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. © 2009 IEEE.