Content-based Image Retrieval by Information Theoretic Measure
In: Defence science journal: a journal devotet to science & technology in defence, Band 61, Heft 5, S. 415-431
ISSN: 0011-748X
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In: Defence science journal: a journal devotet to science & technology in defence, Band 61, Heft 5, S. 415-431
ISSN: 0011-748X
In: Defence science journal: DSJ, Band 52, Heft 3, S. 293-302
ISSN: 0011-748X
In: Defence science journal: a journal devotet to science & technology in defence, Band 52, Heft 3, S. 293-302
ISSN: 0011-748X
In: Defence science journal: DSJ, Band 66, Heft 6, S. 600
ISSN: 0011-748X
Computers play an important role in our daily lives and its usage has grown manifolds today. With ever increasing demand of security regulations all over the world and large number of services provided using the internet in day to day life, the assurance of security associated with such services has become a crucial issue. Biometrics is a key to the future of data/cyber security. This paper presents a biometric recognition system which can be embedded in any system involving access control, e-commerce, online banking, computer login etc. to enhance the security. Fingerprint is an old and mature technology which has been used in this work as biometric trait. In this paper a fingerprint recognition system based on no minutiae features: Fuzzy features and Invariant moment features has been developed. Fingerprint images from FVC2002 are used for experimentation. The images are enhanced for improving the quality and a region of interest (ROI) is cropped around the core point. Two sets of features are extracted from ROI and support vector machine (SVM) is used for verification. An accuracy of 95 per cent is achieved with the invariant moment features using RBF kernel in SVM.
In: Defence science journal: a journal devotet to science & technology in defence, Band 61, Heft 5, S. 431-443
ISSN: 0011-748X
In: Advances in Multimedia Information Processing — PCM 2002; Lecture Notes in Computer Science, S. 287-294