Abstract
A summary of materials used in creating documents, methods of creating the printed document, and methods to acquire a digital version of that document are presented. Current as well as historical methods, materials, and processes are presented. Along with this, a discussion of places where image degradations can enter the process is included. All this is related to how these aspects could affect document recognition ability.
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ISO/IEC 12233:2000, Photography – Electronic still-picture cameras – Resolution measurements (2000)
ISO/IEC 13660:2001 Information Technology – Office equipment – Measurement of image quality attributes for hardcopy output – Binary monochrome text and graphic images (2001)
Rice SV, Nagy G, Nartker T (1999) Optical character recognition: an illustrated guide to the frontier. Kluwer Academic, Boston
Cannon M, Hochberg J, Kelly P (1999) Quality assessment and restoration of typewritten document images. Int J Doc Anal Recognit 2:80–89
Souza A, Cheriet M, Naoi S, Suen CY (2003) Automatic filter selection using image quality assessment. In: Proceedings international conference on document analysis and recognition, Edinburgh, pp 508–511.
Franke K, Rose S (2004) Ink-deposition model: the relation of writing and ink deposition processes. In: Proceedings of the 9th international workshop on frontiers in handwriting recognition (IWFHR-9 2004), Kokubunji
Norris M, Barney Smith EH (2004) Printer modeling for document imaging. In: Proceedings of the international conference on imaging science, systems, and technology (CISST’04), Las Vegas, 21–24 June 2004, pp 14–20
Obafemi-Ajayi T, Agam G (2012) Character-based automated human perception quality assessment in document images. In: IEEE Trans Syst Man Cybern A Syst Hum 42(3):584–595
Baird HS (1990) Document image defect models. In: Proceedings of the IAPR workshop on syntactic and structural pattern recognition, Murray Hill, 13–15 June 1990
Ho TK, Baird HS (1997) Large-scale simulation studies in image pattern recognition. IEEE Trans Pattern Anal Mach Intell 19(10):1067–1079
Barney Smith EH (2005) Document scanning. McGraw-Hill 2005 yearbook of science and technology. McGraw-Hill, New York/London
Barney Smith EH (2009) A new metric describes the edge noise in bi-level images. SPIE Newsroom. doi:10.1117/2.1200910.1829
Sarkar P, Nagy G, Zhou J, Lopresti D (1998) Spatial sampling of printed patterns. IEEE Trans Pattern Anal Mach Intell 20(3):344–351
Kanungo T, Haralick RM, Phillips I (1994) Nonlinear local and global document degradation models. Int. J Imaging Syst Technol 5(4):220–30
Sharma G (2001) Show-through cancellation in scans of duplex printed documents. IEEE Trans Image Process 10(5):736–754
Tonazzini A, Salerno E, Bedini L (2007) Fast correction of bleed-through distortion in grayscale documents by a blind source separation technique. IJDAR 10(1):17–25
Khan MR, Hasan MK (2010) A novel model for show-through in scan of duplex printed documents. Signal, Image Video Process, 6(4):625–645
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© 2014 Springer-Verlag London
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Smith, P.H.B. (2014). Document Creation, Image Acquisition and Document Quality. In: Doermann, D., Tombre, K. (eds) Handbook of Document Image Processing and Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-859-1_3
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DOI: https://doi.org/10.1007/978-0-85729-859-1_3
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Publisher Name: Springer, London
Print ISBN: 978-0-85729-858-4
Online ISBN: 978-0-85729-859-1
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