caa a22 4500 445379618 CHVBK 20180317143013.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s10032-010-0131-7 doi (NATIONALLICENCE)springer-10.1007/s10032-010-0131-7 Linear-quadratic blind source separating structure for removing show-through in scanned documents [Elektronische Daten] [Farnood Merrikh-Bayat, Massoud Babaie-Zadeh, Christian Jutten] Digital documents are usually degraded during the scanning process due to the contents of the backside of the scanned manuscript. This is often caused by the show-through effect, i.e. the backside image that interferes with the main front side picture due to the intrinsic transparency of the paper. This phenomenon is one of the degradations that one would like to remove especially in the field of Optical Character Recognition (OCR) or document digitalization which require denoised texts as inputs. In this paper, we first propose a novel and general nonlinear model for canceling the show-through phenomenon. A nonlinear blind source separation algorithm is used for this purpose based on a new recursive and extendible structure. However, the results are restricted due to a blurring effect that appears during the scanning process due to the light transfer function of the paper. Consequently, for improving the results, we introduce a refined separating architecture for simultaneously removing the show-through and blurring effects. Springer-Verlag, 2010 Show-through reduction nationallicence Blind source separation nationallicence Linear-quadratic nationallicence Blurring effect nationallicence Merrikh-Bayat Farnood Electrical engineering department, Sharif university of technology, Azadi Avenue, Tehran, Iran aut Babaie-Zadeh Massoud Electrical engineering department, Sharif university of technology, Azadi Avenue, Tehran, Iran aut Jutten Christian GIPSA-lab, Department of Images and Signal, Grenoble, France aut International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/4(2011-12-01), 319-333 1433-2833 14:4<319 2011 14 10032 https://doi.org/10.1007/s10032-010-0131-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-010-0131-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Merrikh-Bayat Farnood Electrical engineering department, Sharif university of technology, Azadi Avenue, Tehran, Iran aut NATIONALLICENCE 700 1- Babaie-Zadeh Massoud Electrical engineering department, Sharif university of technology, Azadi Avenue, Tehran, Iran aut NATIONALLICENCE 700 1- Jutten Christian GIPSA-lab, Department of Images and Signal, Grenoble, France aut NATIONALLICENCE 773 0- International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/4(2011-12-01), 319-333 1433-2833 14:4<319 2011 14 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer