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 …

Signature identification and verification are some of the biometric systems used for personal
identification. Signatures can be considered as authentication of an individual by the …

To meet the recent demands for automated security systems, this study proposes a novel
single-template strategy that uses mean templates and local stability-weighted dynamic time …

In keeping with recent developments in artificial intelligence in the era of big data, there is a
demand for online signature verification systems that operate at high speeds, provide a high …

Online signature verification remains a challenging task owing to large intra-individual
variability. To tackle this problem, in this paper, we propose to use recurrent neural networks …

Online signature verification has been widely applied in biometrics and forensics. Due to the
recent demand on high-speed systems in this era of big data, to simultaneously improve its …

Dynamic time warping (DTW) is a popular technique for sequence alignment, and is the de
facto standard for dynamic signature verification. In this paper, we go a significant step …

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 …

Handwritten signature verification is a challenging task because signatures of a writer may
be skillfully imitated by a forger. As skilled forgeries are generally difficult to acquire for …

Biometric verification systems are used to recognize people based on their uniqueness or
characteristics. Signature is considered as one of the most commonly used biometric that …