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Secure Machine Learning Based Transaction System Using Fingerprint Authentication

200.00 160.00

Name of writers /editors :

ISBN :

No. of Pages :

Size of the book :

Book Format :

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Edition :

Nitigya, Rajesh Kumar, Minakshi Memoria, Kapil Joshi

978-93-5857-050-2

68

6.38x9.02

Paperback

Nitya Publications, Bhopal

First

-20%

Secure Machine Learning Based Transaction System Using Fingerprint Authentication

200.00 160.00

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Description

Human fingerprints have a wealth of minutiae, or minute characteristics, that can be used as identity marks for fingerprint verification. Our term project is to investigate fingerprint identification and transaction systems based on minutiae-based matching, which is widely utilized in fingerprint algorithms and methodologies. The approach taken in this project entails extracting minutiae points from fingerprint photos and then doing fingerprint matching between two fingerprints.

 If yes, the database is queried for additional information, and the information is displayed as validated. In this instance, we’ll have to deal with the user’s requirements. This project was created using Visual Studio.

Keywords- Fingerprint Recognition, Minutiae, Biometrics, 

Verification, Identification, Security

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