About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia

Research Article

Convolutional Neural Network as an Extractor Feature For Image Search

Download529 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2297409,
        author={Sandi Fajar Rodiyansyah and Ardi  Mardiana},
        title={Convolutional Neural Network as an Extractor Feature For Image Search},
        proceedings={Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia},
        publisher={EAI},
        proceedings_a={ICONISTECH-1},
        year={2020},
        month={11},
        keywords={deep learning; convolutional neural network; extractor feature; image search},
        doi={10.4108/eai.11-7-2019.2297409}
    }
    
  • Sandi Fajar Rodiyansyah
    Ardi Mardiana
    Year: 2020
    Convolutional Neural Network as an Extractor Feature For Image Search
    ICONISTECH-1
    EAI
    DOI: 10.4108/eai.11-7-2019.2297409
Sandi Fajar Rodiyansyah1,*, Ardi Mardiana1
  • 1: Universitas Majalengka, Majalengka, West Java, Indonesia
*Contact email: rodiyansyah@unma.ac.id

Abstract

The deep learning method that can be used for image search was a convolutional neural network but there were many parameters and design decisions that were difficult to determine. In this study, a convolutional neural network method was used as an extractor feature for image search. Optimal feature extraction was performed at the last second fully connected layer (FC2) and used cosine distance as a distance metric with a threshold of 0.4. Producing the accuracy of model classification on the test data was 87.72%.

Keywords
deep learning; convolutional neural network; extractor feature; image search
Published
2020-11-11
Publisher
EAI
http://dx.doi.org/10.4108/eai.11-7-2019.2297409
Copyright © 2019–2025 EAI
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL