IEEE - Institute of Electrical and Electronics Engineers, Inc. - Novel Sub-character HMM Models for Arabic Text Recognition

2013 12th International Conference on Document Analysis and Recognition (ICDAR)

Author(s): Irfan Ahmad ; Leonard Rothacker ; Gernot A. Fink ; Sabri A. Mahmoud
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2013
Conference Location: Washington, DC, USA
Conference Date: 25 August 2013
Page(s): 658 - 662
ISBN (Electronic): 978-0-7695-4999-6
ISSN (Paper): 1520-5363
DOI: 10.1109/ICDAR.2013.135
Regular:

Hidden Markov Model (HMM) is one of the most widely used classifier for text recognition. In this paper we are presenting novel sub-character HMM models for Arabic text recognition. Modeling at... View More

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