Paper Title
Text extraction using machine learning
Article Identifiers
Authors
Vikram V , Keerthi R , Keerthivela T S , Guna P , Dr. Murale C
Keywords
Video Processing, Text extraction, Audio file, handwritten documents, searchable documents
Abstract
Our project is specifically tailored to provide efficient support for students by saving valuable time. The primary objective is to empower users through flexible text extraction capabilities, particularly in recognizing handwritten documents. This initiative caters to students seeking a more accessible method for extracting text and notes from tutorial videos in the mp4 format and text format. Additionally, the project aims to convert scanned handwritten documents into searchable formats. A pivotal aspect of the project is its commitment to data accuracy, ensuring that the extracted information aligns precisely with the source material. In essence, our project revolves around the central objective of optimizing text recognition to create an inclusive and time-efficient experience for the student community. Moreover, our project also aims to convert extracted text into mp3 format, providing further accessibility options for students.
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How To Cite (APA)
Vikram V, Keerthi R, Keerthivela T S, Guna P, & Dr. Murale C (April-2024). Text extraction using machine learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c555-c558. https://ijnrd.org/papers/IJNRD2404297.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : c555-c558
Other Publication Details
Paper Reg. ID: IJNRD_218027
Published Paper Id: IJNRD2404297
Downloads: 000121978
Research Area: Engineering
Country: Coimbatore, Tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404297.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404297
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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