In this paper, we compare genetic-based feature selection (GEFeS) and weighting (GEFeW) techniques for multi-biometric recognition using face and periocular biometric modalities. Our results show that fusing face and periocular features outperforms face-only and periocular-only biometric recognition. Of the two genetic-based approaches, GEFeW outperforms GEFeS.

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Cited By

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Morris CAbegaz TPayne B(2022)Effectiveness of Periocular Biometric Recognition Under Face Mask RestrictionsBreakthroughs in Digital Biometrics and Forensics10.1007/978-3-031-10706-1_11(241-255)Online publication date: 15-Oct-2022
https://doi.org/10.1007/978-3-031-10706-1_11
Richardson ADozier GKing MChapman R(2020)‘Uh-oh Spaghetti-oh’: When Successful Genetic and Evolutionary Feature Selection Makes You More Susceptible to Adversarial Authorship Attacks2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283352(567-571)Online publication date: 11-Oct-2020
https://dl.acm.org/doi/10.1109/SMC42975.2020.9283352
Galdi CBoyle JChen LChiesa VDebiasi LDugelay JFerryman JGrudzień AKauba CKirchgasser SKowalski MLinortner MMaik PMichoń KPatino LPrommegger BSequeira ASzklarski ŁUhl A(2020)PROTECT: Pervasive and useR fOcused biomeTrics bordEr projeCT – a case studyIET Biometrics10.1049/iet-bmt.2020.00339:6(297-308)Online publication date: 24-Sep-2020
https://doi.org/10.1049/iet-bmt.2020.0033
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Index Terms

A comparison of genetic feature selection and weighting techniques for multi-biometric recognition
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Published In

ACMSE '11: Proceedings of the 49th annual ACM Southeast Conference

March 2011

399 pages

ISBN:9781450306867

DOI:10.1145/2016039

Conference Chair:
Victor Clincy
Kennesaw State University
,
General Chairs:
Ken Hoganson
Kennesaw State University
,
Jose Garrido
Kennesaw State University
,
Program Chair:
Venu Dasigi
Southern Polytechnic State University

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 March 2011

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ACM SE '11: ACM Southeast Regional Conference

March 24 - 26, 2011

Georgia, Kennesaw

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Overall Acceptance Rate 502 of 1,023 submissions, 49%

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Cited By

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Morris CAbegaz TPayne B(2022)Effectiveness of Periocular Biometric Recognition Under Face Mask RestrictionsBreakthroughs in Digital Biometrics and Forensics10.1007/978-3-031-10706-1_11(241-255)Online publication date: 15-Oct-2022
https://doi.org/10.1007/978-3-031-10706-1_11
Richardson ADozier GKing MChapman R(2020)‘Uh-oh Spaghetti-oh’: When Successful Genetic and Evolutionary Feature Selection Makes You More Susceptible to Adversarial Authorship Attacks2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9283352(567-571)Online publication date: 11-Oct-2020
https://dl.acm.org/doi/10.1109/SMC42975.2020.9283352
Galdi CBoyle JChen LChiesa VDebiasi LDugelay JFerryman JGrudzień AKauba CKirchgasser SKowalski MLinortner MMaik PMichoń KPatino LPrommegger BSequeira ASzklarski ŁUhl A(2020)PROTECT: Pervasive and useR fOcused biomeTrics bordEr projeCT – a case studyIET Biometrics10.1049/iet-bmt.2020.00339:6(297-308)Online publication date: 24-Sep-2020
https://doi.org/10.1049/iet-bmt.2020.0033
Chen LFerryman J(2015)Combining 3D and 2D for less constrained periocular recognition2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)10.1109/BTAS.2015.7358753(1-6)Online publication date: 8-Sep-2015
https://dl.acm.org/doi/10.1109/BTAS.2015.7358753
Oh KOh BToh KYau WEng H(2014)Combining sclera and periocular features for multi-modal identity verificationNeurocomputing10.1016/j.neucom.2013.01.066128(185-198)Online publication date: 1-Mar-2014
https://dl.acm.org/doi/10.1016/j.neucom.2013.01.066
Alford ABryant KAbegaz TDozier GKelly JShelton JSmall LWilliams JWoodard DRicanek K(2012)Genetic and evolutionary methods for biometric feature reductionInternational Journal of Biometrics10.1504/IJBM.2012.0476424:3(220-245)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1504/IJBM.2012.047642
Beom-Seok Oh Kangrok Oh Kar-Ann Toh (2012)On projection-based methods for periocular identity verification2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)10.1109/ICIEA.2012.6360847(871-876)Online publication date: Jul-2012
https://doi.org/10.1109/ICIEA.2012.6360847
Shelton JAdams JAlford AVenable MNeal SDozier GBryant K(2012)Mitigating replay attacks using Darwinian-based Feature Extraction2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications10.1109/CISDA.2012.6291539(1-7)Online publication date: Jul-2012
https://doi.org/10.1109/CISDA.2012.6291539
Alford APopplewell KDozier GBryant KKelly JAdams JAbegaz TShelton JRicanek KWoodard D(2011)A comparison of GEC-based feature selection and weighting for multimodal biometric recognition2011 IEEE Congress of Evolutionary Computation (CEC)10.1109/CEC.2011.5949959(2725-2728)Online publication date: Jun-2011
https://doi.org/10.1109/CEC.2011.5949959

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