DocumentCode
2444449
Title
Automatic Number Plate Recognition (ANPR) system for Indian conditions
Author
Kulkarni, Prathamesh ; Khatri, Ashish ; Banga, Prateek ; Shah, Kushal
Author_Institution
Dept. of Electron. & Telecommun., Univ. of Pune, Pune, India
fYear
2009
fDate
22-23 April 2009
Firstpage
111
Lastpage
114
Abstract
Automatic number plate recognition (ANPR) is a real time embedded system which automatically recognizes the license number of vehicles. In this paper, the task of recognizing number plate for Indian conditions is considered, where number plate standards are rarely followed. The system consists of integration of algorithms like: ´feature-based number plate localization´ for locating the number plate, ´image scissoring´ for character segmentation and statistical feature extraction for character recognition; which are specifically designed for Indian number plates. The system can recognize single and double line number plates under widely varying illumination conditions with a success rate of about 82%.
Keywords
embedded systems; feature extraction; image recognition; image segmentation; statistical analysis; traffic engineering computing; Indian condition; Indian number plates; automatic number plate recognition system; character recognition; character segmentation; double line number plates; feature-based number plate localization; image scissoring; license number; real time embedded system; single line number plates; statistical feature extraction; varying illumination conditions; Algorithm design and analysis; Character recognition; Digital signal processing; Feature extraction; Image processing; Image segmentation; Licenses; Signal processing algorithms; Surveillance; Vehicle detection; Indian number plates; Number plate recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Radioelektronika, 2009. RADIOELEKTRONIKA '09. 19th International Conference
Conference_Location
Bratislava
Print_ISBN
978-1-4244-3537-1
Electronic_ISBN
978-1-4244-3538-8
Type
conf
DOI
10.1109/RADIOELEK.2009.5158763
Filename
5158763
Link To Document