Advanced Vehicle Detection and License Plate Recognition via the Kanade-Lucas-Tomasi Technique
Journal Title: Mechatronics and Intelligent Transportation Systems - Year 2023, Vol 2, Issue 4
Abstract
The optimization of traffic flow, enhancement of safety measures, and minimization of emissions in intelligent transportation systems (ITS) pivotally depend on the Vehicle License Plate Recognition (VLPR) technology. Challenges predominantly arise in the precise localization and accurate identification of license plates, which are critical for the applicability of VLPR across various domains, including law enforcement, traffic management, and both governmental and private sectors. Utilization in electronic toll collection, personal security, visitor management, and smart parking systems is commercially significant. In this investigation, a novel methodology grounded in the Kanade-Lucas-Tomasi (KLT) algorithm is introduced, targeting the localization, segmentation, and recognition of characters within license plates. Implementation was conducted utilizing MATLAB software, with grayscale images derived from both still cameras and video footage serving as the input. An extensive evaluation of the results revealed an accuracy of 99.267%, a precision of 100%, a recall of 99.267%, and an F-Score of 99.632%, thereby surpassing the performance of existing methodologies. The contribution of this research is significant in addressing critical challenges inherent in VLPR systems and achieving an enhanced performance standard.
Authors and Affiliations
Egina Nyati, John Sabelo Mahlalela
Keywords
Related Articles
- EP ID EP732249
- DOI https://doi.org/10.56578/mits020401
- Views 18
- Downloads 0
Cause Analysis of Whole Vehicle NVH Performance Degradation under Idle Conditions
The NVH (noise, vibration, harshness) performance of automobiles is a key issue in enhancing user comfort. However, car manufacturers and original equipment manufacturers often invest more research and development effort...
Design Configuration and Technical Application of Rotary-Wing Unmanned Aerial Vehicles
Due to their advantages in hovering, takeoff and landing adaptability, maneuverability, and other factors, rotary-wing unmanned aerial vehicles (UAVs) are widely applied across many different fields. The UAVs' design and...
Pavement Condition Assessment Using Pavement Condition Index and Multi-Criteria Decision-Making Model
Road maintenance is essential to the growth of the transportation infrastructure and, thereby, has a big impact on a nation's overall economic stability and prosperity. It is impossible to simultaneously monitor and main...
Machine Learning for Road Accident Severity Prediction
In the realm of road safety management, the development of predictive models to estimate the severity of road accidents is paramount. This study focuses on the multifaceted nature of factors influencing accident severity...
Incorporating Climate Change Resilience in India’s Railway Infrastructure: Challenges and Potential
This study delves into the crucial task of embedding climate change resilience within the sphere of railway infrastructure planning and design in India. As climate change continues to threaten global transportation syste...