Security and Privacy in Biometrics: A Review
Keywords:
Biometrics, Recognition, Verification, identificationAbstract
The term “biometrics” is derived from the Greek words bio (life) and metric (to measure).It refers to the Automated Recognition of Individuals based on their physiological or behavioural traits like fingerprints, hand geometry, face, iris recognition, signature, voice and many more. By using biometrics it is possible to confirm or establish an individual’s identity based on “who she is” ,rather than by “what she possesses” (e.g., an ID card) or “what she remembers” (e.g., a password).In this Paper, we give a brief overview of the field of biometrics and summarize some of its advantages, disadvantages, strengths, limitations, and related privacy concerns.
References
Rashmi Singhal and Payal Jain, "BIOMETRICS:ENHANCING SECURITY," Asian Journal of computer science and information technology, pp. 89-92, 2011.
N.K Ratha, J.H Connell, and R.M Bolle, "Enhancing Security and privacy in biometrics based authentication systems," IBM systems journal, pp. 614-634, 2011.
Sampda A Dhole and V.H. Patil, "Person identification using pegfree hand geometry measurement," International journal of engineering science and technology, vol. 4, no. 6, 2012
Biometric Technology Application Manual," in Biometric Basics.: National Biometric Security Project, 2008.
Yaroslav Bulatov, Sachin Jambawalikar, Piyush Kumar, and Saurabh Sethia, "Hand Recognition Using geometric classifiers," ICBA,Hong Kong, pp. 753-759, July 2004.
Pierre Baldi and Yves Chauvin,Neural N etworks for Fingerprint Recognition,Neural Computation 5,pp.402-418,1993
Ayer, J., Lama, K., & Iskandar, B. S. (2009). A Novel Approach to Dynamic Signature Verifi cation Using Sensor-Based Data glove Faculty of Information Science and Technology, Multimedia University, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Faculty of Engin. American Journal of Applied Sciences, 6(2), 233-240.
Salil P. Banerjee,"Biometric Authentication and Identification using Keystroke Dynamics: A Survey", journal of Pattern Recognition Reserch 7(2012) 116-139
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