Barcode Recognition System Based on GPU & CPU Structure

Peng Wang (), Shan-shan Liu, Jian-sheng Hao and Yong Cai
Additional contact information
Peng Wang: Tianjin University
Shan-shan Liu: Military Transportation University
Jian-sheng Hao: Military Transportation University
Yong Cai: Military Transportation University

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 243-248 from Springer

Abstract: Abstract Because of the low speed reading of barcode recognition system in high-resolution image, which based on image acquisition, the paper proposed a new kind of barcode recognition system structure which based on GPU & CPU parallel processing, and presented the solution of the system. At last, investigated critical technology of image noise processing in recognition system and discussed the QNLM filter arithmetic which was suitable for operating on GPU. The method not only made the processing speed faster, but also had been verified feasible.

Keywords: Barcode; GPU; Image processing; NLM (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_24

Ordering information: This item can be ordered from
http://www.springer.com/9783642400636

DOI: 10.1007/978-3-642-40063-6_24

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().