المؤلفون المشاركون

Lin, Jeng-An
Fuh, Chiou-Shann

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-12-11

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

هندسة مدنية

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Lin, Jeng-An& Fuh, Chiou-Shann. 2013. 2D Barcode Image Decoding. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010941

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Lin, Jeng-An& Fuh, Chiou-Shann. 2D Barcode Image Decoding. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1010941

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Lin, Jeng-An& Fuh, Chiou-Shann. 2D Barcode Image Decoding. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010941

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1010941