In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

Deep learning (DL) is a powerful machine learning field that has achieved considerable
success in many research areas. Especially in the last decade, the-state-of-the-art studies …

The dynamic signature is a biometric trait widely used and accepted for verifying a person's
identity. Current automatic signature-based biometric systems typically require five, ten, or …

Handwriting and signature biometrics have a long history in the literature, especially in terms
of identity recognition and/or verification; nevertheless, it reveals more information therefore …

Identification based on signature verification is one of the most popular biometric methods
which were used even prior to the advent of computers. In the field of dynamic signature …

In this paper, we propose a method for user Finger Vein Authentication (FVA) as a biometric
system. Using the discriminative features for classifying theses finger veins is one of the …

Deep learning algorithms have shown exceptional effectiveness in a wide range of
supervised and unsupervised learning tasks in a variety of fields, including image …

Handwritten signing are one of the most popular behavioral biometrics. They are widely
accepted for verification purposes, such as authenticating legal documents and financial …

Background: With the increasing advancement of technology, it is necessary to develop
more accurate, convenient, and cost-effective security systems. Handwriting signature, as …

The signature of the customer is still verified manually by the bank sectors. This includes
new account creation, existing account merging, withdrawal form signature, cheque …