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Proceedings Paper

Locating and decoding barcodes in fuzzy images captured by smart phones
Author(s): Wupeng Deng; Jiwei Hu; Quan Liu; Ping Lou
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Paper Abstract

With the development of barcodes for commercial use, people’s requirements for detecting barcodes by smart phone become increasingly pressing. The low quality of barcode image captured by mobile phone always affects the decoding and recognition rates. This paper focuses on locating and decoding EAN-13 barcodes in fuzzy images. We present a more accurate locating algorithm based on segment length and high fault-tolerant rate algorithm for decoding barcodes. Unlike existing approaches, location algorithm is based on the edge segment length of EAN -13 barcodes, while our decoding algorithm allows the appearance of fuzzy region in barcode image. Experimental results are performed on damaged, contaminated and scratched digital images, and provide a quite promising result for EAN -13 barcode location and decoding.

Paper Details

Date Published: 21 July 2017
PDF: 6 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201S (21 July 2017); doi: 10.1117/12.2281704
Show Author Affiliations
Wupeng Deng, Wuhan Univ. of Technology (China)
Jiwei Hu, Wuhan Univ. of Technology (China)
Quan Liu, Wuhan Univ. of Technology (China)
Ping Lou, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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