FINGERPRINT RECOGNITION USING WAVELETS AND PRINCIPAL COMPONENT ANALYSIS

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" FINGERPRINT RECOGNITION USING WAVELETS AND PRINCIPAL COMPONENT ANALYSIS "

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]