Mr. Birendra Bhujel | Document Image Analysis | Best Researcher Award

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Mr. Birendra Bhujel, Document Image Analysis, Best Researcher Award

Birendra Bhujel at Indian Institute of Technology Patna, India

Profile

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🌍 Academic Background:

Mr. Birendra Bhujel is a dedicated PhD research scholar in the Department of Humanities and Social Sciences at the Indian Institute of Technology Patna, India. His academic journey reflects a strong foundation in sociology, enriched by a series of significant publications and conference contributions. His work, acclaimed for its depth and originality, explores the intersections of language, identity, and social dynamics.

🎓 Education:

Mr. Birendra completed his M.Phil. in Sociology from Sikkim Central University, preceded by an M.A. in Sociology from North Bengal University (NBU), and a B.A. in Sociology from Birpara College, NBU. He also achieved top honors in his class X board exams, reflecting his early academic excellence.

👩‍🏫 Professional Experience:

He has over a year of experience teaching as a part-time faculty member in the sociology department of a general degree college. His professional background is further strengthened by his current research role at IIT Patna.

🔬 Research Interests:

Birendra’s research interests focus on Linguistic Landscape and Multilingualism, Ethnic Identity, and the Sociology of Language. His work examines how language landscapes shape social identities and ethnic communities, particularly within the context of Nepali communities in Darjeeling and other regions.

📖 Publications:

Linguistic landscape as a tool of identity negotiation: The case of the Nepali ethnic communities in West Bengal
  • Authors: Birendra Bhujel, Sinha Sweta
  • Journal: Ethnicities
  • Year: 2024
Linguistic landscape as social identity construction of the public space: an empirical study of the plain region of Darjeeling district
  • Authors: Birendra Bhujel, Sinha Sweta
  • Journal: Journal of Multilingual and Multicultural Development
  • Year: 2024
Identity Negotiation Among Minorities: Case of the Nepali Community and Their Linguistic Landscape in Darjeeling
  • Authors: Birendra Bhujel, Sweta Sihna
  • Journal: Language in India ISSN 1930-2940
  • Year: 2023
Nepalese Diaspora in India: An Epistemological Contestation
  • Authors: Birendra Bhujel, Aditya Raj
  • Journal: Journal of Exclusion Studies
  • Year: 2022
Out-Migration of the Nepali Community from the Dooars Region of Alipurduar District: a Sociological Study
  • Authors: Birendra Bhujel
  • Year: 2020

Document Image Analysis

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Introduction of Document Image Analysis

Document Image Analysis research is a fundamental field in computer vision and image processing that focuses on the extraction, understanding, and interpretation of information from images of documents. With applications ranging from optical character recognition (OCR) to automated document categorization, this research area plays a pivotal role in digitizing and making sense of printed and handwritten text, forms, and diagrams.

Subtopics in Document Image Analysis:

  1. OCR and Text Extraction: Researchers work on developing accurate and efficient algorithms for Optical Character Recognition (OCR) to convert printed or handwritten text into machine-readable text, enabling document digitization.
  2. Document Layout Analysis: This subfield involves the segmentation and understanding of document layouts, including identifying text regions, headers, footers, and graphical elements, vital for document structure analysis and content extraction.
  3. Handwritten Text Recognition: Research focuses on recognizing and transcribing handwritten text, which is critical in applications like digitizing historical manuscripts and personalized note-taking systems.
  4. Form Processing and Data Extraction: Document Image Analysis techniques are applied to automatically extract structured data from forms, such as surveys and questionnaires, streamlining data entry and analysis.
  5. Document Classification and Information Retrieval: Algorithms for categorizing and indexing documents based on their content, making it easier to search, retrieve, and manage vast document repositories.

Document Image Analysis research continues to advance the automation and efficiency of handling documents in various industries, contributing to improved information access and management. These subtopics highlight key areas of research and development within this field.

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