Hand Sign Recognition of Indonesian Sign Language System SIBI Using Inception V3 Image Embedding and Random Forest

This paper presents a sign language recognition system for the Indonesian Sign Language System SIBI using image embeddings combined with a Random Forest classifier. A dataset comprising 5280 images across 24 classes of SIBI alphabet symbols was utilized. Image features were extracted using the Incep...

Full description

Bibliographic Details

Published in:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Main Authors:	Mayang Sari, Eko Rudiawan Jamzuri
Format:	Article
Language:	English
Published:	Ikatan Ahli Informatika Indonesia 2025-03-01
Subjects:	hand sign recognition sibi inception v3 image embedding random forest
Online Access:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/6156