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96
Voted
ICDAR
2005
IEEE
15 years 3 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
ICDAR
2009
IEEE
15 years 4 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
15 years 11 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
ICDAR
1995
IEEE
15 years 1 months ago
Handwritten word recognition for real-time applications
—A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented ...
Gyeonghwan Kim, Venu Govindaraju
81
Voted
ICDAR
2009
IEEE
15 years 4 months ago
Integrating Language Model in Handwritten Chinese Text Recognition
This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segme...
Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu