harus relevan dengan disiplin ilmu seperti: - Machine Learning - Computer Vision, - Artificial ...