Principle Subspace-Based Signature Verification Technique

Online signature verification rests on hypothesis
of which for any writer, there will be similarity among
signature samples, with some scale variability and small
distortion. The signature verification using SVD technique is a dynamic method in which when users sign, the system
recognizes the signature by analyzing its characters such as
acceleration, pressure, and orientation. The SVD technique is used to find r-singular vectors sensing the maximal energy of the signature data matrix A. The data matrix is obtained using a virtual reality glove, 5DT Data Glove Ultra 14. The r-singular vector is called principle subspace which account for most of the variation in the original data. Having modeled the signature through its r-th principal subspace, the authenticity of the tried
signature can be determined by calculating the average
distance between its principal subspace and the template
signature. The signature verification technique was tested with large number of authentic and forgery signatures and has demonstrated the good potential of this technique.