Analisis Perbandingan Optical Character Recognition Google Vision dengan Microsoft Computer Vision pada Pembacaan KTP-el

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Published: Oct 1, 2023
DOI: https://doi.org/10.35870/jtik.v7i4.1046
Keywords:
OCR, Identity Card, Google Vision API, Microsoft Computer Vision
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Jonathan Valentino
Universitas Kristen Satya Wacana
Yeremia Alfa Susetyo
Universitas Kristen Satya Wacana

Abstract

In this era, the need of digital data is rapidly increasing. Electronic Residental Identity Card or KTP-el is the official identity card for resident of Indonesia. One fast way to extract information on an image is by using OCR/Optical Character Recognition. Competition between Google Vision API and Microsoft Computer Vision in providing OCR service encourage companies to choose the right provider. Method conducted in this research including literature review on both OCR service provider, identification and KTP-el sample image retrieval, data grouping, code implementation and accuracy testing, result analysis and discussion, and conclusion. The result of this research show that Microsoft Computer Vision have better accuracy in reading characters in KTP-el with an accuracy percentage of 0,81% to 15,8% difference to Google Vision. Google Vision has competitive accuracy, but suffers from deficiencies when reading KTP-el with blur and noise.

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How to Cite
Valentino, J., & Susetyo, Y. A. (2023). Analisis Perbandingan Optical Character Recognition Google Vision dengan Microsoft Computer Vision pada Pembacaan KTP-el. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 7(4), 552–561. https://doi.org/10.35870/jtik.v7i4.1046
Issue
Vol. 7 No. 4 (2023): OCTOBER-DECEMBER 2023
Section
Computer & Communication Science
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Author Biographies

Jonathan Valentino, Universitas Kristen Satya Wacana

Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia

Yeremia Alfa Susetyo, Universitas Kristen Satya Wacana

Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana, Kota Salatiga, Provinsi Jawa Tengah, Indonesia

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