A directed graphical model for linear barcode scanning from blurred images

Authors:
Ling Chen
Affiliations:
Department of Computer Science, Southwestern University of Finance and Economics, China
Venue:
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Year:
2012

Citing 3
Cited 0

Fundamentals of Bar Code Information Theory

Computer
Bar Code Waveform Recognition Using Peak Locations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Deblurring of One Dimensional Bar Codes via Total Variation Energy Minimization

SIAM Journal on Imaging Sciences

Quantified Score

Hi-index	0.00

Visualization

Abstract

Image blur is one of the major issues deteriorating the capability of a linear barcode scanning system. In this work, linear barcode scanning is treated under the perspective of stochastic modeling and inference. A directed graphical model is proposed to characterize the relationship between barcode value and its out-of-focused waveforms, based on which highly effective inference process can be implemented, allowing decoding barcode in real-time on mobile devices, directly from blurred images. The value of the proposed model is its potential to enlarge the operating range of current linear barcode scanning systems with no need for dedicated hardware components and making linear barcode scanning at close-up distance on fixed-focus lens a reality.