A low cost barcode recognition method

Ying Hu; Jin Huang; Zi Ma

doi:10.1117/12.717151

6 November 2006 A low cost barcode recognition method

Ying Hu, Jin Huang, Zi Ma

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63572W (2006) https://doi.org/10.1117/12.717151
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Traditional barcode recognition equipments are very expensive and very often do not fit common users due to their large scale. A novel low-cost method is proposed in this paper to implement automatic recognition of the barcode information from images captured by a CMOS camera without the need for additional light source. Firstly, the barcode orientation is recognized based on the character of bar-like image. The barcode sequence is then generated by the image projection. Finally, the barcode information is recognized according to the encoding rule. The overall success rate is up to 90%, justified by 400 datasets provided by multiple individuals.

Citation Download Citation

Ying Hu, Jin Huang, and Zi Ma "A low cost barcode recognition method", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63572W (6 November 2006); https://doi.org/10.1117/12.717151

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available