Handwritten signature is a common biometric trait, widely used for confirming the presence
or the consent of a person. Offline Signature Verification (OSV) is the task of verifying the …

For signature verification systems, micro deformations can be defined as the small
differences in the same strokes of signatures or special writing habits of different signers …

In spite of recent advances in computer vision, the classic problem of offline handwritten
signature verification still remains challenging. The signature verification task has a high …

Handwritten signature verification is a crucial yet challenging problem. While previous
studies have made great progress in this problem, they learn signature features passively …

The human handwritten signature is considered to be a significant biometric trait. In the case
of offline signatures, the problem is addressed as an image recognition task. On the other …

In spite of the overwhelming high-tech marvels and applications that rule our digital lives, the
use of the handwritten signature is still recognized worldwide in government, personal and …

This paper introduces a novel approach to leverage the knowledge of existing expert
models for training new Convolutional Neural Networks, on domains where task-specific …

Deep learning methods have emerged as state-of-the-art techniques for learning
handwritten signature feature representations. However, successful results in deep learning …

With the rapid development of modern Internet of Things (IoT) technology, thehandwritten
signature verification system becomes a typical Human-ComputerInteraction (HCI) …

Small sample size learning (SSSL) problem arises when the available training data are
limited, making it challenging for machine learning models to capture meaningful patterns …