Signature Verification applying Hidden Markov Models: Task report

In this investigation, Hidden Markov Models are applied to signature verification. The investigation includes optimizing HMM parameters for signatures and finding appropriate features for describing signatures. A signature verification system is proposed on the investigation with which a mean average error rate of 3.05% was achieved, contributed by a false acceptance rate of 2.07% and a false rejection rate of 4.03%.Applied SciencesElectrical EngineeringTelecommunications and Traffic Control Systems Grou