DocumentCode :
2103297
Title :
Automatic Number Plate Recognition on FPGA
Author :
Xiaojun Zhai ; Bensaali, Faycal ; McDonald-Maier, K.
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
325
Lastpage :
328
Abstract :
Automatic Number Plate Recognition (ANPR) systems have become one of the most important components in the current Intelligent Transportation Systems (ITS). In this paper, a FPGA implementation of a complete ANPR system which consists of Number Plate Localisation (NPL), Character Segmentation (CS), and Optical Character Recognition (OCR) is presented. The Mentor Graphics RC240 FPGA development board was used for the implementation, where only 80% of the available on-chip slices of a Virtex-4 LX60 FPGA have been used. The whole system runs with a maximum frequency of 57.6 MHz and is capable of processing one image in 11ms with a successful recognition rate of 93%.
Keywords :
field programmable gate arrays; image segmentation; intelligent transportation systems; optical character recognition; ANPR systems; CS; ITS; NPL; OCR; Virtex-4 LX60 FPGA; automatic number plate recognition systems; character segmentation; frequency 57.6 MHz; image processing; intelligent transportation systems; mentor graphics RC240 FPGA development board; number plate localisation; on-chip slices; optical character recognition; recognition rate; Artificial neural networks; Feature extraction; Field programmable gate arrays; Hardware; Licenses; Optical character recognition software; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
Conference_Location :
Abu Dhabi
Type :
conf
DOI :
10.1109/ICECS.2013.6815420
Filename :
6815420
Link To Document :
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