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Mathematical Problems in EngineeringVolume 2013 2013, Article ID 848276, 10 pages

Research ArticleDepartment of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan

Received 17 June 2013; Revised 25 October 2013; Accepted 16 November 2013

Academic Editor: Chung-Hao Chen

Copyright © 2013 Jeng-An Lin and Chiou-Shann Fuh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Barcode technology is one of the most important parts of Automatic Identification and Data Capture AIDC. Quick Response code QR code is one of the most popular types of two-dimensional barcodes. How to decode various QR code images efficiently and accurately is a challenge. In this paper, we revise the traditional decoding procedure by proposing a serial of carefully designed preprocessing methods. The decoding procedure consists of image binarization, QR code extraction, perspective transformation and resampling, and error correction. By these steps, we can recognize different types of QR code images. The experiment results show that our method has better accuracy than Google open-source 1D-2D barcode image processing library Zxing-2.1. Moreover, we evaluate the execution time for different-size images. Our method can decode these images in real time.

Autor: Jeng-An Lin and Chiou-Shann Fuh

Fuente: https://www.hindawi.com/


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