This repository contains code for training and using a barcode recognition model based on a custom neural network architecture.
To get started with the project, Clone the repository: git clone https://github.com/rayaneghilene/CNN_Barcode_detection.git
The barcode recognition model is based on a custom neural network architecture. The model consists of several convolutional layers followed by batch normalization and ReLU activation. Max pooling is applied after each convolutional layer to downsample the feature maps. The final output layer produces the predicted barcode number.
Neural Image Restoration For Decoding 1-D Barcodes Using Common Camera Phones Alessandro Zamberletti, Ignazio Gallo, Moreno Carullo and Elisabetta Binaghi Computer Vision, Imaging and Computer Graphics. Theory and Applications, Springer Berlin Heidelberg, 2011
If you have any questions or would like to discuss my work further, please don't hesitate to contact me at [email protected].
If you would like to contribute to this project, feel free to submit pull requests or open issues for discussion.
This project is licensed under the MIT License - see the LICENSE file for details.
This repository was created by GHILENE Rayane