1. bookVolume 12 (2022): Issue 4 (October 2022)
Journal Details
License
Format
Journal
eISSN
2449-6499
First Published
30 Dec 2014
Publication timeframe
4 times per year
Languages
English
Open Access

Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach

Published Online: 29 Oct 2022
Volume & Issue: Volume 12 (2022) - Issue 4 (October 2022)
Page range: 267 - 279
Received: 23 Mar 2022
Accepted: 11 Oct 2022
Journal Details
License
Format
Journal
eISSN
2449-6499
First Published
30 Dec 2014
Publication timeframe
4 times per year
Languages
English

[1] O. Alpar, Signature barcodes for online verification, Pattern Recognition, 124, 108426, 2022.10.1016/j.patcog.2021.108426 Search in Google Scholar

[2] Ł. Bartczuk, A. Przybył, K. Cpałka, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science (AMCS), 26(3), 603-621, 2016.10.1515/amcs-2016-0042 Search in Google Scholar

[3] J. Bilski, B. Kowalczyk, A. Marchlewska, J.M. Żurada, Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks, Journal of Artificial Intelligence and Soft Computing Research, 10(4), 299-316, 2020, https://doi.org/10.2478/jaiscr-2020-0020. Search in Google Scholar

[4] M. Chavan, R. R. Singh, V. A. Bharadi, Online Signature Verification Using Hybrid Wavelet Transform with Hidden Markov Model, International Conference on Computing, Communication, Control and Automation (ICCUBEA), 1-6, 2017, doi: 10.1109/iccubea.2017.8463660.10.1109/ICCUBEA.2017.8463660 Search in Google Scholar

[5] K. Cpałka, M. Zalasiński, On-line signature verification using vertical signature partitioning, Expert Systems with Applications, 41, 4170-4180, 2014.10.1016/j.eswa.2013.12.047 Search in Google Scholar

[6] K. Cpałka, M. Zalasiński, L. Rutkowski, New method for the on-line signature verification based on horizontal partitioning, Pattern Recognition, 47, 2652-2661, 2014.10.1016/j.patcog.2014.02.012 Search in Google Scholar

[7] K. Cpałka, M. Zalasiński, L. Rutkowski, A new algorithm for identity verification based on the analysis of a handwritten dynamic signature, Applied Soft Computing, 43, 47-56, 2016.10.1016/j.asoc.2016.02.017 Search in Google Scholar

[8] S. Das, P. N. Suganthan, Differential Evolution: A Survey of the State-of-the-Art, IEEE Transactions on Evolutionary Computation, 15, 4-31, 2011.10.1109/TEVC.2010.2059031 Search in Google Scholar

[9] P. Duda, M. Jaworski, A. Cader, L. Wang, On Training Deep Neural Networks Using a Streaming Approach, Journal of Artificial Intelligence and Soft Computing Research, 10(1), 15-26, 2020, https://doi.org/10.2478/jaiscr-2020-0002. Search in Google Scholar

[10] P. Dziwiński, Ł. Bartczuk, J. Paszkowski, A new auto adaptive fuzzy hybrid particle swarm optimization and genetic algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10(2), 95-111, 2020, https://doi.org/10.2478/jaiscr-2020-0007. Search in Google Scholar

[11] P. Dziwiński, P. Przybył, P. Trippner, J. Paszkowski, Y. Hayashi, hardware implementation of a Takagi-Sugeno neuro-fuzzy system optimized by a population algorithm, Journal of Artificial Intelligence and Soft Computing Research, 11(3), 243-266, 2021, https://doi.org/10.2478/jaiscr-2021-0015. Search in Google Scholar

[12] J. Fierrez, J. Galbally, et al., BiosecurID: A Multimodal Biometric Database, Pattern Analysis and Applications, 13, 2, 235-246, 2010.10.1007/s10044-009-0151-4 Search in Google Scholar

[13] He, L., Tan, H. & Huang, ZC. Online handwritten signature verification based on association of curvature and torsion feature with Hausdorff distance. Multimed Tools Appl. 78, 19253-19278, 2019.10.1007/s11042-019-7264-6 Search in Google Scholar

[14] N. Houmani, A. Mayoue, S. Garcia-Salicetti, B. Dorizzi, M.I. Khalil, M.N. Moustafa, H. Abbas, D. Muramatsu, B. Yanikoglu, A. Kholmatov, M. Martinez-Diaz, J. Fierrez, J. Ortega-Garcia, J. Roure Alcobe, J. Fabregas, M. Faundez-Zanuy, J.M. Pascual-Gaspar, V. Cardenoso-Payo, Vivaracho-Pascual C., BioSecure signature evaluation campaign (BSEC’2009): Evaluating online signature algorithms depending on the quality of signatures, Pattern Recognition, 45, 993-1003, 2012.10.1016/j.patcog.2011.08.008 Search in Google Scholar

[15] H. Hu, J. Zheng, E. Zhan, J. Tang, Online signature verification based on a single template via elastic curve matching, Sensors, 19, 4858, 2019, https://doi.org/10.3390/s19224858.689175431703448 Search in Google Scholar

[16] M. Korytkowski, R. Senkerik, M.M. Scherer, R.A. Angryk, M. Kordos, A. Siwocha, Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic, Journal of Artificial Intelligence and Soft Computing Research, 10(1), 57-69, 2020, https://doi.org/10.2478/jaiscr-2020-0005. Search in Google Scholar

[17] C. Li, X. Zhang, F. Lin, Z. Wang, L. Jun’E, R. Zhang, H. Wang, A stroke-based RNN for writer-independent online signature verification, In 2019 International Conference on Document Analysis and Recognition (ICDAR), IEEE, 526-532, 2019.10.1109/ICDAR.2019.00090 Search in Google Scholar

[18] K. Łapa, K. Cpałka, A.I. Galushkin, A new interpretability criteria for neuro-fuzzy systems for nonlinear classification. In International Conference on Artificial Intelligence and Soft Computing, Springer, 448-468, 2015.10.1007/978-3-319-19324-3_41 Search in Google Scholar

[19] K. Łapa, K. Cpałka, Ł. Laskowski, A. Cader, Z. Zeng, Evolutionary Algorithm with a Configurable Search Mechanism, Journal of Artificial Intelligence and Soft Computing Research, 10(3), 151-171, 2020, https://doi.org/10.2478/jaiscr-2020-0011. Search in Google Scholar

[20] T. Niksa-Rynkiewicz, N. Szewczuk-Krypa, A. Witkowska, K. Cpałka, M. Zalasiński, A. Cader, Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network, Journal of Artificial Intelligence and Soft Computing Research, 11(2), 143-155, 2021, https://doi.org/10.2478/jaiscr-2021-0009. Search in Google Scholar

[21] J. Ortega-Garcia, J. Fierrez, et al., The Multi-Scenario Multi-Environment BioSecure Multi-modal Database (BMDB), IEEE Trans. on Pattern Analysis and Machine Intelligence, 32(6), 1097–1111, 2010.10.1109/TPAMI.2009.7620431134 Search in Google Scholar

[22] J. Ortega-Garcia, J. Fierrez, et al., MCYT Baseline Corpus: A Bimodal Biometric Database, IEEE Proc. Vision, Image and Signal Processing, 150(6), 395-401, 2003.10.1049/ip-vis:20031078 Search in Google Scholar

[23] M.E.H. Pedersen, Good parameters for differential evolution. Hvass Laboratories Technical Report, HL1002, 2010. Search in Google Scholar

[24] Y. Ren, C. Wang, Y. Chen, M. C. Chuah and J. Yang, Signature Verification Using Critical Segments for Securing Mobile Transactions, IEEE Transactions on Mobile Computing, 19(3), 724-739, 2020, doi: 10.1109/TMC.2019.2897657.10.1109/TMC.2019.2897657 Search in Google Scholar

[25] T. Rutkowski, K. Łapa, M. Jaworski, R. Nielek, D. Rutkowska, On explainable flexible fuzzy recommender and its performance evaluation using the Akaike information criterion, In International Conference on Neural Information Processing, Springer, 717-724, 2019.10.1007/978-3-030-36808-1_78 Search in Google Scholar

[26] J. Szczypta, A. Przybył, K. Cpałka, Some aspects of evolutionary designing optimal controllers, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, 7895, Springer, 91-100, 2013.10.1007/978-3-642-38610-7_9 Search in Google Scholar

[27] K.S. Tang, K.F. Man, S. Kwong, Q. He, Genetic algorithms and their applications, IEEE Signal Processing Magazine, 13, 6, 1996.10.1109/79.543973 Search in Google Scholar

[28] R. Tolosana et al., SVC-onGoing: Signature verification competition, Pattern Recognition, 127, 108609, 2022, https://doi.org/10.1016/j.patcog.2022.108609. Search in Google Scholar

[29] R. Tolosana, R. Vera-Rodriguez, J. Fierrez, J. Ortega-Garcia, Exploring Recurrent Neural Networks for On-Line Handwritten Signature Bio-metrics, IEEE Access, 6, 5128-5138, 2018, doi: 10.1109/ACCESS.2018.2793966.10.1109/ACCESS.2018.2793966 Search in Google Scholar

[30] R. Tolosana, R. Vera-Rodriguez, J. Fierrez, and J. Ortega-Garcia, DeepSign: Deep On-Line Signature Verification, IEEE Transactions on Biometrics, Behavior, and Identity Science, 3(2), 229-239, 2021.10.1109/TBIOM.2021.3054533 Search in Google Scholar

[31] M. Zalasiński, K. Cpałka, A new method of on-line signature verification using a flexible fuzzy one-class classifier, Academic Publishing House EXIT, 38-53, 2011. Search in Google Scholar

[32] M. Zalasiński, K. Cpałka, Novel algorithm for the on-line signature verification using selected discretization points groups, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, 7894, Springer, 493-502, 2013.10.1007/978-3-642-38658-9_44 Search in Google Scholar

[33] M. Zalasiński, K. Cpałka, New Algorithm for On-line Signature Verification Using Characteristic Hybrid Partitions, Advances in Intelligent Systems and Computing, 432, Springer, 147-157, 2013.10.1007/978-3-319-28567-2_13 Search in Google Scholar

[34] M. Zalasiński, K. Cpałka, Y. Hayashi, New method for dynamic signature verification based on global features, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, 8467, Springer, 251-265, 2014.10.1007/978-3-319-07176-3_21 Search in Google Scholar

[35] M. Zalasiński, K. Cpałka, Y. Hayashi, New fast algorithm for the dynamic signature verification using global features values, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, 9120, Springer, 175-188, 2015.10.1007/978-3-319-19369-4_17 Search in Google Scholar

[36] M. Zalasiński, K. Cpałka, Ł. Laskowski, D.C. Wunsch, K. Przybyszewski, An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors, Journal of Artificial Intelligence and Soft Computing Research, 10(3), 173-187, 2020, https://doi.org/10.2478/jaiscr-2020-0012. Search in Google Scholar

[37] M. Zalasiński, Krystian Łapa, K. Cpałka, New algorithm for evolutionary selection of the dynamic signature global features, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, 7895, Springer, 113-121, 2013.10.1007/978-3-642-38610-7_11 Search in Google Scholar

[38] M. Zalasiński, K. Łapa, K. Cpałka, K. Przybyszewski, G.G. Yen, On-Line Signature Partitioning Using a Population Based Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10(1), 5-13, 2020, https://doi.org/10.2478/jaiscr-2020-0001. Search in Google Scholar

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