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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37037

BANK TRANSACTION USING IRIS AND BIOMETRIC

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM37037

Volume:

8 |

8 |

Aug 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM37037

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

S

Shruthi.C.K

B

Balaji.M

AS

Arjun Sathish.B.K

D

Dinesh.S

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Abstract

Exact correlation of contactless 2D unique finger impression pictures with contact-based fingerprints is basic for the achievement of developing contactless 2D unique finger impression innovations, which offer more sterile and distortion free procurement of unique finger impression features. Convolutional neural systems (CNN) have demonstrated comment capable capacities in biometrics acknowledgment. Be that as it may, there has been nearly nil endeavor to coordinate unique mark pictures utilizing CNN- based methodologies. This paper builds up a CNN- based system to precisely coordinate contactless and contact-based unique mark pictures. Our structure right off the bat prepares a multi-Siamese CNN utilizing unique finger impression details, individual edge guide and particular district of edge outline.

KEYWORDS

Biometric samples.

Cite This Article

Shruthi.C.K, Balaji.M, Arjun Sathish.B.K, Dinesh.S, "BANK TRANSACTION USING IRIS AND BIOMETRIC," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 8, Aug 2024. https://doi.org/10.55041/IJSREM37037

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Publication Date

10/7/2024

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Double-Blind Peer Review

Review Rounds: 2

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