OcrV1, Main, Exploration, bibRecord, 000189

Real-time optical character recognition on field programmable gate array for automatic number plate recognition system

Identifieur interne : 000189 ( Main/Exploration ); précédent : 000188; suivant : 000190

Real-time optical character recognition on field programmable gate array for automatic number plate recognition system

Auteurs : XIAOJUN ZHAI [Royaume-Uni] ; Faycal Bensaali [Royaume-Uni, Qatar] ; Reza Sotudeh [Royaume-Uni]

Source :

IET circuits, devices & systems : (Print) [ 1751-858X ] ; 2013.

RBID : Pascal:14-0011120

Descripteurs français

Pascal (Inist)
- Reconnaissance optique caractère, Réseau porte programmable, Reconnaissance automatique, Réseau neuronal, Algorithme, Implémentation, Représentation graphique, Base de données, Image binaire, Evaluation performance, Temps réel, Traitement image, Reconnaissance caractère.
Wicri :
- topic : Base de données.

English descriptors

KwdEn :
- Algorithm, Automatic recognition, Binary image, Character recognition, Database, Field programmable gate array, Graphics, Image processing, Implementation, Neural network, Optical character recognition, Performance evaluation, Real time.

Abstract

The last main stage in an automatic number plate recognition system (ANPRs) is optical character recognition (OCR), where the number plate characters on the number plate image are converted into encoded texts. In this study, an artificial neural network-based OCR algorithm for ANPR application and its efficient architecture are presented. The proposed architecture has been successfully implemented and tested using the Mentor Graphics RC240 field programmable gate arrays (FPGA) development board equipped with a 4M Gates Xilinx Virtex-4 LX40. A database of 3570 UK binary character images have been used for testing the performance of the proposed architecture. Results achieved have shown that the proposed architecture can meet the real-time requirement of an ANPR system and can process a character image in 0.7 ms with 97.3% successful character recognition rate and consumes only 23% of the available area in the used FPGA.

Affiliations:

Qatar, Royaume-Uni

Links toward previous steps (curation, corpus...)

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to stream PascalFrancis, to step Checkpoint: 000032
to stream Main, to step Merge: 000192
to stream Main, to step Curation: 000189

Le document en format XML

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Real-time optical character recognition on field programmable gate array for automatic number plate recognition system

Real-time optical character recognition on field programmable gate array for automatic number plate recognition system

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri