INFORMATION TECHNOLOGY FOR RECOGNITION OF THE NUMBER ON THE HOT METAL TRANSFER LADLE

Authors

  • A. V. Sergienko Priazovskyi State Technical University, Mariupol, Ukraine, Ukraine
  • A. A. Kargin Donecki National University, Doneck, Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2013-2-23

Keywords:

image, brightness function, filtration, binarization, clusterization, segment, identification, indistinct representation, prototype.

Abstract

The article describes the information technology for recognition of the number on the hot metal transfer ladle. Processing stages have been identified and described: preliminary processing, localization and number identification. The filtration and incomplete thresholding by means of global binarization with an automatic choice of a threshold have been analyzed. Localization is executed by a single linkage (the nearest neighbour) method with the modified windowing search algorithm. After localization area has been identified, a segment is generated. Identification is accomplished by means of a unique method, which is based on an indistinct representation of images and their comparison with indistinct standards. Combining in a characteristic point the segment which is being analyzed with a prototype segment kernels are formed. Those are then fractured into blocks. Based on these blocks two fuzzy sets are obtained – one for the segment that is being analyzed and one for the prototype. For these sets the relative Hamming distance is then calculated. The calculated value shows the degree of similarity of the segments. During the tests it was proved that the Hamming distance for the segments with identical numbers is 0,01÷0,16, whereas for the segments with numbers of different ladles it is 0,26÷0,49, which is enough for a successful identification of a ladle by the image of its number.

References

Te’rano T. Asai K., Suge’no M. Pricladny’e nechetkie sistemy’, Per. s iapon. Iu. N. Cherny’shova. Moscow, Mir, 1993, 368 p.

Arlazarov V. L., Troianker V. V., Kotovich N. V. Adaptivnoe raspoznavanie simvolov [E’lektronny’i’ resurs], Rezhim dostupa k stat’e, http://www.cuneiform.ru/tech/adaptive.html

Vasiura A. S., Marty’niuk T. B., Coopershtei’n L. M. Modelirovanie nei’roseti dlia resheniia zadachi identifikatcii simvolov [E’lektronny’i’ resurs], Naukovі pratcі VNTU, 2007, No. 1, Rezhim dostupa k stat’e: www.nbuv.gov.ua/e-journals/VNTU/2007-1/ru/07vasosi_ru.pdf

Zhang L., Lu Y., Tan C. L. Italic Font Recognition Using Stroke Pattern Analysis on Wave-let Decomposed Word Images, The 17th International Conference on Pattern Recognition, ICPR2004, Cambridge, United Kingdom, 23–26 August 2004, vol. 4, pp. 835–838, Rezhim dostupa k stat’e www.comp.nus.edu.sg/~tancl/Papers/ICPR04/Italic_DIAL2004.pdf

Smirnov A. E. Metod raspoznavaniia nomera vagona s pomoshch’iu mehanizma nechetkogo vy’voda, Vestneyk RGRTU, 2007, Vy’p. 22, pp. 24–27.

Raspoznavanie nomerov vagonov, Tranzit-Inspektor URL: http://www.iss.ru/products/transit/ (data obrashcheniia: 07.07.2013).

Downloads

Published

2013-08-13

How to Cite

Sergienko, A. V., & Kargin, A. A. (2013). INFORMATION TECHNOLOGY FOR RECOGNITION OF THE NUMBER ON THE HOT METAL TRANSFER LADLE. Radio Electronics, Computer Science, Control, (2). https://doi.org/10.15588/1607-3274-2013-2-23

Issue

No. 2 (2013): Radio Electronics, Computer Science, Control

Section

Progressive information technologies

License

Copyright (c) 2014 A. V. Sergienko, A. A. Kargin

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons Licensing Notifications in the Copyright Notices

The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.

The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.

The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.