A Perspective Analysis of Handwritten Signature Technology

Abstract

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, having as its main reference the application of automatic signature verification, as previously published reviews in 1989, 2000, and 2008 bear witness. Ever since, and over the last 10 years, the application of handwritten signature technology has strongly evolved, and much research has focused on the possibility of applying systems based on handwritten signature analysis and processing to a multitude of new fields. After several years of haphazard growth of this research area, it is time to assess its current developments for their applicability in order to draw a structured way forward. This perspective reports a systematic review of the last 10 years of the literature on handwritten signatures with respect to the new scenario, focusing on the most promising domains of research and trying to elicit possible future research directions in this subject.

References in corpus (6)

• Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication
• Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks
• BiosecurID: a multimodal biometric database
• SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification
• Static and Dynamic Synthesis of Bengali and Devanagari Signatures
• Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signature

Cited by in corpus (18)

• Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
• Sequence-based Dynamic Handwriting Analysis for Parkinson's Disease Detection with One-dimensional Convolutions and BiGRUs
• BioTouchPass: Handwritten Passwords for Touchscreen Biometrics
• Anthropomorphic Features for On-Line Signatures
• Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health
• Explainable offline automatic signature verifier to support forensic handwriting examiners
• Writing Order Recovery in Complex and Long Static Handwriting
• Investigating the Common Authorship of Signatures by Off-Line Automatic Signature Verification Without the Use of Reference Signatures
• Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approach
• Synthesis of 3D on-air signatures with the Sigma-Lognormal model
• On handwriting pressure normalization for interoperability of different acquisition stylus
• Graph-Based Offline Signature Verification
• Declarative Application Management in the Fog. A bacteria-inspired decentralised approach
• On the use of first and second derivative approximations for biometric online signature recognition
• Online Signature Verification based on the Lagrange formulation with 2D and 3D robotic models
• Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
• FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation
• SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification