Smart license plate recognition system based on image processing using neural network

Koval, Vasyl; Turchenko, Volodymyr; Kochan, Volodymyr; Sachenko, Anatoliy; Markowsky, George

doi:10.1109/idaacs.2003.1249531

Cited by 47 publications

(11 citation statements)

References 7 publications

(4 reference statements)

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“…Neural network method has been employed to recognize car plate characters (Koval et al, 2003). The method can achieve promising performance if the quality of the given car plate image is well.…”

Section: Introductionmentioning

confidence: 99%

A hybrid method for robust car plate character recognition

Pan

Zhang

2005

Engineering Applications of Artificial Intelligence

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Section: Introductionmentioning

confidence: 99%

A hybrid method for robust car plate character recognition

Pan

Zhang

2005

Engineering Applications of Artificial Intelligence

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“…In 2003, authors in [8], described the process for automatic recognition of vehicle license plate number He used image fusion technique to obtain a clearer image from a series of blurred images. The second step was to detect the license plate location in the image.…”

Section: Literature Reviewmentioning

confidence: 99%

Devanagari Character Recognition Using Artificial Neural Network

Negi¹,

Mann²,

Chauhan³

2017

IJET

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Abstract-Devanagari is one of the Ancient Scripts that is in regular use in India as well as Nepal. Devanagari is currently used by more than 120 languages including Hindi, Nepali, Marathi, and Pali which defines the prevalence and the domination of Devanagari [1]. Immense popularity of this script must be taken care by the advance technologies of our present world so that we are able to connect to the real world to a greater depth. Artificial Neural Network is one the fastest growing technologies that has attracted a lot of attention in the field of Machine Learning. Various new technologies have developed to implement fast neural networks with little in depth knowledge requirements. We will be using Keras along with Theano which are python libraries for building our neural network. In this paper we constructed a simple artificial neural network using keras to recognize isolated Devanagari characters and also analyze the impact of variations in parameters in learning phase.

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“…Therefore, Dempster-Shafer theory is a generalization of Bayes reasoning that offers a way to combine uncertain information from disparate sensor sources. Further information can be found in [15,16,17].…”

Section: Related Workmentioning

confidence: 99%