Integration of OCR sensors for the prevention and investigation of crime
Keywords:
Optical Character Recognition, Automatic Licence Plate Recognition, Crime prevention and investigation, Public Security, System IntegrationAbstract
It is completely unthinkable that the free exercise of rights and freedoms as citizens within a society can be achieved outside of a security environment. Citizen security, therefore, is constituted as the backbone of the work of all Police Corps. The Guardia Civil, not in vain, allocates a large part of its human and material resources to achieve this goal.
The purpose of this work is none other than to provide a solution in which to put, once again, technology at the service of citizens, more specifically that of their security, so that from different angles provide solutions that complement the human potential of the Guardia Civil and consequently increase its effectiveness and efficiency.
The proposed system will deal with the use of different technologies to capture, transmission, storage and exploitation of vehicle license plate data for the generation of alerts. These alerts are intended to facilitate decision making and, therefore, achieve a direct impact on the optimization of police work regarding the prevention and investigation of crimes
Downloads
References
- Hongliang, B., & Changping, L. (2004). A hybrid license plate extraction method based on edge statistics and morphology. In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. (Vol. 2, pp. 831-834). IEEE.
- Sánchez, C., & Sandonís, V. (2015). Reconocimiento óptico de caracteres (OCR).
- Wang, S. Z., & Lee, H. J. (2003, October). Detection and recognition of license plate characters with different appearances. In Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems (Vol. 2, pp. 979-984). IEEE. doi:10.1109/ITSC.2003.1252632 Recuperado de https://www.monografias.com/trabajos108/filtros-y-convoluciones/filtros-y-convoluciones2.shtml
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 José Fernando Navacerrada Santiago
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
-
NonCommercial — You may not use the material for commercial purposes.
-
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.