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Automatic number plate recognition on FPGA
- Source :
- ICECS
- Publication Year :
- 2013
- Publisher :
- Institute of Electrical and Electronics Engineers Inc., 2013.
-
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%. 2013 IEEE. Scopus
- Subjects :
- FPGA implementations
Computer science
Feature extraction
Character segmentation
Intelligent transportation systems
computer.software_genre
Intelligent systems
Automatic vehicle identification
Segmentation
Computer vision
Automatic number plate recognition
Graphics
Field-programmable gate array
Intelligent transportation system
Artificial neural network
Mentor Graphics
business.industry
Optical character recognition
Maximum frequency
Optical character recognition (OCR)
Automatic Number Plate Recognition systems
Artificial intelligence
business
computer
Handel-C
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- ICECS
- Accession number :
- edsair.doi.dedup.....d0f2bee68ae1335b17b3e931d507bed6