Finger Knuckle Print Recognition using MMDA with Fuzzy Vault

MuthuKumar Arunachalamand; Kavipriya Amuthan

doi:10.34028/iajit

Article Details

Finger Knuckle Print Recognition using MMDA with Fuzzy Vault

Authors:

MuthuKumar Arunachalamand | Kavipriya Amuthan

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 4, pp.122-129

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389366

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 Currently frequent biometric scientific research such as with biometric applications like face, iris, voice, hand-based 
biometrics traits like palm print and fingerprint technique are utilized for spotting out the persons. These specific biometrics 
habits have their own improvement and weakness so that no particular biometrics can adequately opt for all terms like the 
accuracy and cost of all applications. In recent times, in addition, to distinct with the hand-based biometrics technique, Finger 
Knuckle Print (FKP) has been appealed to boom the attention among biometric researchers. The image template pattern 
formation of FKP embraces the report that is suitable for spotting the uniqueness of individuality. This FKP trait observes a 
person based on the knuckle print and the framework in the outer finger surface. This FKP feature determines the line anatomy 
and finger structures which are well established and persistent throughout the life of an individual. In this paper, a novel method 
for personal identification will be introduced, along with that data to be stored in a secure way has also been proposed. The 
authentication process includes the transformation of features using 2D Log Gabor filter and Eigen value representation of 
Multi-Manifold Discriminant Analysis (MMDA) of FKP. Finally, these features are grouped using k-means clustering for both 
identification and verification process. This proposed system is initialized based on the FKP framework without a template based 
on the fuzzy vault. The key idea of fuzzy vault storing is utilized to safeguard the secret key in the existence of random numbers 
as chaff pints.

Article Details

Finger Knuckle Print Recognition using MMDA with Fuzzy Vault

Authors:

MuthuKumar Arunachalamand | Kavipriya Amuthan

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 4, pp.122-129

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389366

pISSN:

2309-4524

DOI:

10.34028/iajit

Finger Knuckle Print (FKP)

2D Gabor filter

Multi-Manifold Discriminant analysis (MMDA)

Fuzzy Vault Received January 5

2018; accepted December 17

2019 https://doi

Issues

Article Details

Finger Knuckle Print Recognition using MMDA with Fuzzy Vault

Authors: MuthuKumar Arunachalamand | Kavipriya Amuthan

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 4, pp.122-129

Document Type: Article

Publication Date: 1/2020

Document Language: English

Document ID (Org No.): 2001389366

pISSN: 2309-4524

DOI: 10.34028/iajit

Finger Knuckle Print (FKP)

2D Gabor filter

Multi-Manifold Discriminant analysis (MMDA)

Fuzzy Vault Received January 5

2018; accepted December 17

2019 https://doi

Issues

Authors:

MuthuKumar Arunachalamand | Kavipriya Amuthan

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 4, pp.122-129

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389366

pISSN:

2309-4524

DOI:

10.34028/iajit