[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-14-09-2022-306

Title : DEEP CONVOLUTIONAL NEURAL NETWORKS BASED AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM
S.Mahalakshmi 1 , Dheeba J 2

Abstract :

Automatic Number plate / License plate recognition (ANPR/ALPR) is identified as emerging technology which has been developed based on image processing techniques. It has been used in various fields like identifying vehicles in applications like over speeding, red-light enforcement, parking control and toll collection. ANPR is employed to detect the license plates then make the recognition of the plate that's to extract the text from the plate using location algorithms, segmentation plate and character recognition. The major issue that plays here is that the accuracy. Recent developments in deep learning have improved the capability to solve multifaceted visual recognition task. Hence using deep Convolutional Neural Networks will increase the processing speed and prediction accuracy of solving the ANPR process