%0 Journal Article %A WEI Jiamin1 %A FENG Jun1 %A BU Qirong1 %A GAO Yuan2 %A ZHAO Yan1 %T Off-line Chinese handwriting signature verification with hierarchical classification %D 2018 %R 10.3778/j.issn.1002-8331.1611-0238 %J Computer Engineering and Applications %P 112-118 %V 54 %N 8 %X This paper proposes a hierarchical classification method for Chinese handwriting signature verification called HCSV(Hierarchical Classifier for Signature Verification, HCSV), which combines Extreme Learning Machine(ELM) with Sparse Representation(SR). First of all, taking advantage of the generalization ability and robustness of ELM, random forged signatures which can easily be identified are distinguished. Afterwards, the premeditated forged signatures are selected from the real signatures by sparse representation classifiers which have good ability of feature description. Experimental results show that the proposed method achieves 95.53% verification accuracy, which is better than two state-of-art methods. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1611-0238