Handwriting Recognition Based on Net Nuclear Discriminant Analysis

A novel handwriting recognition method based on discriminant analysis using Kernel function is introduced.KDA is an extension of LDA to non-linear distributions.First,the principle of KDA is displayed,then the model on KDA for handwriting discriminant analysis is built.Secondly,the algorithm and the advantages and deficients of the model is detailed.Finally,the algorithm is realized by using C# language,which better diplays its advantages.The novel recognition method increases the training online and the recognition speed.