In this paper we present a method for building a robust pattern recognition system by integrating diierent classiiers making use of diverse features. In practical applications, individual classiiers may have various limitations when they are used alone, but their performance can be improved signiicantly if we combine the complementary advantages of the classiiers to deal with many diierent feat...
