Relevant bibliographies by topics / Devanagari type

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters

Academic literature on the topic 'Devanagari type'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2024

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Journal articles on the topic "Devanagari type"

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Mohinder Kumar, Sanjeev Kumar. "Devanagari CAPTCHA: For the Security in Web." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 292–310. http://dx.doi.org/10.52783/tjjpt.v44.i4.837.

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Completely Automated Public Turing Test to Tell Computers and Humans Apart or CAPTCHA is a solution for cyber-attack. CAPTCHA is a small challenge that an internet user has to pass before accessing any online service. The most common type of CAPTCHA is text-based CAPTCHA, in which a small image (contains a random number of alphabets) is presented before the user. The user has to identify and then type the alphabet in a text box. The textual information in the CAPTCHA must not be identified by a bot (computer code). So, artificial noise and distortion are applied in the image. Earlier text-base
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Sawant, Sakshi S., Aparna S. Shirkande, Neha V. Shinde, and Sharanya S. Rao. "OCR Of Devanagari Script Using CNN." Journal of Optical Communication Electronics 9, no. 2 (2023): 1–10. http://dx.doi.org/10.46610/jooce.2023.v09i02.001.

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Devanagari script is widely used across India. It forms many languages like Hindi, Marathi, Nepali and Sanskrit languages. As the Devanagari characters are similar to the hindi character the national language of India. It is important to recognize the characters to understand the message that particular tries to tell. The automatic character recognition system is thus developing for the Devanagari script. The character recognition process converts an image of a character into machine-readable format also its English corresponds. In this paper, we are using Convolutional Neural Network for deve
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SOHONI, PUSHKAR. "Marathi of a Single Type: The demise of the Modi script." Modern Asian Studies 51, no. 3 (2016): 662–85. http://dx.doi.org/10.1017/s0026749x15000542.

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AbstractWhile the debates about the use of a single script for rendering the Marathi language became relevant only after the advent of printing, the fast-changing social and political landscapes of the nineteenth and twentieth centuries lent their own weight to the discourse. The debates about the writing system became the venue for various competing social forces and political movements. The issues of region, caste, class, and religion—the core of today's identity politics—were all embroiled in this debate, as were both the British colonial and Indian nationalist governments. In just 150 year
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Mullaney, Thomas S. "Facing the World: Towards a Global History of Non-Latin Type Design." Philological Encounters 3, no. 4 (2018): 399–411. http://dx.doi.org/10.1163/24519197-12340050.

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Abstract This essay serves as the entry point into a broader exploration of critical issues in the history of “non-Latin” type design—that is, type design beyond the Latin alphabet. With special emphasis on certain scripts (Arabic, Chinese, Greek, and Devanagari, among others) and regions (South Asia, East Asia, South Africa, and beyond), this special issue brings together practicing designers and scholars, federating rigorous archival work, practice-based insight, and a deep engagement with the global history of the written, designed, and printed word.
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Shirkande, Prof Aparna S., Sakshi S. Sawant, Neha V. Shinde, and Sharanya S. Rao. "Study on the OCR of the Devanagari script using CNN." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 1502–6. http://dx.doi.org/10.22214/ijraset.2022.46874.

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bstract: Optical Character Recognition (OCR) is the electronic conversion of images of typed, handwritten or printed text into machine encoded text, whether from scanned document, a photo of a document, a scene photo. The Optical Character Recognition is emerging as a useful technology for data entry, digital data storage and as an aid to visually impaired people. The Devanagari script is composed of 47 primary characters including 14 vowels and 33 consonants. It is fourth most widely adopted writing system in the world being used for 120 languages. Convolution Neural Network (CNN) are a speci
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de Voogt, Alexander J. "The Meroitic script and the understanding of alpha-syllabic writing." Bulletin of the School of Oriental and African Studies 73, no. 1 (2010): 101–5. http://dx.doi.org/10.1017/s0041977x0999036x.

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AbstractAt the time of its decipherment by Griffith (1911), the Meroitic writing system was considered an alphabet. This alphabet was found to have a rather limited vowel notation. It was not until 1970 that the system was understood to have a more complex vowel notation. This system of vowel notation is comparable to what is found in an alpha-syllabary, a term used to describe the scripts of the Indian sub-continent, such as Brahmi and Devanagari. Since alpha-syllabaries were rare when the Meroitic writing system was in use (c. 200 bce–c. 500 ad), it is tempting to suggest a possible historic
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., Ashok Kumar Bathla, and Sunil Kumar Gupta . "Character Segmentation and Skew Correction for Handwritten Devanagari Scripts: A Friends Technique." Asian Journal of Engineering and Applied Technology 8, no. 1 (2019): 50–54. http://dx.doi.org/10.51983/ajeat-2019.8.1.1060.

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Optical Character Recognition (OCR) technology allows a computer to “read” text (both typed and handwritten) the way a human brain does.Significant research efforts have been put in the area of Optical Character Segmentation (OCR) of typewritten text in various languages, however very few efforts have been put on the segmentation and skew correction of handwritten text written in Devanagari which is a scripting language of Hindi. This paper aims a novel technique for segmentation and skew correction of hand written Devanagari text. It shows the accuracy of 91% and takes less than one second to
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Moharkar, Lalita, Sudhanshu Varun, Apurva Patil, and Abhishek Pal. "A scene perception system for visually impaired based on object detection and classification using CNN." ITM Web of Conferences 32 (2020): 03039. http://dx.doi.org/10.1051/itmconf/20203203039.

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In this paper we have developed a system for visually impaired people using OCR and machine learning. Optical Character Recognition is an automated data entry tool. To convert handwritten, typed or printed text into data that can be edited on a computer, OCR software is used. The paper documents are scanned on simple systems with an image scanner. Then, the OCR program looks at the image and compares letter shapes to stored letter images. OCR in English has evolved over the course of half a century to a point that we have established application that can seamlessly recognize English text. This
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Kumar, Mohinder, Manish Kumar Jindal, and Munish Kumar. "A Novel Attack on Monochrome and Greyscale Devanagari CAPTCHAs." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 4 (2021): 1–30. http://dx.doi.org/10.1145/3439798.

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The use of computer programs in breaching web site security is common today. CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) and human interaction proofs are the cost-effective solution to these kinds of computer attacks on web sites. These CAPTCHAs are available in many forms, such as those based on text, images and audio. A CAPTCHA must be secure enough that it cannot be broken by a computer program, and it must be usable enough that humans can easily understand it. The most popular is the text-based scheme. Most text-based CAPTCHAs are based on the Engli
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Regmi, Bhim Narayan. "Multilanguage Orthography for the Languages of Nepal." Gipan 3, no. 2 (2017): 157–74. http://dx.doi.org/10.3126/gipan.v3i2.48920.

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The earliest evidence of writing in Nepal is about 250 BC in Brahmi script and almost all the scripts used in present day Nepal—as many as fifteen—are the descendants of Brahmi which are built on the same formative principles of 'syllabic alphabet'. The existence of multilanguage orthographies as well as multiscripts has been the regular phenomenon in Nepal—independent to languages and language families. In the complexity of language-ethnicity and language-script relations, Nepali and the Devanagari script have been bearing the role of linking people in this country resulting from and resulted
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Dissertations / Theses on the topic "Devanagari type"

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Singh, V. "Devanagari type in the twentieth century." Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/78269/.

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This thesis examines the twentieth-century history of the design of typefaces for on India's most widely used scripts, Devangari, and addresses the historical framework of Devangari type from the beginnings of mechanical composition to the advent of digital technologies. Focusing on some of the significant initiatives that enabled textual communication of this script, and investigating the dynamics behind these developments, this thesis positions the design process in its entirety - not merely the marketing end-products of design - as a key resource for understanding and explaining technologic
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Books on the topic "Devanagari type"

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Varia, Nila. Indian Devanagari Script type-design and Indian dance (Bharata Natyamn) study. 1988.

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Cinelli, Mia. Giving Type Meaning. Bloomsbury Publishing Plc, 2023. http://dx.doi.org/10.5040/9781350255869.

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When we encounter type, how do we understand what it means? How is the tone of type influenced by how it is set, when it is made, and where it exists? What part does visual language play? Considering social, spatial, and temporal contexts, this text informs and inspires students, educators, and professionals looking to engage more deeply with the type they use and see. Featuring case studies, diverse typographic practices, and interviews with practicing artists and designers, Giving Type Meaning serves to inform how and why we understand what type says. The book includes: - The importance of c
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Book chapters on the topic "Devanagari type"

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Ralekar, Chetan, Punyajoy Saha, Tapan K. Gandhi, and Santanu Chaudhury. "Effect of Devanagari Font Type in Reading Comprehension: An Eye Tracking Study." In Intelligent Human Computer Interaction. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04021-5_13.

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