TY - JOUR TI - Implementation of Verification and Matching E-KTP with Faster R-CNN and ORB AU - Muhammad Muttabi Hudaya; Siti Saadah; Hendy Irawan IS - Vol 5 No 4 (2021): Agustus 2021 PB - Ikatan Ahli Informatika Indonesia (IAII) JO - Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) PY - 2021 SP - 783 EP - 793 UR - https://jurnal.iaii.or.id/index.php/RESTI/article/view/3175/466 AB - needs a solid validation that has verification and matching uploaded images. To solve this problem, this paper implementing a detection model using Faster R-CNN and a matching method using ORB (Oriented FAST and Rotated BRIEF) and KNN-BFM (K-Nearest Neighbor Brute Force Matcher). The goal of the implementations is to reach both an 80% mark of accuracy and prove matching using ORB only can be a replaced OCR technique. The implementation accuracy results in the detection model reach mAP (Mean Average Precision) of 94%. But, the matching process only achieves an accuracy of 43,46%. The matching process using only image feature matching underperforms the previous OCR technique but improves processing time from 4510ms to 60m). Image matching accuracy has proven to increase by using a high-quality dan high quantity dataset, extracting features on the important area of EKTP card images.