ISSN: 2349-5162

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Published in:

Volume 3 Issue 3
March-2016
eISSN: 2349-5162

Unique Identifier

JETIR1603018

Page Number

78-82

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Title

Automatic License Plate Detection And Character Recognition

ISSN

2349-5162

Cite This Article

"Automatic License Plate Detection And Character Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 3, page no.78-82, March-2016, Available :http://www.jetir.org/papers/JETIR1603018.pdf

Abstract

Automatic License Plate Detection and Character Recognition (ALPD) is a surveillance system that captures the image of vehicle and recognizes the license plate characters. This system can be useful in several applications such as the detection of stolen vehicles, tracking of the vehicles which overrides the traffic rules, access control, motorway road tolling, and journey time measurement. In this system, different approaches are already proposed for the detection and recognition of the License plate. One of the methods of ALPD system implemented by using windowed method for detection and OCR technique for recognition of license plate. This process is complex even though it yields good results. In another method, it uses edge detection technique for detection of license plate and OCR with neural network for recognition of characters in the license plate. This method also had complex algorithm for character recognition as we have to train the characters each time. The main motivation of our project is to propose an efficient detection and character recognition algorithm for ALPD system. The algorithm should be robust against distortions caused by variations in illuminations, rotations and colours in the license plate. Our algorithm is framed into the following steps license plate extraction, character segmentation and character recognition. Input of the system is the image of a vehicle captured by a camera. The captured image is processed through the license plate extractor which gives the extracted license plate area as output. Now the extracted license plate is segmented into individual characters in the segmentation part and finally recognition part recognizes the characters and displays the license plate. In this context, the number plate area is localized using a “novel morphological-based number plate localization” method. In the above method height by width ratio of connected components is calculated and by this approach license plate region is detected and segmentation of license plate characters can be done by labelling the connected components and recognition of characters are done by template matching technique. Characters are detected based on the template matching technique and this process is repeated for all the characters in the license plate.

Key Words

connected components, template matching, morphological operations, segmentation

Cite This Article

"Automatic License Plate Detection And Character Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp78-82, March-2016, Available at : http://www.jetir.org/papers/JETIR1603018.pdf

Publication Details

Published Paper ID: JETIR1603018
Registration ID: 160047
Published In: Volume 3 | Issue 3 | Year March-2016
DOI (Digital Object Identifier):
Page No: 78-82
ISSN Number: 2349-5162

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Cite This Article

"Automatic License Plate Detection And Character Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp78-82, March-2016, Available at : http://www.jetir.org/papers/JETIR1603018.pdf




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