Cart (Loading....) | Create Account
Close category search window
 

Arabic Handwriting Recognition Using Variable Duration HMM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)

The present paper describes a complete system for the recognition of unconstrained handwritten Arabic words using over-segmentation of characters and variable duration hidden Markov model (VDHMM). First, a segmentation algorithm is used to translate the 2-D image into 1-D sequence of sub-character symbols. This sequence of symbols is modeled by the VDHMM. The shape information of character and sub-character symbols is compactly represented by forty-five features in the feature space. The feature vector is modeled as an independently distributed multivariate discrete distribution. The linguistic knowledge about character transition is modeled as a Markov chain where each character in the alphabet is a state and bigram probabilities are the state transition probabilities. In this context, the variable duration state is used to resolve the segmentation ambiguity among the consecutive characters. Using Arabic handwritten data from two different sources, detailed experimental results are described to demonstrate the success of the proposed scheme.

Published in:

Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on  (Volume:2 )

Date of Conference:

23-26 Sept. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.