Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition
The modified quadratic discriminant function has been used successfully in handwriting recognition, which can be seen as a dot-product method by eigen- decomposition of the covariance matrix. Therefore, it is possible to expand MQDF to high dimension space by kernel trick. This paper presents a new kernel- based method, Kernel modified quadratic discriminant function (KMQDF) for online Chinese Characters Recognition. Experimental results show that the performance of MQDF is improved by the kernel approach.