Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards
This research 0aims to design a Real-time ID card detection based on Optical Character Recognition (OCR). OCR detects and records information into CSV files using a camera. Hopefully, it can become one of the administrative solutions in Indonesia by using existing identity cards using OCR in real ti...
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| Format: | Article |
| Language: | English |
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Universitas Islam Negeri Raden Intan Lampung
2022-06-01
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| Series: | International Journal of Electronics and Communications System |
| Subjects: | |
| Online Access: | https://ejournal.radenintan.ac.id/index.php/IJECS/article/view/13108 |
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| _version_ | 1850184796389507072 |
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| author | Rodzan Iskandar Mezan El Khaeri Kesuma |
| author_facet | Rodzan Iskandar Mezan El Khaeri Kesuma |
| author_sort | Rodzan Iskandar |
| collection | DOAJ |
| description | This research 0aims to design a Real-time ID card detection based on Optical Character Recognition (OCR). OCR detects and records information into CSV files using a camera. Hopefully, it can become one of the administrative solutions in Indonesia by using existing identity cards using OCR in real time. This research method was carried out independently in August 2021 using ID cards as objects. The tool involved was a 320x320 pixel webcam camera on an HP Intel Core i5 7th Gen notebook. The software used by Easy OCR was Pytorch-based. ID cards were detected using an algorithm by TensorFlow object detection with SSD MobileNet V2 FPNLite 320x320 as the pre-trained model of Tensorflow. The researchers collected ID card images using a webcam with various light conditions and orientations and label them using labeling. The researchers trained it with only 20 photos. After 3000 training steps, the researchers obtained about 0.17 loss and 0.95. Thus, the ID card detection tool using OCR runs well. |
| format | Article |
| id | doaj-art-05fbc78d957a411d9df4b25438f97c8a |
| institution | OA Journals |
| issn | 2798-2610 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | Universitas Islam Negeri Raden Intan Lampung |
| record_format | Article |
| series | International Journal of Electronics and Communications System |
| spelling | doaj-art-05fbc78d957a411d9df4b25438f97c8a2025-08-20T02:16:56ZengUniversitas Islam Negeri Raden Intan LampungInternational Journal of Electronics and Communications System2798-26102022-06-0121232910.24042/ijecs.v2i1.131084995Designing a Real-Time-Based Optical Character Recognition to Detect ID CardsRodzan Iskandar0Mezan El Khaeri Kesuma1Intitut Teknologi dan Bisnis Diniyyah LampungUIN Raden Intan LampungThis research 0aims to design a Real-time ID card detection based on Optical Character Recognition (OCR). OCR detects and records information into CSV files using a camera. Hopefully, it can become one of the administrative solutions in Indonesia by using existing identity cards using OCR in real time. This research method was carried out independently in August 2021 using ID cards as objects. The tool involved was a 320x320 pixel webcam camera on an HP Intel Core i5 7th Gen notebook. The software used by Easy OCR was Pytorch-based. ID cards were detected using an algorithm by TensorFlow object detection with SSD MobileNet V2 FPNLite 320x320 as the pre-trained model of Tensorflow. The researchers collected ID card images using a webcam with various light conditions and orientations and label them using labeling. The researchers trained it with only 20 photos. After 3000 training steps, the researchers obtained about 0.17 loss and 0.95. Thus, the ID card detection tool using OCR runs well.https://ejournal.radenintan.ac.id/index.php/IJECS/article/view/13108detectionid cardoptical character recognitionrealtime |
| spellingShingle | Rodzan Iskandar Mezan El Khaeri Kesuma Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards International Journal of Electronics and Communications System detection id card optical character recognition realtime |
| title | Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards |
| title_full | Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards |
| title_fullStr | Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards |
| title_full_unstemmed | Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards |
| title_short | Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards |
| title_sort | designing a real time based optical character recognition to detect id cards |
| topic | detection id card optical character recognition realtime |
| url | https://ejournal.radenintan.ac.id/index.php/IJECS/article/view/13108 |
| work_keys_str_mv | AT rodzaniskandar designingarealtimebasedopticalcharacterrecognitiontodetectidcards AT mezanelkhaerikesuma designingarealtimebasedopticalcharacterrecognitiontodetectidcards |