Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Arabic Manuscripts Identification Based on Feature Relation Graph. / Redkin, Oleg; Bernikova, Olga; Shalymov, Dmitry; Pavlov, Vladislav.
Proceedings of Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference, AINL-ISMW FRUCT 2015. IEEE Canada, 2016. p. 83-88.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Arabic Manuscripts Identification Based on Feature Relation Graph
AU - Redkin, Oleg
AU - Bernikova, Olga
AU - Shalymov, Dmitry
AU - Pavlov, Vladislav
PY - 2016
Y1 - 2016
N2 - We investigate a new metric based on the Feature Relation Graph (FRG). This metric has proved to be effective for the text independent Persian writer identification. Since Persian script is based on Arabic writing similar principles of analysis may be also applied to the Arabic manuscripts. We have investigated the FRG for Arabic handwritten texts. Pattern based features are extracted from handwritten texts using Gabor and XGabor filters. The extracted features are represented for each author based on the FRG that plays a role of a feature vector in the classification problems. We have also investigated different parameters of the FRG.
AB - We investigate a new metric based on the Feature Relation Graph (FRG). This metric has proved to be effective for the text independent Persian writer identification. Since Persian script is based on Arabic writing similar principles of analysis may be also applied to the Arabic manuscripts. We have investigated the FRG for Arabic handwritten texts. Pattern based features are extracted from handwritten texts using Gabor and XGabor filters. The extracted features are represented for each author based on the FRG that plays a role of a feature vector in the classification problems. We have also investigated different parameters of the FRG.
M3 - статья в сборнике материалов конференции
SN - 978-952-68397-0-7
SP - 83
EP - 88
BT - Proceedings of Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference, AINL-ISMW FRUCT 2015
PB - IEEE Canada
Y2 - 8 November 2015 through 13 November 2015
ER -
ID: 4747655