NEURAL IMAGE RESTORATION FOR DECODING 1-D BARCODES
USING COMMON CAMERA PHONES
Alessandro Zamberletti, Ignazio Gallo, Moreno Carullo and Elisabetta Binaghi
In: VISAPP 2010, 17-21 May, 2010, Angers, France.
The existing open-source libraries for 1-D barcodes recognition are not able to recognize the codes from
images acquired using simple devices without autofocus or macro function. In this article we present an
improvement of an existing algorithm for recognizing 1-D barcodes using camera phones with and without
autofocus. The multilayer feedforward neural network based on backpropagation algorithm is used for image
restoration in order to improve the selected algorithm. Performances of the proposed algorithm were compared
with those obtained from available open-source libraries. The results show that our method makes possible
the decoding of barcodes from images captured by mobile phones without autofocus.