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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Machine Recognition of Online Handwritten Devanagari Characters
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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Niranjan Joshi, G. Sita, A.G. Ramakrishnan, V. Deepu, Sriganesh Madhvanath, "Machine Recognition of Online Handwritten Devanagari Characters," Document Analysis and Recognition, International Conference on, pp. 1156-1160, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.156,
author = {Niranjan Joshi and G. Sita and A.G. Ramakrishnan and V. Deepu and Sriganesh Madhvanath},
title = {Machine Recognition of Online Handwritten Devanagari Characters},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {1156-1160},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.156},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Machine Recognition of Online Handwritten Devanagari Characters
SN - 1520-5263
SP1156
EP1160
A1 - Niranjan Joshi,
A1 - G. Sita,
A1 - A.G. Ramakrishnan,
A1 - V. Deepu,
A1 - Sriganesh Madhvanath,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Niranjan Joshi, Indian Institute of Science Bangalore, India
G. Sita, Indian Institute of Science Bangalore, India
A.G. Ramakrishnan, Indian Institute of Science Bangalore, India
V. Deepu, Hewlett-Packard Laboratories, Bangalore
Sriganesh Madhvanath, Hewlett-Packard Laboratories, Bangalore
In this paper, we describe a system for the automatic recognition of isolated handwritten Devanagari , characters obtained by linearizing consonant conjuncts. Owing to the large number of characters and resulting demands on data acquisition, we use structural reconnition techniques to reduce some characters to others. The residual characters are then classiJied using the subspace method. Finally the results of structural recognition and feature-based matching are mapped to give final output. The proposed system is evaluated for the writer dependent scenario.
Citation:
Niranjan Joshi, G. Sita, A.G. Ramakrishnan, V. Deepu, Sriganesh Madhvanath, "Machine Recognition of Online Handwritten Devanagari Characters," icdar, pp.1156-1160, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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