Moth-Flame Optimization Algorithm for Indian Vehicle License Plate Characters Extraction and Recognition with Deep learning
Author(s):
Ravindra. P. Shelkikar, S. M. Jagade
Keywords:
deep learning, artificial neural network, License plate extraction and recognition (LPER)
Abstract
License Plate Extraction and Recognition (LPER) finds numerous applications in intelligent transport systems. The LPR process comprises three primary steps: License Plate (LP) Extraction, segmentation, and classification. Each step requires specific techniques tailored to real-world conditions, each possessing unique characteristics. The LP extraction techniques identify the license plate, followed by segmentation algorithms that separate and isolate individual characters. Lastly, the classification step is employed to recognize the segmented characters. The overall accuracy of the process is reliant on the accuracy achieved at each step. To enhance the performance of the classification step, we propose a combined approach, integrating segmentation and classification into a single-stage process using deep learning techniques such as hybridization of Mothfly and Black Widow Optimization (HM-BWO) with Alexnet. Our experimental results demonstrate that this approach achieves a remarkable accuracy of 97.2% in recognizing Indian license plate characters, surpassing previous works.
Article Details
Unique Paper ID: 161401

Publication Volume & Issue: Volume 10, Issue 3

Page(s): 587 - 593
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers