In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

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

Deep learning plays very important role in almost all domains and application areas of AI
like computer vision, biometrics, NLP, Healthcare etc. However, when there is lack of …

Abstract Natural Immune System offers many interesting features that inspired the design of
Artificial Immune Systems (AIS) used to solve various problems of engineering and artificial …

ABSTRACT online or Dynamic signature verification (DSV) is one of the most acceptable,
intuitive, fast and cost effective tool for user authentication. DSV uses some dynamics like …

Zernike moments and Zernike polynomials have been widely applied in the fields of image
processing and pattern recognition. When high-order Zernike moments are computed, both …

Zernike moments, as a representative orthogonal moment, have been widely applied in the
fields of image processing and pattern recognition. The calculations are time-consuming …

Signatures are imperative biometric attributes of humans that have long been used for
authorization purposes. Most organizations primarily focus on the visual appearance of the …

Anisotropic scaling and translation invariants of Tchebichef moments are commonly used in
image analysis to address issues arising from patterns distorted by non-uniform scaling and …

Purpose: Shoeprint recognition has been widely used as forensic evidence in criminal
cases. The purpose of this study is to propose a shoeprint retrieval method based on core …