ALGORITHM FOR TRANSLATION OF TEXTS IN IMAGES TAKEN WITH A SMARTPHONE
Keywords:
OCR, Image Preprocessing, Text Localization, Text Extraction, Convolutional Neural Networks, LSTM, RNN
Abstract
This article presents an algorithm for translating texts in images taken with a smartphone. The algorithm involves image preprocessing, text localization, text extraction, optical character recognition (OCR), and language translation. It utilizes advanced techniques such as Stroke Width Transform (SWT), OCR algorithms, and statistical machine translation models. The algorithm enables real-time and accurate translation, bridging language barriers and enhancing cross-language communication.
This article presents an algorithm for translating texts in images taken with a smartphone. The algorithm involves image preprocessing, text localization, text extraction, OCR, and language translation. It utilizes advanced techniques such as SWT, OCR algorithms, and statistical machine translation models. The algorithm enables real-time and accurate translation, bridging language barriers and enhancing cross-language communication.
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2. Dilnoz Muhamediyeva, Nodir Egamberdiyev. An application of Gauss neutrosophic numbers in medical diagnosis // International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities http://www.icisct2021.org/ ICISCT 2021, November 3-5, 2021.
3. Kamilov M.М., Khujaev O.K., Egamberdiev N.A. The method of applying the algorithm of calculating grades for finding similar diagnostics in medical information systems, International Journal of Innovative Technology and Exploring Engineering, 8-6S, pp. 722-724.
4. Muhamediyeva D.T., Jurayev Z.Sh., Egamberdiyev N.A., Qualitative analysis of mathematical models based on Z-number // Proceedings of the Joint International Conference STEMM: Science – Technology – Education – Mathematics – Medicine. May 16-17, 2019, Tashkent, pp.42-43.
5. Egamberdiyev N.A., FUZZY REGRESSION ALGORITHM FOR CLASSIFICATION OF WEAKLY FORMED PROCESSES // SCIENCE AND PRACTICE: IMPLEMENTATION TO MODERN SOCIETY MANCHESTER, GREAT BRITAIN, 26-28.12.2020.
6. D.Mukhamediyeva, N.Egamberdiev, ALGORITHM OF CLASSIFICATION OF MEDICAL OBJECTS ON THE BASIS OF NEUTROSOPHIC NUMBERS, Proceedings of the 4th International Scientific and Practical Conference SCIENCE, EDUCATION, INNOVATION: TOPICAL ISSUES AND MODERN ASPECTS TALLINN, ESTONIA, 4-5.10.2021, pp. 374-380.
7. Mukhamedieva D.T., Egamberdiev N.A., Zokirov J.Sh., Mathematical support for solving the classification problem using neural network algorithms // Turkish Journal of Computer and Mathematics Education. Vol.12 No.10 (2021).
8. D.T.Mukhamedieva and N.A.Egamberdiev, APPROACHES TO SOLVING OPTIMIZATION TASKS BASED ON NATURAL CALCULATION ALGORITHMS, Scientific-technical journal, 3(2) 2020, pp. 58-67.
9. N.A.Egamberdiev, O.T.Xolmuminov, X.R.Ochilov, ANALYSIS OF CLASSICAL MODELS OF CLASSIFICATION OF SLOWLY FORMED PROCESSES, International Scientific-Online Conference: SOLUTION OF SOCIAL PROBLEMS IN MANAGEMENT AND ECONOMY”, Spain, October 7, 2022, pp.12-16.
10. N.A.Egamberdiev, O.T.Xolmuminov, X.R.Ochilov, CHOOSING AN EFFICIENT ALGORITHM FOR SOLVING THE CLASSIFICATION PROBLEM, International Scientific Online Conference: THEORETICAL ASPECTS IN THE FORMATION OF PEDAGOGICAL SCIENCES, October 10, 2022, pp.154-158.
11. D.Muhamedieva, N.Egamberdiev, O.Xolmuminov, APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR CREDIT RISK ASSESSMENT, «Science and innovation» xalqaro ilmiy jurnali. 2022, 6-soni. 388-395 betlar.
12. D.Muhamediyeva, N.Egamberdiyev, An application of Gauss neutrosophic numbers in medical diagnosis, International Conference on Information Science and Communications Technologies ICISCT 2021, Tashkent, Uzbekistan, 2021, pp. 1-4.
13. D.Muhamediyeva, N.Egamberdiyev, A.Bozorov, FORECASTING RISK OF NON-REDUCTION OF HARVEST, Proceedings of the 2nd International Scientific and Practical Conference, SCIENTIFIC COMMUNITY: INTERDISCIPLINARY RESEARCH, Hamburg, Germany, 26-28.01.2021, pp.694-698.
14. Ф.Нуралиев, О.Нарзуллоев, Н.Эгамбердиев, С.Тастанова, V Международная научно-практическая конференция, RECENT SCIENTIFIC INVESTIGATION, Осло, Норвегия, 26-28 апреля, 2022, c. 447-451.
15. Мухамедиева Д.Т., Эгамбердиев Н.А., Подходы к решению задач оптимизации на основе алгоритмов природных вычислений, Фарғона политехника институти илмий-техника журнали, 2020, Том 24, №2, c. 75-84.
16. N.A.Egamberdiyev, M.M.Kamilov, A.Sh.Hamroyev, O‘quv tanlamalar uchun k-o‘lchovli fiksirlangan tayanch to‘plamlar tizimini aniqlash algoritmini ishlab chiqish, Muhammad al-xorazmiy avlodlari, 1(7) 2019, 45-48 betlar.
17. Xo‘jayev O.Q., N.A.Egamberdiyev, Sh.N.Saidrasulov, Sinflarga ajratish masalasini yechishda samarali usulni tanlash algoritmi, Axborotkommunikasiyalar: Tarmoqlar, Texnologiyalar, Yyechimlar. 1(49)2019. Har choraklik ilmiy-texnik jurnal, 39-43 betlar.
Published
2023-08-17
How to Cite
N. A., E., M. R., B., & U. N., X. (2023). ALGORITHM FOR TRANSLATION OF TEXTS IN IMAGES TAKEN WITH A SMARTPHONE. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(8), 54-62. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/498
Section
Articles
