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Published in:

Volume 8 Issue 2
February-2021
eISSN: 2349-5162

Unique Identifier

JETIR2102198

Page Number

1653-1664

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Title

COMBINATORIAL FEATURE EXTRACTION FOR HAND SURFACE BIOMETRIC SYSTEM

ISSN

2349-5162

Cite This Article

"COMBINATORIAL FEATURE EXTRACTION FOR HAND SURFACE BIOMETRIC SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.1653-1664, February-2021, Available :http://www.jetir.org/papers/JETIR2102198.pdf

Abstract

In computer security, current progression in computer technology has improved the utilization of computerized biometric-based recognition and substantiation systems. These systems are considered to notice the uniqueness of an individual when it is anonymous or to confirm the individual’s individuality when it is offered. These systems classically hold a series of multipart technologies that process mutually to present the preferred result. In turn, estimating these schemes is also a difficult process. So, a multimodal biometric system is presented in the previous work to extract the features by integrating four different modalities palm-print, Finger print, Hand geometry and Finger Knuckle-Print (FKP). But the obtained features do not provide accurate hand surface biometric system. To enhance more accurate, resilient and robust hand surface biometric recognition system, it is necessary to evolve combinatorial features of hand surface. In this work, we concentrate on deriving combinatorial feature models which generate different combination of dynamic features of the hand surface. The multiple combinatorial features are evaluated for threshold criteria, which suits the accurate combination of most unique features of the hand surface. Experimental evaluation is made with real and synthetic hand set images from research repositories with different positions to examine the performance of the proposed combinatorial feature model for hand surface biometric system in terms of combinatorial feature set size, number of hand images and efficiency.

Key Words

Hand surface, Biometric recognition system, combinatorial feature model, threshold criteria.

Cite This Article

"COMBINATORIAL FEATURE EXTRACTION FOR HAND SURFACE BIOMETRIC SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1653-1664, February-2021, Available at : http://www.jetir.org/papers/JETIR2102198.pdf

Publication Details

Published Paper ID: JETIR2102198
Registration ID: 306312
Published In: Volume 8 | Issue 2 | Year February-2021
DOI (Digital Object Identifier):
Page No: 1653-1664
ISSN Number: 2349-5162

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Cite This Article

"COMBINATORIAL FEATURE EXTRACTION FOR HAND SURFACE BIOMETRIC SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1653-1664, February-2021, Available at : http://www.jetir.org/papers/JETIR2102198.pdf




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