UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2311392


Registration ID:
528477

Page Number

d741-d744

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Title

Document Scanner App With Egde Detection & Curve Flattening Technique

Abstract

presents an advanced document scanning system that combines edge detection and curve flattening techniques to improve the accuracy and quality of scanned documents. The proposed system aims to overcome the limitations of traditional scanning methods by leveraging computer vision algorithms to identify edges and flatten curves, resulting in enhanced image clarity and readability. The first component of the system focuses on edge detection, which involves the extraction of prominent boundaries and edges within a document. By employing edge detection algorithms such as Canny or Sobel, the system can accurately locate the edges of text, images, and other elements present on the document. This process enhances the overall sharpness and clarity of scanned images, resulting in improved legibility and reduced noise. The second component of the system tackles the challenge of flattening curved or distorted document pages. Curved pages often arise due to factors such as uneven pressure during scanning or inherent curvature in bound documents. To address this issue, the proposed system employs curve flattening techniques, utilizing algorithms like OpenCV By applying these methods, the system corrects the distortion, straightens the document, and enhances the overall visual appearance of the scanned output. The combination of edge detection and curve flattening in the document scanning process offers numerous benefits. It provides users with more accurate digitized copies of physical documents, making it easier to extract and process textual information. Additionally, the system reduces the need for manual post-processing, saving time and effort for users.

Key Words

Document scanner, Edge detection, Curve flattening, Computer vision, Image processing

Cite This Article

"Document Scanner App With Egde Detection & Curve Flattening Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d741-d744, November-2023, Available :http://www.jetir.org/papers/JETIR2311392.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Document Scanner App With Egde Detection & Curve Flattening Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd741-d744, November-2023, Available at : http://www.jetir.org/papers/JETIR2311392.pdf

Publication Details

Published Paper ID: JETIR2311392
Registration ID: 528477
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: d741-d744
Country: Pune, Maharastra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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