Institute of Electrical & Electronic Engineers
Signature continue to be an important biometric for authenticating the identity of human beings. This paper presents an effective method to perform Off-line signature verification using unique structural features extracted from the signature's contour. A novel combination of Modified Direction Feature (MDF) and additional distinguishing features such as the centroid, baseline area, length and skew are used for classification. This paper involves the design and development of an efficient signature identification system. The pattern recognition algorithm designed for this project is based on general architecture of signature identification system. Program source code and simulation is executed in MATLAB.