Abstract
Optical Character Recognition (OCR) is the last stage in an Automatic Number Plate Recognition System (ANPRs). In this stage the number plate characters on the number plate image are converted into encoded texts. In this paper, an Artificial Neural Network (ANN) based OCR algorithm for ANPR application is presented. A database of 3700 UK binary character images have been used for testing the performance of the proposed algorithm. Results achieved have shown that the proposed algorithm can meet the real-time requirement of an ANPR system and can averagely process a character image in 8.4ms with 97.3% successful recognition rate
Original language | English |
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Title of host publication | Procs 2012 IEEE Int Conf on Imaging Systems and Techniques IST) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 393-397 |
ISBN (Print) | 978-1-4577-1776-5 |
DOIs | |
Publication status | Published - 2012 |
Event | Imaging Systems and Techniques (IST), 2012 IEEE International Conference on - Manchester, United Kingdom Duration: 16 Jul 2012 → 17 Jul 2012 |
Conference
Conference | Imaging Systems and Techniques (IST), 2012 IEEE International Conference on |
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Country/Territory | United Kingdom |
City | Manchester |
Period | 16/07/12 → 17/07/12 |