Iris and Foot based Sustainable Biometric Identification Approach

被引：6

作者：

Ashraf, Shahzad ^{[1
]}

Saleem, Sehrish ^{[2
]}

Ahmed, Tauqeer ^{[1
]}

Aslam, Zeeshan ^{[3
]}

Shuaeeb, Muhammad ^{[4
]}

机构：

[1] Hohai Univ, Coll Internet Things Engn, Changzhou, Jiangsu, Peoples R China

[2] Muhammad Nawaz Sharif Univ Engn & Technol, Dept Comp Sci, Multan, Pakistan

[3] Petroweld Kurdistan Erbil, Erbil, Iraq

[4] Dow Univ Hlth Sci, Directorate Informat & Commun Technol, Karachi, Pakistan

来源：

2020 28TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM) | 2020年

关键词：

sustainable biometric; perspicacious; hassle; modalities; FACE;

D O I：

10.23919/softcom50211.2020.9238333

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the advent of modern technology, the biometric identification system has achieved significant milestone but at the same time numerous challenges are yet to face. As each person has unique body parts with unmatchable body marks. The technology utilizes these body marks to determine the uniqueness of each person. However, how much the efficient system is? Does every body mark can give accurate identification? To meet these challenges, an Iris and Foot based Sustainable Biometric Identification Approach (IF-SBIA) has been adopted that considers iris and foot as the identification modalities and after undergoing meticulous examination, renders the supreme results which indicates the perspicacious outcome much better than the conventional biometric system.

引用

页码：396 / 401

页数：6

共 50 条

[31] Iris Feature Extraction as a Biometric Identification Mechanism
Valencia Murillo, Jose Fernando
Cruz Ardila, Juan Carlos
Caicedo Marmolejo, Luis Felipe
Chamorro Carvajal, Carlos E.
REVISTA VIRTUAL UNIVERSIDAD CATOLICA DEL NORTE, 2014, 42 : 182 - 196
[32] A Novel Technique of Iris Identification for Biometric Systems
Garagad, Vishwanath G.
Iyer, Nalini C.
2014 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2014, : 973 - 978
[33] Stochastic Model Based Approach for Biometric Identification
Islam, Mofakharul
Venkataraman, Sitalakshmi
Alazab, Mamoun
TECHNOLOGICAL DEVELOPMENTS IN NETWORKING, EDUCATION AND AUTOMATION, 2010, : 303 - 308
[34] Identification Approach Lip-Based Biometric
Travieso, Carlos M.
Briceno, Juan C.
Alonso, Jesus B.
RECENT ADVANCES IN INTELLIGENT ENGINEERING SYSTEMS, 2012, 378 : 341 - 360
[35] ECG Biometric Identification: A compression based approach
Bras, Susana
Pinho, Armando J.
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 5838 - 5841
[36] Implementation of a multiple biometric identification system based on face, fingerprints and iris recognition
Stroica, Petre
Vladescu, Marian
ADVANCED TOPICS IN OPTOELECTRONICS, MICROELECTRONICS, AND NANOTECHNOLOGIES VI, 2012, 8411
[37] Biometric Personal Identification Based On Iris Recognition Using Complex Wavelet Transforms
Hariprasath, S.
Mohan, V.
ICCN: 2008 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING, 2008, : 451 - 455
[38] Face-Iris Multimodal Biometric Identification System
Ammour, Basma
Boubchir, Larbi
Bouden, Toufik
Ramdani, Messaoud
ELECTRONICS, 2020, 9 (01)
[39] Iris recognition system expands biometric identification field
Paultre, AL
ELECTRONIC PRODUCTS MAGAZINE, 1999, 41 (09): : 26 - 26
[40] A multi-biometric iris recognition system based on a deep learning approach
Al-Waisy, Alaa S.
Qahwaji, Rami
Ipson, Stanley
Al-Fahdawi, Shumoos
Nagem, Tarek A. M.
PATTERN ANALYSIS AND APPLICATIONS, 2018, 21 (03) : 783 - 802

← 1 2 3 4 5 →