System for multimodal biometric recognition based on finger knuckle and finger vein using feature‐level fusion and k‐support vector machine classifier-Reference-Cited by-同舟云学术

System for multimodal biometric recognition based on finger knuckle and finger vein using feature‐level fusion and k‐support vector machine classifier

Published:2017-01-12 Issue:3 Volume:6 Page:232-242
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Veluchamy S.¹,Karlmarx L.R.²

Affiliation:

1. ECE DepartmentAnna University Regional CampusMaduraiTamil Nadu625019India

2. Department of ECEThiagarajar College of EngineeringMaduraiTamil Nadu625015India

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2016.0112

Reference32 articles.

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3. A multimodal biometric system based on palmprint and finger knuckle print recognition methods;Perumal E.;Inf. Technol.,2015

4. Finger knuckle surface biometrics;Neware S.;Eng. Technol. Adv. Eng.,2012

5. Finger multi‐biometric cryptosystem using feature‐level fusion;Lu L.;J. Signal Process., Image Process. Pattern Recogn.,2014

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