caa a22 4500 467884218 CHVBK 20180406152729.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s10032-005-0012-7 doi (NATIONALLICENCE)springer-10.1007/s10032-005-0012-7 Automatic accurate broken character restoration for patrimonial documents [Elektronische Daten] [Bénédicte Allier, Nadia Bali, Hubert Emptoz] In this article, we are interested in the restoration of character shapes in antique document images. This particular class of documents generally present a lot of involuntary historical information that have to be taken into account to get quality digital libraries. Actually, many document processing methods of all sorts have already been proposed to cope with degraded character images, but those techniques often consist in replacing the degraded shapes by a corresponding prototype which is not satisfying for lots of specialists. For that, we decided to develop our own method for accurate character restoration, basing our study on generic image processing tools (namely: Gabor filtering and the active contours model) completed with some specific automatically extracted structural information. The principle of our method is to make an active contour recover the lost information using an external energy term based on the use of an automatically built and selected reference character image. Results are presented for real case examples taken from printed and handwritten documents. Springer-Verlag, 2005 Symbol recognition nationallicence Machine print nationallicence Document image processing nationallicence Digital libraries nationallicence Allier Bénédicte Lyon Research Center for Images and Intelligent Information Systems (LIRIS), INSA de Lyon-20 av. A. Einstein, 69621, Villeurbanne Cedex, France aut Bali Nadia Lyon Research Center for Images and Intelligent Information Systems (LIRIS), INSA de Lyon-20 av. A. Einstein, 69621, Villeurbanne Cedex, France aut Emptoz Hubert Lyon Research Center for Images and Intelligent Information Systems (LIRIS), INSA de Lyon-20 av. A. Einstein, 69621, Villeurbanne Cedex, France aut International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/4(2006-09-01), 246-261 1433-2833 8:4<246 2006 8 10032 https://doi.org/10.1007/s10032-005-0012-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-005-0012-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Allier Bénédicte Lyon Research Center for Images and Intelligent Information Systems (LIRIS), INSA de Lyon-20 av. A. Einstein, 69621, Villeurbanne Cedex, France aut NATIONALLICENCE 700 1- Bali Nadia Lyon Research Center for Images and Intelligent Information Systems (LIRIS), INSA de Lyon-20 av. A. Einstein, 69621, Villeurbanne Cedex, France aut NATIONALLICENCE 700 1- Emptoz Hubert Lyon Research Center for Images and Intelligent Information Systems (LIRIS), INSA de Lyon-20 av. A. Einstein, 69621, Villeurbanne Cedex, France aut NATIONALLICENCE 773 0- International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/4(2006-09-01), 246-261 1433-2833 8:4<246 2006 8 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer