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Each waveform is quantized by two Nonlinear Dynamics Tools in order to generate feature vectors. Multi-Resolution Box-Counting (MRBC) fractal dimension algorithm as well as probabilistic finite state automata (PFSA) are applied separately to signature waveforms. In the training and verification phase, we propose the one-class Gaussian process (GP) priors based on writer-independent approach. As one of the main parameters, optimal decision threshold is selected from False Accept Rate (FAR) and False Reject Rate (FRR) curves. The presented system was tested on two Persian databases (PHBC and UTSig) as well as on two Latin databases (MCYT-75 and CEDAR). In fact, the results produced by this method were generally better in terms of the four signature databases than the state-of-the-art results. <\/jats:p>","DOI":"10.1142\/s0218001420530018","type":"journal-article","created":{"date-parts":[[2019,3,25]],"date-time":"2019-03-25T02:26:47Z","timestamp":1553480807000},"page":"2053001","source":"Crossref","is-referenced-by-count":8,"title":["Nonlinear Dynamics Tools for Offline Signature Verification Using One-class Gaussian Process"],"prefix":"10.1142","volume":"34","author":[{"given":"Sima","family":"Shariatmadari","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sima","family":"Emadi","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Younes","family":"Akbari","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Qatar University, Doha, Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,5,24]]},"reference":[{"key":"S0218001420530018BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.09.011"},{"key":"S0218001420530018BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.11.017"},{"key":"S0218001420530018BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2707332"},{"key":"S0218001420530018BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.06.021"},{"key":"S0218001420530018BIB006","series-title":"EPFL-CONF-83266","first-page":"9","volume-title":"Int. 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