A License Plate-Recognition Algorithm for Intelligent Transportation System Applications
By Christos-Nikolaos E. Anagnostopoulos, Ioannis Anagnostopoulos, Vassilis Loumos, Eleftherios Kayafas. IEEE transactions on intelligent transportation systems (Print), 2006
803 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/467024c6cc8fe73c64e501f8a12cdbafbf9561b0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jiun-Chang Chen
- Yu-Zu Chung
- Gee-Sern Jison Hsu
- Mohamed S. Shehata
- Shan Du
- Wael Badawy
- Mahmoud Ibrahim
- Yue Lu
In Media Technology
- Jiun-Chang Chen
- Yu-Zu Chung
- Gee-Sern Jison Hsu
- Mohamed S. Shehata
- Shan Du
- Wael Badawy
- Mahmoud Ibrahim
- Ioannis Anagnostopoulos
Citations in the corpus
- License Plate Recognition From Still Images and Video Sequences: A Survey (2008, methodology): “The method was executed in an image of the sample described in [39]. skew correction for plate localization with a performance rate of 96.1% in 380 images.”
- Automatic License Plate Recognition (ALPR): A State-of-the-Art Review (2013, methodology): “In [41], the sliding concentric windows (SCW) method”
- Application-Oriented License Plate Recognition (2013, methodology): “2 The probabilistic neural network (PNN) in [1] and the ANN in [8] were both implemented and tested.”
- An Algorithm for License Plate Recognition Applied to Intelligent Transportation System (2011, background): “Since the first line of characters is not processed, the information obtained by the existing LPR may not satisfy the practical application demand [1], [14], [17]–[19], [22], [23], [31], [35].”