scholarly journals Multimodal Biometric Cryptosystem for Face and Ear Recognition Based on Fuzzy Vault

2014 ◽  
Vol 7 (20) ◽  
pp. 4211-4219 ◽  
Author(s):  
Gandhimathi Amirthalingam ◽  
G. Radhamani
Keyword(s):  
Ear Recognition ◽  
Fuzzy Vault ◽  
Biometric Cryptosystem

Improving Accuracy of Decoding Process with Pore-Based Fingerprint Fuzzy Vault in Biometric Cryptosystem

2017 ◽  
Vol 23 (5) ◽  
pp. 4068-4073
Author(s):  
Siti Munawwarah Mahmod ◽  
Salwani Mohd Daud ◽  
Siti Sophiayati Yuhaniz ◽  
Azizul Azizan ◽  
Nilam Nur Amir Sjarif
Keyword(s):  
Fuzzy Vault ◽  
Improving Accuracy ◽  
Biometric Cryptosystem

Cancelable fingerprint fuzzy vault scheme

2008 ◽  
Vol 28 (7) ◽  
pp. 1816-1818 ◽  
Author(s):  
Quan FENG
Keyword(s):  
Fuzzy Vault

A novel approach for ear recognition: learning Mahalanobis distance features from deep CNNs

2021 ◽  
Vol 32 (1) ◽  
Author(s):  
Ibrahim Omara ◽  
Ahmed Hagag ◽  
Guangzhi Ma ◽  
Fathi E. Abd El-Samie ◽  
Enmin Song
Keyword(s):  
Mahalanobis Distance ◽  
Ear Recognition ◽  
Novel Approach ◽  
Recognition Learning

scholarly journals Palmprint Based Multidimensional Fuzzy Vault Scheme

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Hailun Liu ◽  
Dongmei Sun ◽  
Ke Xiong ◽  
Zhengding Qiu
Keyword(s):  
Error Correcting Code ◽  
Experimental Results ◽  
Fuzzy Vault ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Fuzzy vault scheme (FVS) is one of the most popular biometric cryptosystems for biometric template protection. However, error correcting code (ECC) proposed in FVS is not appropriate to deal with real-valued biometric intraclass variances. In this paper, we propose a multidimensional fuzzy vault scheme (MDFVS) in which a general subspace error-tolerant mechanism is designed and embedded into FVS to handle intraclass variances. Palmprint is one of the most important biometrics; to protect palmprint templates; a palmprint based MDFVS implementation is also presented. Experimental results show that the proposed scheme not only can deal with intraclass variances effectively but also could maintain the accuracy and meanwhile enhance security.

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