Publication: Handwritten signature verification: Online verification using a fuzzy inference system
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Date
2016
Authors
Faruki M.J.
Lun N.Z.
Ahmed S.K.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Biometric features posses the significant advantage of being difficult to lose, forget or duplicate. Hence, a FIS-based method is used for signature verification. FIS is well suited for this task due to the similarity between an individual signatures with subtle differences between each signature sample. Signature samples are collected using a tablet PC. The individuals draw their signatures usinga pressure sensitive pen on the tablet. Eight dynamic features are extracted from the signature data. These eight features are then fuzzified for training of a FIS. The system is then used to determine whether the signature is genuine or forged. A False Acceptance Rate (FAR) of 10.67% and a False Rejection Rate (FRR) of 8.0% demonstrate the promise of this system. � 2015 IEEE.
Description
Fuzzy inference; Personal computers; Biometric features; False acceptance rate; False rejection rate; Fuzzy inference systems; Handwritten signature verification; On-line verifications; Pressure sensitive; Signature verification; Image processing