There are many research activities in various recognition areas using high calibered computing power. Among many areas, the signature recognition and verification have more difficulties than any other recognition area because signature itself contains many problems caused by a variation of psychological status of signer and other environment. In the case of signature, therefore, it is important to extract the better parameters required for the higher verification ratio. In this paper, signature pressure is extracted and used as feature parameters to determine whether the input signature is ture or forgery, and then input signature is verified by fuzzy similarity method. As a result of appling the fuzzy similarity method to the recognition system it is proven that the system has by far better verification ratio about 10% than existing methods.