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All Journal KUMARA CENDEKIA Information System Abdimas Mimbar Sekolah Dasar IJIE (Indonesian Journal of Informatics Education) JURNAL INDRIA (Jurnal Ilmiah Pendidikan Prasekolah dan Sekolah Awal) Jurnal ULTIMATICS Journal of Informatics and Vocational Education Journal of Marine-Earth Science and Technology Media of Computer Science
Yudianto Sujana
Universitas Sebelas Maret
Arts Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : media of computer science

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Preprocessing Image for License Plate Detection: A Systematic Literature Review Prasetyo, Riyan Bagas Dwi; Abdullayev, Vugar; Prakisya, Nurcahya Pradana Taufik; Sujana, Yudianto; Siswanto, Rahmat
Media of Computer Science Vol. 2 No. 2 (2025): December 2025
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v2i2.241

Abstract

Rapid population growth contributes to an increase in the volume of vehicles, creating major challenges in their management. One potential solution is the application of deep learning-based artificial intelligence technology for automatic detection of vehicle license plates. This research uses a Systematic Literature Review (SLR) approach to evaluate the performance of various deep learning architectures in the detection process. Out of 125 articles identified, 20 articles were selected based on specific selection criteria. The analysis revealed that preprocessing techniques, such as HE, AHE, ECHE, CLAHE, and ECLACHE, have significant contributions in the processing of vehicle license plate datasets. These techniques were able to improve the visual quality of the images, thus supporting the detection process with an accuracy rate of more than 95%. This research also identified challenges, such as high computational requirements and large-scale data processing. Further research is recommended to apply preprocessing on standardized datasets to develop a reliable, efficient and sustainable detection system.
Co-Authors A G Thamrin Abdullayev, Vugar Adriani Rahma Pudyaningtyas Agus Efendi Ahmad Sidiq Alifah, Nurul Lailani Alifia Nisa Nursanti Amalia Desy Puspitasari Amir Amir Aris Budianto, Aris Asih Mukharoh Basori Basori Denaro, Lino Garda Djaelani Djaelani Dwi Maryono Dwiantoro, Bagas Dyah Yuni Kurniawati Dyah Yuni Kurniawati, Dyah Yuni Elia Supriani Endang Sri Markamah Fatihul Ilmy, Hafsah Febri Liantoni Forry Stella Nasanjaya Hanung Tegar Pambudi Hartono Hartono Hertiana Yuni Kharismawati Hesti Wulandari Indah Rukmana Sari Indah Saptarini Iud Puspita Wijianingsih Joko Daryanto Karsono Karsono Karsono Karsono Kuswadi Kuswadi Lies Lestari Mahendra Lalita Mulyatno Maria Edel Frudis Aga Maryam Mar'atus Sholikah Maulana, Muhammad Ardan Mida Septi Karunia Muhammad Hassan Massaty, Muhammad Hassan Muhammad Munif Syamsuddin Muhammad Munif Syamsudin Murni Ramli Murni Ramli Nanda Muna Ayuni Ngadino Yustinus Ngadino Yustinus Novita Ambaryani Nur Hidayattur Rohmah, Nur Hidayattur Nurul Kusuma Dewi Peduk Rintayati Prakisya, Nurcahya Pradana Taufik Prasetyo, Riyan Bagas Dwi Puspanda Hatta Rengganis Nahar Kharisma Reni Dew Nur Isnaini Rika Novellidianingrum Roihanah Hardiyani Rosihan Ari Yuana, Rosihan Ari Ruli Hafidah Sahni Damerianta Purba. Skom. MM Samidi Samidi Saparida Rahmi Saputro, Andito Haryo Siswanto, Rahmat Siti Hitthotunnahdliyyah Al Badawi Siti Wahyuningsih Suciati *, Suciati Tarwanto, Rahmat Alvin Tegar Satriya Wiguna Tiara Ratnasari Tri Ulya Wardati Qariah Usada Usada Warananingtyas Palupi Warananingtyas Palupi Widiasih, Mutri Wihidayat, Endar Suprih