Title
Discrimination of similar characters with a nonlinear compound discriminant function
Abstract
In studies of similar character recognition, the quadratic compound discriminant function has been proposed, in which a quadratic nonlinear transformation is applied to the compound discriminant function. It has been shown that the method can achieve high discrimination power. It may be true that a better decision boundary is estimated by raising the order of the nonlinear transformation, but the realization of third- or higher-order nonlinear compound discriminant functions is difficult due to the explosive increase of the amount of computation. On the other hand, the nonlinear transformation using kernel functions has recently been attracting attention. The high-order nonlinear transformation can be realized by this approach with a small amount of computation. It is expected that the above problem will be solved by performing a nonlinear transformation of the compound discriminant function by this method. This paper shows that the nonlinear transformation of the compound discriminant function can be formulated by using a kernel function, and proposes the nonlinear compound discriminant function. A recognition experiment shows that greater discrimination power than the quadratic compound discriminant function can be acquired by the proposed method with almost the same amount of computation as that using the compound discriminant function. © 2007 Wiley Periodicals, Inc. Syst Comp Jpn, 38(11): 36– 48, 2007; Published online in Wiley InterScience (). DOI 10.1002-scj.20530
Year
DOI
Venue
2007
10.1002/scj.v38:11
Systems and Computers in Japan
Keywords
Field
DocType
discriminant function,kernel function
Optimal discriminant analysis,Nonlinear system,Discriminant,Multiple discriminant analysis,Kernel Fisher discriminant analysis,Artificial intelligence,Linear discriminant analysis,Discriminant function analysis,Machine learning,Mathematics,Kernel (statistics)
Journal
Volume
Issue
Citations 
38
11
1
PageRank 
References 
Authors
0.41
1
4
Name
Order
Citations
PageRank
H. Suzuki123831.31
Yuji Waizumi2375.86
Nei Kato33982263.66
Yoshiaki Nemoto492070.38