A novel approach for automatic number plate recognition

Author

Shaikh, Sabya ; Lahiri, B. ; Bhatt, G. ; Raja, N.

Author_Institution

Dept. of Comput. Eng., A.D. Patel Inst. of Technol., Anand, India

fYear

2013

fDate

1-2 March 2013

Firstpage

375

Lastpage

380

Abstract

In this paper, innovative method is proposed for number plate recognition. It uses series of image manipulations to recognize number plates. It uses 4-6 algorithms in order to do the same. For plate localization, several traditional images processing techniques are used. Techniques such as image enhancement, unsharp masking, edge detection, filtering and component analysis each plays a role in the extraction process. For character segmentation, connected components are extracted as individual number plate characters. Template Matching is in charge of the Optical Character Recognition.

Keywords

automobiles; edge detection; filtering theory; image enhancement; image matching; image segmentation; optical character recognition; automatic number plate character recognition; character segmentation; edge detection; image connected component extraction; image enhancement; image filtering; image manipulations; image processing techniques; optical character recognition; template matching; unsharp masking; Character recognition; Image edge detection; Image enhancement; Image segmentation; Licenses; Lighting; Optical character recognition software; image acquisition; image enhancement; segmentation and optical character recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on

Conference_Location

Gujarat

Print_ISBN

978-1-4799-0316-0

Type

conf

DOI

10.1109/ISSP.2013.6526938

Filename

6526938