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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148701
Doc. No : ET20493
Main Entry : AVINASH HNHALLI RAMALINGEGOWDA
Title Proper : FINGERPRINT RECOGNITION USING WAVELETS AND PRINCIPAL COMPONENT ANALYSIS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In this thesis, a novel method for fingerprint recognition using wavelet transformand Principal Component Analysis (PCA) developed using MATLAB is presented.Fingerprint images used for this purpose are taken in grey-scale without any pre-processing (i.e., smoothing, minutiae extraction, ridge thinning and ridge segmentation).Fingerprint images are chosen in such a way that the core point is located at the center ofthe image. In order to reduce the computational time and for efficient memory usage, thegrey-scale image is decomposed using wavelets. The approximate coefficients of theresultant decomposed image serves as the fingerprint database. The proposed algorithm istested on a database using PCA and recognition rate of more than 90 is obtained. Thisalgorithm can be used on a desktop computer to recognize small group of userseffectively and efficiently..
Subject : Electericl tess
: برق
electronic file name : TL43630.pdf
Title and statement of responsibility and : FINGERPRINT RECOGNITION USING WAVELETS AND PRINCIPAL COMPONENT ANALYSIS [Thesis]
 
 
 
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