This paper develops a novel Class-dependence Feature Analysis (CFA) method for robust face recognition. A new correlation filter called Optimal Origin Correlation output Tradeoff Filter (OOCTF) is designed in the two-dimensional (2-D) feature space obtained by Second-order Tensor Subspace Analysis (
β¦ LIBER β¦
Analysis of class separation and combination of class-dependent features for handwriting recognition
β Scribed by Il-Seok Oh; Jin-Seon Lee; Suen, C.Y.
- Book ID
- 117873609
- Publisher
- IEEE
- Year
- 1999
- Tongue
- English
- Weight
- 345 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0162-8828
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