Application of Fuzzy Pattern Recognition on Fingerprint Processing

Author

Yuan, Li

Author_Institution

Sch. of Autom., Beijing Union Univ., Beijing, China

Volume

2

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

660

Lastpage

663

Abstract

The presented fuzzy pattern recognition method based on intelligent reasoning logic has applied to fingerprint identification. The fuzzy characteristic and membership function are choosing for fuzzy matching. The recognition method based on membership function is used to make certain the starting point for pattern-matching. The similar template is found by recognition method based on closeness principle. At last, the recognition result is acquired by clustering analytical method. The method presented in the paper has high recognition rate and accuracy through the test.

Keywords

fingerprint identification; fuzzy logic; fuzzy set theory; image matching; clustering analytical method; fingerprint identification; fuzzy matching; fuzzy pattern recognition method; intelligent reasoning logic; membership function; pattern-matching; Automation; Fingerprint recognition; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Image matching; Pattern analysis; Pattern matching; Pattern recognition; Uncertainty; Fuzzy recognition; fingerprint processing; membership function; pattern- matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.394

Filename

5287770