Object Identification Based on the Analytical Method of Processing Multispectral Images

This paper presents the results of identification of a license plate at daytime and dusk. We introduce the novel technique for processing multispectral images within geoinformation systems utilizing the advanced spectral analysis. This innovative method significantly enhances the accuracy of license plate recognition across varying lighting conditions. Comparison of the laboratory and field experiments has been carried out to validate our approach. Research indicates that utilizing multi-band data effectively aids in uncovering significant features that are often overlooked when processing standard RGB images. Overall, this technique has the potential to greatly enhance the performance of video surveillance systems, contribute to improving road safety, prevent potential infractions, and significantly improve traffic management efficiency.

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icct62929.2024.10875013
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.21
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Object Identification Based on the Analytical Method of Processing Multispectral Images

K. A. Vytovtov, Arina Novochadova
1 citations
Advanced Measurement and Detection Methods
0.21
article

Object Identification Based on the Analytical Method of Processing Multispectral Images

K. A. Vytovtov, Arina Novochadova
article en
1 citations

Abstract

This paper presents the results of identification of a license plate at daytime and dusk. We introduce the novel technique for processing multispectral images within geoinformation systems utilizing the advanced spectral analysis. This innovative method significantly enhances the accuracy of license plate recognition across varying lighting conditions. Comparison of the laboratory and field experiments has been carried out to validate our approach. Research indicates that utilizing multi-band data effectively aids in uncovering significant features that are often overlooked when processing standard RGB images. Overall, this technique has the potential to greatly enhance the performance of video surveillance systems, contribute to improving road safety, prevent potential infractions, and significantly improve traffic management efficiency.

V. A. Trapeznikov Institute of Control Sciences (RU)
Openalex Percentile: Top 44%
Advanced Measurement and Detection Methods
0.21
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