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Novel Technique for Number Plate Detection and Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 6 |
| Year of Publication: 2018 |
| Authors: Aditya Sharma, Deepak Chaudhary |
10.5120/ijca2018917570
|
Aditya Sharma, Deepak Chaudhary . Novel Technique for Number Plate Detection and Recognition. International Journal of Computer Applications. 182, 6 ( Jul 2018), 29-32. DOI=10.5120/ijca2018917570
Abstract
In this work, it is been concluded that various techniques of car number plate recognization is reviewed. The Automatic number plate recognition (ANPR) is a mass reconnaissance strategy that utilizations optical character recognition on images to peruse the license plates on vehicles. They can utilize existing shut circuit television or street principle authorization cameras, or ones particularly designed for the errand. They are utilized by different police powers and as a strategy for electronic toll gathering on pay-per-use streets and observing movement action, for example, red light adherence in a convergence. ANPR can be utilized to store the images caught by the cameras and additionally the content from the license plate, with some configurable to store a photo of the driver. Among various proposed techniques morphological scanning technique is efficient technique to scan the whole image and extract number plate portion. The second efficient technique is split-and-merge segmentation to segment whole detected number plate. The segmented number plate is recognized using the neural networks. The discussed technique provides 91 % accuracy of character reorganization.
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