Inference with Two Variables: Correlation Testing and Line Fitting

Author(s):  
Andy Lawrence
Keyword(s):  
1992 ◽  
Vol 21 (2) ◽  
pp. 300-312
Author(s):  
Richard Parker ◽  
Gerald Tindal ◽  
Stephanie Stein

1974 ◽  
Vol 42 (3) ◽  
pp. 253-253
Author(s):  
W. C. Elmore
Keyword(s):  

2021 ◽  
Vol 39 (1B) ◽  
pp. 101-116
Author(s):  
Nada N. Kamal ◽  
Enas Tariq

Tilt correction is an essential step in the license plate recognition system (LPR). The main goal of this article is to provide a review of the various methods that are presented in the literature and used to correct different types of tilt that appear in the digital image of the license plates (LP). This theoretical survey will enable the researchers to have an overview of the available implemented tilt detection and correction algorithms. That’s how this review will simplify for the researchers the choice to determine which of the available rotation correction and detection algorithms to implement while designing their LPR system. This review also simplifies the decision for the researchers to choose whether to combine two or more of the existing algorithms or simply create a new efficient one. This review doesn’t recite the described models in the literature in a hard-narrative tale, but instead, it clarifies how the tilt correction stage is divided based on its initial steps. The steps include: locating the plate corners, finding the tilting angle of the plate, then, correcting its horizontal, vertical, and sheared inclination. For the tilt correction stage, this review clarifies how state-of-the-art literature handled each step individually. As a result, it has been noticed that line fitting, Hough transform, and Randon transform are the most used methods to correct the tilt of a LP.


2019 ◽  
Vol 30 (4) ◽  
pp. 1218-1230 ◽  
Author(s):  
David Reverter Valeiras ◽  
Xavier Clady ◽  
Sio-Hoi Ieng ◽  
Ryad Benosman

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