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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...

Deskribapen osoa

Gorde:
Egile Nagusiak: Mayang Sari, Eko Rudiawan Jamzuri
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Ikatan Ahli Informatika Indonesia 2025-03-01
Saila:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Gaiak:
hand sign recognition
sibi
inception v3
image embedding
random forest
Sarrera elektronikoa:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6156
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