Traffic Sign Detection Using Image Processing | Traffic Sign Recognition Using Matlab Project With Source Code | Final Year Project Code

ABSTRACT

               Traffic sign recognition is an important but challenging task, especially for automated driving and driver assistance. Its accuracy depends on two aspects: feature extractor and classifier. Current popular algorithms mainly use convolutional neural networks in image processing to execute feature extraction and classification. Such methods could achieve impressive results but usually on the basis of an extremely huge and complex network. What’s more, since the fully-connected layers in convolutional neural networks in image processing form a classical classifier, which is trained by conventional gradient descent-based implementations, the generalization ability is limited. The performance could be further improved if other favorable classifiers are used in matlab. The main objective of this project is to develop an algorithm so that we can automatically recognize traffic signs. This work uses basic image processing technique for automatically recognizing.

PROJECT OUTPUT

PROJECT DEMO VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com