UGC Approved Journal no 63975(19)

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

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2202388


Registration ID:
320007

Page Number

d699-d701

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Title

SCANNED DOCUMENT CLASSIFICATION

Abstract

BFSI areas manage bunches of unstructured filtered records which are chronicled in report the executives’ frameworks for additional utilization. For instance, in Insurance area, when a strategy goes for endorsing, guarantors joined a few crude notes with the arrangement, Insureds likewise connect different sort of examined archives like character card, bank proclamation, letters and so on In later pieces of the strategy life cycle assuming cases are made on an approach, related checked reports likewise documented. Presently it turns into a monotonous task to distinguish a specific record from this huge archive. The objective of this contextual investigation is to foster a deep learningbased arrangement which can consequently order filtered archives.

Key Words

Convolution Neural networks (CNN)-Science operations and test area (SOTA)- VGG16- InceptionResNetV2-Approach-Deep Learning - Ryerson Vision Lab Complex Document Information Processing (RVL-CDIP)

Cite This Article

"SCANNED DOCUMENT CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.d699-d701, February-2022, Available :http://www.jetir.org/papers/JETIR2202388.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

"SCANNED DOCUMENT CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppd699-d701, February-2022, Available at : http://www.jetir.org/papers/JETIR2202388.pdf

Publication Details

Published Paper ID: JETIR2202388
Registration ID: 320007
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier):
Page No: d699-d701
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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