License Plate Localization and Storage Method

Enyedi, B.; Konyha, L.; Fazekas, K.; Turán, Ján

doi:10.1109/iwssip.2007.4381131

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“…In this method, the traditional algorithm [3] is improved by using histogram equalization to enlarge the intensity difference among objects and background. In our experiment, license plate images are tested under different light conditions.…”

Section: A Preprocessingmentioning

confidence: 99%

Multiple license plate recognition for intelligent traffic management

Abraham

Kurian

Rajesh

2011

2011 Annual IEEE India Conference

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This paper introduces a priority based edge detection of license plate and recognition of characters. We intend to extract and identify vehicle registration numbers from real time vehicle images without any human intrusion. In computation of license plate, localization shows better edge detection result when compared to conventional methods such as binarization, template matching or transition mapping. Although several effective image processing algorithms are created nowadays, real time operation is found to be impractical as their application is limited by huge computation requirements. As processing time and illumination of the image affects real time operation, it is reduced by setting a dynamic threshold. This paper uses the concept of localization for license plate extraction from real time images followed by the segmentation of characters and reformation.

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Section: A Preprocessingmentioning

confidence: 99%