With the acceleration of digitalization in all areas of our lives, the need for biometric
verification methods is increasing. The fact that biometric data is unique and biometric …

Recognising one's identity to enter a system is called authentication. This process can take
various forms where users input the system with a set of identifying credentials to access the …

Offline signature verification is one of the most challenging tasks in biometric authentication.
Despite recent advances in this field using image recognition and deep learning, there are …

This work aims to use a Siamese network to verify between genuine and forged signatures
by making signature embeddings more robust. Currently, the Siamese network is most …

Every person has his/her own unique signature that is used mainly for the purposes of
personal identification and verification of important documents or legal transactions. There …

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 …

One of the challenging and effective way of identifying person through biometric techniques
is Signature verification as compared to traditional handcrafted system, where a forger has …

Today's society has placed biometrics at the vital position to cater the needs of security
requirements. Handwritten signature is one such biometric behavioural characteristic which …

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 …

Image analytics solutions are very crucial for not only security, but also for authentication
purposes. One such intriguing new Deep Learning application is automatic signature …