EnhanceLPR

Authors

  • Mohd Basit Mohinuddin1 A.P, Department of ECE, Bhoj Reddy Engineering College for Women, India. Author

Abstract

EnhanceLPR is an innovative web application
designed to streamline and automate the complex
process of vehicle license plate recognition from
static images, addressing the common challenges
of poor image quality and manual data entry. Users
can effortlessly upload images of vehicles, after
which the system initiates an intelligent, multistage
AI pipeline. This pipeline, meticulously
orchestrated by Genkit and powered by Google's
versatile Gemini models, performs a
comprehensive analysis: it begins by accurately
detecting and isolating license plate regions, even
from angled perspectives. Crucially, it then
assesses the clarity of the cropped plate and, if
necessary, employs an AI-driven enhancement
process to improve readability, a vital step for
handling blurry or low-resolution captures.
Subsequently, advanced Optical Character
Recognition (OCR) is performed to extract
alphanumeric characters from the (potentially
enhanced) plate. The final stage involves
validating this extracted text against standard
Indian license plate formatting rules, providing
immediate feedback on compliance. The
application is built with a modern tech stack
featuring Next.js and React for a dynamic and
responsive user experience, further refined with
ShadCN UI components and Tailwind CSS for a
polished and intuitive interface. EnhanceLPR
delivers clear visual feedback throughout each
stage of the analysis, offering a robust and practical
tool for efficient license plate data extraction and
initial verification, beneficial for scenarios
requiring quick processing of vehicle
identification from images.

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Published

2025-06-21

Issue

Section

Articles

How to Cite

EnhanceLPR. (2025). International Journal of Engineering and Science Research, 15(3s), 839-847. https://www.ijesr.org/index.php/ijesr/article/view/248

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