A Directed Graphical Model for Linear Barcode Scanning from Blurred Images
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.
KeywordsInformation Unit Camera Phone Line Spread Function Symbol Character Reference Waveform
Unable to display preview. Download preview PDF.
- 1.Wachenfeld, S., Terlunen, S., Jiang, X.: Robust recognition of 1-d barcodes using camera phones. In: 19th International Conference on Pattern Recognition, ICPR 2008, pp. 1–4. IEEE (2008)Google Scholar
- 4.Dridi, N., Delignon, Y., Sawaya, W., Septier, F.: Blind detection of severely blurred 1d barcode. In: GLOBECOM, pp. 1–5. IEEE (2010)Google Scholar
- 5.Qu, L., Tu, Y.: Change point estimation of bilevel functions. Journal of Modern Applied Statistical Methods 5, 347–355 (2006)Google Scholar
- 7.ISO: ISO/IEC 15420:2000 Information technology — Automatic identification and data capture techniques — Bar code symbology specification — EAN/UPC. International Organization for Standardization (2000)Google Scholar
- 11.Zamberletti, A., Gallo, I., Carullo, M., Binaghi, E.: Neural image restoration for decoding 1-d barcodes using common camera phones. In: Proceedings of 5th International Conference on Computer Vision Theory and Applications, VISAPP 2010, pp. 5–11 (2010)Google Scholar