Adopting morphology method in camera based EAN-13 1D barcode recognition using Simulink: article / Siti Nor Safinaz Ozaimidi

This paper studies barcode recognition which implements using Simulink MATLAB 7.13. The proposed algorithms and the implementations of image are for EAN-13 barcode by using camera devices. A Barcode recognition process is based on image color conversion in order enhance visual quality of 1D EAN-13 barcode image. Each scan lines were processed by transforming it into a feature value to analyze. RGB to intensity color conversion block is approach to compute the feature extraction. Gaussian Filter is used to smooth the image gradient of barcodes which is consist of sequence of parallel, light and dark stripes printed. In barcode recognition, the symbols were up sampled and compared with codebook to determine the corresponding code. A result of barcode numbers saved in file.mat is used for product matching code. The percentage of success is 94.44% and failure of the system is 5.56%.