| DC Field | Value | Language |
|---|
| dc.contributor.author | Durnyak, Bohdan | |
| dc.contributor.author | Oleksandr Tymchenko Jr. | |
| dc.contributor.author | Tymchenko, Oleksandr | |
| dc.contributor.author | Havrysh, Bohdana | |
| dc.coverage.temporal | 21-25 August 2018, Lviv | |
| dc.date.accessioned | 2020-06-19T12:04:40Z | - |
| dc.date.available | 2020-06-19T12:04:40Z | - |
| dc.date.created | 2018-02-28 | |
| dc.date.issued | 2018-02-28 | |
| dc.identifier.citation | Applying the Neuronetchic Methodology to Text Images for their Recognition / Bohdan Durnyak, Oleksandr Tymchenko Jr., Oleksandr Tymchenko, Bohdana Havrysh // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 584–589. — (Machine Vision and Pattern Recognition). | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.isbn | © Національний університет „Львівська політехніка“, 2018 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52451 | - |
| dc.description.abstract | There is considered the methodology for
recognizing text images based on neural networks, methods
and algorithms for building a neuro-fuzzy system for
recognizing text images, in particular methods for improving
the quality of text images and reducing noise through linear
and nonlinear filtration. Features of binarization of such
images, fuzzy processing of images to allocate boundaries and
segmentation of symbols, and the ability to implement
grammar for the structural recognition of text images is
shown. The simulation of the developed system is also carried out. | |
| dc.format.extent | 584-589 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 | |
| dc.subject | OCR system | |
| dc.subject | fuzzy image processing | |
| dc.subject | neural networks | |
| dc.title | Applying the Neuronetchic Methodology to Text Images for their Recognition | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2018 | |
| dc.contributor.affiliation | Ukrainian Graphic Arts Academy | |
| dc.contributor.affiliation | Ukrainian Academy of Printing | |
| dc.contributor.affiliation | University of Warmia and Mazury | |
| dc.format.pages | 6 | |
| dc.identifier.citationen | Applying the Neuronetchic Methodology to Text Images for their Recognition / Bohdan Durnyak, Oleksandr Tymchenko Jr., Oleksandr Tymchenko, Bohdana Havrysh // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 584–589. — (Machine Vision and Pattern Recognition). | |
| dc.relation.references | [1] S. Kumar, S. Chandrakar, A. Panigrahi and S. K. Singh, "Muzzle point pattern recognition system using image pre-processing techniques," 2017 Fourth International Conference on Image Information Processing (ICIIP), Shimla, India, pp. 1-6, 2017. | |
| dc.relation.references | [2] J. R. Balbin, M. P. Sejera, C. O. A. Martinez, N. A. M. Cataquis, L. M. H. Ontog and J. K. Toribio, "Cloud based color coding scheme violator plate detection through character recognition using image processing," 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, pp. 253-257, 2017. | |
| dc.relation.references | [3] S. Antoshchuk, "The automatizated systems with the visual information processing design," International Conference Modern Problems of Radio Engineering, Telecommunications and Computer Science, Lviv-Slavsko, Ukraine, 2004, pp. 268, 2004 | |
| dc.relation.references | [4] Y. Cao, T. Zhang, S. Zhang and B. Luo, "Forward scattering bistatic radar imaging method and practice data processing," in Journal of Systems Engineering and Electronics, vol. 22, no. 2, pp. 206-211, April 2011. | |
| dc.relation.references | [5] S. Słomiński, "Potential resource of mistakes existing while using the modern methods of measurement and calculation in the glare evaluation," IEEE Lighting Conference of the Visegrad Countries (Lumen V4), Karpacz, pp. 1-5, 2016. | |
| dc.relation.references | [6] I. Kalaykov and G. Tolt, "Fast fuzzy signal and image processing hardware," 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622), pp. 7-12, 2002. | |
| dc.relation.references | [7] L. Dorosinskiy and F. Myasnikov, "Radarsignal classification algorythms synthesis and analysis," IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, pp. 119-122, 2017. | |
| dc.relation.references | [8] P. Marino, V. Pastoriza, M. Santamarfa and E. Martinez, "Fuzzy image processing in quality control application," Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), pp. 55-60, 2005. | |
| dc.relation.references | [9] M. I. Chacon, L. Aguilar and A. Delgado, "Definition and applications of a fuzzy image processing scheme," IEEE 10th Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop., pp. 102-107, 2002. | |
| dc.relation.references | [10] P. Melin, C. I. Gonzalez, J. R. Castro, O. Mendoza and O. Castillo, "Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic," in IEEE Transactions on Fuzzy Systems, vol. 22, no. 6, pp. 1515-1525, Dec. 2014. | |
| dc.relation.references | [11] R. Chellappa et al., "Towards the design of an end-to-end automated system for image and video-based recognition," 2016 Information Theory and Applications Workshop (ITA), La Jolla, CA, pp. 1-7, 2016. | |
| dc.relation.references | [12] D. Peleshko, T. Rak, and I. Izonin, "Image Superresolution via Divergence Matrix and Automatic Detection of Crossover," International Journal of Intelligent Systems and Applications (IJISA), vol.8, no.12, pp.1-8, 2016. DOI: 10.5815/ijisa.2016.12.01 | |
| dc.relation.references | [13] N. Ito and M. Hagiwara, "Image description generation without image processing using fuzzy inference," IEEE International Conference on Fuzzy Systems, Brisbane, QLD, pp. 1-8, 2012. | |
| dc.relation.references | [14] L. Vivona et al., "Unsupervised clustering method for pattern recognition in IIF images," 2016 International Image Processing, Applications and Systems (IPAS), Hammamet, pp. 1-6, 2016. | |
| dc.relation.references | [15] Z. Qu, G. Xiao, N. Xu, Z. Diao and H. Jia-Zhou, "A novel night vision image color fusion method based on scene recognition," 2016 19th International Conference on Information Fusion (FUSION), Heidelberg, pp. 1236-1243, 2016. | |
| dc.relation.references | [16] J. Calvo-Zaragoza, A. H. Toselli and E. Vidal, "Handwritten Music Recognition for Mensural Notation: Formulation, Data and Baseline Results," 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, pp. 1081-1086, 2017. | |
| dc.relation.references | [17] E. Tapia and R. Rojas, "Recognition of on-line handwritten mathematical formulas in the E-chalk system," Seventh International Conference on Document Analysis and Recognition, pp. 980-984, 2003. | |
| dc.relation.references | [18] F. Rousset, N. Ducros and F. Peyrin, "A Semi Nonnegative Matrix Factorization Method for Pattern Generalization in Single-Pixel Imaging," in IEEE Transactions on Computational Imaging, vol. PP, no. 99, pp. 1-1, 2018. | |
| dc.relation.references | [19] F. Alvaro, J. A. S´nchez and J. M. Benedi, "Recognition of Printed Mathematical Expressions Using Two-Dimensional Stochastic Context-Free Grammars," 2011 International Conference on Document Analysis and Recognition, Beijing, pp. 1225-1229, 2011. | |
| dc.relation.references | [20] K. G. Subramanian, M. Geethalakshmi, A. K. Nagar and S. K. Lee, "Two-dimensional Picture Grammar models," 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, Liverpool, pp. 263-267, 2008. | |
| dc.relation.referencesen | [1] S. Kumar, S. Chandrakar, A. Panigrahi and S. K. Singh, "Muzzle point pattern recognition system using image pre-processing techniques," 2017 Fourth International Conference on Image Information Processing (ICIIP), Shimla, India, pp. 1-6, 2017. | |
| dc.relation.referencesen | [2] J. R. Balbin, M. P. Sejera, C. O. A. Martinez, N. A. M. Cataquis, L. M. H. Ontog and J. K. Toribio, "Cloud based color coding scheme violator plate detection through character recognition using image processing," 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, pp. 253-257, 2017. | |
| dc.relation.referencesen | [3] S. Antoshchuk, "The automatizated systems with the visual information processing design," International Conference Modern Problems of Radio Engineering, Telecommunications and Computer Science, Lviv-Slavsko, Ukraine, 2004, pp. 268, 2004 | |
| dc.relation.referencesen | [4] Y. Cao, T. Zhang, S. Zhang and B. Luo, "Forward scattering bistatic radar imaging method and practice data processing," in Journal of Systems Engineering and Electronics, vol. 22, no. 2, pp. 206-211, April 2011. | |
| dc.relation.referencesen | [5] S. Słomiński, "Potential resource of mistakes existing while using the modern methods of measurement and calculation in the glare evaluation," IEEE Lighting Conference of the Visegrad Countries (Lumen V4), Karpacz, pp. 1-5, 2016. | |
| dc.relation.referencesen | [6] I. Kalaykov and G. Tolt, "Fast fuzzy signal and image processing hardware," 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622), pp. 7-12, 2002. | |
| dc.relation.referencesen | [7] L. Dorosinskiy and F. Myasnikov, "Radarsignal classification algorythms synthesis and analysis," IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, pp. 119-122, 2017. | |
| dc.relation.referencesen | [8] P. Marino, V. Pastoriza, M. Santamarfa and E. Martinez, "Fuzzy image processing in quality control application," Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), pp. 55-60, 2005. | |
| dc.relation.referencesen | [9] M. I. Chacon, L. Aguilar and A. Delgado, "Definition and applications of a fuzzy image processing scheme," IEEE 10th Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop., pp. 102-107, 2002. | |
| dc.relation.referencesen | [10] P. Melin, C. I. Gonzalez, J. R. Castro, O. Mendoza and O. Castillo, "Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic," in IEEE Transactions on Fuzzy Systems, vol. 22, no. 6, pp. 1515-1525, Dec. 2014. | |
| dc.relation.referencesen | [11] R. Chellappa et al., "Towards the design of an end-to-end automated system for image and video-based recognition," 2016 Information Theory and Applications Workshop (ITA), La Jolla, CA, pp. 1-7, 2016. | |
| dc.relation.referencesen | [12] D. Peleshko, T. Rak, and I. Izonin, "Image Superresolution via Divergence Matrix and Automatic Detection of Crossover," International Journal of Intelligent Systems and Applications (IJISA), vol.8, no.12, pp.1-8, 2016. DOI: 10.5815/ijisa.2016.12.01 | |
| dc.relation.referencesen | [13] N. Ito and M. Hagiwara, "Image description generation without image processing using fuzzy inference," IEEE International Conference on Fuzzy Systems, Brisbane, QLD, pp. 1-8, 2012. | |
| dc.relation.referencesen | [14] L. Vivona et al., "Unsupervised clustering method for pattern recognition in IIF images," 2016 International Image Processing, Applications and Systems (IPAS), Hammamet, pp. 1-6, 2016. | |
| dc.relation.referencesen | [15] Z. Qu, G. Xiao, N. Xu, Z. Diao and H. Jia-Zhou, "A novel night vision image color fusion method based on scene recognition," 2016 19th International Conference on Information Fusion (FUSION), Heidelberg, pp. 1236-1243, 2016. | |
| dc.relation.referencesen | [16] J. Calvo-Zaragoza, A. H. Toselli and E. Vidal, "Handwritten Music Recognition for Mensural Notation: Formulation, Data and Baseline Results," 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, pp. 1081-1086, 2017. | |
| dc.relation.referencesen | [17] E. Tapia and R. Rojas, "Recognition of on-line handwritten mathematical formulas in the E-chalk system," Seventh International Conference on Document Analysis and Recognition, pp. 980-984, 2003. | |
| dc.relation.referencesen | [18] F. Rousset, N. Ducros and F. Peyrin, "A Semi Nonnegative Matrix Factorization Method for Pattern Generalization in Single-Pixel Imaging," in IEEE Transactions on Computational Imaging, vol. PP, no. 99, pp. 1-1, 2018. | |
| dc.relation.referencesen | [19] F. Alvaro, J. A. S´nchez and J. M. Benedi, "Recognition of Printed Mathematical Expressions Using Two-Dimensional Stochastic Context-Free Grammars," 2011 International Conference on Document Analysis and Recognition, Beijing, pp. 1225-1229, 2011. | |
| dc.relation.referencesen | [20] K. G. Subramanian, M. Geethalakshmi, A. K. Nagar and S. K. Lee, "Two-dimensional Picture Grammar models," 2008 Second UKSIM European Symposium on Computer Modeling and Simulation, Liverpool, pp. 263-267, 2008. | |
| dc.citation.conference | IEEE second international conference "Data stream mining and processing" | |
| dc.citation.spage | 584 | |
| dc.citation.epage | 589 | |
| dc.coverage.placename | Львів | |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference
|
