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Fingerprint recognition using wavele...

Ramalingegowda, Avinash Hnhalli.

Fingerprint recognition using wavelets and principal component analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fingerprint recognition using wavelets and principal component analysis./
Author:	Ramalingegowda, Avinash Hnhalli.
Description:	88 p.
Notes:	Source: Masters Abstracts International, Volume: 45-01, page: 0423.
Contained By:	Masters Abstracts International45-01.
標題:	Engineering, Electronics and Electrical. -
電子資源:	Download PDF (下載PDF全文)
ISBN:	9780542829741

Fingerprint recognition using wavelets and principal component analysis.
Ramalingegowda, Avinash Hnhalli.

Fingerprint recognition using wavelets and principal component analysis. - 88 p.

Source: Masters Abstracts International, Volume: 45-01, page: 0423.

Thesis (M.S.)--Texas A&M University - Kingsville, 2006.

In this thesis, a novel method for fingerprint recognition using wavelet transform and 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 of the image. In order to reduce the computational time and for efficient memory usage, the grey-scale image is decomposed using wavelets. The approximate coefficients of the resultant decomposed image serves as the fingerprint database. The proposed algorithm is tested on a database using PCA and recognition rate of more than 90% is obtained. This algorithm can be used on a desktop computer to recognize small group of users effectively and efficiently.

ISBN: 9780542829741Subjects--Topical Terms:

170927
Engineering, Electronics and Electrical.

Fingerprint recognition using wavelets and principal component analysis.
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020 $a 9780542829741
035 $a (UnM)AAI1437271
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100 1 $a Ramalingegowda, Avinash Hnhalli. $3 1000006164
245 1 0 $a Fingerprint recognition using wavelets and principal component analysis.
300 $a 88 p.
500 $a Source: Masters Abstracts International, Volume: 45-01, page: 0423.
500 $a Adviser: Rajab Challoo.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2006.
520 $a In this thesis, a novel method for fingerprint recognition using wavelet transform and 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 of the image. In order to reduce the computational time and for efficient memory usage, the grey-scale image is decomposed using wavelets. The approximate coefficients of the resultant decomposed image serves as the fingerprint database. The proposed algorithm is tested on a database using PCA and recognition rate of more than 90% is obtained. This algorithm can be used on a desktop computer to recognize small group of users effectively and efficiently.
590 $a School code: 1187.
650 4 $a Engineering, Electronics and Electrical. $3 170927
650 4 $a Computer Science. $3 1000005419
690 $a 0544
690 $a 0984
710 2 0 $a Texas A&M University - Kingsville. $3 1000006165
773 0 $t Masters Abstracts International $g 45-01.
790 1 0 $a Challoo, Rajab, $e advisor
790 $a 1187
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1437271 $z Download PDF (下載PDF全文)