Work

Suppression of Real Time Shadow for Efficient License Plate Recognition

Year: 2025

Type: conference-paper

Abstract: The presence of shadow in the License Plate (LP) results in disambiguation in edges, hides the actual registration number. Recognizing the LP information by suppressing sunlight shadow is a topic of research. Suppression of shadow artifact is a challenging task. Till now the VLPR schemes result in inability to recognize LP information due to occurrence of shadow. Till now this problem remains as a major problem to be solved by computer vision researchers. This paper provides a solution for suppressing the shadow that varies from morning till evening due to sunlight and improves the LPR in terms of accuracy. The proposed ‘Suppression of Shadow in Partially Occluded LP (SSPOLP) method performs the suppression of shadow using cepstrum approach based on Grassman Axiom integral method. It suppresses the shadow noise using cepstrum approach based on gamma correction method i.e. Grassman axiom integral method for shadow removal followed by LP detection using region props method. The overall recognition success rate for SSPOLP scheme is found to be 93.7% for online MNIST and MIT datasets.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2025.03.266

Authors: K.B. Sathya, V. Vaidehi, Ravi

Institutions: Vellore Institute of Technology University, Sathyabama Institute of Science and Technology

Language: English

Topic: Vehicle License Plate Recognition

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funder: Bharath Institute of Higher Education and Research

OpenAlex ID: W4410774522

FWCI: 3.548

Cites: 16

Cited by: 2

Related to: 10