Traffic sign recognition by using convolutional neural network

dc.contributor.author	Sondos Khatatbeh
dc.contributor.author	Salam Nazzal
dc.date.accessioned	2023-11-07T08:41:07Z
dc.date.available	2023-11-07T08:41:07Z
dc.date.issued	2023
dc.description.abstract	In recent years there has been a rapid increase in technology that brought changes in human’s life which helps us to make tasks so easier even the complex management systems. traffic sign recognition is one of the important factor to be considered. To recognize the traffic signs we build a model using convolutional neural networks and this model will recognize the traffic signs. This algorithm is optimized by different optimizers’ algorithm such as Adam, AdaDelta, AdaGrad, RMSprop and SGD. The SGD algorithm achieved most accuracy so we consider it for optimizing our CNN model. It is implemented by using python platform.
dc.identifier.uri	https://hdl.handle.net/20.500.11888/18504
dc.supervisor	Dr. Allam mousa
dc.title	Traffic sign recognition by using convolutional neural network