Academic literature on the topic 'Tesseract.js'

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Journal articles on the topic "Tesseract.js"

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M K, Akash. "Smart Education: An English Text-to- Indian Regional Language Translator." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47376.

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ABSTRACT Communication and learning are fundamental to education, but language barriers often hinder access to quality resources for non-English speakers in India. Smart Education is a modern web-based translation tool designed to convert educational content from English to Indian regional languages such as Hindi, Kannada, Tamil, and Telugu. With multilingual support, the tool leverages advanced technologies like Tesseract.js for image text extraction, Mammoth.js for DOCX files, PDF.js, and the MyMemory API for accurate translation. It supports various formats including text, Word documents, P
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Ketterer, David. "Tesseracts." Science Fiction Studies 22, Part 2 (1995): 299–301. https://doi.org/10.1525/sfs.22.2.0299a.

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Aravind, P. K. "The magic tesseracts and Bell’s theorem." American Journal of Physics 69, no. 3 (2001): 348–53. http://dx.doi.org/10.1119/1.1313518.

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Greene, Kenton, Christian Hansen, B. Barry Narod, Richard Dvorsky, and David M. Miles. "Tesseract – a high-stability, low-noise fluxgate sensor designed for constellation applications." Geoscientific Instrumentation, Methods and Data Systems 11, no. 2 (2022): 307–21. http://dx.doi.org/10.5194/gi-11-307-2022.

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Abstract. Accurate high-precision magnetic field measurements are a significant challenge for many applications, including constellation missions studying space plasmas. Instrument stability and orthogonality are essential to enable meaningful comparison between disparate satellites in a constellation without extensive cross-calibration efforts. Here we describe the design and characterization of Tesseract – a fluxgate magnetometer sensor designed for low-noise, high-stability constellation applications. Tesseract's design takes advantage of recent developments in the manufacturing of custom l
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Sims, Christopher. "Formation of Tesseract Time Crystals on a Quantum Computer." Crystals 13, no. 8 (2023): 1265. http://dx.doi.org/10.3390/cryst13081265.

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The engineering of new states of matter through Floquet driving has revolutionized the field of condensed matter physics. This technique enables the creation of hybrid topological states and ordered phases that are absent in normal systems. Crystalline structures, exemplifying spatially ordered systems under periodic driving, have been extensively studied. However, recent focus has shifted towards discrete time crystals (DTCs), periodically driven quantum many-body systems that break time translation symmetry under specific conditions. In this paper, the model of discrete time crystals is exte
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Baruah, Priyankush Kaushik, and Dr Pranabjyoti Haloi. "Development and Implementation of a Custom License Plate Detection and Recognition System Using YOLOv10 and Tesseract OCR: A Comprehensive Study in Computer Vision and Optical Character Recognition Technologies." International Journal of Innovative Technology and Exploring Engineering 14, no. 6 (2025): 20–26. https://doi.org/10.35940/ijitee.e1083.14060525.

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This study presents an automated license plate detection and recognition system, combining YOLOv10 for Realtime object detection and Tesseract OCR for robust text extraction. The methodology involves training a customised YOLOv10 model on annotated vehicle datasets to localize license plates, followed by region-of-interest (ROI) filtering to enhance accuracy. Detected plates are processed with Tesseract OCR to convert visual data into machine-readable text. Evaluated using precision, recall, and inference speed metrics, the system achieves 97 Parsant detection accuracy and real-time performanc
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Balasubramanian, Krishnan. "Recursive Symmetries: Chemically Induced Combinatorics of Colorings of Hyperplanes of an 8-Cube for All Irreducible Representations." Symmetry 15, no. 5 (2023): 1031. http://dx.doi.org/10.3390/sym15051031.

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We outline symmetry-based combinatorial and computational techniques to enumerate the colorings of all the hyperplanes (q = 1–8) of the 8-dimensional hypercube (8-cube) and for all 185 irreducible representations (IRs) of the 8-dimensional hyperoctahedral group, which contains 10,321,920 symmetry operations. The combinatorial techniques invoke the Möbius inversion method in conjunction with the generalized character cycle indices for all 185 IRs to obtain the generating functions for the colorings of eight kinds of hyperplanes of the 8-cube, such as vertices, edges, faces, cells, tesseracts, a
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Chesley, Emily, Jillian Marcantonio, and Abigail Pearson. "Towards Syriac Digital Corpora: Evaluation of Tesseract 4.0 for Syriac OCR." Hugoye: Journal of Syriac Studies 22, no. 1 (2019): 109–92. http://dx.doi.org/10.31826/hug-2019-220105.

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Abstract This paper summarizes the results of an extensive test of Tesseract 4.0, an open-source Optical Character Recognition (OCR) engine with Syriac capabilities, and ascertains the current state of Syriac OCR technology. Three popular print types (S14, W64, and E22) representing the Syriac type styles Estrangela, Serto, and East Syriac were OCRed using Tesseract’s two different OCR modes (Syriac Language and Syriac Script). Handwritten manuscripts were also preliminarily tested for OCR. The tests confirm that Tesseract 4.0 may be relied upon for printed Estrangela texts but should be used
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Benaissa, Ali, Abdelkhalak Bahri, Ahmad El Allaoui, and My Abdelouahab Salahddine. "Build a Trained Data of Tesseract OCR engine for Tifinagh Script Recognition." Data and Metadata 2 (December 9, 2023): 185. http://dx.doi.org/10.56294/dm2023185.

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This article introduces a methodology for constructing a trained dataset to facilitate Tifinagh script recognition using the Tesseract OCR engine. The Tifinagh script, widely used in North Africa, poses a challenge due to the lack of built-in recognition capabilities in Tesseract. To overcome this limitation, our approach focuses on image generation, box generation, manual editing, charset extraction, and dataset compilation. By leveraging Python scripting, specialized software tools, and Tesseract's training utilities, we systematically create a comprehensive dataset for Tifinagh script recog
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Padmaja, G., Swetha Pesaru, Desidi Narsimha Reddy, D. Anitha Kumari, and Shiva Prasad Maram. "Robust Vehicle Number Plate Text Recognition and Data Analysis Using Tesseract Ocr." ITM Web of Conferences 74 (2025): 01009. https://doi.org/10.1051/itmconf/20257401009.

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To detect the vehicle number plate the system should understand the character and integers determined on vehicles. The proposed methodology holds three phases: pre-process, extraction of features and recognition of text. These phases include some operations like grey scale, adaptive threshold, morphological for extraction of characters and numbers from different quality of the images in pre-processing stage. By transforming the images to grey scale, this can remove the extraneous colours and extracts the appropriate values. In morphological removes the borders and removes the background noises
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Dissertations / Theses on the topic "Tesseract.js"

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M'Begnan, Nagnan Arthur. "Développement d'outils web de détection d'annotations manuscrites dans les imprimés anciens." Thèse, 2021. http://depot-e.uqtr.ca/id/eprint/9663/1/eprint9663.pdf.

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Books on the topic "Tesseract.js"

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1923-1997, Merril Judith, ed. Tesseracts. Press Porcépic, 1988.

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1926-, Gotlieb Phyllis, and Barbour Douglas 1940-, eds. Tesseracts 2. Porcʹepic Books, 1987.

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Jane, Dorsey Candas, and Truscott Gerry 1955-, eds. Tesseracts 3. Porcepic Books, 1990.

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Savory, Brett Alexander, and John Robert Colombo. Tesseracts fourteen. Edge, 2010.

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1952-, Toolis Lorna, and Skeet Michael 1955-, eds. Tesseracts 4. Beach Holme Publishers, 1992.

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(Editor), Paula Johanson, and Jean-Louis Trudel (Editor), eds. Tesseracts 7: New Canadian Speculative Fiction. Tesseract Books, 1998.

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1940-, Clute John, and Dorsey Candas Jane, eds. Tesseracts 8: New Canadian speculative writing. Tesseract Books, 1999.

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Doctorow, Cory. Tesseracts eleven: Amazing Canadian speculative fiction. Edge Science Fiction and Fantasy Pub., 2007.

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(Editor), Robert Runté, and Yves Meynard (Editor), eds. Tesseracts 5: The Anthology of New Canadian Speculative Fiction. Tesseract Books, 1996.

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Yves, Meynard, and Runté Robert, eds. Tesseracts 5 : the anthology of new Canadian speculative fiction. Tesseract Books, 1996.

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Book chapters on the topic "Tesseract.js"

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Pickover, Clifford A. "Hyperspheres And Tesseracts." In Surfing Through Hyperspace Understanding Higher Universes in Six Easy Lessons. Oxford University PressNew York, NY, 1999. http://dx.doi.org/10.1093/oso/9780195130065.003.0004.

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Abstract II FBI Headquarters, Washington, D.C., 8:00 P. M. You’ ve returned to your FBI office. “I want to talk more about hyperspheres and tesseracts, the 4-D counterparts to spheres and cubes.” You draw a circle on the board with a dot at its center. ‘ ‘ A circle is the collection of points (on a plane) all at the same distance r from a point. A sphere is the collection of points (in space) all at the same distance r from a point. Similarly, a hypersphere is the collection of points (in hyper­ space) all at the same distance r from a point.” Sally steps closer to the board. “If a hypersphere
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"…AND NOW ON TO TESSERACTS." In Number Mosaics. WORLD SCIENTIFIC, 1995. http://dx.doi.org/10.1142/9789812831668_0022.

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Pickover, Clifford A. "Magic Squares, Tesseracts, and Other Oddities." In Wonders of Numbers. Oxford University PressNew York, NY, 2001. http://dx.doi.org/10.1093/oso/9780195133424.003.0101.

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Abstract In Islam, the number 66 corresponds to the numerical value of the word Allah. Figure 101.1 is an Islamic magic square that expresses the number 66 in every direction when the letters are converted to numbers. The square’s grid is formed by the letters in the word Allah. Magic squares such as this were quite common in the Islam, but seem not to have reached the West until the 15th century. From a historical perspective, Dr. Googol’s favorite Western magic square is Albrecht Diirer’s, which is drawn in the upper right-hand column of his etching Melencolia I (Figure 101.2). The variety o
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"CHAPTER THREE. Gallery 1: Squares, Cubes, and Tesseracts." In The Zen of Magic Squares, Circles, and Stars. Princeton University Press, 2011. http://dx.doi.org/10.1515/9781400841516.147.

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Conference papers on the topic "Tesseract.js"

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"The Efficacy of Tesseract OCR: Insights from a Practical Application Study." In International Conference on Cutting-Edge Developments in Engineering Technology and Science. ICCDETS, 2024. http://dx.doi.org/10.62919/hdsg3874.

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— This study evaluates the efficacy of the Tesseract Optical Character Recognition (OCR) system through a practical application lens. Tesseract, an open-source OCR tool, is widely recognized for its adaptability and broad usage across various digital imaging and text recognition domains. This paper explores Tesseract's performance in converting scanned documents into editable text formats, emphasizing its accuracy, efficiency, and usability in diverse scenarios, including complex document layouts and varied text quality. By conducting systematic tests across multiple data sets, including print
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