An Efficient Signature Verification Method Based on an Interval Symbolic Representation and a Fuzzy Similarity Measure.

IEEE Transactions on Information Forensics and Security(2017)

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摘要
In this paper, an efficient offline signature verification method based on an interval symbolic representation and a fuzzy similarity measure is proposed. In the feature extraction step, a set of local binary pattern-based features is computed from both the signature image and its under-sampled bitmap. Interval-valued symbolic data is then created for each feature in every signature class. As a re...
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关键词
Feature extraction,Hidden Markov models,Forgery,Computational modeling,Training,Biometrics (access control)
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