Handwritten signature recognition using departure of images from independence

In this paper we propose a new Handwritten Signature Recognition Algorithm. The Algorithm is based on pixel-to-pixel relationship between Images. The Algorithms are based on extensive statistical analysis, Standard Deviation, variance and Theory of Cross-Correlation. This is an extension work of Handwritten Signature Identification. This Algorithm supports the application environment and we strongly believe that "User Recognition" could be a solid platform for future research and study based on statistics and probability theory.