Paper Info
Title
Face recognition algorithm on the basis of truncated walsh-hadamard transform and synthetic discriminant functions
Abstract
This paper addresses face recognition algorithm by means of synthetic discriminant functions in reduced dimension space on appearance-based approach. Being apart from ideal conditions, where standard illumination, expression and frontal view are the normal case, we intend to process available information on the classic manner, providing useful and promising results. Half-tone facial image is 3D intensity shape, which we represent as being composed of a set of 2D binary images. Normalized gray image is sliced on the layers which are further converted to binary maps. 2D truncated Walsh-Hadamard Transform is then applied to these maps leading to significant reduction of dimensionality and producing translation-invariant feature vectors. These vectors are used to construct synthetic discriminant function (SDF), which is considered to be the facial image class descriptor and serves for face identification.
Year
DOI
Venue
2004
10.1109/AFGR.2004.1301534
FGR
Keywords
Field
DocType
normalized gray image,truncated walsh-hadamard,frontal view,half-tone facial image,available information,binary image,synthetic discriminant function,appearance-based approach,face identification,classic manner,face recognition algorithm,facial image class descriptor,independent component analysis,principal component analysis,face detection,linear discriminant analysis,feature vector,shape,feature extraction,lighting,face recognition,system identification,discriminant function,image recognition
Facial recognition system,Feature vector,Normalization (statistics),Pattern recognition,Discriminant,Binary image,Algorithm,Feature extraction,Curse of dimensionality,Artificial intelligence,Hadamard transform,Mathematics
Conference
ISBN
Citations 
PageRank 
0-7695-2122-3
4
0.41
References 
Authors
7
3
Name
Order
Citations
PageRank
Rauf Kh. Sadykhov152.49
Vladimir A. Samokhval240.41
Leonid P. Podenok341.42