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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Directed Graphical Model for Linear Barcode Scanning from Blurred Images
verfasst von : Ling Chen
Erschienen in: Computer Vision – ACCV 2012
Verlag: Springer Berlin Heidelberg
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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.