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IJCNN
2007
IEEE

A Hybrid HMM/ANN Based Approach for Online Signature Verification

13 years 10 months ago
A Hybrid HMM/ANN Based Approach for Online Signature Verification
: This paper presents a new approach based on HMM/ANN hybrid for online signature verification. A group of ANNs are used as local probability estimators for an HMM. The Viterbi algorithm is employed to work out the global posterior probability of a model. The proposed HMM/ANN hybrid has a strong discriminant ability, i.e, from a local sense, the ANN can be regarded as an efficient classifier, and from a global sense, the posterior probability is consistent with that of a Bayes classifier. Finally, the experimental results show that this approach is promising and competing.
Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwo
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where IJCNN
Authors Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwok-Wing Chau
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