Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 5: EECSI 2018

Indonesian ID Card Recognition using Convolutional Neural Networks

M. Octaviano Pratama (PT Premier Optima Sattiga)
Wira Satyawan (PT Premier Optima Sattiga)
Bagus Fajar (PT Premier Optima Sattiga)
Rusnandi Fikri (PT Premier Optima Sattiga)
Haris Hamzah (PT Premier Optima Sattiga)

Article Info

Publish Date
18 Sep 2019

Abstract

Indonesian ID Card can be used to recognize citizen of Indonesia identity in several requirements like for sales and purchasing recording, admission and other transaction processing systems (TPS). Current TPS system used citizen ID Card by entering the data manually that means time consuming, prone to error and not efficient. In this research, we propose a model of citizen id card detection using state-of-the-art Deep Learning models: Convolutional Neural Networks (CNN). The result, we can obtain possitive accuracy citizen id card recognition using deep learning. We also compare the result of CNN with traditional computer vision techniques.

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Journal Info
Proceeding of the Electrical Engineering Computer Science and Informatics
Website

Abbrev

EECSI

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...