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ICDAR
2005
IEEE
14 years 1 months ago
An Approach to Identify Unique Styles in Online Handwriting Recognition
We describe a method for identifying different writing styles of online handwritten characters based on clustering. The motivation of this experiment is to develop automatic chara...
A. Bharath, V. Deepu, Sriganesh Madhvanath
MCS
2007
Springer
14 years 1 months ago
Hierarchical Behavior Knowledge Space
In this paper we present a new method for fusing classifiers output for problems with a number of classes M > 2. We extend the well-known Behavior Knowledge Space method with a...
Hubert Cecotti, Abdel Belaïd
ICDAR
2009
IEEE
14 years 2 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
CVPR
2000
IEEE
14 years 9 months ago
Using Lexical Similarity in Handwritten Word Recognition
Recognition using only visual evidence cannot always be successful due to limitations of information and resources available during training. Considering relation among lexicon en...
Jaehwa Park, Venu Govindaraju
ICFHR
2010
155views Biometrics» more  ICFHR 2010»
13 years 2 months ago
A Hybrid Model for Recognition of Online Handwriting in Indian Scripts
We present a complete online handwritten character recognition system for Indian languages that handles the ambiguities in segmentation as well as recognition of the strokes. The ...
Amit Arora, Anoop M. Namboodiri