%0 Journal Article %1 noauthororeditor %A |, Egamberdiev N. A. | Berdiyev M. R | Xafizadinov U. N. %D 2023 %J CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES %K Convolutional Extraction, Image Localization, NetworksLSTM, Neural OCR, Preprocessing, RNN Text %N 8 %P 54-62 %T ALGORITHM FOR TRANSLATION OF TEXTS IN IMAGES TAKEN WITH A SMARTPHONE %U https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/498/554 %V 4 %X 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.

@article{noauthororeditor, 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.}, added-at = {2024-02-26T11:13:46.000+0100}, author = {|, Egamberdiev N. A. | Berdiyev M. R | Xafizadinov U. N.}, biburl = {https://www.bibsonomy.org/bibtex/2c0822be51b4020bd656c9604853126af/centralasian_20}, interhash = {fb962eb3e0697740ed1358490fca471b}, intrahash = {c0822be51b4020bd656c9604853126af}, issn = {2660-5309}, journal = {CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES}, keywords = {Convolutional Extraction, Image Localization, NetworksLSTM, Neural OCR, Preprocessing, RNN Text}, language = {english}, month = aug, number = 8, pages = {54-62}, timestamp = {2024-02-26T11:13:46.000+0100}, title = {ALGORITHM FOR TRANSLATION OF TEXTS IN IMAGES TAKEN WITH A SMARTPHONE}, url = {https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/498/554}, volume = 4, year = 2023 }