IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: A Review on the Division of Overlapped Fingerprint using Speckle Noise Reduction
Authors Name: Sonam Mishra , Ravi Tiwari
Unique Id: IJSDR1905013
Published In: Volume 4 Issue 5, May-2019
Abstract: A fingerprint in its narrow sense is an impression left by the friction ridges of a human finger. The recovery of fingerprints from a crime scene is an important method of science. Normally, fingerprint images contain a single fingerprint or a set of non-overlapped fingerprints. There may be situations where overlapped fingerprint can be obtained. It can be frequently encountered in the latent fingerprint lifted from crime scenes. It is essential to separate those overlapped fingerprint into its component fingerprints. The challenging work in separating overlapped fingerprint is the separation of mixed orientation field into its component orientation field. The region masks are then further used to separate the fingerprints. This requires the user’s physical concentration to acquire the separate region masks, which are found to be time-consuming. In this we study about the different type of fingerprint and different methods for the division of overlapped fingerprint.
Keywords: latent overlapped fingerprints; region masking; fully automated system; region segmentation;
Cite Article: "A Review on the Division of Overlapped Fingerprint using Speckle Noise Reduction", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 5, page no.79 - 83, May-2019, Available :http://www.ijsdr.org/papers/IJSDR1905013.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1905013
Registration ID:190489
Published In: Volume 4 Issue 5, May-2019
DOI (Digital Object Identifier):
Page No: 79 - 83
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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