Multimodal Biometric System for Person Identification using Wavelet Function
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
In this paper, a multimodal biometric system which combines features of face, fingerprint and iris to overcome numerous limitations of unimodal biometric systems is presented. The quality of face, fingerprint and iris images are firstly enhanced using a series of pre-processing techniques such segmentation, normalization etc. Then the features of all these three traits are extracted from the pre-processed images. This approach has been tested on a Casia database consisting of 90 images and shows promising results as compared to other techniques.
Authors and Affiliations
Ramneet Kaur, Jyoti Saxena, Sukhjnder Singh
Keywords
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