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License Plate Recognition Using a Set of Classifiers


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  • Product Description

License Plate (LP) is the unique identification of a car. License Plate Recognition (LPR) is a method used by a computer to convert digital images of vehicle license plates into text. LPR have a wide range of applications. Among these applications: traffic control, parking, access control, border control, and stolen cars tracking. This work aims to design a LPR for the Iraqi license plates. It consists of three basic stages (preprocessing, LP localization and LP recognition). Since the images of the vehicles are taken in different day time, then the first stage in the proposed LPR is “preprocessing stage” which involves image binarization and image segmentation. The second stage is called “LP localization” where the accurate location of the LP in the digital image will be determined. The new used algorithm for locating the LP depends on the geometrical features of the LP. Then The LP is rotated and adjusted using affine transform. The last stage is “LP recognition” in which the numerals and characters of the LP are recognized into text. The two method used for the recognition of the numerals and characters are moment based and local density distribution based.

Product Specifications
SKU :COC65182
AuthorNada Najeel Kamal and Loay E. George
Number of Pages188
Publishing Year2013-08-08T00:00:00.000
Edition1 st
Book TypeIntegrated software packages
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-08 00:00:00
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