Title :
QR code detection using convolutional neural networks
Author :
Tzu-Han Chou ; Chuan-Sheng Ho ; Yan-Fu Kuo
Author_Institution :
Bio-Ind. Mechatron. Eng. Dept., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
Barcodes have been long used for data storage. Detecting and locating barcodes in images of complex background is an essential yet challenging step in the process of automatic barcode reading. This work proposed an algorithm that localizes and segments two-dimensional quick response (QR) barcodes. The localization involved a convolutional neural network that could detect partial QR barcodes. Majority voting was then applied to determine barcode locations. Then image processing algorithms were implemented to segment barcodes from the background. Experimental results shows that the proposed approach was robust to detect QR barcodes with rotation and deformation.
Keywords :
QR codes; image segmentation; object recognition; automatic barcode reading; barcode detection; barcode location; complex background images; convolutional neural networks; data storage; image processing algorithms; partial QR barcode detection; two-dimensional quick response barcode segmentation; Convolution; Face recognition; Feature extraction; Image recognition; Image segmentation; Neurons; Training;
Conference_Titel :
Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ARIS.2015.7158354