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Survey on Various Types of License Plate Localization, Segmentation & Recognition Algorithms

C.Anantha Reddy*, Shoba Bindu C**

* PG Student, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Anantapuramu, India.

** Associate Professor, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Anantapur, India.

Periodicity:September - November'2014
DOI : https://doi.org/10.26634/jpr.1.3.3217

Abstract

Automatic License Plate Recognition (ALPR) is a challenging area of review due to its importance to a wide variety of its commercial applications. In any ALPR, there are three phases, which are used for license plate recognition. The initial phase is to capture the car image using sensors like camera and extract the license plate image from the input image. The next phase is to segment the license plate for extracting the characters from the image of the license plate which are based on features like color, shape, etc. The final phase is to detect and recognize the segmented characters of the license plate. This paper reviews different types of approaches and its challenges involved in localization, Segmentation and recognition of license plate numbers. Extensive studies are also made and the recognition accuracies are compared. This paper also suggests the best possible combination within all the proposed techniques to achieve higher accuracies with minimum resources.

Keywords

License Plate, Localization, Detection, Recognition, Segments, Genetic Algorithms.

How to Cite this Article?

Reddy, C. A., and Bindu, C. S. (2014). Survey on Various Types of License Plate Localization, Segmentation & Recognition Algorithms. i-manager’s Journal on Pattern Recognition, 1(3), 32-39. https://doi.org/10.26634/jpr.1.3.3217

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