Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities
K Bibi, S Naz, A Rehman - Multimedia Tools and Applications, 2020 - Springer
Biometric systems are playing a key role in the multitude of applications and placed at the
center of debate in the scientific research community. Among the numerous biometric …
center of debate in the scientific research community. Among the numerous biometric …
Offline signature verification using deep learning convolutional neural network (CNN) architectures GoogLeNet inception-v1 and inception-v3
Biometric systems such as signature verification are highly viable in order to identify
individuals in organizations or in finance divisions. Advancement in classification of images …
individuals in organizations or in finance divisions. Advancement in classification of images …
Offline signature verification using deep neural network with application to computer vision
Biometric technologies, such as handwritten signature verification, are extremely useful for
identifying individuals inside an organization or finance department. The improvement of …
identifying individuals inside an organization or finance department. The improvement of …
From text to signatures: Knowledge transfer for efficient deep feature learning in offline signature verification
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 …
or the consent of a person. Offline Signature Verification (OSV) is the task of verifying the …
Verification of genuine and forged offline signatures using Siamese Neural Network (SNN)
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 …
like computer vision, biometrics, NLP, Healthcare etc. However, when there is lack of …
New off-line handwritten signature verification method based on artificial immune recognition system
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 …
Artificial Immune Systems (AIS) used to solve various problems of engineering and artificial …
Behavior based human authentication on touch screen devices using gestures and signatures
With the rich functionalities and enhanced computing capabilities available on mobile
computing devices with touch screens, users not only store sensitive information (such as …
computing devices with touch screens, users not only store sensitive information (such as …
State-of-the-art in offline signature verification system
YM Al-Omari, SNHS Abdullah… - … Conference on Pattern …, 2011 - ieeexplore.ieee.org
Biometrics can be classified into two types Behavioral (signature verification, keystroke
dynamics, etc.) and Physiological (iris characteristics, fingerprint, etc.). Handwritten …
dynamics, etc.) and Physiological (iris characteristics, fingerprint, etc.). Handwritten …
[PDF][PDF] An integrated approach on verification of signatures using multiple classifiers (SVM and Decision Tree): A multi-classification approach
A signature is a handwritten representation that is commonly used to validate and recognize
the writer individually. An automated verification system is mandatory to verify the identity …
the writer individually. An automated verification system is mandatory to verify the identity …
DeepSignature: fine-tuned transfer learning based signature verification system
S Naz, K Bibi, R Ahmad - Multimedia Tools and Applications, 2022 - Springer
With the rapid advancement in computer science and information technology, the demand
for authentication of a person in different organizations, institutions, banks or online trading …
for authentication of a person in different organizations, institutions, banks or online trading …