Open AccessPrinted text documents watermarking based on vertical word shift and word fragments brightness changing
Author(s) -
Dmitry Olegovich Obydenkov,
Alexander Evgenevich Frolov,
Yury Vital'evich Markin,
Stanislav Alexandrovich Fomin,
Boris Vladimirovich Kondrat’ev
Publication year - 2021
Publication title -
trudy instituta sistemnogo programmirovaniâ ran/trudy instituta sistemnogo programmirovaniâ
Language(s) - English
Resource type - Journals
eISSN - 2220-6426
pISSN - 2079-8156
DOI - 10.15514/ispras-2021-33(5)-4
Subject(s) - computer science , word (group theory) , feature (linguistics) , text segmentation , raster graphics , artificial intelligence , segmentation , natural language processing , maximization , pattern recognition (psychology) , algorithm , speech recognition , mathematics , linguistics , mathematical optimization , philosophy , geometry
This paper describes the results of the development of methods for marking text documents represented as a raster image. An important feature of the algorithms is the possibility wipe current document mark and embed another one. The study refers to structural marking algorithms based on vertical word shifts and brightness changes of certain areas of the words. Segmentation tools are used to obtain document layout, BCH codes for error correction, a likelihood maximization method for label extraction, and a neural network for perturbed words recovery. Testing has proved the practical applicability of the algorithms with printing and scanning.