DIGITAL IMAGE PREPROCESSING IN AUTOMATIC LINEAR BARCODE RECOGNITION
Keywords:
one-dimensional barcode, digital image processing, image grayscale conversion, barcode-decoding methodsAbstract
One-dimensional or linear barcodes are widely utilized in logistics, medical diagnostic, retail and other areas. The work covers latest tendencies and approaches in development of methods and algorithms for digital image preprocessing for linear barcodes recognition. Preprocessing is necessary to improve the code reading conditions and allows transforming images to a unified state, required for further decoding. Also, covered some methods of barcodes localization in digital images.Downloads
References
T. Pavlidis, J. Swartz, and Y. P. Wang, "Fundamentals of bar code information theory," Computer, vol. 23, no. 4, pp. 74-86, Apr. 1990.
C. Saravanan, "Color Image to Grayscale Image Conversion," Computer Engineering and Applications (ICCEA), 2010 Second International Conference on, Bali Island, 2010, pp. 196-199.
Kumawat, Deepika; Singh, Ranjeet Kumar; Gupta, Deepak; Gupta, Shikha. “Impact of Denoising using Various Filters on QR Code” International Journal of Computer Applications 63.5 (2013).
Muniz R, Junco L, Otero A. A. “A robust software barcode reader using the Hough transform”. International Conference on Information Intelligence and Systems; 1999. pp. 313–319.
N. Normand, and C. Viard-Gaudin, “A Two- Dimensional Bar Code Reader,” Pattern Recognition, Vol. 3, pp. 201 03, 1994.
C. Viard-Gaudin, N. Normand, and D. Barba, “Algorithm Using a Two-Dimensional Approach,” Proc. of the Second Int. Conf. on Document Analysis and Recognition, No. 20-22, pp. 45-48, October 1993.
A.A. Krasnobaev, “Barcodes Recognition Algorithms”, Inst. Appl. Math., The Russian Academy of Science, Moscow 2004.
