Knowledge Distillation for Automatic Receipt Identification in Jakarta Super App Platform

Khamzul Rifki, Irfan Dwiki Bhaswara, Andi Sulasikin, Bahrul Ilmi Nasution, Yudhistira Nugraha, Juan Intan Kanggrawan, Muhammad Erza Aminanto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Computer vision research has been used in daily applications, such as art, social media app filter, and face recognition. This emergence is because of the usage of the deep learning method in the computer vision domain. Deep learning research has improved many qualities of services for various applications. Starting from recommended until detection systems are now relying on deep learning models. However, currently many models require high computational processing and storage space. Implementing such an extensive network with limited resources on an embedded device or smartphone becomes more challenging. In this study, we focus on developing a model with small computational resources with high accuracy using the knowledge distillation method. We evaluate our model on the public and private datasets of receipt and non-receipt images that we gathered from Badan Pendapatan Daerah, CORD, and Kaggle dataset. After that, we compare it with the regular convolutional neural network (CNN) and pre-trained model. We discovered that knowledge distillation only uses 12% and 5% of the total weight of the CNN and the pre-trained model, respectively. As a result, we see a possibility that knowledge distillation illustrates potential outcomes as a method that could implement for automatic receipt identification in the Jakarta Super App.

Original languageEnglish
Title of host publicationICITEE 2022 - Proceedings of the 14th International Conference on Information Technology and Electrical Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-222
Number of pages6
ISBN (Electronic)9781665460774
DOIs
Publication statusPublished - 2022
Event14th International Conference on Information Technology and Electrical Engineering, ICITEE 2022 - Yogyakarta, Indonesia
Duration: 18 Oct 202219 Oct 2022

Publication series

NameICITEE 2022 - Proceedings of the 14th International Conference on Information Technology and Electrical Engineering

Conference

Conference14th International Conference on Information Technology and Electrical Engineering, ICITEE 2022
Country/TerritoryIndonesia
CityYogyakarta
Period18/10/2219/10/22

Keywords

  • Computer Vision
  • Convolutional Neural Network
  • Deep Learning
  • Knowledge Distillation
  • Transfer Learning

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