A fingerprint matching algorithm based on relative topological relationship among minutiae

Author

Wei-bo Zhong ; Xin-bao Ning ; Chen-jian Wei

Author_Institution

Dept. of Electron. Sci.& Eng., Nanjing Univ., Nanjing

fYear

2008

fDate

7-11 June 2008

Firstpage

225

Lastpage

228

Abstract

The relative topological relationship among minutiae was used in fingerprint matching for its changeless characteristics in distorted fingerprints. Each minutia was defined by a characteristic record in which the minutia type and the relative topological relationship among the minutia and its 5 nearest neighbors are included. The fingerprints matched or not depend on the number of minutiae matched. The experiment results show that the algorithm presented in this paper is insensitive to both linear and nonlinear distortions in fingerprint.

Keywords

fingerprint identification; image matching; nonlinear distortion; fingerprint matching algorithm; minutiae matching; nonlinear distortions; topological relationship; Biomedical signal processing; Educational institutions; Feature extraction; Fingerprint recognition; Fingers; Image restoration; Nearest neighbor searches; Neural networks; Nonlinear distortion; Signal processing algorithms; fingerprint matching; topological relationship;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2008 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-2310-1

Electronic_ISBN

978-1-4244-2311-8

Type

conf

DOI

10.1109/ICNNSP.2008.4590344

Filename

4590344