A Barcode Recognition Based on Multiform Algorithms

Author

Zhang, Yunfei ; Lu, Bo ; Su, Limin

Author_Institution

Coll. of Inf., Beijing Union Univ., Beijing, China

Volume

2

fYear

2012

fDate

26-27 Aug. 2012

Firstpage

17

Lastpage

20

Abstract

This paper takes EAN-13 barcode as an example to introduce multiform algorithms about automatic recognition. The algorithms consist of SIFT algorithm and the algorithm of optimized similar border distance measurement. Respective experimented on the same barcode, we got the result about the two algorithms. We acquired their characteristics and the fields which they are suited in. By experiment, all of them have high rate of recognition, low requirement for images and high calculating speed. So, they can meet the needs of responsiveness and automation well.

Keywords

bar codes; computer vision; feature extraction; object recognition; EAN-13 barcode; SIFT algorithm; barcode recognition; multiform algorithms; optimized similar border distance measurement algorithm; scale invariant feature transform; Accuracy; Algorithm design and analysis; Distance measurement; Image recognition; Indexes; Signal processing algorithms; SIFT algorithm; barcode; image matching; similar border;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on

Conference_Location

Nanchang, Jiangxi

Print_ISBN

978-1-4673-1902-7

Type

conf

DOI

10.1109/IHMSC.2012.100

Filename

6305714