A Review Article on Different Biometric Techniques
Abstract
With enhancement in technology, the personal identification has become a major challenge to conquer. The biometric approach is one of the most accurate, secure and reliable method for personal verification. Biometric device generally works on the principle of pattern recognition that recognizes a person by his different biological features i.e. Fingerprint, retina-scan, iris scan, hand geometry, and face recognition are leading physiological biometrics and behavioural characteristic are Voice recognition, keystroke-scan, and signature-scan
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A. V. Lyamin and E. N. Cherepovskaya, "An Approach to Biometric Identification by Using Low-Frequency Eye Tracker," in IEEE Transactions on Information Forensics and Security, vol. 12, no. 4, pp. 881-891, April 2017.
D. Gupta, "Multimodel biometric system:
Fusiontechniquesandtheir
comparison," 2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), Chandigarh, 2015, pp. 1-4.
Bhatia, Renu. "Biometrics and face recognition techniques." 2013 International Journal of Advanced Research in Computer Science and Software Engineering, vol. 3, pp. 93-99, May 2013
D. Aishwarya, M. Gowri and R. K. Saranya, "Palm print recognition using liveness
detection technique," 2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM), Chennai, 2016, pp. 109-114.
A. Alqahtani, "Evaluation of the Reliability of Iris Recognition Biometric Authentication Systems," 2016 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2016, pp.781-785.
A. Matin, F. Mahmud, S. T. Zuhori and B. Sen, "Human iris as a biometric for identity
verification," 2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, 2016, pp. 1-4.
A. D. Díaz Alonso, C. M. Travieso, J. B. Alonso, M. K. Dutta and A. Singh, "Biometric
personal identification system using biomedical sensors," 2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS), Mathura, India, 2016, pp. 104-109.
F. Jiu, K. Noronha and D. Jayaswal, "Biometric identification through detection of retinal vasculature," 2016 IEEE 1st International Conference on Power
National Conference on Advances in Computer Science
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