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ICDAR
2009
IEEE
14 years 9 months ago
Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
Minoru Maruyama, Takuma Yamaguchi
IPMI
2005
Springer
15 years 5 months ago
Elastic Shape Models for Interpolations of Curves in Image Sequences
Many applications in image analysis are concerned with the temporal evolution of shapes in video sequences. In situations involving low-contrast, low-quality images, human aid is o...
Shantanu H. Joshi, Anuj Srivastava, Washington Mio
ICPR
2004
IEEE
16 years 28 days ago
Discriminatory Power of Handwritten Words for Writer Recognition
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer's handwriting. While allographs are usually ...
Bin Zhang, Catalin I. Tomai, Sargur N. Srihari
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
ICCV
2007
IEEE
15 years 6 months ago
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao