Relevant bibliographies by topics / Manuscripts, Kannada

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Academic literature on the topic 'Manuscripts, Kannada'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Manuscripts, Kannada"

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S., Shivarajappa. "Glorious of Oriental Research Institute, University of Mysore, Mysuru, India." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2019): 105–8. https://doi.org/10.5281/zenodo.3335448.

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Palm leaf manuscript is one of the oldest media of writing in India especially in Southern India. It is also the major source for writing and painting in South and Southeast Asian countries including Nepal, Sri Lanka, Burma, Thailand, Indonesia and Cambodia. Though palm leaf writing was practiced since ancient times, its precise origin is still unclear. Palm-leaf manuscripts are manuscripts made out of dried palm leaves. Palm leaves were used as writing materials in the Indian subcontinent and Southeast Asia dating back to the 5th century BCE, and possibly much earlier. Their use began in Sout
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C. S. Pillai, Shakunthala B. S. ,. Ullas H. S. ,. "Kannada Handwritten Word Recognition Using Esld Method." Tuijin Jishu/Journal of Propulsion Technology 44, no. 6 (2023): 5444–52. http://dx.doi.org/10.52783/tjjpt.v44.i6.4988.

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The HCR method normally identifies writers' identities. It includes the crucial phase of segmentation, in which the handwriting text is converted into lines. SLD and the R Clustering technique for line and character segmentation in the framework of a handwritten documents Kannada literature. The words from the text lines are arranged here using an intelligent technique. The words that have been detected are then retrieved and saved in a new picture. During extraction, it is assured that no words intersect and that unnecessary information is effectively removed. Other proposed and well tested a
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Asokan, Ayna, and Sreeleja N Unnithan. "Offline Recognition of Malayalam and Kannada Handwritten Documents Using Deep Learning." International Journal of Computer Communication and Informatics 3, no. 2 (2021): 12–24. http://dx.doi.org/10.34256/ijcci2122.

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For a variety of reasons, handwritten text can be digitalized. It is used in a variety of government entities, including banks, post offices, and archaeological departments. Handwriting recognition, on the other hand, is a difficult task as everyone has a different writing style. There are essentially two methods for handwritten recognition: a holistic and an analytic approach. The previous methods of handwriting recognition are time- consuming. However, as deep neural networks have progressed, the approach has become more straightforward than previous methods. Furthermore, the bulk of existin
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Leela Somashekharaiah, Anusha, and Abhay Deshpande. "Preprocessing techniques for recognition of ancient Kannada epigraphs." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 358. http://dx.doi.org/10.11591/ijece.v14i1.pp358-365.

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The Dravidian language Kannada is most spoken in the state of Karnataka, and because of its extensive library of epigraphs, including old manuscripts and inscriptions, it is regarded as a repository of knowledge. To make this knowledge more accessible to the people, efforts are being made to digitize the documents for optimized usage and storage using optical character recognition (OCR) but oftentimes these epigraphs are in poor conditions and the quality of the image being fed to the OCR model may not be good enough to achieve high accuracy of recognition and classification. Preprocessing tec
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Anusha, L. S., and Abhay Anandrao Deshpande. "Implementation of Preprocessing Techniques for Precise Classification of Ancient Kannada Epigraphs." Engineering, Technology & Applied Science Research 15, no. 3 (2025): 23592–98. https://doi.org/10.48084/etasr.10996.

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The Dravidian language Kannada is most spoken in the state of Karnataka, and due to its extensive library of epigraphs, including old manuscripts and inscriptions, it is regarded as a repository of knowledge. To make this knowledge more accessible, efforts are underway to digitize documents for optimized usage and storage using Optical Character Recognition (OCR). However, often these epigraphs are in poor condition, and the quality of the image being fed to the OCR model may not be good enough to achieve high accuracy of recognition and classification. Preprocessing techniques are used to imp
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6

Tanonova, Elena V. "‘Forms of the Canarese Characters at Different Periods’ (1833): A Lithographic Edition by Walter Elliot from the Library of IOM, RAS." Письменные памятники Востока 20, no. 4 (2023): 95–105. http://dx.doi.org/10.55512/wmo623657.

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The article is dedicated to a newly discovered item from the library of the Institute of Oriental Manuscripts, RAS. The lithographic book was issued in Bombay by a British administration official named Sir W. Elliot (1803–1887) in 1833 as a catalog of early forms of Kannada alphabetic characters dating back to the 6th century A.D. The researcher carefully collected inscriptions from various epigraphic sources. The table with characters is preceded by a Memorandum, where W. Elliot clearly answers the main questions: what kind of material was used in the lithography, where it was found and to wh
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Veerabadhran, Vijayalakshmi, Bommidi Rajeshwari, P. Murali Manohar, Saketh Ram Thrigulla, and Goli Penchala Prasad. "Preparing a Medically Significant Copper Plate Inscription Replicas: A Case Study." Journal of Indian Medical Heritage 2, no. 4 (2023): 204–8. https://doi.org/10.4103/jimh.jimh_17_24.

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Abstract Inscriptions engraved on surfaces such as stone and copper plates provide insights into governance, societal customs, and the practice of Ayurveda from ancient times to the present. Unlike manuscripts, inscriptions, particularly those on stone, are more resistant to degradation. However, inscriptions on copper plates and other valuable metals, wood, and perishable materials are susceptible to loss, often traded unknowingly by custodians who do not recognize their historical significance, leading to their conversion into everyday items and resulting in the loss of invaluable historical
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8

Liu, Zhen. "New Manuscript Evidence for Suprabhātastava by Śrīharṣadeva: The Drepung Texts Critically Examined". Acta Asiatica Varsoviensia 35 (2022): 155–200. http://dx.doi.org/10.60018/acasva.cscy7993.

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The Suprabhātastava is one of the two hymns ascribed to King Śrīharṣadeva (c. 590–647 CE), who ruled over Kannauj. There are five modern editions of this text, which roughly follow eight extant Sanskrit manuscripts and a Tibetan translation. Recently, scholars discovered two unknown Sanskrit manuscripts of the text in Drepung Monastery. One of them has unique contents and readings. For this reason, the present article compares the said manuscript with other extant versions. In this respect, the article demonstrates that the newly discovered manuscripts belong to a different transmission lineag
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P, Ravi, Naveena C, and H. Sharathkumar Y. "OCR for historical Kannada documents using clustering methods." Indian Journal of Science and Technology 13, no. 35 (2020): 3652–63. https://doi.org/10.17485/IJST/v13i35.1287.

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Abstract <strong>Motivation:</strong>&nbsp;In India, the Language Kannada is an ancient and official language in Karnataka State. The study of ancient Kannada scripts from stone carvings, leaf, metal, cloth, paper and other sources enhances our knowledge on the traditions and culture practiced in Karnataka. Due to Poor Quality, variability and the contrast, the Kannada ancient scripts become very challenging to extract the information or to recognize the characters.&nbsp;<strong>Objectives:</strong>&nbsp;To design a suitable Optical Character Recognition (OCR) technique to read ancient Kannada
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Soma, Ghosh. "Revisiting Tipu Sultan's Library – Journeys in India and the United Kingdom." International Journal of Social Science Humanity & Management Research 01, no. 03 (2022): 83–95. https://doi.org/10.5281/zenodo.7147017.

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This article traces the journey of an iconic collection housed by Tipu Sultan at Srirangapatnam in present day Karnataka State of South India. Tipu Sultan was the ruler of Mysore from 1782 to 1799 A. D. He remains a most debated, yet fascinating person among rulers and his death at Srirangapatnam on 4th May 1799, is an important one in Indian history. Known as the &lsquo;&rsquo;Tiger of Mysore&rsquo;&rsquo; he has gone down in history as one of the bravest warriors of all time. Tipu had learnt Persian, Arabic, Kannada, Telugu and Marathi. He learnt military arts under Ghazi Khan and the French
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Books on the topic "Manuscripts, Kannada"

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Hirēmaṭha, Bi Ke. Kannaḍa hastapratigaḷu, ondu adhyayana. Vīraśaiva Adhyayana Vēdike, 1992.

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Baḍigēra, Vīrēśa. Kannaḍa hastapratigaḷa bahupaṭhyīya nelegaḷu. Prasārāṅga, Kannaḍa Viśvavidyālaya, 2006.

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Eṃ, Kalaburgi Eṃ. Kannaḍa hastapratiśāstra. Sneha Prakāśana, 1993.

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Baḍigēra, Vīrēśa. Kannaḍa hastapratigaḷu mattu sāphṭēr tantrajñāna. Prasārāṅga, Kannaḍa Viśvavidyālaya, 2000.

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Ṭi, Haḷḷikēri Eph. Kaṇṭha patra: Hastaprati sambandhī lēkhanagaḷu. Vikāsa Prakāśana, 2003.

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6

Akhila Karnāṭaka Hastaprati Sammēḷana (3rd 2005 Bijapur, India). Hastaprati vyāsaṅga-7. Prasārāṅga, Kannaḍa Viśvavidyālaya, 2006.

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7

Śrī Mañjunāthēśvara Saṃsk̥rti Saṃśōdhana Pratiṣṭhāna (Dharmastala, India). Kannaḍa hastaprati sūci. Śrī Dha. Maṃ. Pustaka Prakāśana Māle, 2000.

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Es, Saṇṇayya Bi. Prācīna Kannaḍa grantha sampādane: 20neya śatamānadalli. Karnāṭaka Sarkāra, Kannaḍa Pustaka Prādhikāra, 2002.

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9

1938-, Kalaburgi Eṃ Eṃ, and Hirēmaṭha Bi Ār, eds. Kannaḍa Adhyayanapīṭhada hastaprati sūci. Prasārāṅga, Karnāṭaka Viśvavidyālaya, 1992.

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10

Honnayya, Si Bi. Hastaprati adhyayana: Samakālīna savālugaḷu. Kannaḍa Adhyayana Kēndra, 2013.

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Book chapters on the topic "Manuscripts, Kannada"

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Bannigidad, Parashuram, and S. P. Sajjan. "Restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts Using Image Enhancement Techniques." In 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28324-6_9.

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Bannigidad, Parashuram, and S. P. Sajjan. "Ancient Kannada Handwritten Character Recognition from Palm Leaf Manuscripts Using PyTesseract-OCR Technique." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60725-7_12.

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Bannigidad, Parashuram, and S. P. Sajjan. "Restoration of Ancient Kannada Handwritten Palm Leaf Manuscripts with Modified Sauvola Method Using Integral Images." In ICT Analysis and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6568-7_5.

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Conference papers on the topic "Manuscripts, Kannada"

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Borah, Asha Rani, Abhilash Vijapur, and B. Mahesh Kumar. "Kannada Manuscript Digitization through OCR and Machine Learning." In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT). IEEE, 2024. http://dx.doi.org/10.1109/ic2pct60090.2024.10486458.

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Patil, Kishor, Neha Gupta, Damodar M, and Ajai Kumar. "Towards Modi Script Preservation: Tools for Digitization." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121305.

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Modi (मोडी, modī ̣) is a heritage script belonging to Brahmi family, which is used mainly for writing Marathi, an Indo-Aryan language spoken in western and central India, mostly in the state of Maharashtra. “Modi-manuscript "written from the past, reveals the history of the Maratha Empire from its inception under Chhatrapati Shivaji Maharaj; to the creation of movable metal type when Modi was slowly relegated to an inferior position, unfolds perspectives and reflects the social, political and cultural sense of his time." Today it is very important for historians, researchers and students to un
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