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Online signatures are one of the most commonly used biometrics. Severalverification systems and public databases were presented in this field. Thispaper presents a combination of k-nearest neighbor and dynamic time warpingalgorithms as a verification system using the recently published DeepSignDBdatabase. Our algorithm was applied on both finger and stylus input signatureswhich represent both office and mobile scenarios. The system was first testedon the development set of the database. It achieved an error rate of 6.04% forthe 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 evaluationset of the database and achieved very promising results, especially for fingerinput signatures.

K-nearest neighbour and dynamic time warping for online signature verification