License Plate Recognition From Still Images and Video Sequences: A Survey

By Christos-Nikolaos E. Anagnostopoulos, Ioannis Anagnostopoulos, Ioannis Psoroulas, Vassilis Loumos, Eleftherios Kayafas. IEEE transactions on intelligent transportation systems (Print), 2008

684 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/b33e389e2d3a43ac985df2c224dad8ef7c4e22b4

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In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

An Algorithm for License Plate Recognition Applied to Intelligent Transportation System (2011, background): “However, the systems were only capable of processing a single line of large characters, even if there were two lines of characters on the license plate [12], [14], [17], [19], [22]–[24], [29], [31], [35].”
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline (2018, background): “After dividing these challenging images into different categories [40], some categories contains less than 100 images.”
License Plate Detection and Recognition in Unconstrained Scenarios (2018, methodology): “LPs and characters), followed by handcrafted feature extraction methods and classical machine learning classifiers [1,4].”
Application-Oriented License Plate Recognition (2013, methodology): “Among the numerous methods for character recognition, artificial neural networks (ANNs) may be one of the most extensively used approaches [1], [5], [8], [22], [29], according to the survey in [6] and our own survey.”
Data-Driven Intelligent Transportation Systems: A Survey (2011, background): “review on license plate recognition is given in [23].”
50 Years of object recognition: Directions forward (2013, neutral): “monitoring and license plate recognition systems are also successfully used [15, 16], as are monetary bill recognition systems for use with ATMs [5].”
Automatic License Plate Recognition (ALPR): A State-of-the-Art Review (2013, methodology): “Connected component analysis (CCA) is an important technique in binary image processing [4], [24]–[26].”
A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector (2018, methodology): “For relevant studies using conventional image processing techniques, please refer to [1], [2], [13]–[19].”