UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 10 | October 2024

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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:
JETIR2311051


Registration ID:
527447

Page Number

a351-a355

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Title

Impelementation on Compressed Fingerprint Matching and Camera Identification based on Random Projections Techniques

Abstract

Gender Sensor imperfections in the form of photo response no uniformity(PRNU)patterns are a well-established fingerprinting technique to link pictures to the camera sensors that acquired them. The noise-like characteristics of the PRNU pattern make it a difficult object to compress. So this proposed system uses real-valued or binary random projections to effectively compress the fingerprints at a small cost in terms of matching accuracy. The performance of randomly projected fingerprints is analyzed from a theoretical standpoint and experimentally verified on databases of real photographs.

Key Words

PRNU; photo response non-uniformity; source camera identification; videos; compression; resolution.

Cite This Article

"Impelementation on Compressed Fingerprint Matching and Camera Identification based on Random Projections Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.a351-a355, November-2023, Available :http://www.jetir.org/papers/JETIR2311051.pdf

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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

"Impelementation on Compressed Fingerprint Matching and Camera Identification based on Random Projections Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppa351-a355, November-2023, Available at : http://www.jetir.org/papers/JETIR2311051.pdf

Publication Details

Published Paper ID: JETIR2311051
Registration ID: 527447
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: a351-a355
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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