JOURNAL ARTICLE

Indonesian Traditional Shadow Puppet Image Classification: A Deep Learning Approach

Abstract

Puppet is one of Indonesian traditional art which is an art performance performed by a puppeteer. The puppets have their own features and character according to the puppet character. So one way to preserve it, we do research to recognize and classify the type of puppets. So with this can be known the types of puppet based on shades and shapes. With the differences of these characteristics, the writer made the classification of puppets by using Deep Learning method which is currently popular on computer vision. In this study we used Deep Convolutional Neural Network architecture such as AlexNet and VGG-16. By using our own dataset, we classify the types of puppets based on the puppet feature with the number of databases that we have after going through the data augmentation is 5130. The best result we made is using architecture VGG-16.

Keywords:
Computer science Convolutional neural network Character (mathematics) Architecture Artificial intelligence Shadow (psychology) Indonesian Deep learning Feature (linguistics) Contextual image classification Feature extraction Puppetry Image (mathematics) Pattern recognition (psychology) Visual arts Art

Metrics

6
Cited By
0.29
FWCI (Field Weighted Citation Impact)
19
Refs
0.57
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Human Pose and Action Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
© 2026 ScienceGate Book Chapters — All rights reserved.