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.

• Type: Conference
• Year: 2007
• Where: IJCNN
• Authors: Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwok-Wing Chau
• Keywords: Global Posterior Probability, HMM/ANN Hybrid, IJCNN 2007, Posterior Probability