NOVEL APPROACH TOWARDS NUMBER PLATE RECOGNITION

As the population is increasing every day need of individuals prompts increment in transportation framework. As we knowthe each vehicle contains the number plate which especially recognizes the vehicle individually and used for different kind of reasons. Number plate because of high Intensity can be...

Full description

Saved in:
Bibliographic Details
Published in:International journal of advanced research in computer science 2015-07, Vol.6 (6)
Main Authors: Kumar, Atul, Godara, Sunila
Format: Article
Language:English
Subjects:
Accuracy
Computer science
Digital cameras
Learning theory
License plates
Neural networks
Object recognition
Optical character recognition
Pictures
Recognition
Texts
Vehicle identification
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:As the population is increasing every day need of individuals prompts increment in transportation framework. As we knowthe each vehicle contains the number plate which especially recognizes the vehicle individually and used for different kind of reasons. Number plate because of high Intensity can be effectively read by people yet when the task comes to PC is getting complex. Someissue getting increment in situations when pictures is caught from the longer distance, high distortion, low contrast, low spatial resolution,blurred type and furthermore relies on upon the climate condition. Presently in today time the need of technology and quick innovation has opened the entryway for the analyst in this field of Number Plate Recognition (NPR). The paper here provide an approach using Artificial Neural Network (ANN) towards Number Plate Recognition how the number in text form can be achieved from an image of vehicle containing number plate. Using standard OCR result was achieved up to 94% while using ANN approach accuracy improved up to 95.5% in recognition.
ISSN:0976-5697