Academy & Industry Research Collaboration Center (AIRCC)

Volume 11, Number 18, November 2021

K-Nearest Neighbour and Dynamic Time Warping for Online Signature Verification


Mohammad Saleem and Bence Kovari, Budapest University of Technology and Economics, Hungary


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 knearest 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.


Online signature verification, k-nearest neighbor, dynamic time warping.