Towards Automatic License Plate Detection [PDF]
Automatic License Plate Detection (ALPD) is an integral component of using computer vision approaches in Intelligent Transportation Systems (ITS). An accurate detection of vehicles’ license plates in images is a critical step that has a substantial ...
Zahid Mahmood +5 more
doaj +7 more sources
Scale-Invariant Multidirectional License Plate Detection with the Network Combining Indirect and Direct Branches [PDF]
As the license plate is multiscale and multidirectional in the natural scene image, its detection is challenging in many applications. In this work, a novel network that combines indirect and direct branches is proposed for license plate detection in the
Song-Lu Chen +3 more
doaj +2 more sources
Region-based license plate detection [PDF]
Automatic license plate recognition (ALPR) is one of the most important aspects of applying computer techniques towards intelligent transportation systems. In order to recognize a license plate efficiently, however, the location of the license plate, in most cases, must be detected in the first place. Due to this reason, detecting the accurate location
Xiangjian He +2 more
exaly +2 more sources
Automatic Jordanian License Plate Detection and Recognition System Using Deep Learning Techniques [PDF]
Recently, the number of vehicles on the road, especially in urban centres, has increased dramatically due to the increasing trend of individuals towards urbanisation.
Tharaa Aqaileh, Faisal Alkhateeb
doaj +2 more sources
Deep Homography for License Plate Detection [PDF]
The orientation of plate images in license plate recognition is one of the factors that influence its accuracy. In particular, tilted plate images are harder to detect and recognize characters with than aligned ones.
Hojin Yoo, Kyungkoo Jun
doaj +2 more sources
A Real-Time License Plate Detection and Recognition Model in Unconstrained Scenarios [PDF]
Accurate and fast recognition of vehicle license plates from natural scene images is a crucial and challenging task. Existing methods can recognize license plates in simple scenarios, but their performance degrades significantly in complex environments ...
Lingbing Tao +5 more
doaj +2 more sources
License plate recognition system for complex scenarios based on improved YOLOv5s and LPRNet [PDF]
Traditional license plate recognition (LPR) algorithms perform well in controlled environments but often suffer from accuracy degradation in complex scenarios (such as adverse weather, plate tilt, and varying capture distances) as well as deployment ...
Xuanhong Wang +5 more
doaj +2 more sources
Fast Helmet and License Plate Detection Based on Lightweight YOLOv5 [PDF]
Guilin Wen
exaly +2 more sources
YOLO-SLD: An Attention Mechanism-Improved YOLO for License Plate Detection
The vehicle license plate detection plays a key role in Intelligent Transportation Systems. Detecting license plates, such as cars, trucks, and vans, is useful for law enforcement, surveillance, and toll booth operations.
Ming-An Chung, Yu-Jou Lin, Chia-Wei Lin
doaj +3 more sources
Heat Map-Based License Plate Detection in Complex Scenes [PDF]
As the application scenarios of license plate recognition continue to expand, the complexity of the processed images is also increasing.Thereforelicense plate detection also faces challenges such as difficulty in locating license platesslow detection ...
HAO Chaojie, JIA Zhengtang
doaj +1 more source

