Fingerprint Recognition Using Inter Ridge Variation

Author

Ramachandra, A.C. ; Raghavendra, M.A.N.S. ; Raja, Kiran B. ; Venugopal, K.R. ; Patnaik, L.M.

Author_Institution

Dept. of ECE, ACE, Bangalore, India

fYear

2010

fDate

19-21 Nov. 2010

Firstpage

207

Lastpage

212

Abstract

The Fingerprint is widely used biometric to identify and authenticate a person in the society. In this paper we propose Fingerprint Recognition using Inter Ridge Variation (FRIRV) algorithm. The finger print is segmented into 8*8blocks and variance of each block is determined. The threshold value is fixed to remove minimum variance blocks to get Area of Interest (AOI). Discrete Cosine Transform (DCT) is applied on AOI and converted to major and minor non-overlapping blocks to determine variance, which leads to features of Finger Print. It is observed that the percentage recognition rate is better in our algorithm as compared to the existing algorithm.

Keywords

discrete cosine transforms; fingerprint identification; image segmentation; area-of-interest; biometric; discrete cosine transform; fingerprint recognition; fingerprint segmentation; interridge variation algorithm; Biometrics; DCT; Fingerprint; Percentage Recognition Rate; Ridge Spatial Frequency;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on

Conference_Location

Goa

ISSN

2157-0477

Print_ISBN

978-1-4244-8481-2

Electronic_ISBN

2157-0477

Type

conf

DOI

10.1109/ICETET.2010.16

Filename

5698321