  Online signatures are one of the most commonly used biometrics. Several
verification systems and public databases were presented in this field. This
paper presents a combination of k-nearest neighbor and dynamic time warping
algorithms as a verification system using the recently published DeepSignDB
database. Our algorithm was applied on both finger and stylus input signatures
which represent both office and mobile scenarios. The system was first tested
on the development set of the database. It achieved an error rate of 6.04% for
the stylus input signatures, 5.20% for the finger input signatures, and 6.00%
for a combination of both types. The system was also applied to the evaluation
set of the database and achieved very promising results, especially for finger
input signatures.
