This paper presents a comprehensive study on handwritten signature verification using
deep learning techniques. This research aims to address the challenges of offline signature …

Verifying the identity of a person using handwritten signatures is challenging in the presence
of skilled forgeries, where a forger has access to a person's signature and deliberately …

Every person has a unique signature, which is primarily used for identity documents and the
authentication of significant documents or legal documentation. Static and dynamic …

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 …

Recently, deep convolutional neural networks have been successfully applied in different
fields of computer vision and pattern recognition. Offline handwritten signature is one of the …

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 …

Offline handwritten signature verification is a challenging pattern recognition task. One of the
most significant limitations of the handwritten signature verification problem is inadequate …

Handwritten signatures are an undeniable and unique way to prove the identity of persons.
Owing to the simplicity and uniqueness, it finds an essential place in the area of behavioral …

Hand-written signatures are marked on documents to establish legally binding evidence of
identity and intent. However, they are prone to forgery, and the design of an accurate feature …

Handwritten signatures are biometrics and a point of contention in the scientific community,
the process used to verify whether a person's signature is genuine. In the past ten years, the …