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» New Feature Extraction Approaches for Face Recognition
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ICPR
2008
IEEE
15 years 8 months ago
Face recognition using Complete Fuzzy LDA
In this paper, we propose a novel method for feature extraction and recognition, namely, Complete Fuzzy LDA (CFLDA). CFLDA combines the complete LDA and fuzzy set theory. CFLDA re...
Wankou Yang, Hui Yan, Jianguo Wang, Jingyu Yang
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 7 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
ICVGIP
2004
15 years 2 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas
IBPRIA
2005
Springer
15 years 7 months ago
Discriminative Face Recognition Through Gabor Responses and Sketch Distortion
We present an inherently discriminative approach to face recognition. This is achieved by automatically selecting key points from lines that sketch the face and extracting textural...
Daniel González-Jiménez, José...
ICASSP
2011
IEEE
14 years 5 months ago
Non-stationary feature extraction for automatic speech recognition
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...
Zoltán Tüske, Pavel Golik, Ralf Schl&u...