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» Dynamic Local Feature Analysis for Face Recognition
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ICDAR
2003
IEEE
14 years 29 days ago
Feature Extraction by Hierarchical Overlapped Elastic Meshing for Handwritten Chinese Character Recognition
Meshing is a popular technology for feature extraction in handwritten Chinese character recognition. In this paper, we propose a hierarchical overlapped elastic meshing (HOEM), wh...
Tianlei Wu, Shaoping Ma
SISAP
2010
IEEE
259views Data Mining» more  SISAP 2010»
13 years 5 months ago
kNN based image classification relying on local feature similarity
In this paper, we propose a novel image classification approach, derived from the kNN classification strategy, that is particularly suited to be used when classifying images descr...
Giuseppe Amato, Fabrizio Falchi
PRL
2000
148views more  PRL 2000»
13 years 7 months ago
One-dimensional representation of two-dimensional information for HMM based handwriting recognition
: In this study, we introduce a set of one-dimensional features to represent two dimensional shape information for HMM (Hidden Markov Model) based handwritten optical character rec...
Nafiz Arica, Fatos T. Yarman-Vural
UAIS
2008
185views more  UAIS 2008»
13 years 7 months ago
Facial movement analysis in ASL
In the age of speech and voice recognition technologies, sign language recognition is an essential part of ensuring equal access for deaf people. To date, sign language recognition...
Christian Vogler, Siome Goldenstein
CVPR
2010
IEEE
14 years 1 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal