An Application of FCM Cluster in Hand-written Numeral Recognition Based on Zernike Moment

This article first used four steps of the compatible examination, the diversity examination, the relevant examination and the principal components analyzes to screen the handwritten digit Zernike moment, then we make use of the Fuzzy C-Mean cluster recognition of the hand-written numerals based on the screened Zernike moment. The example testified this method effective, and provides the theory basis for further establishment of the hand-written numeral recognition standard library. In this process, we have also discovered two reasons which cause the Fuzzy C-Mean cluster to be unefficient.