Bar Code Recognition in Highly Distorted and Low Resolution Images
dc.contributor.author | Shams, Ramtin | |
dc.contributor.author | Sadeghi, Parastoo | |
dc.coverage.spatial | Honolulu Hawaii | |
dc.date.accessioned | 2015-12-08T22:46:24Z | |
dc.date.created | April 15-20 2007 | |
dc.date.issued | 2007 | |
dc.date.updated | 2015-12-08T11:01:08Z | |
dc.description.abstract | In this paper, we present a novel approach to detection of one dimensional bar code images. Our algorithm is particularly designed to recognize bar codes, where the image may be of low resolution, low quality or suffer from substantial blurring, de-focusing, non-uniform illumination, noise and color saturation. The algoritnni is accurate, fast, scalable and can be easily adjusted to search for a valid result within a specified time constraint. Our algorithm is particulary useful for real-time recognition of bar codes in portable hand-held devices with limited processing capability, such as mobile phones. | |
dc.identifier.isbn | 1424407281 | |
dc.identifier.uri | http://hdl.handle.net/1885/38127 | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE Inc) | |
dc.relation.ispartofseries | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007) | |
dc.source | Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing | |
dc.subject | Keywords: Constraint theory; Feature extraction; Image quality; Image reconstruction; Image resolution; Image segmentation; Color saturation; Peak detection; Bar codes Bar codes; Feature extraction; Image segmentation; Pattern recognition; Peak detection | |
dc.title | Bar Code Recognition in Highly Distorted and Low Resolution Images | |
dc.type | Conference paper | |
local.bibliographicCitation.lastpage | 740 | |
local.bibliographicCitation.startpage | 737 | |
local.contributor.affiliation | Shams, Ramtin, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Sadeghi, Parastoo, College of Engineering and Computer Science, ANU | |
local.contributor.authoremail | u4267276@anu.edu.au | |
local.contributor.authoruid | Shams, Ramtin, u4374676 | |
local.contributor.authoruid | Sadeghi, Parastoo, u4267276 | |
local.description.embargo | 2037-12-31 | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
local.identifier.absfor | 080104 - Computer Vision | |
local.identifier.ariespublication | u3357961xPUB158 | |
local.identifier.doi | 10.1109/ICASSP.2007.366013 | |
local.identifier.scopusID | 2-s2.0-34547514839 | |
local.identifier.uidSubmittedBy | u3357961 | |
local.type.status | Published Version |
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