A Novel Method for Traffic Sign Recognition Based on DCGAN and MLP With PILAE Algorithm

This paper centers on a novel method for traffic sign recognition (TSR). The method comprises of two major steps: 1) make strong representations for TSR images, by extraction deep features with the deep convolutional generative adversarial networks (DCGANs) and 2) classifier defined by multilayer pe...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Mohammed A. B. Mahmoud, Ping Guo
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Subjects:	Deep convolutional generative adversarial networks (DCGAN) feature extraction pseudoinverse learning autoencoder (PILAE) traffic sign recognition (TSR)
Online Access:	https://ieeexplore.ieee.org/document/8723152/