The Community for Technology Leaders
Document Analysis Systems, IAPR International Workshop on (2012)
Gold Coast, Queensland Australia
Mar. 27, 2012 to Mar. 29, 2012
ISBN: 978-0-7695-4661-2
pp: 369-373
Automatic identification of an individual based on his/her handwriting characteristics is an important forensic tool. In a computational forensic scenario, presence of huge amount of text/information in a questioned document cannot be ensured. Lack of data threatens system reliability in such cases. We here propose a writer identification system for Oriya script which is capable of performing reasonably well even with small amount of text. Experiments with curvature feature are reported here, using Support Vector Machine (SVM) as classifier. We got promising results of 94.00% writer identification accuracy at first top choice and 99% when considering first three top choices.
Writer Identification, Oriya Script, Curvature Feature, SVM

U. Pal, K. Franke and S. Chanda, "Text Independent Writer Identification for Oriya Script," Document Analysis Systems, IAPR International Workshop on(DAS), Gold Coast, Queensland Australia, 2012, pp. 369-373.
84 ms
(Ver 3.3 (11022016))