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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Journal of Computing Theories and Applications
Adekunle, Temitope Samson
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Enhancing car plate recognition with convolutional neural network and regular expressions correction Awoseyi, Ayomikun Abayomi; Timothy, Timileyin Favour; Ajagbe, Sunday Adeola; Onuiri, Ernest Enyinnaya; Abdulahi, Qudus Opeyemi; Adekunle, Temitope Samson; Adigun, Matthew Olusegun
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp2073-2080

Abstract

This research paper presents the development and evaluation of an Automatic Number Plate Recognition (ANPR) system using Convolutional Neural Networks (CNN) with Regex correction. The aim is to enhance the accuracy and effectiveness of car verification and security processes at First Technical University, Ibadan. The ANPR system was implemented both without Regex correction and with Regex correction. The evaluation results demonstrate significant improvements in the system's performance when CNN with Regex correction is employed. The CNN-based ANPR system achieves a precision of 1.00, recall of 0.90, and F1-score of 0.95 in accurately identifying number plates. These scores indicate increased accuracy and reduce false positives compared to the system without Regex correction. The integration of CNN and Regex correction effectively handles variations and errors in the number plate data, leading to a reliable and efficient car verification process. Future work can focus on further refining the CNN model and optimizing the Regex correction algorithms to enhance the system's accuracy and robustness. The developed ANPR system, utilizing CNN with Regex correction, shows great potential for enhancing car verification and security in various domains, including law enforcement, parking management, and traffic monitoring
RETRACTED: The Use of AI to Analyze Social Media Attacks for Predictive Analytics Adekunle, Temitope Samson; Alabi, Oluwaseyi Omotayo; Lawrence, Morolake Oladayo; Ebong, Godwin Nse; Ajiboye, Grace Oluwamayowa; Bamisaye, Temitope Abiodun
Journal of Computing Theories and Applications Vol. 1 No. 4 (2024): JCTA 1(4) 2024
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.10120

Abstract

This article has been retracted at the request of the Editor-in-Chief. The journal was alerted to issues within this article, including significant overlap in content, methodology, and visual materials with another previously published article: "Social Engineering Attack Classifications on Social Media Using Deep Learning" (DOI: 10.32604/cmc.2023.032373) published in Computers, Materials & Continua in 2023. Upon thorough investigation, it was found that the article substantially reproduces ideas, methodologies, and figures from the original work without proper attribution, violating the ethical standards of the journal and academic publishing. The authors were contacted and asked to provide an explanation for these concerns. The corresponding author acknowledged the oversight and accepted responsibility for the duplication. Consequently, the authors formally requested the withdrawal of the paper. As per journal policy, the Editor-in-Chief has decided to retract the article due to a breach of publication ethics. The journal sincerely regrets that these issues were not detected during the manuscript screening and review process and apologizes to the authors of the original article, as well as to the readers of the journal. For more information on the journal’s ethical policies, please visit: Retraction Policy.
Co-Authors Abdulahi, Qudus Opeyemi Adigun, Matthew Olusegun Ajagbe, Sunday Adeola Ajiboye, Grace Oluwamayowa Alabi, Oluwaseyi Omotayo Awoseyi, Ayomikun Abayomi Bamisaye, Temitope Abiodun Ebong, Godwin Nse Lawrence, Morolake Oladayo Onuiri, Ernest Enyinnaya Timothy, Timileyin Favour