@inproceedings{9ab4eefebf4141878dedeb2340225c9b,
title = "Text-independent writer identification and verification on offline Arabic handwriting",
abstract = "In this paper we evaluate the performance on Arabic handwriting of the text-independent writer identification methods that we developed and tested on Western script in recent years. We use the IFN/ENIT data in the experiments reported here and our tests involve 350 writers. The results show that our methods are very, effective and the conclusions drawn in previous studies remain valid also on Arabic script. High performance is achieved by combining textural features (joint directional probability, distributions) with allographic features (grapheme-emission distributions).",
author = "M.L. Bulacu and L.R.B. Schomaker and A.A Brink",
note = "Event: Proc. of 9th Int. Conf. on Document Analysis and Recognition (ICDAR 2007); 9th International Conference on Document Analysis and Recognition ; Conference date: 23-09-2007 Through 26-09-2007",
year = "2007",
language = "English",
isbn = "978-0-7695-2822-9",
volume = "2",
series = "IEEE Computer Society",
publisher = "IEEE (The Institute of Electrical and Electronics Engineers)",
pages = "769--773",
editor = "B Werner",
booktitle = "ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS",
}