Research investigating the use collar twojeys of Legendre moments for pattern recognition has been performed in recent years.This field of research remains quite open.This paper proposes a new technique based on block-based reconstruction method (BBRM) using Legendre moments compared with the global reconstruction method (GRM).For alleviating the blocking artifact involved in the processing, we propose a new approach using lapped block-based reconstruction method (LBBRM).
For the problem of selecting the optimal number of moment used to represent a given image, we propose the maximum entropy festool fs-wa/90 principle (MEP) method.The main motivation of the proposed approaches is to allow fast and efficient reconstruction algorithm, with improvement of the reconstructed images quality.A binary handwritten musical character and multi-gray-level Lena image are used to demonstrate the performance of our algorithm.