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Verifying Human Unique Identities Using Fingerprint Reconstruction and Knuckle Recognization

Kumavat Kalpesh1 , Jadhav Samiksha2 , Burkul Gauri3 , Mahajan Gaurav4

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-4 , Page no. 25-29, Apr-2016

Online published on Apr 27, 2016

Copyright © Kumavat Kalpesh, Jadhav Samiksha, Burkul Gauri, Mahajan Gaurav . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Kumavat Kalpesh, Jadhav Samiksha, Burkul Gauri, Mahajan Gaurav, “Verifying Human Unique Identities Using Fingerprint Reconstruction and Knuckle Recognization,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.25-29, 2016.

MLA Style Citation: Kumavat Kalpesh, Jadhav Samiksha, Burkul Gauri, Mahajan Gaurav "Verifying Human Unique Identities Using Fingerprint Reconstruction and Knuckle Recognization." International Journal of Computer Sciences and Engineering 4.4 (2016): 25-29.

APA Style Citation: Kumavat Kalpesh, Jadhav Samiksha, Burkul Gauri, Mahajan Gaurav, (2016). Verifying Human Unique Identities Using Fingerprint Reconstruction and Knuckle Recognization. International Journal of Computer Sciences and Engineering, 4(4), 25-29.

BibTex Style Citation:
@article{Kalpesh_2016,
author = {Kumavat Kalpesh, Jadhav Samiksha, Burkul Gauri, Mahajan Gaurav},
title = {Verifying Human Unique Identities Using Fingerprint Reconstruction and Knuckle Recognization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {4},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {25-29},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=850},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=850
TI - Verifying Human Unique Identities Using Fingerprint Reconstruction and Knuckle Recognization
T2 - International Journal of Computer Sciences and Engineering
AU - Kumavat Kalpesh, Jadhav Samiksha, Burkul Gauri, Mahajan Gaurav
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 25-29
IS - 4
VL - 4
SN - 2347-2693
ER -

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Abstract

In this paper we proposed that, the set of minutia factors is taken into consideration to be the maximum different feature for fingerprint illustration and is extensively used in fingerprint matching. It turned into believed that the minutia set does now not contain sufficient data to reconstruct the unique fingerprint photograph from which minutiae had been extracted. The prior know-how approximately fingerprint ridge systems is encoded in terms of orientation patch and non-stop segment patch dictionaries to improve the fingerprint reconstruction. We additionally proposed a brand new or first publicly to be had database for minor (additionally foremost) finger knuckle photographs from 503 exceptional topics. The efforts to expand an automatic minor finger knuckle sample matching scheme reap promising outcomes and illustrate its simultaneous use to seriously enhance the overall performance over the conventional finger knuckle identification.

Key-Words / Index Term

Fingerprint Reconstruction; Knuckle Matching; Major & minor knuckle

References

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