Automatic fingerprint Identification Using Minutiae Matching
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - May Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-5 | ||
| Year of Publication : 2013 | ||
| Authors :S.Mousmi, Dr.T.Meyappan |
S.Mousmi, Dr.T.Meyappan"Automatic fingerprint Identification Using Minutiae Matching "International Journal of Computer Trends and Technology (IJCTT),V4(5):1407-1413 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - In recent days, as an impact of upcoming technologies, it is very important to authenticate people in a secure way. The online web applications developed for banks and shopping malls and theatres are using the techniques that depend on personal identification numbers, keys, or passwords to every specific end user. These technologies imply the risk of data being forgotten, lost, or even stolen. This could be because of missing out the confidential data unknowingly. Therefore biometric authentication methods promise a unique way to authenticate people. A most secure way of confidential biometric authentication is the utilization of fingerprints. A frequently used technique called “minutiae matching” which can handle automatic fingerprint recognition with all of the above mentioned web application systems.
References-
[1] Shen, Kot and Koo, ?Quality Measures Of Fingerprint Images?, In Proc. Int. Conf. On Audio And Video Based Biometric Person Authentication.
[2] F.A. Afsar, M. Arif and M. Hussain ? Fingerprint Identification and verification system using minutiae Matching ? National Conference on Emerging Technologies 2004.
[3] Xinjian Chen, Jie Tian, Jiangang Cheng, And Xin Yang, ?Segmentation Of Fingerprint Images Using Linear Classifier?, EURASIP JASP 2004:4 (2004).
[4] Bazen and Garez., ?Segmentation Of Fingerprint Images?, In Proc. Workshop On Circuits Systems And Signal Processing, , 2001.
[5] Stefan Klein, Asker Bazen, And Raymond Veldhuis, ?Fingerprint Image Segmentation Based On Hidden Markov Models?.
[6] K. McCalley, D. Setalk, S. Wilson, And J. Schmitt ?Improved Image Quality Of Live Scan Fingerprint Scanners Using Acoustic Backscatter Measurements,? In Proc. Biometric Consortium 8th Meeting, San Jose, Ca, June 1996.
[7] F.R. Livingstone, L. King, J.A. Beraldin And M.Rioux, ?Development Of A Real-Time Laser Scanning System For Object Recognition, Inspection, And Robot Control,? In Proc. Spie Telemanipulator Technology And Space Telerobotics, Boston, Ma, Sept. 1993. Vol. 207, Pp. 454-461.
[8] J. Schneider, ?Improved Image Quality Of Live Scan Fingerprint Scanners Using Acoustic Backscatter Measurements,? In Proc. Biometric Consortium 8th Meeting, San Jose, Ca, June 1996.
[9] W. F. Leung, S. H. Leung, W. H. Lau, And A. Luk, Fingerprint Recognition Using Neural Network, Neural Networks For Signal Processing – Proceedings Of The 1991 IEEE Workshop.
[10] M. Hartman, ?Compact Fingerprint Scanner Techniques? In Proc. Biometric Consortium 8th Meeting, San Jose, Ca, June 1996.
Keywords — Fingerprint, Minutiae Matching, Feature Extraction.