Proposal for a system of recognition of Salvadoran plaques for the University of El Salvador

Authors

DOI:

https://doi.org/10.5281/zenodo.8339361

Keywords:

plaque, alpr, ocr, El Salvador

Abstract

Introduction: This paper provides a proposal for a Salvadoran license plate recognition system for the University of El Salvador. To arrive at this proposal, candidates based on free software were sought in the most popular software repositories on the Internet. Objective: to propose a Salvadoran license plate recognition system for the University of El Salvador. Method: experimental, which allowed obtaining data for processing and the results could be comparable, candidates based on free software were searched for in the most popular software repositories on the Internet. The selected candidates were OpenALPR and the combination of YOLOv5 with PaddleOCR, and they were installed in a test environment. Then a set of images of Salvadoran plates was created to train and compare the models. The inferences of each candidate were obtained for each image in the set, as well as the hits, time used and certainty. From this information, the candidates were compared with each other. Result: in each element of comparison, the candidate with the best performance was the combination of YOLOv5 with PaddleOCR, becoming the proposed recognition system for Salvadoran license plates for the University of El Salvador.

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References

Abidin, M. Z., & Pulungan, R. (2020). A systematic review of machine-vision-based smart parking systems. Scientific Journal of Informatics, 7 (2), 213–227.

Al-Qudah, R., & Suen, C. (2019). Impact of font on computer recognition of license plates on automobiles. *ICVISP 2019: Proceedings of the 3rd International Conference on Vision, Image and Signal Processing*, 1–6. https://doi.org/10.1145/3387168.3389112

Arias Gonzales, J. L., & Covinos Gallardo, M. (2021). *Técnicas e instrumentos de investigación científica: Para ciencias administrativas, aplicadas, artísticas, humanas* (1.ª ed.). Enfoques Consulting E.I.R.L. https://repositorio.concytec.gob.pe/bitstream/20.500.12390/2238/1/AriasGonzales_TecnicasEInstrumentosDeInvestigacion_libro.pdf

Baidu. (2020). *PaddleOCR: PaddlePaddle—Parallel Distributed Deep Learning, efficient and extensible deep learning framework*. https://www.paddlepaddle.org.cn/en

Barriga, J. J., Sulca, J., León, J. L., Ulloa, A., Portero, D., Andrade, R., & Yoo, S. G. (2019). Smart parking: A literature review from the technological perspective. *Applied Sciences, 9*(21), 4569. https://doi.org/10.3390/app9214569

Bermúdez, E. X. (2020, junio 30). Análisis de costo total de propiedad (TCO) en un proyecto/inversión TI para el modelo tradicional y su comparación con la implementación en nube pública (IAAS) para las empresas ecuatorianas. *Revista Tecnológica - ESPOL, 32*(1), 8. https://doi.org/10.37815/rte.v32n1.689

Campos, A. M. (2022). Transformación digital de la UES avanzará en un 65 por ciento este año. *Universidad de El Salvador*. https://www.ues.edu.sv/blog/post/transformacion-digital-de-la-ues-avanzara-en-un-65-por-ciento-este-ano

Federal Bureau of Investigation. (2018). *FBI crime in the United States 2018: Table 9*. https://ucr.fbi.gov/crime-in-the-u.s/2018/crime-in-the-u.s.-2018/tables/table-9/table-9.xls/view

IBM. (2022). *What is computer vision?* https://www.ibm.com/topics/computer-vision

Jocher, G. (2020). *ultralytics/yolov5: YOLOv5 in PyTorch > ONNX > CoreML > TFLite*. GitHub. https://github.com/ultralytics/yolov5

Koteluk, O., Wartecki, A., Mazurek, S., Kołodziejczak, I., & Mackiewicz, A. (2021). How do machines learn? Artificial intelligence as a new era in medicine. *Journal of Personalized Medicine, 11*(1), 32. https://doi.org/10.3390/jpm11010032

Ley de Acceso a la Información Pública [Decreto 534 de 2010]. (2011, 8 de abril). *Diario Oficial*, núm. 70, tomo 391.

Lubna, N. M., & Syed, A. A. (2021). Automatic number plate recognition: A detailed survey of relevant algorithms. *Sensors, 21*(9), 3028. https://doi.org/10.3390/s21093028

Mendoza, C., & Zapeta, S. (2019). *Informe sobre la violencia homicida en El Salvador*. Diálogos. https://dialogos.org.gt/wp-content/uploads/2020/02/Informe-sobre-la-violencia-homicida-en-El-Salvador-al-31-dic-2019.pdf

Mokrzycki, W., & Samko, M. (2012). Canny edge detection algorithm modification. En *Computer Vision and Graphics* (pp. 533–540). https://doi.org/10.1007/978-3-642-33564-8_64

OpenCV. (2022). *Contour features*. https://docs.opencv.org/4.x/dc/dcf/tutorial_js_contour_features.html

Pita Fernández, S., & Pértegas Díaz, S. (2002). Investigación cuantitativa y cualitativa. *Cad Aten Primaria, 9*(1), 76–78.

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You only look once: Unified, real-time object detection. En *Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition* (pp. 779–788). https://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Redmon_You_Only_Look_CVPR_2016_paper.html

Rekor. (2020). *openalpr/openalpr: Automatic license plate recognition library*. GitHub. https://github.com/openalpr/openalpr

Secretaría General Universitaria. (2012). *Acuerdo N.º 74/2011-2013*. Asamblea General Universitaria, Universidad de El Salvador. http://secretariageneral.ues.edu.sv/index.php?option=com_phocadownload&view=category&id=1:leyes&download=29:vehicular&Itemid=1

Shashirangana, J., Padmasiri, H., Meedeniya, D., & Perera, C. (2021). Automated license plate recognition: A survey on methods and techniques. *IEEE Access, 9*, 11203–11225. https://doi.org/10.1109/ACCESS.2020.3047929

Smith, R. (2007). An overview of the Tesseract OCR engine. En *Ninth International Conference on Document Analysis and Recognition* (pp. 629–633). https://doi.org/10.1109/ICDAR.2007.4376991

Stratton, S. J. (2021). Population research: Convenience sampling strategies. *Prehospital and Disaster Medicine, 36*(4), 373–374. https://doi.org/10.1017/S1049023X21000649

Thorat, C., Bhat, A., Padmaja, S., Bartakke, I., & Shirsath, S. (2022). A detailed review on text extraction using optical character recognition. En *ICT Analysis and Applications* (Vol. 314, pp. 719–728). https://doi.org/10.1007/978-981-16-5655-2_69

Unidad de Acceso a la Información Pública, Universidad de El Salvador. (2019). *Asignación Ley de Salarios: UAIP–UES*. https://uaip.ues.edu.sv/repositorio/MARCO%20PRESUPUESTARIO/9.%20REMUNERACIONES/2019/LEY%20DE%20SALARIOS%20UES%202019.pdf

Unidad de Transparencia. (s. f.). *Portal de Transparencia: Datos DAV y OLAV de enero-julio 2017*. https://www.transparencia.gob.sv/institutions/mjsp/documents/209526/download

Universidad de El Salvador. (2019). *Estudiantes inscritos global*. Secretaría de Asuntos Académicos. https://saa.ues.edu.sv/nosotros/estadistica/academica/completo

Published

2023-09-25 — Updated on 2026-08-12

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How to Cite

Proposal for a system of recognition of Salvadoran plaques for the University of El Salvador. (2026). Revista Multidisciplinaria De Investigación , 2(1), 117-128. https://doi.org/10.5281/zenodo.8339361 (Original work published 2023)