Abstract
In today's networked world the requirement for security frameworks are becoming tighter because of an increase in violations like PC hacking, unlawful access of ATM, cellphone and security ruptures in government agencies, and what's more, private structures. Lawbreakers exploit basic imperfections in the traditional security frameworks. For these security issues, biometric acknowledgment framework is utilized for identifying individuals using distinguishable and exclusive proof. Biometrics of an individual can' be hacked effortlessly as opposed to a password. A multimodal framework can consolidate any number of free biometrics and make any biometric system a lot stronger than using only one biometric as user's confirmation device. The combination of numerous biometrics reduces the framework mistake rate as well. Combination strategies incorporate a strategy of converging biometric modalities consecutively until the point that an adequate match is reached. This paper proposes a block diagram of multimodal biometrics; likewise, discusses the utilization of biometric frameworks and their leeway over the unimodal biometric framework and how a combination of different biometrics can substantially decrease the framework's error rate.
| Original language | English |
|---|---|
| Title of host publication | 2019 International Conference on Computer Communication and Informatics, ICCCI 2019 |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538682593 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 9th International Conference on Computer Communication and Informatics, ICCCI 2019 - Coimbatore, Tamil Nadu, India Duration: 23 Jan 2019 → 25 Jan 2019 |
Publication series
| Name | 2019 International Conference on Computer Communication and Informatics, ICCCI 2019 |
|---|
Conference
| Conference | 9th International Conference on Computer Communication and Informatics, ICCCI 2019 |
|---|---|
| Country | India |
| City | Coimbatore, Tamil Nadu |
| Period | 23/01/19 → 25/01/19 |
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An Enhanced 3-Tier Multimodal Biometric Authentication. / Kathed, Aman; Azam, Sami; Shanmugam, Bharanidharan; Karim, Asif; Yeo, Kheng Cher; Boer, Friso De; Jonkman, Mirjam.
2019 International Conference on Computer Communication and Informatics, ICCCI 2019. IEEE, Institute of Electrical and Electronics Engineers, 2019. 8822117 (2019 International Conference on Computer Communication and Informatics, ICCCI 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › Research › peer-review
TY - GEN
T1 - An Enhanced 3-Tier Multimodal Biometric Authentication
AU - Kathed, Aman
AU - Azam, Sami
AU - Shanmugam, Bharanidharan
AU - Karim, Asif
AU - Yeo, Kheng Cher
AU - Boer, Friso De
AU - Jonkman, Mirjam
PY - 2019
Y1 - 2019
N2 - In today's networked world the requirement for security frameworks are becoming tighter because of an increase in violations like PC hacking, unlawful access of ATM, cellphone and security ruptures in government agencies, and what's more, private structures. Lawbreakers exploit basic imperfections in the traditional security frameworks. For these security issues, biometric acknowledgment framework is utilized for identifying individuals using distinguishable and exclusive proof. Biometrics of an individual can' be hacked effortlessly as opposed to a password. A multimodal framework can consolidate any number of free biometrics and make any biometric system a lot stronger than using only one biometric as user's confirmation device. The combination of numerous biometrics reduces the framework mistake rate as well. Combination strategies incorporate a strategy of converging biometric modalities consecutively until the point that an adequate match is reached. This paper proposes a block diagram of multimodal biometrics; likewise, discusses the utilization of biometric frameworks and their leeway over the unimodal biometric framework and how a combination of different biometrics can substantially decrease the framework's error rate.
AB - In today's networked world the requirement for security frameworks are becoming tighter because of an increase in violations like PC hacking, unlawful access of ATM, cellphone and security ruptures in government agencies, and what's more, private structures. Lawbreakers exploit basic imperfections in the traditional security frameworks. For these security issues, biometric acknowledgment framework is utilized for identifying individuals using distinguishable and exclusive proof. Biometrics of an individual can' be hacked effortlessly as opposed to a password. A multimodal framework can consolidate any number of free biometrics and make any biometric system a lot stronger than using only one biometric as user's confirmation device. The combination of numerous biometrics reduces the framework mistake rate as well. Combination strategies incorporate a strategy of converging biometric modalities consecutively until the point that an adequate match is reached. This paper proposes a block diagram of multimodal biometrics; likewise, discusses the utilization of biometric frameworks and their leeway over the unimodal biometric framework and how a combination of different biometrics can substantially decrease the framework's error rate.
KW - Authentication
KW - Biometrics
KW - Fusion
KW - Matching score
KW - Multimodal
KW - Unimodal
KW - Verification
UR - http://www.scopus.com/inward/record.url?scp=85072932303&partnerID=8YFLogxK
U2 - 10.1109/ICCCI.2019.8822117
DO - 10.1109/ICCCI.2019.8822117
M3 - Conference Paper published in Proceedings
T3 - 2019 International Conference on Computer Communication and Informatics, ICCCI 2019
BT - 2019 International Conference on Computer Communication and Informatics, ICCCI 2019
PB - IEEE, Institute of Electrical and Electronics Engineers
ER -