Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …

The area of Handwritten Signature Verification has been broadly researched in the last
decades, but remains an open research problem. The objective of signature verification …

In recent years, along with the extraordinary diffusion of the Internet and a growing need for
personal verification in many daily applications, automatic signature verification is being …

This paper focuses on the task of room layout estimation from a monocular RGB image. Prior
works break the problem into two sub-tasks: semantic segmentation of floor, walls, ceiling to …

This paper presents a novel classification method, Deep Multitask Metric Learning (DMML),
for offline signature verification. Unlike existing methods that to verify questioned signatures …

A function-based approach to on-line signature verification is presented. The system uses a
set of time sequences and Hidden Markov Models (HMMs). Development and evaluation …

Several papers have recently appeared in the literature which propose pseudo-dynamic
features for automatic static handwritten signature verification based on the use of gray level …

A method for conducting off-line handwritten signature verification is described. It works at
the global image level and measures the grey level variations in the image using statistical …

An on-line signature verification system exploiting both local and global information through
decision-level fusion is presented. Global information is extracted with a feature-based …

We present a new algorithm, A* Prune, to list (in order of increasing length) the first K
multiple-constrained-shortest-path (KMCSP) between a given pair of nodes in a digraph in …