A perspective analysis of handwritten signature technology
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 …
community. Over the last 40 years, the interest in signature studies has grown steadily …
Machine learning-based offline signature verification systems: A systematic review
The offline signatures are the most widely adopted biometric authentication techniques in
banking systems, administrative and financial applications due to its simplicity and …
banking systems, administrative and financial applications due to its simplicity and …
Sm-dtw: Stability modulated dynamic time warping for signature verification
Building upon findings in computational model of handwriting learning and execution, we
introduce the concept of stability to explain the difference between the actual movements …
introduce the concept of stability to explain the difference between the actual movements …
Automatic signature verifier using Gaussian gated recurrent unit neural network
Handwritten signatures are one of the most extensively utilized biometrics used for
authentication, and forgeries of this behavioral biometric are quite widespread. Biometric …
authentication, and forgeries of this behavioral biometric are quite widespread. Biometric …
Towards the design of an offline signature verifier based on a small number of genuine samples for training
Signature verification has remained one of the most widely accepted modalities to
authenticate an individual primarily due to the ease with which signatures can be acquired …
authenticate an individual primarily due to the ease with which signatures can be acquired …
Offline writer identification using a developed deep neural network based on a novel signature dataset
Signature is used as an important, typical means of identification in banking, security
controls, certificates, and contracts. Moreover, it has an intensive role in legal issues that …
controls, certificates, and contracts. Moreover, it has an intensive role in legal issues that …
Approaching the intra-class variability in multi-script static signature evaluation
As an emerging issue, multi-script signature verification is a recent challenge for current
Automatic Signature Verification (ASV) systems. Relevant differences are presented in the …
Automatic Signature Verification (ASV) systems. Relevant differences are presented in the …
A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition
Script identification is an essential step in document image processing especially when the
environment is multi-script/multilingual. Till date researchers have developed several …
environment is multi-script/multilingual. Till date researchers have developed several …
Learning generalisable representations for offline signature verification
X Cairang, D Zhaxi, X Yang, Y Hou… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
Current offline signature verification methods based on deep learning have achieved
promising results, but these methods degrade greatly in cross-domain settings. An efficient …
promising results, but these methods degrade greatly in cross-domain settings. An efficient …
ICFHR 2020 competition on short answer assessment and Thai student signature and name components recognition and verification (SASIGCOM 2020)
A Das, H Suwanwiwat, U Pal… - 2020 17th International …, 2020 - ieeexplore.ieee.org
This paper describes the results of the competition on Short answer ASsessment and Thai
student SIGnature and Name COMponents Recognition and Verification (SASIGCOM 2020) …
student SIGnature and Name COMponents Recognition and Verification (SASIGCOM 2020) …