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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 6    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 6,June 2012
SCIFI-A Project Proposal - Soft Computing for Identification of Fingerprint Image
Full Text(PDF, )  PP.153-157  
Author(s)
Samayita Bhattacharya, Kalyani Mali
KEYWORDS
— Back-propagation Neural Network, Fingerprint, Fingerprint Matching, Fuzzy Logic, Minutia, Neural Network.
ABSTRACT
To uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits is called as Biometrics. Biometrics is one of the biggest tendencies in human identification. The fingerprint is the most widely used biometric. However considering the automatic fingerprint recognition a completely solved problem is a common mistake. The most popular and extensively used method is the minutiae-based method (minutia are specific points in a finger image. It is the unique, measurable physical characteristics scanned as input and stored for matching by biometric systems. For fingerprints, minutiae include the starting and ending points of ridges, bifurcations and ridge junctions among other features). There are many different algorithms being used to get this accomplished. Here we have discussed soft computing tools namely fuzzy logic and neural network and how they can be used in fingerprint recognition.
References
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[3] A. K. Jain, L. Hong, and R. Bolle, “On-line fingerprint verification,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 4, pp. 302–314, Apr. 1997.

[4] A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, “An identity authentication system using fingerprints,” Proc. IEEE, vol. 85, no. 9, pp. 1365–1388, Sep. 1997.

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*8+ Kalyani Mali and Samayita Bhattacharya, “Soft Computing Approach towards Fingerprint Recognition”, Proc of National Conference on Recent Trends in Soft Computing (NCRTSC 2011), ISBN 978-93-81006-03-0, pp 95- 99.

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