Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
One of the most promising concepts for construct recognition systems is combined systems of patterns recognition. Its concept proposed by Zhuravlev Yu.I. In this combined systems of patterns recognitions objects description included the signs of different types of information (deterministic, probabilistic, logical or structural). In this case, a sufficiently large-scale and universal database is created to describe any recognition objects for a variety of conditions for their observation. But this concept does not provide high level of recognition authenticity. For eliminate this disadvantage may be used multi-parameter combined recognition systems where the signs have a different nature of occurrence. However, such systems also have a significant disadvantage: essential increase the number of information signs for the recognition objects. This article considered questions of the informative criteria and patterns ranking development for decision making in multi-parameter combined recognition systems. The proposed criteria allow at any time in the system’s life cycle to carry out selection of informative patterns for high level of recognition authenticity providing. The proposed approach of two-stage ranking of informative images for the object of recognition. It allows determine the further strategy of their analysis and decision-making. Determination informativity criteria is based on stationarity and non-stationarity distortions of object’s patterns when they are reflected on sign’s area. It allows for any patterns of recognition objects to use two criteria (stationarity and non-stationarity) for determination of informativity. At the first stage carry out a priori determining patterns informativity with stationary criteria and its information is base for second stage – a posteriori determining informativity by non-stationary criteria. These two stages allow make the choice most informativity patterns for next decision-making. It allows reduce the information field of analysis and speed up result obtaining. Also on the two-stage informativity determining based patterns ranking, which was proposed. For decision-making speed maximization informative patterns analysis is carried out in accordance with ranking and decreasing of informativity level. Thus, at any time of system’s life cycle, the decision-making is based on the most informativity patterns of recognition object.
  1. Simankov, V. S., Lutsenko, E. V., (1999), “Adaptive management of complex systems based on the theory of pattern recognition: Monography” [Adaptivnoe upravlenie slozhnymi sistemami na osnove teorii raspoznavaniya obrazov: Monografiya], Techn. univ. Kuban state technol. univ., Krasnodar, 318 p.
  2. Zakhozhay, О. І., (2013), “Information technology of patterns recognition in tasks of automation information processing and complex systems controlling. Problems of information technologies [Informatsiina tekhnolohiia rozpiznavannia obraziv v zadachakh avtomatyzovanoi obrobky informatsii y upravlinnia skladnymy systemamy. Problemy informatsiinykh tekhnolohii], vol. 01(013), pp. 61-68.
  3. Berger, M., (1998), A new parametric family of fuzzy connectives and their application to fuzzy control. Fuzzy Sets Syst, vol. 93, pp. 1-16.
  4. Dubois, D., Prade, H., Ughetto L., (1997), Checking the coherence and redundancy of fuzzy knowledge bases. IEEE Trans. on Fuzzy Systems, pp. 398-417.
  5. Ivanov, G. E., (1990), Modelling of information processing and controlling [Modelirovanie processov obrabotki informacii i upravleniya], MFTI, Moscow, 158 p.
  6. Zhuravlev, Yu. I, Ryazanov, V. V., Senko, O. V., (2005), Recognition. Mathematical methods. Programm System. Practical using [Metematicheskie metody. Programmnaya sistema. Practicheskie primeneniya], Phazis, Moscow, 159 p.
  7. Ryabenkyi, V. M., Zakhozhay, O. I., (2011), Combined systems of patterns recognition. Problems of information technologies [Kombinovani systemy rozpiznavannya obraziv. Problemy informatsiinykh tekhnolohii], vol. 1(009), pp. 152-157.
  8. Zakhozhay, O. I., Paerand, Yu. E., (2012), Basic aspects of structure organization of combined systems of patterns recognition. Bulletin of Kherson national technological university [Osnovni aspekty strukturnoi orhanizatsii kombinovanykh system rozpiznavannia obraziv. Visnyk Khersonskoho natsionalnoho tekhnolohichnoho universytetu], vol. 1(44), pp.221-225.
  9. Menyaylenko, O. S., Zakhozhay, O. I., (2013), The Combined systems of patterns recognition in monitoring temperature’s spatial distribution for coke pie. Electrotechnical and computer systems [Kombinovani systemy rozpiznavannia obraziv pry analizi prostorovoho rozpodilu temperatury koksovoho pyroha. Elektrotekhnichni ta kompiuterni systemy], vol. 12(88), pp. 147-154.
  10. Menyaylenko, O. S., Zakhozhay, O. I., Patient of Ukraine 90109 IPC (2014.01) G06/00 publ. 12.05.2014, bull. №9.
  11. Zakhozhay, О. І., (2013), Increasing of object’s recognition authenticity for condition of their reflection distortions presence in patterns space. Bulletin of Kherson national technological university [Pidvyshchennia dostovirnosti rozpiznavannia ob‘iektiv za umovy naiavnosti vykryvlen yikhnoho vidobrazhennia u prostori obraziv. Visnyk Khersonskoho natsionalnoho tekhnolohichnoho universytetu], vol. 1(46), pp. 144-148.
  12. Zakhozhay, О. І., (2013), The rational aggregate selection of informative patterns in the combined recognition systems. Electrotechnical and computer systems [Selektsiia ratsionalnoi sukupnosti obraziv v kombinovanykh systemakh rozpiznavannia. Elektrotekhnichni ta kompiuterni systemy], vol. 09(85), pp. 186-192.
  13. Zakhozhay, О. І., (2007), Definition of a projective structure and motion according to binocular correspondences in systems of technical vision. Bulletin of Donbass state technical university [Opredelenye proektyvnoi struktury y dvyzhenyia po bynokulyarnym sootvetstviyam v systemakh tekhnycheskoho zrenyia. Sbornik nauchnykh trudov Donbasskoho hosudarstvennoho tekhnycheskoho universiteta.]. vol. 25, pp. 243-249.
  14. Menyaylenko, O. S., Zakhozhay, O. I., (2014), The information technology of automated data processing in the multi-channel ultrasonic measurement systems. Research bulletin of National technical university of Ukraine “Kyiv polytechnic institute” [Informatsiina tekhnolohiia avtomatyzo-vanoi obrobky danykh v bahatokanalnykh systemakh ultrazvukovoho vymiriuvannia. Naukovi visti Natsionalnoho tekhnichnoho universytetu Ukrainy “Kyivskyi politekhnichnyi instytut»], vol. 6(98), pp. 62-67.
Last download:
22 Aug 2019

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014-2018. Any use of information from the site is possible only under the condition that the source link! ]