This paper proposes the noble multimodal
biometric system using multiple biometric traits such as face,
ear and finger. This combination of multimodal traits is unique
combination offering a better authenticity and accuracy than the
existing multimodal biometric systems. In this experimentation
the discrete wavelet transforms (DWT) is used for extraction of
features which is followed by the principle component analysis
(PCA). The wavelet coefficients are being extracted with the
help of different wavelets, where only approximation
coefficients are being considered in this experimentation. PCA
offers dimension reduction by generating the principle
components in the form of eigen faces which is used further for
recognition followed by the classification.
Archana Sudhakar
Badve Mahajan : is the student of M.E.
Electronics in SKN Sinhgad Collage of
Engineering Pandharpur, India. She has
completed B.E. in Electronics and
Telecommunications from SVERI’s
College of Engineering ,Pandharpur,
India.
Dr. Karande Kailash
Jagannath : has completed his Ph.D in
Electronics and Telecommunication from S.
R.T.M University, Nanded, India. He has
total 18 Publications in International and
National Journals and Conferences. He is
member of ISTE and IETE. Currently he is
working as Principal at SKN Sinhgad College
of Engineering, Pandharpur, India.
Multimodal Biometric System
DWT
PCA
Fusion
at Decision Level
In this paper we have explained multimodal biometric
recognition system using face ear and finger as biometric
traits. If we observe the results achieved, the percentage of
recognition accuracy is increasing as we increase the
number of biometric traits by providing a more authentic
system. As results achieved with our experimentation are
on self-generated database, hence we have not compared
our results with existing results of other researchers. The
purpose of our work is to develop a multimodal biometric
system with additional traits for giving the more accurate,
more authentic system by increasing and retaining the
secrecy of the data.
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