OCR-based neural network for ANPR

Zhai, Xiaojun, Bensaali, Faycal and Sotudeh, Reza (2012) OCR-based neural network for ANPR. In: Procs 2012 IEEE Int Conf on Imaging Systems and Techniques IST) :. Institute of Electrical and Electronics Engineers (IEEE), GBR, pp. 393-397. ISBN 978-1-4577-1776-5
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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
Item Type Book Section
Date Deposited 15 May 2025 16:30
Last Modified 30 May 2025 16:59

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