Abstract
Typical pattern recognition problem consists in assigning of a given object (result of observation) to one of previously defined similarity classes of objects. The problem has an unique solution if the classes are disjoint; otherwise it may happen that the considered object can be assigned to a class only on a limited certainty level. A more general problem arises if the object being to be recognized has not been described with a full accuracy. The situations of uncertainty consisting in missing some components of objects description and in inaccuracy of some objects’ features or parameters description are considered. An approach to the solution of the ill-described objects recognition based on the concepts of relative logic is proposed. This makes the proposed approach closer to a natural human decision making supported by intuition and, as such, useful in the case of uncertainty concerning the input data of the recognition problem.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Kulikowski, J.L., Przytulska, M.: Pattern recognition based on similarity in linear semi-ordered spaces. In: Corchado, E., Kurzyński, M., Woźniak, M. (eds.) HAIS 2011. LNCS (LNAI), vol. 6678, pp. 22–29. Springer, Heidelberg (2011). doi:10.1007/978-3-642-21219-2_3
Kulikowski, J.L.: Object recognition based on comparative similarity assessment. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds.) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. AISC, vol. 403, pp. 243–253. Springer, Cham (2016). doi:10.1007/978-3-319-26227-7_23
Abate, A.F., Nappi, M., Riccio, D., Sabatino, G.: 2D and 3D face re cognition: a survey. Pattern Recogn. Lett. 28(14), 1885–1906 (2007)
Choraś, R.S.: Iris recognition. In: Kurzynski, M., Wozniak, M. (eds.) Computer Recognition Systems 3. AISC, vol. 57, pp. 593–600. Springer, Heidelberg (2009). doi:10.1007/978-3-540-93905-4_69
Kubanek, M.: Automatic methods for determining the characteristic points in face image. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS (LNAI), vol. 6113, pp. 523–530. Springer, Heidelberg (2010). doi:10.1007/978-3-642-13208-7_65
Russ, J.C.: The Image Processing Handbook, 6th edn. CRC Press, Boca Raton (2011)
Pratt, W.K.: Digital Image Processing. Wiley, New York (2007)
Pitas, I.: Digital Image Processing Algorithms and Applications. A Wiley Interscience Publication, New York (2013)
Kulikowski J.L. Topological logic and fuzzy sets - a comparison of methods (in Polish). In: Chojcan, J., Łeski, J. (eds.): Zbiory rozmyte i ich zastosowania, pp. 195–516. Wyd. Pol. Śl., Gliwice (2001)
Hough, P.V.C.: Machine analysis of buble chamber picture. In: Proceedings of International Conference of High Energy Accelerators and Instrumentation, CERN (1959)
Grzymala-Busse, W.J.: Handling missing attribute values. In: Maimon, O., Rokach, L. (eds.) The Data Mining and Knowledge Discovery Handbook, p. 3557 (2005)
Rudeanu, S.: Sets and Ordered Structures, pp. 1–10. Bentham Science Publishers, Oak Park (2012)
Pedrycz, W.: Fuzzy Control and Fuzzy Systems. Wiley–Interscience, New York (1993)
Pawlak, Z.: Rough Sets–Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)
Hempel, C.G.: A purely topological form of non-Aristotelian logic. J. Symb. Logic 2(3) (1937)
Kulikowski, J.L.: Computer-aided relative assessment of complex effects of decisions. In: S. Hippe, Z., L. Kulikowski, J., Mroczek, T., Wtorek, J. (eds.) Issues and Challenges in Artificial Intelligence. SCI, vol. 559, pp. 101–113. Springer, Cham (2014). doi:10.1007/978-3-319-06883-1_9
Kulikowski, J.L.: Rozpoznawanie obrazów (in Polish). In: Chmielewski, L., et al. (ed.) Obrazowanie biomedyczne. Biocybernetyka i Inżynieria Biomedyczna 2000, pp. 193–237. AOW Exit, Warsaw (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Kulikowski, J.L. (2018). Recognition of Fuzzy or Incompletely Described Objects. In: Kurzynski, M., Wozniak, M., Burduk, R. (eds) Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017. CORES 2017. Advances in Intelligent Systems and Computing, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-59162-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-59162-9_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59161-2
Online ISBN: 978-3-319-59162-9
eBook Packages: EngineeringEngineering (R0)