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» Analysis of Handwriting Individuality Using Word Features
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ICDAR
2005
IEEE
14 years 1 months ago
Mode detection in on-line pen drawing and handwriting recognition
On-line pen input benefits greatly from mode detection when the user is in a free writing situation, where he is allowed to write, to draw, and to generate gestures. Mode detecti...
Don Willems, Stéphane Rossignol, Louis Vuur...
CAIP
2009
Springer
163views Image Analysis» more  CAIP 2009»
14 years 9 days ago
Separation of Overlapping and Touching Lines within Handwritten Arabic Documents
In this paper, we propose an approach for the separation of overlapping and touching lines within handwritten Arabic documents. Our approach is based on the morphology analysis of ...
Nazih Ouwayed, Abdel Belaïd
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
ICDAR
2003
IEEE
14 years 28 days ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
SEMCO
2007
IEEE
14 years 1 months ago
Clustering Using Feature Domain Similarity to Discover Word Senses for Adjectives
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
Noriko Tomuro, Steven L. Lytinen, Kyoko Kanzaki, H...