PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A Scheme for Template Security at Feature Fusion Level in Multimodal Biometric System

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Biometrics is the science of human recognition by means of their biological, chemical or behavioural traits. These systems are used in many real life applications simply from biometric based attendance system to providing security at a very sophisticated level. A biometric system deals with raw data captured using a sensor and feature template extracted from raw image. One of the challenges being faced by designers of these systems is to secure template data extracted from the biometric modalities of the user and protect the raw images. In order to minimize spoof attacks on biometric systems by unauthorised users one of the solutions is to use multi-biometric systems. Multi-modal biometric system works by using fusion technique to merge feature templates generated from different modalities of the human. In this work, a novel scheme is proposed to secure template during feature fusion level. The scheme is based on union operation of fuzzy relations of templates of modalities during fusion process of multimodal biometric systems. This approach serves dual purpose of feature fusion as well as transformation of templates into a single secured non invertible template. The proposed technique is irreversible, diverse and experimentally tested on a bimodal biometric system comprising of fingerprint and hand geometry. The given scheme results into significant improvement in the performance of the system with lower equal error rate and improvement in genuine acceptance rate.
Twórcy
autor
  • Central University of Jammu, Jammu and Kashmir 181143, India
autor
  • I.K. Gujral Punjab Technical University, Jalandhar, Punjab, India
autor
  • Guru Teg Bahadur College, Sangrur, Punjab, India
Bibliografia
  • [1] A. Cavoukian , A Stoianov:” Biometric encryption”, Encyclopedia of Biometrics, Springer Verlag, 2009(a),pp:1-14.
  • [2] Chouaib Moujahdi, George Bebis, Sanaa Ghouzali, Mohammed Rziza: “Fingerprint shell: Secure Representation of Fingerprint Template”, www.elsevier.com/locate/patrec,Pattern Recognition Letters 45 (2014) ,pp 189–196.
  • [3] Abhishek Nagar, Karthik Nandakumar, Anil K. Jain (2010): “A hybrid Biometric Cryptosystem for Securing Fingerprint Minutiae
  • [4] Templates”, journal homepage: www.elsevier.com/locate/patrec , Pattern Recognition Letters 31 (2010) 733–741
  • [5] Ann Cavoukian. "Keynote Paper: Biometric Encryption: “Technology for Strong Authentication, Security and Privacy", The International Federation for Information, Springer verlog, Vol-261, 2008, pp 57-77.
  • [6] Anthony Vetro, S. Draper, S. Rane, J.n Yedidia,”Securing Biometric Data”, Distributed Source Coding, P. L. Dragotti and M. Gastpar Eds., Academic Press, Feb. 2009, pp. 1-16.
  • [7] Anil K. Jain, Karthik Nandakumar, and Abhishek Nagar” Review Article Biometric Template Security”, Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume-5, 2008.
  • [8] V. Evelyn Brindha, A. M. Natrajan : “ Multi Modal Biometric Template security: Finger Print and PalmPrint base Fuzzy Vault, Journal of Biometrics and Biostatistics, Open Access Journal, ISSN:2155-6180, Volume 3, Issue-3 ,pp:1000150.
  • [9] Mohamed Khalil- Hani, Muhhad N. Marsono, Rabia Bakhteri :“Biometric encryption based on fuzzy vault scheme with a fast chaff generation algorithm” journal homepage: www.elsevier.com/locate/fgcs, Future Generation Computer Systems 29 (2013), pp:800–810.
  • [10] Yi C. Feng, Pong C. Yuen, Anil K. Jain : “A Hybrid Approach for Generating Secure and Discriminating Face Template”, IEEE Transactions on Information Forensics and Security, Vol. 5, No. 1, March 2010.
  • [11] Li Lu, Jialiang Peng : “Finger Multi-biometric Cryptosystem using Feature-Level Fusion”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7, No.3 (2014), pp.223-236.
  • [12] Abhishek Nagar, Karthik Nandakumar, Anil K. Jain : “Multibiomtric Cryptosystems Based on Feature-Level Fusion”, IEEE Transactions on Information Forensics and Security, Vol. 7, No. 1, Feb. 2012, pp: 255-268.
  • [13] Marius Iulian Mihailescu: “New Enrollment Scheme for Biometric Template using Hash Chaos-Based Cryptography”, Elsevier, Science Direct, doi: 10.1016/j.proeng.2014.03.142, Procedia Engineering 69 (2014 ) 1459 – 1468.
  • [14] V.S.Meenakshi, Dr.G.Padmavathi: “Security Analysis of Password Hardened Multimodal Biometric Fuzzy Vault with Combined Feature Points Extracted from Fingerprint, Iris and Retina for High Security Applications”, Elsevier, Science Direct, Procedia, Computer Science 2 (2010) 195–206.
  • [15] Munaga V.N.K. Prasad, C. Santhosh Kumar: “Fingerprint template protection using multiline neighboring relation”, www.elsevier.com/locate/eswa, International Journal of Expert Systems with Applications 41 (2014), pp- 6114–6122.
  • [16] Peng Li, Xin Yang, Hua Qiao,Kai Cao, Eryun Liu, Jie Tian: “An effective biometric cryptosystem combining fingerprints with error correction codes”, journal homepage: www.elsevier.com/locate/eswa, Expert Systems with Applications 39 (2012) 6562–6574.
  • [17] D. Petralta, I. Triguero, R. Sanchez- Reillo, F. Herrera, J. M. Bentez (2014): “Fast Fingerprint Identification for Large Databases”, Pattern Recognition 47, Elsevier, pp: 588-602
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e71cd50d-dc8d-4dd7-bcb5-84993b13b7bc
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.