In this paper, we present a robust system which is capable of detecting tables from free style online ink notes and extracting their structure so that they can be further edited in multiple ways.
We present our ink cleanup system that removes the smear and correction, so that the document becomes cleaner and more legible and the handwriting recognition rate could also be improved.
To make signature verification more accurate, we construct a system, which is composed of a simplified GMM model for global signature features, and a discrete HMM model for local signature features.
This paper presents an off-line signature verification system that only requires the genuine signatures of a new user.