Automatic Recognition of Peruvian Car License Plates

Sebastian Escalante; Victor Murray

doi:10.1109/INTERCON50315.2020.9220217

Automatic Recognition of Peruvian Car License Plates

Sebastian Escalante
, Victor Murray

University of Engineering and Technology UTEC
The University of New Mexico
Harvard University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Some of the applications of automatic license plate recognition algorithms are security, tracking, and toll collection. However, due to the lack of regulations on Peruvian car license plates, developing a robust system to detect them represents a challenge. The problem is not only related to different rules based on vehicle types or rule year inconsistencies but also that many vehicles on the road have degraded license plates or thick protectors that hinder the character recognition process. In this manuscript, we present an optimized method based on the k-nearest neighbors (k-NN) classification method, which is compared with regular k-NN and multiclass support vector machines to recognize Peruvian car license plates, with accuracy results bigger than 96% for the optimized k-NN method.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193779
DOIs	https://doi.org/10.1109/INTERCON50315.2020.9220217
State	Published - Sep 2020
Externally published	Yes
Event	27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 - Virtual, Lima, Peru Duration: 3 Sep 2020 → 5 Sep 2020

Publication series

Name	Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

Conference

Conference	27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Country/Territory	Peru
City	Virtual, Lima
Period	3/09/20 → 5/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Automatic license plate recognitio
k-nearest neighbor

Access to Document

10.1109/INTERCON50315.2020.9220217

Cite this

Escalante, S., & Murray, V. (2020). Automatic Recognition of Peruvian Car License Plates. In Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 Article 9220217 (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON50315.2020.9220217

Escalante, Sebastian ; Murray, Victor. / Automatic Recognition of Peruvian Car License Plates. Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020).

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title = "Automatic Recognition of Peruvian Car License Plates",

abstract = "Some of the applications of automatic license plate recognition algorithms are security, tracking, and toll collection. However, due to the lack of regulations on Peruvian car license plates, developing a robust system to detect them represents a challenge. The problem is not only related to different rules based on vehicle types or rule year inconsistencies but also that many vehicles on the road have degraded license plates or thick protectors that hinder the character recognition process. In this manuscript, we present an optimized method based on the k-nearest neighbors (k-NN) classification method, which is compared with regular k-NN and multiclass support vector machines to recognize Peruvian car license plates, with accuracy results bigger than 96\% for the optimized k-NN method.",

keywords = "Automatic license plate recognitio, k-nearest neighbor",

author = "Sebastian Escalante and Victor Murray",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 ; Conference date: 03-09-2020 Through 05-09-2020",

year = "2020",

month = sep,

doi = "10.1109/INTERCON50315.2020.9220217",

language = "English",

series = "Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020",

}

Escalante, S & Murray, V 2020, Automatic Recognition of Peruvian Car License Plates. in Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020., 9220217, Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020, Institute of Electrical and Electronics Engineers Inc., 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020, Virtual, Lima, Peru, 3/09/20. https://doi.org/10.1109/INTERCON50315.2020.9220217

Automatic Recognition of Peruvian Car License Plates. / Escalante, Sebastian; Murray, Victor.
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9220217 (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automatic Recognition of Peruvian Car License Plates

AU - Escalante, Sebastian

AU - Murray, Victor

PY - 2020/9

Y1 - 2020/9

N2 - Some of the applications of automatic license plate recognition algorithms are security, tracking, and toll collection. However, due to the lack of regulations on Peruvian car license plates, developing a robust system to detect them represents a challenge. The problem is not only related to different rules based on vehicle types or rule year inconsistencies but also that many vehicles on the road have degraded license plates or thick protectors that hinder the character recognition process. In this manuscript, we present an optimized method based on the k-nearest neighbors (k-NN) classification method, which is compared with regular k-NN and multiclass support vector machines to recognize Peruvian car license plates, with accuracy results bigger than 96% for the optimized k-NN method.

AB - Some of the applications of automatic license plate recognition algorithms are security, tracking, and toll collection. However, due to the lack of regulations on Peruvian car license plates, developing a robust system to detect them represents a challenge. The problem is not only related to different rules based on vehicle types or rule year inconsistencies but also that many vehicles on the road have degraded license plates or thick protectors that hinder the character recognition process. In this manuscript, we present an optimized method based on the k-nearest neighbors (k-NN) classification method, which is compared with regular k-NN and multiclass support vector machines to recognize Peruvian car license plates, with accuracy results bigger than 96% for the optimized k-NN method.

KW - Automatic license plate recognitio

KW - k-nearest neighbor

UR - https://www.scopus.com/pages/publications/85095422420

U2 - 10.1109/INTERCON50315.2020.9220217

DO - 10.1109/INTERCON50315.2020.9220217

M3 - Conference contribution

AN - SCOPUS:85095422420

T3 - Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

BT - Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

Y2 - 3 September 2020 through 5 September 2020

ER -

Escalante S, Murray V. Automatic Recognition of Peruvian Car License Plates. In Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9220217. (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020). doi: 10.1109/INTERCON50315.2020.9220217

Automatic Recognition of Peruvian Car License Plates

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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