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
even more specimens of a person's signature to learn intrapersonal variability sufficient to
provide an accurate verification of the individual's identity. To mitigate this drawback, this
paper proposes a procedure for training with only a single reference signature. Our strategy
consists of duplicating the given signature a number of times and training an automatic …

This paper is based on dynamic signature used for image processing and biometric traits.
Signature verification is essential in preventing duplication of documents in numerous
financial, legal and other commercial fields. The project presents several unique and
complicated difficulties: high/low intra-class variability (an individual's signature may vary
from day-to-day), large temporal variation (signature may vary completely over time), and
high/low inter-class similarity (original signature should be different from one another). To …