A systematic comparison between on-line and off-line methods for signature verification with hidden Markov models-Reference-Cited by-同舟云学术

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A systematic comparison between on-line and off-line methods for signature verification with hidden Markov models

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Container-title:Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)
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Author:

Rigoll G.,Kosmala A.

Publisher

IEEE Comput. Soc

Link

http://xplorestaging.ieee.org/ielx4/5726/15322/00712066.pdf?arnumber=712066

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Signature Verification and Forgery Recognition System Using KNN, Backpropagation and CNN;2021 Innovations in Power and Advanced Computing Technologies (i-PACT);2021-11-27

2. Comparing the Effectiveness of Different Classifiers of Data Mining for Signature Recognition System;Proceedings of the 6th International Conference on Engineering & MIS 2020;2020-08-23

3. On-line signature recognition through the combination of real dynamic data and synthetically generated static data;Pattern Recognition;2015-09

4. Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling;Neural Computing and Applications;2014-12-19

5. Minutiae-Based Matching State Model for Combinations in Fingerprint Matching System;2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops;2013-06

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