An Efficient Technique for Fingerprint Features Protection and Person Identification Using Wavelet Transform
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 4, Issue 5
Abstract
Fingerprint recognition is a widely used technique for person identification. The two major techniques for fingerprint identification are minutiae based technique and non-minutiae based technique. In this paper we propose a Discrete Wavelet Transform (DWT) based Fingerprint Recognition technique. The main objective of this paper is to secure the fingerprint features stored in the database and for person identification. Here, Fingerprint image is decomposed into multi resolution sub bands namely LL, LH, HL and HH by applying 3 level DWT. The dominant values like mean energy, Shannon entropy and standard deviation are computed. Feature vectors are generated from the above values and they are encrypted using Hadamard transform technique and stored in the database. In Identification stage, comparison of test fingerprint with the database fingerprint is made based on Euclidean distance value for all the features. Finally, the parameters like FAR, FRR, TSR are estimated. It is found that the experimental results based on Discrete Wavelet Transform are efficient over other existing techniques.
Authors and Affiliations
C. Abirami, Dr. M. Baritha Begum
Keywords
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