Beta
19832

ENHANCED FINGER VEIN BASED RECOGNITION SYSTEM

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

-

Abstract

Robust Recognition systems become more complicated over time. These systems are derived from features which can be extracted from different body members using extractor methods. Finger vein is suitable member that could be used to violate the weakness of finger print. Conventional extractor methods like matched filter and morphological methods can extricate patterns if the widths of veins are steady whereas repeated line tracking method extract vein patterns from a hazy picture. These strategies can't remove veins that are smaller extensive than the accepted widths which corrupts the precision of the individual recognizable proof or can't adequately extricate flimsy veins on the grounds. In turn, we have proposed a system that tackles these issues by checking the shape of the picture profiles and stressing just the centerlines of veins. Our system for distinguishing the most extreme bend positions is hearty against transient vacillations in vein width and splendor. This paper introduces a finger vein recognition system based on using histogram of gradient and multi class support vector machine and finger vein recognition is powered by using Gabor filter with classifier powered by multi class support vector machine. The proposed have great enhancement impact over relative to accuracy, sensitivity, F-measure and precision during evaluation.

DOI

10.21608/ijicis.2016.19832

Keywords

Finger vein, Support Vector Machine SVM, Recognition System, Gabor, Histogram of Gradient HOG

Authors

First Name

M. h

Last Name

Jumaah

MiddleName

-

Affiliation

Faculty of Computers & Information, Mansoura University, Egypt

Email

-

City

-

Orcid

-

First Name

S.

Last Name

Hussein

MiddleName

-

Affiliation

Faculty of Engineering, Mansoura University, Egypt

Email

-

City

-

Orcid

-

First Name

M.

Last Name

Rashad

MiddleName

-

Affiliation

Faculty of Computers & Information, Mansoura University, Egypt

Email

-

City

-

Orcid

-

Volume

16

Article Issue

3

Related Issue

1935

Issue Date

2016-07-01

Receive Date

2018-11-25

Publish Date

2016-07-01

Page Start

1

Page End

14

Print ISSN

1687-109X

Online ISSN

2535-1710

Link

https://ijicis.journals.ekb.eg/article_19832.html

Detail API

https://ijicis.journals.ekb.eg/service?article_code=19832

Order

1

Type

Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023